>> live from Las Vegas. It's the Cube covering magenta. Imagine twenty nineteen. Brought to you by Adobe. >> Welcome back to the Cube. Live from Las Vegas, Lisa Martin with Jeff correctly or coming to you from Magenta. Imagine twenty nineteen with about thirty, five hundred or so folks here. Big community, big open source spirit. We're very pleased to welcome from the keynote stage. Jenny Chang, The pee at PayPal. Jennie. Welcome to the Cube. >> Thank you. Thanks for having me, Lee. >> So really enjoyed your keynote this morning. We'Ll get into a lot of the specifics, but just looking at Magenta Oh, Adobe, This evolution of e commerce that's really driven by consumers. We want to have everything right on her phone as easily as possible. We went out lightning fast. Talk to us. About From what? You seen this evolution of e commerce and where we are today. >> Yeah, It's been a fascinating journey. Toe watch us move from point no sale, mood from brick and mortar Teo online and engaged. And I think as part of that, you know, you think about the amount of time you spend on your mobile phone. It's not surprising that most sites. Fifty percent of the visitors on that site are on their mobile devices, and they're staying longer. Maybe you're killing time, right? Waiting for your husband to finish something or your child to come out of class. And so we naturally tend to get on our mobile phones, and we look for things to do so that engagement on the mobile phone it becomes absolutely critical and what's been fascinating As part of the conference, we've been sharing some early results about mobile optimization. And what we're finding is, even though engagement is going up from a mobile phone, revenue is not there. >> The gap. >> Yeah, there's a big, big gaffe, and you look at that. And you think, Well, I need to figure out how to actually convert some of these people coming to my website. So we've been partnering with a lot of the Sai community here, really interest in trying to understand best practices, and it's been a fun process for almost the last year. Things that you would think would help conversion don't necessarily help. And then the very, interestingly enough, other things that you may have said well, that seems unnecessary or busy on my mobile phone are actually improving conversion. So we've been really just sharing our early results in really encouraging everyone to participate. It's free, and we want to do is really come up with best practices and really help everyone essentially convert more and get more revenue. >> There's two things that strike me. It is you say that one is just the behaviour of a mobile phone in interaction is so different. You said. It's often when you're waiting, waiting in the grocery store line, you're waiting to pick up your kid your weight. So it is a much more kind of frequent fast in and out which which we keep hearing right. You need to connect with people over time in both the ways. But the other thing, when you say the conversion is actually not as high as you would expect. But at the same time we're hearing now that the content is so much so important and having things that aren't directly commerce to drive your engagement with that client in the way of content and forums and other things. I wonder if maybe that's why the conversion is there. You're getting him there, which is great they're hanging out longer, which I'm sure is a terrific metric. So maybe they're not converting because they're engaging with that other content arm or engaging with the brand. A >> combination of a couple things and one of them tear point is, you know, for better, Worse. You're easily interrupted when you're on your mobile phone to >> just trip when >> we have you, how can we quickly get to you? Pass that point of check out right? And I think part of that is, as you know, it's if you're like me, I will. Fat finger. You know, I have a difficult time typing on my mobile device. So wanted things we talk a lot about is removing that friction. So how do you make it really easy? See right. So if you're able to store your credentials, if you're able to make it simple to check out right, that's ultimately the goal for a lot of our merchants here, which is when we've got you. We've got to capitalize on your attention right at that moment in time and make it super easy for you to convert one of things that's been interesting about the optimized kind of mobile optimization results we've seen is that what we're finding is that a lot of people, what they're looking for at that point of engagement is coupon codes and you get distracted. You'LL think Well, I'm going to buy that. But maybe I need to go look for a coupon. >> Go back to my email me >> on And so you know So there are a lot of interesting ideas that were having as a community to share. How can we do that? How can we make sure? Maybe you get your coupon code, but you don't click off and disappear and maybe forget to come back on. I notorious for doing that. I'm also notorious for putting something in my shopping cart getting distracted and walking away. And so I think a lot of it is looking at these various ways to make sure you are back and engaged. And I think this is a big part of where the journey will go with the Palmers going forward. I think we'LL be looking at now that we've got your eyeballs. Now that we've got your time, how do we convince you this is going from a browse mode? Teo actual shop mode, >> right, creating more shop, a ble moments as magenta is marketing, material says. But also to your point about simplicity, probably for even any any generation is its basic marketing. Don't deliver a great piece of content and have a hyperlink in the first sentence that's going to take your audience somewhere else. Keep me in the experience. Use enough money. What do you say? Enough of the data to where it's going from. Creepy Teo >> Magic, Right, Right, right, right. If it works, it should be magic, right? But I already bought the tent. Now I need it. I need a sleeping bag. Don't keeps his enemy tent ads, right? >> Right. But that simplicity is sort of in AP in experience. Consistency is really key. Otherwise, your point and your point. We're doing this often while we're doing something else. There's a lot of multitasking going on. Make it easier, but also use the data with these systems that you're integrated with to know exactly. I bought it sent. I don't need one, but I might need that these other things >> right, right. And I think that's really where things are moving with artificial intelligence and machine learning We're trying to understand us a shopper and be able to predict right What else? You know, Bond from the tents. Now, maybe it's time to get a low. You know, uh, camper, maybe that's your next step up, right? Maybe you move into an RV. Who knows? Right. So I think there are evolution's to that buying experience >> with other evolution. Which people is that the very beginning was the alternative payment methods, right? Not not just your basic credit card or cash. And I don't know. It's a lot of people know that you guys have venmo, which if you have kids, you know we don't have young kids. You don't know what Venmo is. I wonder if you've got a take on, you know, as these alternative methods by come up and then we're also surrounded with alternative financing types of platforms where they're not using traditional FICO scores. They're not using kind of a traditional apply get approved process. It's really dynamic on the financing side as well. >> Yeah, onto your point. So PayPal. One of our best kept secrets I like to say is that we have both Braintree and Venmo is part of our overall services and then even broader than that. What we've done is packaged up the ability to really think about alternative pay methods based on what region you're on as well, because depending where you are outside the U. S. You might actually use a completely different payment method. And I think for us in the U. S. Were not as familiar with some of these other payment options. And what it does is it really allows for a lot more cross border trade as well for our merchants as they would look and offer kind of what is most relevant again. Get to you to go from brows mode to actually check out mode and to get to that actual conversion piece. So that's one of them. And then I would say, just generally on the credit comment, we actually credit at PayPal as well. And what we're always looking at is what our other ways we can help people finance and really kind of worked through the evolution of payments. I think some of the statistics that you've probably heard related to savings in the US, especially it's a bit staggering that we have, on average, uh, majority people have less than four hundred dollars in savings there, one paycheck away. And the reality is, it's tough. That's a really, really tough. And so I think, to be able tio, have a source of credit where you could bridge that gap and, to your point, not have to go through the entire credit processes. Sara Lee I think having those options are always good. >> Talk to us about what you guys are doing with Walmart. He showed that you came here this morning that it was very interesting from a collaboration. A partnership standpoint. >> I'm very passionate about this because pay panelists overall has a mission of democratizing financial services, and I think we're very fortunate being in high tech and being in the situation. We are where we're able, Tio not be intimidated necessarily by all this new technology on all the different options out there. So the partnership with Walmart was at the end of last year, and it really was looking at How do we get people access to their papal dollars easier, Faster and we continuously see this divide between the digital on the physical realms of accessing money. And so we opened up an option partnering with WalMart for us, which is it's really easy to rip a pal out. You bring up a unique bar code, you can go into a Wal Mart store and essentially like a debit card. It debits it out of your PayPal account and the Wal Mart cashier hand. You're the catch, which is super convenient again and an easy way to get to your money if you need something immediately. So I'm really excited. Proud of that, >> he said. You launch that last year. Some of the data, the market data that demonstrated that this was a good direction, her paper out to go in to be able to open up. This is a CZ, the ability to give people more access to their dollars, whether they're online or in physical locations. >> Yeah, I think it's someone of those overall statistics. We look at a lot because we're really looking at continuously bridging our open two sided network. We've got this great merchant face twenty one million merchants and then we're at almost round track to be almost three hundred million consumers, and we can we look at the consumer side and you think about Venmo you think about papal? We really started as a peer to peer right now, right? Oh, I owe you twenty bucks for dinner last night. Let me pay, pal. You that money, let me venmo you that money. And at some point, the question becomes will. Then how do I easily access my money? How do I make sure that I have access to it again? Not just digitally, but physically. And I think when we're looking at those realms, we're looking at more options to give people that ability, that if they need to get to that cash quickly, that can get to it quickly. They don't need to worry about getting to a bank. Um, you know, I think the reality is it's easier to get to a lot of Wal Mart stores in the U. S. Then it is necessarily to every bank out there. And so I think we're constantly looking at where can partnerships really add value to our overall customer base? And as I mentioned this morning's keynote, I love when partners really can work together and it becomes truly, you know, a little bit of a trite saying. But no one plus one is greater than two scenario, and I think when you can do that, it adds so much value to both sides of the equation. That's was really exciting for me. That's why I love partners, >> but also giving cut consumer's choice. Where you think this morning in your keynote, you showed this cute picture daughter approved your girl's in that ten years ago and then today, and, you know, ten years ago you couldn't just go in on happened order groceries. Now you were saying, when you know your mom would have to get multiple stores to get what you want, and now we can get it so easily. But there's also this sort of interesting dynamic where people still want to have that physical interaction, depending on the type of product or service. So being able to give customers that choice of being able to transact it through the app online or being able to access their money, for example, your Walmart. I mean, oftentimes, if I'm running out running errands and I don't have my wallet, and I know all right, I know the stories I can use bright certain payment methods from my phone, and that's great because I had that choice. And that's something that seems like PayPal is working to facilitators meeting consumer demand. Where it is. >> Yeah, I think that's the reality of what? Where we live right now, which is our customers want us there at that point of engagement. So don't make me necessarily. Come, Teo, you I would like you to come to me and you know, for better. Worse. It is a little bit of the overall experience that they're looking for, which is to say, I've got my favorite places to either shop or engage on my mobile device. So make it easy for me. And I think that's ultimately what we're kind of looking for. I know is a working parent. I'm always looking for convenience than I've just said. I'm gonna write a book on convenient parenting like that gets work for me. >> That was part of that. We'd be a bestseller. I think parents of humans or canine think we could all use any inspect a >> furry child as well. So yes, >> I'm curious what we're going to see in the next year, too. With that conversion of actually enabling an organization to not just have a great mobile experience, whether it's with like progressive Web maps that they were talking about this morning. But it's one thing to have a great mobile experience. It's a whole other thing to convert that to revenue. So curious to see with partnerships of papal, for example, with Beno how merchants of any sides are actually able to start increasing conversion from visitor to revenue. >> And I mentioned it as part of what we're doing with what we're calling smart payment buttons. And I think that's smart. Payment button concept is really again focused on giving you options to check out with whatever is easier for you but also looking to say, Let's make it easy. So how do you do that without having to type everything again? Because if you're an avid online shopper like I'm not, it's It becomes tiresome to feel like you have to sign up at every website, or you have to enter all your shipping information again your payment information. And so I think it's really looking at How do we give you that digital wallet access so that you have the ability to make it easy? Yes, and I think that's ultimately What we're kind of all looking for is how do you make it convenient? Easy for me to do what I want to do and do what I have to do. >> Spend more of my money. Thank you so much for joining me on the Cuban. Talking about what you guys are doing. A papal with your partners with Gento, etcetera. It's very interesting. And we look forward to seeing great things to come and not focus by long Communion. Parenting? Yes. Watch out like an advance. Copy you? Yeah. Thank you. Pleasure. Okay. For Jeff Rick, I'm least Martin live. The Cube is alive. Magenta. Imagine twenty nineteen from Las Vegas. Thanks for watching.

>> Live from Bellevue, Washington, it's theCUBE covering Smartsheet ENGAGE'18, brought to you by Smartsheet. >> Welcome back to theCUBE, we are live at Smartsheet ENGAGE 2018. I am Lisa Martin with Jeff Frick. We're in Bellevue, Washington, and pleased to welcome one of the many customers of Smartsheet to the program, we have the office of the CIO, Jeff Kelly from PayPal. Welcome Jeff, I've got a sandwich of Jeffs here. (laughing) Jeff sandwich, so Jeff, tell us a little bit. Everybody knows PayPal, I was doing some studying over the weekend. 244 million active users, I'm sure that grows by the minute, 200 markets globally served, and you're doing transactions in over 100 currencies. Everybody has been using this for a while now. It's a household term, even my mom knows PayPal, and she can use it. So, tell us about the office of the CIO at PayPal and your role. >> Sure, so my role, specifically I'm a program manager within that office, and my primary responsibility is to make sure that our environment is secure, that it's safe, that it's stable. That way, the other parts of the company, product, can focus on being more strategic. What that really involves is things like hardening our infrastructure, hardening the network, making sure that we can identify all of our assets accurately, so a number of things there just to keep the environment, like I said, stable and secure. >> And, the office of the CIO, I imagine, responsible for communicating regularly with the executive management team, needing to provide visibility? >> Exactly, I mean, our leadership, Brad Strock is the CIO, we work hand-in-hand with the other leaders of the company. But in addition to some of the things I just called out, the CIO, that office is actually responsible for a lot of the enterprise application, so it's basically the software that drives the company, so that's customer, that's our employee facing applications. >> So you're obviously a Smartsheet user which is why you're here and we're grateful for that. Tell us about the pre-Smartsheet era. How were you managing programs and projects? >> I think I've heard this story quite a bit here. So, between spreadsheets, Microsoft Project, Trello, a number of other tools, and we're still in a distributed model, but the good thing is that within the CIO we're able, at this point, in this particular area, right, to come in with a single tool, to serve as a single system of record, to really facilitate bringing the entire portfolio together. So yeah, I'd say before, very distributed, now, it's really consolidated into Smartsheet being our single system, which has really worked well. >> So they showed a video of your case-study during the keynote, and you had a real specific use case, it sounds like, for your initial Smartsheet deployment, which sounds like something that many of us struggle with each and every week, which is to roll up the data to report upstairs. So, I wonder if you can give a little bit of color on what did you have to roll up, what was the scale of effort, and why you decided, this just isn't really working very well-- >> Sure, absolutely, so we set off, around three years ago, we had a three-year program ahead of us, and I'd say at the end of year one, we realized, just, due to the magnitude, the number of people involved, the data involved, and the overall portfolio, we needed a tool to come in and really help us be able to effectively and quickly roll up that information, so that we could present and take that information to our C-suite each week. Yeah, just for effective decision-making, making sure that they're in-tune, they have a line of sight to what's critical, what's not, working on the right things, doing the right thing. So, we considered a number of tools. Again, Microsoft Project, what-not, we landed with Smartsheet, and it was really just word-of-mouth within the company. So we took a look at a handful of tools and really just tried to figure out what fit the bill for what we needed, and a couple of Smartsheet videos on YouTube, we kind of quickly came to the decision, hey, this is certainly a flexible tool, it's easy to ramp, if you know spreadsheets, you pretty much know this, if you're a project manager you know how to build a plan, quite easy. So the ramp time was very minimal. So we made a decision, watched a bunch of YouTube videos, probably spent a month doing that, myself and the team. With the tool being intuitive and those videos, we built a solution basically from the ground up. >> So this is without even having an enga-- this is PayPal, without even having an engagement with an account executive, you were able to find this, like you said, word of mouth, implement this on your own and really enable quite a bit of transformation within the executive team and what they need to see. >> Absolutely, I think, when we look back at the end of year one we made that decision, we realized, hey, we've got some high-price consultants in, and we're probably using half of their time at that point just in relating that data, so you're talking about some heavy dollars that are being spent there, just in administrative-type work. If we can cut that layer out, and go straight to the source, we're saving ourselves a ton, we can redirect those funds to other areas where we actually get some work done. >> So Jeff, how big was the initial deploy, in terms of the team size, because you said you didn't engage Smartsheet directly, you're watching some YouTube videos, and you did see enough there that you wanted to jump in. Did you jump all in from the beginning, did you do kind of a POC, how did you get started, what was kind of the scope? >> Yeah, kind of took a couple demos, straw-man that we just put together on the fly, shared with some of our key stakeholders, you know, "Does this look right? Does it feel right? Are you seeing the information that you think we need?". And the fact that we were able to come up with that so quickly just sold itself, and so yeah vetted it, socialized it a little bit, but it was a pretty easy sell from that point. It was just building it out, and I'd say right from the get go we had already had about 14 programs as part of this portfolio in place at that point in time, so each program having between, I'd say between five and 15 projects within that, so the number of players was quite large, probably about 150 direct players in the program, probably a couple hundred more indirect that want line-of-sight to what we're doing. >> So line-of-sight accountability, how was that embraced by those teams? And we talk a lot about digital transformation, Jeff, at every event, and how cultural transformation is a necessity for that. How have you been able to leverage this tool to kind of evolve that culture within the office of the CIO? >> Yeah, that's a great question. I think, with us being able to cut out that middle-man, when I say middle-man I'm talking PowerPoint slides. If we can get away from that, because a number of things happen there, but predominantly, I mean, you can finger of a PowerPoint slide and all of a sudden, 100 turns to 200 or 1000, something like that, so, hey, if we can just go straight to our system of a record, I mean, each project within this portfolio should have a project plan, they should have a risk and issues tracker, so we really decided, here's the baseline for what we need to have in terms of our data model. If we can have that, then we can produce the dashboards that just read directly from those systems of record, from an accountability perspective, right? That means, there's no tweaking a PowerPoint slide, right, you're reading directly from the project plan, so it is what it is. But, it's reality, and that's what we need to deal with, and we ultimately step in front of the C-suite, right? You need to have, here's where we are, and it needs to be an accurate and timely reflection. I mean, that's another thing, is that timeliness, I mean, this is real-time data that we're talking, so, if something changes 10 minutes before, it's there on the dashboard, we're ready to talk to it. >> Yeah, I don't think there's enough talk about the timeliness, because it is connected directly to the database. It's not something that somebody's reporting on, and so often you get these multiple layers of people extracting data, transcribing it, putting it in to whatever reporting tool they want and just, it just gets further and further from the truth with each passing minute and each passing iteration. >> Absolutely, and we've talked about speed so much here, and so that's obviously a critical factor in decision making, especially, so we want to make sure we have the latest and greatest there. >> So just curious of your experience from a project manager point of view. You're a professional project manager. I'm sure you know all of the big heavy-lifting tools. When you see something like this, which is more of a no-code, kind of low-code, kind of cross platform integration, what type of skills does that open up within the teams, within the data sources, within the ability to do something a lot less, I want to say more nimble, you know, less heavy, than kind of a traditional project management-- >> Sure, I think minimal's a great word to describe it there, because it really, it really is a tool that just is, that you can build from, more of like a grass-roots effort, as opposed to a enterprise, kind of top-down. I'm sure it works well in that use case as well, but, for us, it was something that was able to kind of fill needs that were distributed across the portfolio. Once you start building it up, filling in those gaps, then you realize, hey, we've got kind of an end-to-end tool here that really works well. >> And I'm just curious, interest as other people have engaged with your output, in the organization, in terms of, "Hey, Jeff, can you give us, can you share the PowerPoint links with us?". (mumbling) YouTube links. >> Yeah, I joke because it feels like at this point I'm doing about one demo a week to somebody else in the company, which is a great thing, leveraging best practices, and sharing that information, so, there's certainly a growing user-base within PayPal, of Smartsheet, so I try to keep up with the other teams that are using it so that we are taking our best practices from one another, that we're sharing, and then I think ENGAGE is really helping me connect to those other PayPal users, believe it or not, it's like, there's probably a bit more here than I have back home, so this is great. >> One of the things that was funny that popped up during the keynote this morning, Jeff, was a couple of customer quotes. These were anonymous, but this, what you were saying, kind of, Jeff, it sounds like, and you probably wouldn't say this about yourself so I'll say it for you, is that, this one woman who was a user of Smartsheet in her organization said that Smartsheet made her queen of the world. Sounds like there's some status elevation. But, I'm curious, so you started, you found this organically, yourself, this technology, as Jeff was saying, this is built for business users. You didn't have to have, even though you're in the office of the CIO, you didn't have to have IT's involvement here. But here you are one of the evangelists now for Smartsheet out there, even. Tell us about that engagement, pun intended, that you got with Smartsheet to be able to start, maybe, pay a thumb isn't organically, do you have a sales account exec now, if so are you having conversations with them, are you helping to influence new features and things? >> Sure, I think our admin for Smartsheet at PayPal got tired of me giving them calls, so he said, "Hey, you do know Terren Finstra's your rep, right?". So I reached out to Terren, at this point we've conversed quite a bit and she's brought a number of other kind of ideas and forward thinking to the table that we're considering for next steps, what we can do, but the engagement has been great. They've been very responsive, helped us out when we kind of hit a rock in the road and we need some help, so yeah it's been a great relationship. >> Any way to quantify the benefits, one of the things I was reading on the smartsheet website the other day was some pretty big stats on how they're helping companies save time, which in different ways translates to saving dollars. I think I read the average user of Smartsheet will save about 300 hours per year, that's a lot of time, and the average organization will save over 60,000 hours a year. What's the impact been on the weekly roll-ups that you're able to do, any way to sort of quantify how much that speed has improved? >> Yeah, I mean, if I go back to kind of the original business case, say we're spending probably half the time of two very high-price consultants doing this, I'd say it's way up there, and we were able to save, I'm sure, a couple hundred thousand dollars at least, at the minimum. So, that in itself was a big win. If we look today, kind of where we are and the time that we're able to save using the tool, given the fact that there is that middle layer's just really not there, we don't spend a lot of time on producing content at all. Instead, we can take that time and we can focus it on, okay, where are our trouble areas, where do we need to double down, where do we need to help in making sure that we're actually getting material work done in the areas that we should be rather than just administrative content-- >> Big productivity gains, well Jeff, thank you so much for joining Jeff Frick and I on the cube and sharing what you guys are doing with Smartsheet in the office of the CIO at PayPal. >> Glad to be here, thank you so much. >> Alright, we want to thank you for watching theCUBE. For Jeff and Jeff, I am Lisa Martin, you're watching the cube live from Smartsheet ENGAGE 2018, stick around. This Jeff and I will be right back with our next guest.

(upbeat music) >> Announcer: Live from Orlando, Florida It's theCUBE, covering Grace Hopper's celebration of women in computing. Brought to you by SiliconANGLE Media. >> Welcome back to theCUBE's coverage of the Grace Hopper conference here in Orlando, Florida. I am your host Rebecca Knight. I'm joined by Lybra Clemons. She is the global head of diversity and inclusion at PayPal. Thanks so much for joining us, Lybra. >> Thanks for having me. >> So this is your first time on theCUBE. >> First time on theCUBE, first time at Grace Hopper, first month of PayPal so it's great. >> A newbie, well we are thrilled to have you. >> Thank you. >> And you're actually, frankly, quite new at PayPal, so-- >> Very new. >> You're a month in, so tell us, what does the Global Head of Diversity and Inclusion do? >> I think they do everything, because somehow, someway my calendar is full. It's a combination of things. You know, DNI, Diversity Inclusion, is so important to the CEO, and to the company. So, not only am I involved in all kinds of business meetings, but we're a function of human resources, so there's a recruiting piece of it. There's also the talent management, the development of our diverse talent, as well as engagement. So I'm hitting every single part of kind of your HR employee life cycle, as well as all of these amazing opportunities, like coming to Grace Hopper, partnering with a lot of our smaller organizations and nonprofits who are working on ensuring that there is STEM and tech for young women and girls. As well as, looking into different affinity groups in LGBT, our veterans, just so many opportunities, so I'm constantly like, but it's so fantastic because there's such enthusiasm. Our CEO is really top notch. I mean, Dan Schulman, not only does he talk about diversity, but he is really committed to it. So, I'm telling you, I feel like almost a celebrity, and it's just like, usually the diversity person, they're like, yeah he's our diversity person. But then like, I got introduced the first week, and my email is blowing up, and people were just excited about it, in a good positive way. >> So, let's back up actually, and talk about, you know, one of the things our keynotes were talking about this morning is what do women look for in an employer. What do they want? What do women want Lybra? >> What do people want? >> So when you were looking for your next move in your career, what stood out to you about PayPal, and what made you think, "This is the place". >> That is such a good question. One thing I did, the first thing I did actually, was go to their website, and I looked at their board to see who was on their board from a diversity perspective. And I have to tell you, PayPal's Board of Directors 45% diverse in terms of gender and ethnicity. I don't know another company, or tech company, that's achieving that at that point, so that was completely impressive. I also go to the leadership, and I look to see how many levels down you have to go, to find a woman or a person of color. I didn't have to go that many levels down, and it was an abundance of it. So, for me, that's critical, and I think a lot of woman and even underrepresented minorities, they look for that. If you can't see yourself in the senior ranks, then you just question whether there is a life for you there, and a trajectory for you. So, for me, that was important. Also, just a great, cool culture. I get to wear jeans to work you know. >> But Lybra, how did you find out about the culture? What kind of homework did you do? >> You know, that's a good question. I actually knew someone that worked at PayPal, but it's a far cry from my life in New York, which is wonderful, and there are a lot of companies that actually are casual, but beyond just your attire, there is something about it, every time I met someone at PayPal I didn't hear this, "Oh, I work at PayPal". There's enthusiasm, there's authenticity, which is critical, people are who they are, who they are. They don't come to work and they don't shed whatever it is, they can be whoever they want. That, to me, is so important, because I have a personality, I also have an idea, I have a vision. >> Rebecca: I have no idea, Lybra. >> Yeah, no personality, but that's so important to me. So, there was a place where people can feel like they can bring themselves to work, and I know it's a cliche, but you really can. And I think there's also a piece where people actually care about what other people think. I think there's like not a lot of group think, which, a lot of companies are like, "Get along, "go along to get along," that's not there. So, for me, it was so important that I can show up, and be myself, and in the interviews I was all Lybra, and if you can take all Lybra, then, you know, I'm in there, but I think a lot of woman and just people in general want to see themselves at work, and feel like they don't have to try to be someone else. >> And see their aspirational selves, as you said. >> Their aspirations, their goals, people that look like them, but an opportunity to influence, and be creative, and be entrepreneurial, and that is what I needed and wanted, and I think a lot of people are looking for that these days. >> So, earlier in your career you worked in Nicaragua, with the One Laptop per Child Organization. Tell us a little bit about that, and then also connect it to what you're doing today. >> It's so interesting, it is like, first of all I left American Express, moved to Nicaragua and ran a laptop program. I have no tech background. I had never been to Nicaragua, but it was such an amazing opportunity, and it was an opportunity for me to not only to introduce the concept of using laptops to various schools and teachers, but to also get kids to really understand how to use technology to solve problems. This was in 2009, right? But was also just full circle, and it's funny because I talked about this in my interview, was living in Nicaragua, I had a cellphone at the time, but I would have to walk blocks and blocks and blocks in the heat, to the ATM, which may or may not work, to get cash, to go walk a few more blocks to pay for my cellphone to add minutes. And I just thought in my mind, how much easier it would be, like literally just so, >> Rebecca: (laughing) Yes. >> How much easier would it be if I didn't have to do that. So, one of the things I learned was understanding how important tech is, introducing it at young ages, ensuring that people understand, not just the children understand the use of technology, but also we were training teachers who didn't understand technology. That's a huge gap a lot of people miss. But also, the function of how to operate when the infrastructures aren't there. Fast forward to 2017, interviewing at a company like PayPal that actually opens up opportunities for people who wouldn't have that. >> And here in the US we can be very Western centric. >> That's right. >> But to think about how tech is this great equalizer for developing countries, helping, making person to person payments easier, more seamless. >> Financial inclusion, that's what this company is about. So not only did I go to the website to look at who was on the board, who were the leaders, you know, Dan Schulman, following him, but also really being behind the vision and the mission of a company, and there's not a person at PayPal that does not agree with what we're doing. And it's so fantastic, and it's everything I thought about during my time at American Express, also at One Laptop per Child, but it all just is full circle, and it's just everything that I've always wanted. So you feel like you're in the right place, you know? >> So, you're one month in. >> Lybra: One month in. >> I want to know what you want the future to hold for PayPal, so when we're sitting down next year Lybra, at the next Grace Hopper conference. >> Lybra: Yes. >> What do you want to look back as the accomplishments of PayPal, both in terms of recruiting more women, retaining more women, and also the programs keep them happy in their roles. >> Yes, yeah. I mean, you know what, in one year, I would love to see more people of color here. I mean, I definitely think that, even as just looking around the room, I definitely see diversity within Grace Hopper, but I definitely see that we're missing the Black and Latino population. And that part is very critical, as we look at the numbers and we look at diversity within the women's movement. So that part, I would love for PayPal to be able to contribute to that. But how do we bring more women of color into these conversations and having a seat at the table so I would love for that. Grace Hopper, more men, we have men here. Our Chief Technology Officer is here. >> Rebecca: (laughing) It's a secret. >> We've got probably two to three men that are with us, and I definitely want to bring more. I think the only way to have a conversation is to bring everyone to be part of it. And so, I know we can do that next year, and I just have a feeling that the way that global diversity is looking at DNI as it relates to women. We can look at women, but we're looking at everyone. And we want to create those opportunities. And there's a lot of focus on recruiting, but for us we really want to talk about retention and culture. Because we can bring them in the door, we need you to stay. We need you to stay, we need you to build, we need you to be entrepreneurs, and we need you to ascend through the ranks. So anything that our team can do to ensure that, that's where the dirty work is. This is all fun and exciting, but it's like getting back to PayPal offices, ensuring that not only do we have the women at PayPal, but they see themselves in leadership opportunities, and they have those opportunities. So that's exciting for us too. >> You talked about the numbers, and the numbers are bleak right now. >> Yes. >> So, it's 25%, women represent 25% of workers in the tech industry, 15% of leaders, and the numbers are even more abysmal for Black and Latino women. >> Lybra: Yes absolutely. >> So if you could talk to the young Lybra out there >> Lybra: Oh my God. >> The person who aspires to have a rewarding and rich career in technology. What would you say to her? >> Here is what I love though. I have to say this. This is my first tech job to be honest. What I'm hearing about are all these organizations, and even Melinda Gates talked about this. There are so many organizations that are going into the schools to ensure that a lot of these young women from all walks of life have access to technology. Computer Science. To really understand the value of using technlogy to solve problems. So, what I would love to do is continue those partnerships, and be very, very targeted and specific about it. Because, there's a lot of that's happening, but we need to pull through all the way. Like, do they stop at the fifth grade, what happens in Middle School, what happens in High School? Do they go to certain schools that don't have these programs. So there has to be kind of of a pull through affect. I think if you're interested, there are opportunities. But you have to stay involved, and I think that's the hard part because there's that drop off that I was just talking about. I think there's a lot of commitment in the schools, but then you may drop off after that, so what do we do to kind of bridge that gap. I would love for companies to think more of this middle to high school bridge program. Where, not only do you learn at the young age, but also you're starting to invent and be more thoughtful and be entrepreneurs, because that's what we need more of. Hopefully, we'll be able to tackle that at some point, we'll see, but the sky's the limit I think. >> Do you have any also advice for, I know you're an expert in public-private partnerships. >> Lybra: Yes yes. >> Do you have any advice for companies as well as organizations that want to team up and work on this problem. >> Yeah, you know what though, I think there's a lot of these organizations as I said earlier, but I think that if companies take one particular school, or one particular idea and just go full throttle, I think that helps. >> Rebecca: And use it as a test case or? >> It's a pilot, and see what else happens. But I think when there's a more specific and targeted goal with one particular entity it helps to build a momentum. You're constantly involved and engaged, and you don't lose anything as a result of kind of hopping around. Public-private partnerships are so hard, you know there's political, there's the politics behind it, there are people that leave, so you don't get the continuity as much, but you try. >> So, I think that's exciting to note, the experiment, you see what works, and then you are able to take those best practices and scale them up. >> Absolutely absolutely. >> Great. Well, Lybra Clemons, thanks so much it's been really fun talking to you. >> Thank you I had a wonderful time. >> Good luck and thank you. >> Thanks. >> I'm Rebecca Knight, we'll have more from the Grace Hopper conference here in Orlando, Florida, just after this. (upbeat music)

>>Hey everyone, welcome to the Cube's coverage of AWS Reinvent 2022. Lisa Martin here with you with Subaru ier, one of our alumni who's now the CEO of Aerospike. Sabu. Great to have you on the program. Thank you for joining us. >>Great as always, to be on the cube. Luisa, good to meet you. >>So, you know, every company these days has got to be a data company, whether it's a retailer, a manufacturer, a grocer, a automotive company. But for a lot of companies, data is underutilized, yet a huge asset that is value added. Why do you think companies are struggling so much to make data a value added asset? >>Well, you know, we, we see this across the board when I talk to customers and prospects. There's a desire from the business and from it actually to leverage data to really fuel newer applications, newer services, newer business lines, if you will, for companies. I think the struggle is one, I think one the, you know, the plethora of data that is created, you know, surveys say that over the next three years data is gonna be, you know, by 2025, around 175 zetabytes, right? A hundred and zetabytes of data is gonna be created. And that's really a, a, a growth of north of 30% year over year. But the more important, and the interesting thing is the real time component of that data is actually growing at, you know, 35% cagr. And what enterprises desire is decisions that are made in real time or near real time. >>And a lot of the challenges that do exist today is that either the infrastructure that enterprises have in place was never built to actually manipulate data in real time. The second is really the ability to actually put something in place which can handle spikes yet be cost efficient if you'll, so you can build for really peak loads, but then it's very expensive to operate that particular service at normal loads. So how do you build something which actually works for you, for both you, both users, so to speak? And the last point that we see out there is even if you're able to, you know, bring all that data, you don't have the processing capability to run through that data. So as a result, most enterprises struggle with one, capturing the data, you know, making decisions from it in real time and really operating it at the cost point that they need to operate it at. >>You know, you bring up a great point with respect to real time data access. And I think one of the things that we've learned the last couple of years is that access to real time data, it's not a nice to have anymore. It's business critical for organizations in any industry. Talk about that as one of the challenges that organizations are facing. >>Yeah. When, when, when we started Aerospike, right when the company started, it started with the premise that data is gonna grow, number one, exponentially. Two, when applications open up to the internet, there's gonna be a flood of users and demands on those applications. And that was true primarily when we started the company in the ad tech vertical. So ad tech was the first vertical where there was a lot of data both on the supply side and the demand side from an inventory of ads that were available. And on the other hand, they had like microseconds or milliseconds in which they could make a decision on which ad to put in front of you and I so that we would click or engage with that particular ad. But over the last three to five years, what we've seen is as digitization has actually permeated every industry out there, the need to harness data in real time is pretty much present in every industry. >>Whether that's retail, whether that's financial services, telecommunications, e-commerce, gaming and entertainment. Every industry has a desire. One, the innovative companies, the small companies rather, are innovating at a pace and standing up new businesses to compete with the larger companies in each of these verticals. And the larger companies don't wanna be left behind. So they're standing up their own competing services or getting into new lines of business that really harness and are driven by real time data. So this compelling pressures, one, the customer exp you know, customer experience is paramount and we as customers expect answers in, you know, an instant in real time. And on the other hand, the way they make decisions is based on a large data set because you know, larger data sets actually propel better decisions. So there's competing pressures here, which essentially drive the need. One from a business perspective, two from a customer perspective to harness all of this data in real time. So that's what's driving an inces need to actually make decisions in real or near real time. >>You know, I think one of the things that's been in short supply over the last couple of years is patients we do expect as consumers, whether we're in our business lives, our personal lives that we're going to be getting, be given information and data that's relevant, it's personal to help us make those real time decisions. So having access to real time data is really business critical for organizations across any industries. Talk about some of the main capabilities that modern data applications and data platforms need to have. What are some of the key capabilities of a modern data platform that need to be delivered to meet demanding customer expectations? >>So, you know, going back to your initial question Lisa, around why is data really a high value but underutilized or underleveraged asset? One of the reasons we see is a lot of the data platforms that, you know, some of these applications were built on have been then around for a decade plus and they were never built for the needs of today, which is really driving a lot of data and driving insight in real time from a lot of data. So there are four major capabilities that we see that are essential ingredients of any modern data platform. One is really the ability to, you know, operate at unlimited scale. So what we mean by that is really the ability to scale from gigabytes to even petabytes without any degradation in performance or latency or throughput. The second is really, you know, predictable performance. So can you actually deliver predictable performance as your data size grows or your throughput grows or your concurrent user on that application of service grows? >>It's really easy to build an application that operates at low scale or low throughput or low concurrency, but performance usually starts degrading as you start scaling one of these attributes. The third thing is the ability to operate and always on globally resilient application. And that requires a, a really robust data platform that can be up on a five, nine basis globally, can support global distribution because a lot of these applications have global users. And the last point is, goes back to my first answer, which is, can you operate all of this at a cost point? Which is not prohibitive, but it makes sense from a TCO perspective. Cuz a lot of times what we see is people make choices of data platforms and as ironically their service or applications become more successful and more users join their journey, the revenue starts going up, the user base starts going up, but the cost basis starts crossing over the revenue and they're losing money on the service, ironically, as the service becomes more popular. So really unlimited scale, predictable performance always on, on a globally resilient basis and low tco. These are the four essential capabilities of any modern data platform. >>So then talk to me with those as the four main core functionalities of a modern data platform. How does aerospace deliver that? >>So we were built, as I said, from the from day one to operate at unlimited scale and deliver predictable performance. And then over the years as we work with customers, we build this incredible high availability capability which helps us deliver the always on, you know, operations. So we have customers who are, who have been on the platform 10 years with no downtime for example, right? So we are talking about an amazing continuum of high availability that we provide for customers who operate these, you know, globally resilient services. The key to our innovation here is what we call the hybrid memory architecture. So, you know, going a little bit technically deep here, essentially what we built out in our architecture is the ability on each node or each server to treat a bank of SSDs or solid state devices as essentially extended memory. So you're getting memory performance, but you're accessing these SSDs, you're not paying memory prices, but you're getting memory performance as a result of that. >>You can attach a lot more data to each node or each server in your distributed cluster. And when you kind of scale that across basically a distributed cluster you can do with aerospike, the same things at 60 to 80% lower server count and as a result 60 to 80% lower TCO compared to some of the other options that are available in the market. Then basically, as I said, that's the key kind of starting point to the innovation. We layer around capabilities like, you know, replication change, data notification, you know, synchronous and asynchronous replication. The ability to actually stretch a single cluster across multiple regions. So for example, if you're operating a global service, you can have a single aerospace cluster with one node in San Francisco, one northern New York, another one in London. And this would be basically seamlessly operating. So that, you know, this is strongly consistent. >>Very few no SQL data platforms are strongly consistent or if they are strongly consistent, they will actually suffer performance degradation. And what strongly consistent means is, you know, all your data is always available, it's guaranteed to be available, there is no data lost anytime. So in this configuration that I talked about, if the node in London goes down, your application still continues to operate, right? Your users see no kind of downtime and you know, when London comes up, it rejoins the cluster and everything is back to kind of the way it was before, you know, London left the cluster so to speak. So the op, the ability to do this globally resilient, highly available kind of model is really, really powerful. A lot of our customers actually use that kind of a scenario and we offer other deployment scenarios from a higher availability perspective. So everything starts with HMA or hybrid memory architecture and then we start building out a lot of these other capabilities around the platform. >>And then over the years, what our customers have guided us to do is as they're putting together a modern kind of data infrastructure, we don't live in a silo. So aerospace gets deployed with other technologies like streaming technologies or analytics technologies. So we built connectors into Kafka, pulsar, so that as you're ingesting data from a variety of data sources, you can ingest them at very high ingest speeds and store them persistently into Aerospike. Once the data is in Aerospike, you can actually run spark jobs across that data in a, in a multithreaded parallel fashion to get really insight from that data at really high, high throughput and high speed, >>High throughput, high speed, incredibly important, especially as today's landscape is increasingly distributed. Data centers, multiple public clouds, edge IOT devices, the workforce embracing more and more hybrid these days. How are you ex helping customers to extract more value from data while also lowering costs? Go into some customer examples cause I know you have some great ones. >>Yeah, you know, I think we have, we have built an amazing set of customers and customers actually use us for some really mission critical applications. So, you know, before I get into specific customer examples, let me talk to you about some of kind of the use cases which we see out there. We see a lot of aerospace being used in fraud detection. We see us being used in recommendations and since we use get used in customer data profiles or customer profiles, customer 360 stores, you know, multiplayer gaming and entertainment, these are kind of the repeated use case digital payments. We power most of the digital payment systems across the globe. Specific example from a, from a specific example perspective, the first one I would love to talk about is PayPal. So if you use PayPal today, then you know when you actually paying somebody your transaction is, you know, being sent through aero spike to really decide whether this is a fraudulent transaction or not. >>And when you do that, you know, you and I as a customer not gonna wait around for 10 seconds for PayPal to say yay or me, we expect, you know, the decision to be made in an instant. So we are powering that fraud detection engine at PayPal for every transaction that goes through PayPal before us, you know, PayPal was missing out on about 2% of their SLAs, which was essentially millions of dollars, which they were losing because, you know, they were letting transactions go through and taking the risk that it, it's not a fraudulent transaction with the aerospace. They can now actually get a much better sla and the data set on which they compute the fraud score has gone up by, you know, several factors. So by 30 x if you will. So not only has the data size that is powering the fraud engine actually grown up 30 x with Aerospike. Yeah. But they're actually making decisions in an instant for, you know, 99.95% of their transactions. So that's, >>And that's what we expect as consumers, right? We want to know that there's fraud detection on the swipe regardless of who we're interacting with. >>Yes. And so that's a, that's a really powerful use case and you know, it's, it's a great customer, great customer success story. The other one I would talk about is really Wayfair, right? From retail and you know, from e-commerce. So everybody knows Wayfair global leader in really, you know, online home furnishings and they use us to power their recommendations engine and you know, it's basically if you're purchasing this, people who bought this but also bought these five other things, so on and so forth, they have actually seen the card size at checkout go by up to 30% as a result of actually powering their recommendations in G by through Aerospike. And they, they were able to do this by reducing the server count by nine x. So on one ninth of the servers that were there before aerospace, they're now powering their recommendation engine and seeing card size checkout go up by 30%. Really, really powerful in terms of the business outcome and what we are able to, you know, drive at Wayfair >>Hugely powerful as a business outcome. And that's also what the consumer wants. The consumer is expecting these days to have a very personalized, relevant experience that's gonna show me if I bought this, show me something else that's related to that. We have this expectation that needs to be really fueled by technology. >>Exactly. And you know, another great example you asked about, you know, customer stories, Adobe, who doesn't know Adobe, you know, they, they're on a, they're on a mission to deliver the best customer experience that they can and they're talking about, you know, great customer 360 experience at scale and they're modernizing their entire edge compute infrastructure to support this. With Aerospike going to Aerospike, basically what they have seen is their throughput go up by 70%, their cost has been reduced by three x. So essentially doing it at one third of the cost while their annual data growth continues at, you know, about north of 30%. So not only is their data growing, they're able to actually reduce their cost to actually deliver this great customer experience by one third to one third and continue to deliver great customer 360 experience at scale. Really, really powerful example of how you deliver Customer 360 in a world which is dynamic and you know, on a dataset which is constantly growing at north, north of 30% in this case. >>Those are three great examples, PayPal, Wayfair, Adobe talking about, especially with Wayfair when you talk about increasing their cart checkout sizes, but also with Adobe increasing throughput by over 70%. I'm looking at my notes here. While data is growing at 32%, that's something that every organization has to contend with data growth is continuing to scale and scale and scale. >>Yep. I, I'll give you a fun one here. So, you know, you may not have heard about this company, it's called Dream 11 and it's a company based out of India, but it's a very, you know, it's a fun story because it's the world's largest fantasy sports platform and you know, India is a nation which is cricket crazy. So you know, when, when they have their premier league going on, you know, there's millions of users logged onto the dream alone platform building their fantasy lead teams and you know, playing on that particular platform, it has a hundred million users, a hundred million plus users on the platform, 5.5 million concurrent users and they have been growing at 30%. So they are considered a, an amazing success story in, in terms of what they have accomplished and the way they have architected their platform to operate at scale. And all of that is really powered by aerospace where think about that they are able to deliver all of this and support a hundred million users, 5.5 million concurrent users all with you know, 99 plus percent of their transactions completing in less than one millisecond. Just incredible success story. Not a brand that is you know, world renowned but at least you know from a what we see out there, it's an amazing success story of operating at scale. >>Amazing success story, huge business outcomes. Last question for you as we're almost out of time is talk a little bit about Aerospike aws, the partnership GRAVITON two better together. What are you guys doing together there? >>Great partnership. AWS has multiple layers in terms of partnerships. So you know, we engage with AWS at the executive level. They plan out, really roll out of new instances in partnership with us, making sure that, you know, those instance types work well for us. And then we just released support for Aerospike on the graviton platform and we just announced a benchmark of Aerospike running on graviton on aws. And what we see out there is with the benchmark, a 1.6 x improvement in price performance and you know, about 18% increase in throughput while maintaining a 27% reduction in cost, you know, on graviton. So this is an amazing story from a price performance perspective, performance per wat for greater energy efficiencies, which basically a lot of our customers are starting to kind of talk to us about leveraging this to further meet their sustainability target. So great story from Aero Aerospike and aws, not just from a partnership perspective on a technology and an executive level, but also in terms of what joint outcomes we are able to deliver for our customers. >>And it sounds like a great sustainability story. I wish we had more time so we would talk about this, but thank you so much for talking about the main capabilities of a modern data platform, what's needed, why, and how you guys are delivering that. We appreciate your insights and appreciate your time. >>Thank you very much. I mean, if, if folks are at reinvent next week or this week, come on and see us at our booth. We are in the data analytics pavilion. You can find us pretty easily. Would love to talk to you. >>Perfect. We'll send them there. So Ira, thank you so much for joining me on the program today. We appreciate your insights. >>Thank you Lisa. >>I'm Lisa Martin. You're watching The Cubes coverage of AWS Reinvent 2022. Thanks for watching.

(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)

>> And it'll be the fastest 15 minutes of your day from there. >> In three- >> We go Lisa. >> Wait. >> Yes >> Wait, wait, wait. I'm sorry I didn't pin the right speed. >> Yap, no, no rush. >> There we go. >> The beauty of not being live. >> I think, in the background. >> Fantastic, you all ready to go there, Lisa? >> Yeah. >> We are speeding around the horn and we are coming to you in five, four, three, two. >> Hey everyone, welcome to theCUBE's coverage of AWS re:Invent 2022. Lisa Martin here with you with Subbu Iyer one of our alumni who's now the CEO of Aerospike. Subbu, great to have you on the program. Thank you for joining us. >> Great as always to be on theCUBE Lisa, good to meet you. >> So, you know, every company these days has got to be a data company, whether it's a retailer, a manufacturer, a grocer, a automotive company. But for a lot of companies, data is underutilized yet a huge asset that is value added. Why do you think companies are struggling so much to make data a value added asset? >> Well, you know, we see this across the board. When I talk to customers and prospects there is a desire from the business and from IT actually to leverage data to really fuel newer applications, newer services newer business lines if you will, for companies. I think the struggle is one, I think one the, the plethora of data that is created. Surveys say that over the next three years data is going to be you know by 2025 around 175 zettabytes, right? A hundred and zettabytes of data is going to be created. And that's really a growth of north of 30% year over year. But the more important and the interesting thing is the real time component of that data is actually growing at, you know 35% CAGR. And what enterprises desire is decisions that are made in real time or near real time. And a lot of the challenges that do exist today is that either the infrastructure that enterprises have in place was never built to actually manipulate data in real time. The second is really the ability to actually put something in place which can handle spikes yet be cost efficient to fuel. So you can build for really peak loads, but then it's very expensive to operate that particular service at normal loads. So how do you build something which actually works for you for both users, so to speak. And the last point that we see out there is even if you're able to, you know bring all that data you don't have the processing capability to run through that data. So as a result, most enterprises struggle with one capturing the data, making decisions from it in real time and really operating it at the cost point that they need to operate it at. >> You know, you bring up a great point with respect to real time data access. And I think one of the things that we've learned the last couple of years is that access to real time data it's not a nice to have anymore. It's business critical for organizations in any industry. Talk about that as one of the challenges that organizations are facing. >> Yeah, when we started Aerospike, right? When the company started, it started with the premise that data is going to grow, number one exponentially. Two, when applications open up to the internet there's going to be a flood of users and demands on those applications. And that was true primarily when we started the company in the ad tech vertical. So ad tech was the first vertical where there was a lot of data both on the supply set and the demand side from an inventory of ads that were available. And on the other hand, they had like microseconds or milliseconds in which they could make a decision on which ad to put in front of you and I so that we would click or engage with that particular ad. But over the last three to five years what we've seen is as digitization has actually permeated every industry out there the need to harness data in real time is pretty much present in every industry. Whether that's retail, whether that's financial services telecommunications, e-commerce, gaming and entertainment. Every industry has a desire. One, the innovative companies, the small companies rather are innovating at a pace and standing up new businesses to compete with the larger companies in each of these verticals. And the larger companies don't want to be left behind. So they're standing up their own competing services or getting into new lines of business that really harness and are driven by real time data. So this compelling pressures, one, you know customer experience is paramount and we as customers expect answers in you know an instant, in real time. And on the other hand, the way they make decisions is based on a large data set because you know larger data sets actually propel better decisions. So there's competing pressures here which essentially drive the need one from a business perspective, two from a customer perspective to harness all of this data in real time. So that's what's driving an incessant need to actually make decisions in real or near real time. >> You know, I think one of the things that's been in short supply over the last couple of years is patience. We do expect as consumers whether we're in our business lives our personal lives that we're going to be getting be given information and data that's relevant it's personal to help us make those real time decisions. So having access to real time data is really business critical for organizations across any industries. Talk about some of the main capabilities that modern data applications and data platforms need to have. What are some of the key capabilities of a modern data platform that need to be delivered to meet demanding customer expectations? >> So, you know, going back to your initial question Lisa around why is data really a high value but underutilized or under-leveraged asset? One of the reasons we see is a lot of the data platforms that, you know, some of these applications were built on have been then around for a decade plus. And they were never built for the needs of today, which is really driving a lot of data and driving insight in real time from a lot of data. So there are four major capabilities that we see that are essential ingredients of any modern data platform. One is really the ability to, you know, operate at unlimited scale. So what we mean by that is really the ability to scale from gigabytes to even petabytes without any degradation in performance or latency or throughput. The second is really, you know, predictable performance. So can you actually deliver predictable performance as your data size grows or your throughput grows or your concurrent user on that application of service grows? It's really easy to build an application that operates at low scale or low throughput or low concurrency but performance usually starts degrading as you start scaling one of these attributes. The third thing is the ability to operate and always on globally resilient application. And that requires a really robust data platform that can be up on a five nine basis globally, can support global distribution because a lot of these applications have global users. And the last point is, goes back to my first answer which is, can you operate all of this at a cost point which is not prohibitive but it makes sense from a TCO perspective. 'Cause a lot of times what we see is people make choices of data platforms and as ironically their service or applications become more successful and more users join their journey the revenue starts going up, the user base starts going up but the cost basis starts crossing over the revenue and they're losing money on the service, ironically as the service becomes more popular. So really unlimited scale predictable performance always on a globally resilient basis and low TCO. These are the four essential capabilities of any modern data platform. >> So then talk to me with those as the four main core functionalities of a modern data platform, how does Aerospike deliver that? >> So we were built, as I said from day one to operate at unlimited scale and deliver predictable performance. And then over the years as we work with customers we build this incredible high availability capability which helps us deliver the always on, you know, operations. So we have customers who are who have been on the platform 10 years with no downtime for example, right? So we are talking about an amazing continuum of high availability that we provide for customers who operate these, you know globally resilient services. The key to our innovation here is what we call the hybrid memory architecture. So, you know, going a little bit technically deep here essentially what we built out in our architecture is the ability on each node or each server to treat a bank of SSDs or solid-state devices as essentially extended memory. So you're getting memory performance but you're accessing these SSDs. You're not paying memory prices but you're getting memory performance. As a result of that you can attach a lot more data to each node or each server in a distributed cluster. And when you kind of scale that across basically a distributed cluster you can do with Aerospike the same things at 60 to 80% lower server count. And as a result 60 to 80% lower TCO compared to some of the other options that are available in the market. Then basically, as I said that's the key kind of starting point to the innovation. We lay around capabilities like, you know replication, change data notification, you know synchronous and asynchronous replication. The ability to actually stretch a single cluster across multiple regions. So for example, if you're operating a global service you can have a single Aerospike cluster with one node in San Francisco one node in New York, another one in London and this would be basically seamlessly operating. So that, you know, this is strongly consistent, very few no SQL data platforms are strongly consistent or if they are strongly consistent they will actually suffer performance degradation. And what strongly consistent means is, you know all your data is always available it's guaranteed to be available there is no data lost any time. So in this configuration that I talked about if the node in London goes down your application still continues to operate, right? Your users see no kind of downtime and you know, when London comes up it rejoins the cluster and everything is back to kind of the way it was before, you know London left the cluster so to speak. So the ability to do this globally resilient highly available kind of model is really, really powerful. A lot of our customers actually use that kind of a scenario and we offer other deployment scenarios from a higher availability perspective. So everything starts with HMA or Hybrid Memory Architecture and then we start building a lot of these other capabilities around the platform. And then over the years what our customers have guided us to do is as they're putting together a modern kind of data infrastructure, we don't live in the silo. So Aerospike gets deployed with other technologies like streaming technologies or analytics technologies. So we built connectors into Kafka, Pulsar, so that as you're ingesting data from a variety of data sources you can ingest them at very high ingest speeds and store them persistently into Aerospike. Once the data is in Aerospike you can actually run Spark jobs across that data in a multi-threaded parallel fashion to get really insight from that data at really high throughput and high speed. >> High throughput, high speed, incredibly important especially as today's landscape is increasingly distributed. Data centers, multiple public clouds, Edge, IoT devices, the workforce embracing more and more hybrid these days. How are you helping customers to extract more value from data while also lowering costs? Go into some customer examples 'cause I know you have some great ones. >> Yeah, you know, I think, we have built an amazing set of customers and customers actually use us for some really mission critical applications. So, you know, before I get into specific customer examples let me talk to you about some of kind of the use cases which we see out there. We see a lot of Aerospike being used in fraud detection. We see us being used in recommendations engines we get used in customer data profiles, or customer profiles, Customer 360 stores, you know multiplayer gaming and entertainment. These are kind of the repeated use case, digital payments. We power most of the digital payment systems across the globe. Specific example from a specific example perspective the first one I would love to talk about is PayPal. So if you use PayPal today, then you know when you're actually paying somebody your transaction is, you know being sent through Aerospike to really decide whether this is a fraudulent transaction or not. And when you do that, you know, you and I as a customer are not going to wait around for 10 seconds for PayPal to say yay or nay. We expect, you know, the decision to be made in an instant. So we are powering that fraud detection engine at PayPal. For every transaction that goes through PayPal. Before us, you know, PayPal was missing out on about 2% of their SLAs which was essentially millions of dollars which they were losing because, you know, they were letting transactions go through and taking the risk that it's not a fraudulent transaction. With Aerospike they can now actually get a much better SLA and the data set on which they compute the fraud score has gone up by you know, several factors. So by 30X if you will. So not only has the data size that is powering the fraud engine actually gone up 30X with Aerospike but they're actually making decisions in an instant for, you know, 99.95% of their transactions. So that's- >> And that's what we expect as consumers, right? We want to know that there's fraud detection on the swipe regardless of who we're interacting with. >> Yes, and so that's a really powerful use case and you know, it's a great customer success story. The other one I would talk about is really Wayfair, right, from retail and you know from e-commerce. So everybody knows Wayfair global leader in really in online home furnishings and they use us to power their recommendations engine. And you know it's basically if you're purchasing this, people who bought this also bought these five other things, so on and so forth. They have actually seen their cart size at checkout go up by up to 30%, as a result of actually powering their recommendations engine through Aerospike. And they were able to do this by reducing the server count by 9X. So on one ninth of the servers that were there before Aerospike, they're now powering their recommendations engine and seeing cart size checkout go up by 30%. Really, really powerful in terms of the business outcome and what we are able to, you know, drive at Wayfair. >> Hugely powerful as a business outcome. And that's also what the consumer wants. The consumer is expecting these days to have a very personalized relevant experience that's going to show me if I bought this show me something else that's related to that. We have this expectation that needs to be really fueled by technology. >> Exactly, and you know, another great example you asked about you know, customer stories, Adobe. Who doesn't know Adobe, you know. They're on a mission to deliver the best customer experience that they can. And they're talking about, you know great Customer 360 experience at scale and they're modernizing their entire edge compute infrastructure to support this with Aerospike. Going to Aerospike basically what they have seen is their throughput go up by 70%, their cost has been reduced by 3X. So essentially doing it at one third of the cost while their annual data growth continues at, you know about north of 30%. So not only is their data growing they're able to actually reduce their cost to actually deliver this great customer experience by one third to one third and continue to deliver great Customer 360 experience at scale. Really, really powerful example of how you deliver Customer 360 in a world which is dynamic and you know on a data set which is constantly growing at north of 30% in this case. >> Those are three great examples, PayPal, Wayfair, Adobe, talking about, especially with Wayfair when you talk about increasing their cart checkout sizes but also with Adobe increasing throughput by over 70%. I'm looking at my notes here. While data is growing at 32%, that's something that every organization has to contend with data growth is continuing to scale and scale and scale. >> Yap, I'll give you a fun one here. So, you know, you may not have heard about this company it's called Dream11 and it's a company based out of India but it's a very, you know, it's a fun story because it's the world's largest fantasy sports platform. And you know, India is a nation which is cricket crazy. So you know, when they have their premier league going on and there's millions of users logged onto the Dream11 platform building their fantasy league teams and you know, playing on that particular platform, it has a hundred million users a hundred million plus users on the platform, 5.5 million concurrent users and they have been growing at 30%. So they are considered an amazing success story in terms of what they have accomplished and the way they have architected their platform to operate at scale. And all of that is really powered by Aerospike. Think about that they're able to deliver all of this and support a hundred million users 5.5 million concurrent users all with, you know 99 plus percent of their transactions completing in less than one millisecond. Just incredible success story. Not a brand that is, you know, world renowned but at least you know from what we see out there it's an amazing success story of operating at scale. >> Amazing success story, huge business outcomes. Last question for you as we're almost out of time is talk a little bit about Aerospike AWS the partnership Graviton2 better together. What are you guys doing together there? >> Great partnership. AWS has multiple layers in terms of partnerships. So, you know, we engage with AWS at the executive level. They plan out, really roll out of new instances in partnership with us, making sure that, you know those instance types work well for us. And then we just released support for Aerospike on the Graviton platform and we just announced a benchmark of Aerospike running on Graviton on AWS. And what we see out there is with the benchmark a 1.6X improvement in price performance. And you know about 18% increase in throughput while maintaining a 27% reduction in cost, you know, on Graviton. So this is an amazing story from a price performance perspective, performance per watt for greater energy efficiencies, which basically a lot of our customers are starting to kind of talk to us about leveraging this to further meet their sustainability target. So great story from Aerospike and AWS not just from a partnership perspective on a technology and an executive level, but also in terms of what joint outcomes we are able to deliver for our customers. >> And it sounds like a great sustainability story. I wish we had more time so we would talk about this but thank you so much for talking about the main capabilities of a modern data platform, what's needed, why, and how you guys are delivering that. We appreciate your insights and appreciate your time. >> Thank you very much. I mean, if folks are at re:Invent next week or this week come on and see us at our booth and we are in the data analytics pavilion and you can find us pretty easily. Would love to talk to you. >> Perfect, we'll send them there. Subbu Iyer, thank you so much for joining me on the program today. We appreciate your insights. >> Thank you Lisa. >> I'm Lisa Martin, you're watching theCUBE's coverage of AWS re:Invent 2022. Thanks for watching. >> Clear- >> Clear cutting. >> Nice job, very nice job.

(upbeat music) >> Welcome everyone to theCUBE's presentation of the AWS Startup Showcase. Topic is MarTech: Emerging Cloud-Scale Experience. This is season two, episode three of the ongoing series covering the exciting startups from the AWS ecosystem. Talk about their value proposition and their company and all the good stuff that's going on. I'm your host, John Furrier. And today we're excited to be joined by Manyam Mallela who's the co-founder and head of AI at Blueshift. Great to have you on here to talk about the Blueshift-Intelligent Customer Engagement, Made Simple. Thanks for joining us today. >> Thank you, John. Thank you for having me. >> So last time we did our intro video. We put it out in the web. Got great feedback. One of the things that we talked about, which is resonating out there in the viral Twitter sphere and in the thought leadership circles is this concept that you mentioned called 10X marketer. That idea that you have a solution that can provide 10X value. Kind of a riff on the 10X engineer in the DevOps cloud world. What does it mean? And how does someone get there? >> Yeah, fantastic. I think that's a great way to start our discussion. I think a lot of organizations, especially as of this current economic environment are looking to say, I have limited resources, limited budgets, how do I actually achieve digital and customer engagement that helps move the needle for my key metrics, whether it's average revenue per user, lifetime value of the user and frequent interactions. Above all, the more frequently a brand is able to interact with their customers, the better they understand them, the better they can actually engage them. And that usually leads to long term good outcomes for both customer and the brand and the organizations. So the way I see 10X marketer is that you need to have tools that give you that speed and agility without hindering your ability to activate any of the campaigns or experience that you want to create. And I see the roadblocks usually for many organizations, is that kind of threefold. One is your data silos. Usually data that is on your sites, does not talk to your app data, does not talk to your social data, does not talk to your CRM data and so forth. So how do I break those silos? The second is channel silos. I actually have customers who are only engaging on email or some are on email and mobile apps. Some are on email and mobile apps and maybe the OTT TV in a Roku or one of the connected TV experiences, or maybe in the future, another Web3 environments. How do I actually break those channel silos so that I get a comprehensive view of the customer and my marketing team can engage with all of them in respect to the channel? So break the channel silos. And the last part, what I call like some of the little talked about is I call the inside silo, which is that, not only do you need to have the data, but you also have to have a common language to share and talk about within your organizations. What are we learning from our customers? What do we translate our learning and insight on this common data platform or fabric into an action? And that requires the shared language of how do I actually know my customers and what do I do with them? Like either the inside silo as well. I think a lot of times organizations do get into this habit like each one speaks their own language, but they don't actually are talking the common language of what did we actually know about the real customer there. >> Yeah, and I think that's a great conversation because there's two, when you hear 10X marketer or 10X conversations, it implies a couple things. One is you're breaking an old way and bringing in something new. And the new is a force multiplier, in this case, 10X marketer. But this is the cloud scale so marketing executives, chiefs, staffs, chiefs of staffs of CMOs and their staffs. They want to get that scale. So marketing at scale is now the table stakes. Now budget constraints are there as well. So you're starting to see, okay, I need to do more with less. Now the big question comes up is ROI. So I want to have AI. I want to have all these force multipliers. What do I got to do with the old? How do I handle that? How do I bring the new in and operationalize it? And if that's the case, I'm making a change. So I have to ask you, what's your view on the ROI of AI marketing, because this is a key component 'cause you've got scale factor here. You've got to force multiplier opportunity. How do you get that ROI on the table? >> I think that as you rightly said, it's table stakes. And I think the ROI of AI marketing starts with one very key simple premise that today some of the tools allow you to do things one at a time. So I can actually say, "can I run this campaign today?" And you can scramble your team, hustle your way, get everybody involved and run that campaign. And then tomorrow I'd say like, Hey, I looked at the results. Can I do this again? And they're like, oh, we just asked for all of us to get that done. How do I do it tomorrow? How do I do it next week? How do I do it for every single week for the rest of the year? That's where I think the AI marketing is essentially taking your insight, taking your creativity, and creating a platform and a tool that allows you to run this every single day. And that's agility at scale. That is not only a scale of the customer base, but scale across time. And that AI-based automation is the key ROI piece for a lot of AI marketing practitioners. So Forrester, for example, did a comprehensive total economic impact study with our customers. And what they found out was actually the 781% ROI that they reported in that particular report is based on three key factors. One is being able to do experiences that are intelligent at scale, day in and day out. So do your targeting, do your recommendations. Not just one day, but do it every single day. And don't hold back yourself on being able to do that. >> I think they got to get the return. They got to get the sales too. This is the numbers. >> That's right. They actually have real dollars, real numbers attached to it. They have a calculator. You can actually go in and plug your own numbers and get what you might expect from your existing customer base. The second is that once you have a unified platform like ours, the 10X marketer that we're talking about is actually able to do more. It's sometimes actually, it's kind of counterintuitive to think that a smaller team does more. But in reality, what we have seen, that is the case. When you actually have the right tools, the smaller teams actually achieve more. And that's the redundant operations, conflicting insights that go away into something more coherent and comprehensive. And that's the second insight that they found. And the third is just having reporting and all of the things in one place means that you can amplify it. You can amplify it across your paid media channels. You can amplify it across your promotions programs and other partnerships that you're running. >> That's the key thing about platforms that people don't understand is that you have a platform and it enables a lot of value. In this case, force multiplier value. It enables more value than you pay for it. But the key is it enables customers to do things without a line of code, meaning it's a platform. They're innovating on top of it. And that's, I think, where the ROI comes in and this leads me where the next question is. I wanted to ask you is, not to throw a wet blanket on the MarTech industry, but I got to think of when I hear marketing automation, I kind of think old. I think old, inadequate antiquated technologies. I think email blasting and just some boring stuff that just gets siloed or it's bespoke from something else. Are marketing automation tools created equal? Does something like, what you guys are doing with SmartHub? Change that, and can you just talk about that 'cause it's not going to go away. It's just another level that's going to be abstracted away under the coverage. >> Yeah, great question. Certainly, email marketing has been practiced for two or three decades now and in some form or another. I think we went from essentially what people call list-based marketing. I have a list, let me keep blasting the same message to everybody and then hopefully something will come out of it. A little bit more of saying, then they can, okay, maybe now I have CRM database and can I do database marketing, which they will call like, "Hey, Hi John. Hi Manyam", which is the first name. And that's all they think will get the customer excited about because you'll call them by name, which is certainly helpful, but not enough. I think now what we call like, the new age that we live in is that we call it graph-based marketing. And the way we materialize that is that every single user is interacting with a brand with their offerings. So that this interaction graph that's happening across millions of customers, across thousands of content articles, videos, shows, products, items, and that graph actually has much richer knowledge of what the customer wants than the first names or list-based ones. So I think the next evolution of marketing automation, even though the industry has been there a while, there is a step change in what can actually be done at scale. And which is taking that interaction graph and making that a part of the experience for the customer, and that's what we enable. That's why we do think of that as a big step change from how people are being practicing list-based marketing. And within that, certainly there is a relation of curve as to how people approach AI marketing and they are in a different spectrum. Some people are still at list-based marketing. Some people are database marketing. And hopefully will move them to this new interaction graph-based marketing. >> Yeah and I think the context is key. I like how you bring up the graph angle on this because the graph databases imply there's a lot of different optionality around what's happened contextually both over time and currently and it adds to it. Makes it smarter. It's not just siloed, just one dimensional. It feels like it's got a lot there. This is clearly I'm a big fan of and I think this is the way to go. As you get more personalization, you get more data. Graphic database makes a lot of sense. So I have to ask you, this is a really cutting edge value proposition, who are the primary buyers and users in an organization that you guys are working with? >> Yeah, great question. So we typically have CMO organizations approaching us with this problem and they usually talk to their CIO organizations, their counterparts, and the chief information officers have been investing in data fabrics, data lakes, data warehouses for the better part of last decade or two, and have some very cutting edge technology that goes into organizing all this data. But that doesn't still solve the problem of how do I take this data and make a meaningful, relevant, authentic experience for the customer. That's the CMO problem. And CMO are now challenge with creating product level experience with every interaction and that's where we coming. So the CMO are the buyers of our SmartHub CDP platform. And we're looking for consolidating hundreds of tools that they had in the past and making that one or two channel marketers. Actually, the 10X marketer that we talk about. And you need the right tool on top of your data lakes and data warehouses to be able to do that. So CMO are also the real drivers of using this technology. >> I think that also place the ROI equation around ROI and having that unified platform. Great call out there. I got to ask you the question here 'cause this comes up a lot and when I hear you talking, I think, okay, all the great stuff you guys have there. But if I'm a company, I want to make my core competencies mine. I don't really want to outsource or buy something that's going to be core to my business. But at the same time as market shifts, the business changes. And sometimes people don't even know what business they're in at the end of the day. And as it gets more complicated too, by the way. So the question comes up with companies and I can see this clearly, do I buy it? Do I build it? When it comes to AI because that's a core competency. Wait a minute, AI. I'm going to maybe buy some chatbot technology. That's not really AI, but it feels like AI, but I'm a company, I want to buy it or build it. That's a choice. What do you see there? 'Cause you guys have a very comprehensive platform. It's hard to replicate, imitates, inimitable. So what's your customers doing with respect buy and build? And where do they get the core competency? What do they get to have as a core competency? >> Fantastic. I think certainly, AI as it applies to at the organization level, I've seen this at my previous organization that I was part of, and there will be product and financial applications that are using AI for the service of that organization. So we do see, depending upon the size of the organization having in-house AI and data science teams. They are focused on these long term problems that they are doing as part of their product itself. Adjacent to that, the CMO organization gets some resources, but not certainly a lot. I think the CMO organization is usually challenged with the task, but not given the hundred people data science and engineering team to be able to go solve that. So what we see among our customer base is that they need agile platform to do most of the things that they need to do on a day to day basis, but augmented with what our in-house data science they have. So we are an extensible platform. What we have seen is that half of our customers use us solely for the AI needs. The other half certainly uses both AI modules that we provide and are actually augmented with things that they've already built. And we do not have a fight in that ring. But we do acknowledge and we do provide the right hooks for getting the data out of our system and bringing their AI back into our system. And we think that at the end of the day, if you want agility for the CMO, there should not be any barriers. >> It's like they're in the data business and that's the focus. So I think with what I hear you saying is that with your technology and platform, you're enabling to get them to be in the data business as fast as possible. >> That's right. >> Versus algorithm business, which they could add to over time. >> Certainly they could add to. But I think the bulk of competencies for the CMO are on the creative side. And certainly wrangling with data pipelines day in and day out and wondering what actually happened to a pipeline in the middle of the night is not probably what they would want to focus on. >> Not their core confidence. Yeah, I got that. >> That's right. >> You can do all the heavy lifting. I love that. I got to ask you on the Blueshift side on customer experience consumption. how can someone experience the product before buying? Is there a trial or POC? What's the scale and scope of operationalizing and getting the Blueshift value proposition in them? >> Yeah, great. So we actually recently released a fantastic way to experience our product. So if you go to our website, there's only one call-to-action saying, explore Blueshift. And if you click on that, without asking, anything other than your business email address, you're shown the full product. You're given a guided tour of all the possibilities. So you can actually experience what your marketing team would be doing in the product. And they call it Project Rover. We launched it very recently and we are seeing fantastic reception to that. I think a lot of times, as you said, there is that question mark of like, I have a marketing team that is already doing X, Y, Z. Now you are asking me to implement Blueshift. How would they actually experience the product? And now they can go in and experience the product. It's a great way to get the gist of the product in 10 clicks. Much more than going through any number of videos or articles. I think people really want to say, let me do those 10 clicks. And I know what impression that I can get from platform. So we do think that's a great way to experience the product and it's easily available from the main website. >> It's in the value proposition. It isn't always a straight line. And you got that technology. And I got to ask from between your experience with the customers that you're talking to, prospects, and customers, where do you see yourself winning deals on Customer Engagement, Made Simple because the word customer engagement's been around for a while, and it's become, I won't say cliche, but there's been different generational evolutions of technology that made that possible. Obviously, we're living in an era of high velocity Omni-Channel, a lot of data, the graph databases you mentioned are in there, big part of it. Where are you winning deals? Where are customers pain points where you are solving that specifically? >> Yeah, great question. So the organizations that come to us usually have one of the dimensions of either they have offering complexity, which is what catalog of content or videos or items do they offer to the customers. And on the data complexity on the other side is to what the scale of customer base that I usually target. And that problem has not gone away. I think the customer engagement, even though has been around for a while, the problem of engaging those customers at scale hasn't gone away and it only is getting harder and harder and organizations that have, especially on what we call the business-to-consumer side where the bulk of what marketing organizations in a B2C segments are doing. I have tens to millions of customers and how do I engage them day in and day out. And I think that all that problem is only getting harder because consumer preferences keeps shifting all the time. >> And where's your sweet spot for your customer? What size? Can you just share the target organization? Is it medium enterprise, large B2C, B2B2C? What's the focus area? >> Yeah, great question. So we have seen like startups that are in Silicon Valley. I have now half a million monthly active users, how do I actually engage them to customers and clients like LendingTree and PayPal and Discovery and BBC who have been in the business for multiple decades, have tens of millions of customers that they're engaging with. So that's kind of our sweet spot. We are certainly not maybe for small shop with maybe a hundred plus customers. But as you reach the scale of tens of thousands of customers, you start seeing this problem. And then you start to look out for solutions that are beyond, especially list-based marketing and email blast. >> So as the scale, you can dial up and down, but you have to have some enough scale to get the data pattern. >> That's right. >> If I can connect the dots there. >> I would probably say, looking at a hundred thousand or more monthly active customer base, and then you're trying to ramp up your own growth based on what you're learning and to engage those customers. >> It's like a bulldozer. You need the heavy equipment. Great conversation. For the last minute we have here Manyam, give you a plug for the company. What's going on? What are you guys doing? What's new? Give some success stories, your latest achievements. Take a minute to give a plug for the company. >> Yeah, great. We have been recognized by Deloitte as the fastest growth startup two years in a row and continuing to be on that streak. We have released currently integrations with AWS partners and Snowflake partners and data lake partners that allow implementing Blueshift a much streamlined experience with bidirectional integrations. We have now hundred plus data connectors and data integrations in our system and that takes care of many of our needs. And now, I think organizations that have been budget constraint and are trying to achieve a lot with a small team are actually going to look at these solutions and say, "Can I get there?" and "Can I become that 10X marketing organization? And as you have said, agility at scale is very, very hard to achieve. Being able to take your marketing team and achieve 10X requires the right platform and the right solution. We are ready for it. >> And every company's in the data business that's the asset. You guys make that sing for them. It's good stuff. Love the 10X. Love the scale. Manyam Mallela, thanks for coming on. Co-founder, Head of AI at Blueshift. This is the AWS Startup Showcase season two, episode three of the ongoing series covering the exciting startups from the AWS ecosystem. I'm John Furrier, your host. Thanks for watching. >> Thank you, John. (upbeat music)

>>Kicking things off for Netscout's latest threat intelligence reports. I'm Lisa Martin with Richard Hummel manager of threat intelligence at NetScout. We're going to be talking about DDoSs for hire. It's a free for all Richard, welcome to the program. >>Thanks for having me. At least that's always a pleasure to do interviews with you here on acuity. >>Likewise. So, which are the dark web is a dangerous place. We know that we're adversaries own and operate DDoS for hire platforms and botnets to launch everything from free tests to high powered multi-vector attacks. What did you find? What kind of attacks are being launched on the dark web, >>Sadly, any and every type of attack you. And I think you put it eloquently that it's free a little while ago. I got a question come in from a media journalists that I was talking to and they asked me what is the average cost of a DDoS attack? And my gut reaction was mad, 10, 20 USD. I even asked another reporter later on, what do you think it costs? And he came out with two or 300 USD. And so that was kinda my expectations. Well, just because of that question, I broke up my lab and I said, you know what? I'm just going to kind of sleuth a little bit. And so I started logging in, I started looking at these underground platforms and I spend time on 19 of hundreds. There's a website out there that lists all with like three or 400 of these things, but I just chose the top 19. >>And when I started looking at these, every platform that I evaluated had some form of free attacks during launch. And these are the typical for your five attacks like NTP, cl doubt, DNS amplification. These are the, the rope or routine types of attacks we see in the DDoS threat landscape and it's free. And then it scales from there. You have $5 entry fees to do trials. You have a week trial, you can go all the way up to 6,500 USD. And the adversary reports to launch one terabit per second attack with that costs. There's another one that says, Hey, we have 150,000 button-up nodes. He has $2,500, and then you can launch it from this platform. And they also have customization. They have these little sliders on there. You can go in and say, you know what? I have five targets. I want to launch 10 attacks at once. I want it to last this many minutes. These are the vectors I want to use. And then it just tells you here's what you got to pay. Now, it used to be, you needed to have a crypto wallet to even launch a DDoS attack. Well, that's no longer the case. Second. It used to be crypto currency. Well, now they take PayPal. They take wire transfers. They do Western union transfers. And so yeah, this barrier to entry, it doesn't exist anymore. >>Wow. The evolution of data also attacks the low barrier to entry. The customization. You mentioned that you researched the top 19 validated DDoS for hire services. You guys captured the types of attacks, reported number of users and the costs to launch what you went through. What are some of the things that really stuck out to you that you found? >>I think the biggest thing, the biggest outlier that I saw with a lot of these things is that this, the sheer amount of attacks or tech types that they purport to launch that combined with one other metric that I'll, I'll tell you in just a minute. But when I started adding all of these out, I came out with a list of something like 450 different line items. This is taking the attack types from all 19 of these platforms and putting it into a spreadsheet. And then when I actually got rid of the duplicates and I started looking at each one of these to see, did they call it this? And then this one called it, this, there was still 200 different types of attacks. And these attacks are not just your typical volume metric things or your typical like botnet net related things. I mean, they're going after applications. >>They're going after capture pages. They're going after some website based anti DDoSs stuff. They're going after specific games, grand theft, auto Counter-Strike, all of these things. And they have specific attacks designed to overwhelm those layers. And you can actually see in some of the, the, the news or the update boxes they have on their platforms that they put rolling updates similar to like what you would see with Microsoft update. Here's what changed. And so they'll list, oh, we added this capture bypass, or we tweak this bypass, or guess what? We added a new server. And now you have this, this more power to launch bigger attacks. The other thing that really surprised me was the sheer number of users and attacks that they put for it to have and have launched. So across these 19 platforms, I counted over 1 million registered users. Now it could be that multiple users are registered across multiple platforms. >>And so maybe that's a little redundant, but a million or 19. And then the attacks, just whatever they showed in their platform. Now, I don't know what time segment that says it could be all time. It could be a certain snapshot, whatever, 19 of several hundred of these things, more than 10 million attacks. Now, if we look at 2020, we saw 10 million attacks on the whole year, 2021, we saw 9.7 million. So you can just see it. I mean, we're not seeing the whole breadth of the threat landscape. We see about a third probably of the world's internet traffic. And so if what they say is true, there's a lot more attacks out there than even. We talk about >>A lot more attacks than, than are even uncovered. That's shocking. The evolution of DDoSs is, is also quite shocking. One of the things I noticed in the first half 2021 threat intelligence report that NetScout published was some of the underground services offer blacklists or delisting services to prevent attacks. And I thought that sounds like a good thing, but what does that really mean? >>So actually, when we were writing the last chart report, a colleague of mine role in Dobbins had actually talked about this and he's like, Hey, I saw this thing where it's this quasi illegal organization. And they were talking about listing you as this. And they actually turn around and sell these lists. And so I started researching that a little bit. And what it turns out is these organizations, they report to be VPN services. Yeah. And they also say, you know what, we're offer these kinds of lists or block lists. We offer this VPN service, but we are also collecting your IP address. And so if you don't want us to basically resell that to somebody else, or if you want us to add that so that people can attack you based on what they're seeing on the VPN, then you can pay us money and you can do like different tiers of this. >>You can say, block me for a week or a block me for a lifetime and all of these different platforms. I wouldn't say all of them, probably four of the 19 that I looked at had this service. Now as a user, I'm not going to go to every single DDoS for hire platform. I'm not going to purchase the VPN from every single one of these. I'm not going to go and add myself to their denialist across all of these things. That's, that's kind of way too much work for one. And the cost is going to be in the thousands, if not tens of thousands, as you start to add all of these things together. And so they, they report to do something good and in turn, take your information and sell it. And what's worse is they actually assign your username or your handle or your gamer tag to that IP address. >>And so now you have this full list of IPS with gamer tags. And so an adversary Alto that has no qualms or scruples about launching DDoS attacks can then purchase that list. And guess what, Hey, this, this gamer over here who has this gamer tag, he always tells me I don't, I don't want to face them anymore. So anytime I see him in a match, I'm going to go over here to this DDoS for hire platform. And I'm going to just launch attack against him, try to knock them off of them. And so that's the kind of shady business practices that we're seeing here in the underground forums. >>Well, I knew that wasn't a good, I knew that you would actually give me the skinny on what that was. So another thing that I was wondering if it was a good, you know, despite this, you talked about the incredible diversity of these platforms, the majority of attack types that you sign are recognized and mitigated by standard defensive practices. Is that another good, bad disguise as good? >>No, in this case, it is very much good. So I, as far as I've seen, there's not a single DDoS attack type from a Google stressor service to date that you can't mitigate using preparation and your, your typical DDoSs platforms, mitigation protection systems. And even, even the bandwidth, the throughput, what some people call the size or the speed of attacks. We don't really see anything in the terabit per second range from these services. Now they'll, they'll boast about having the capability to do X number of packets per second, or this size of an attack. And so some of them will even say that, Hey, you pay us this money and we're going to give you a one terabit per second attack to date in the four years that I've been here on NetScout. And even some of my colleagues who've been around the space for decades. >>They have yet to see an attack source from one of these details for higher platforms that exceed one terabit per second in bandwidth or volume. And so they might talk a big game. They might boast about these things, but oftentimes it's, it's smoke and mirrors. It's a way to get people into their platforms to purchase things. If I had to pick kind of an average volume or size of attacks for these beer stressors on the high-end, I would say around the 150 to 200 gigabit per second. Now they're a small organization that might seem huge, but to a service provider, that's, that's probably a drop in the bucket and they can easily saturate that across their network, or observe, absorb that even without the top of the line mitigation services. So just being able to have something in place, understand how adversaries are launching these attacks, what attack vectors they are, you know, do some research. >>We have this portal called ominous threat horizon, where you can actually go in there and into your industry segment and your country. And you can just look to see, are there attacks against people like me in my country? And so, but understanding if you are the target of attacks, which it's not, if it's a win, then you can understand, okay, I need to probably have provisions in place for up to this threshold and ensure there's a tax that will exceed that. But at least you're doing due diligence to have some measure of protection, understanding that these are the typical kinds of attacks that you can expect. >>Yeah. That due diligence is key. Richard, thanks for joining me talking about DDoSs for hire a lot of interesting things there that was uncovered in a moment. Richard and I are going to be back to talk about the rise of server class bot net armies.

(upbeat music) >> Everybody welcome back to theCUBE, continuous coverage of AWS 2021. This is the biggest hybrid event of the year, theCUBEs ninth year covering AWS re:Invent. My name is Dave Vellante. Arwa Kaddoura is here CUBE alumni, chief revenue officer now of InfluxData and Brian Mullen, who's the chief marketing officer. Folks good to see you. >> Thanks for having us. >> Dave: All right, great to see you face to face. >> It's great to meet you in person finally. >> So Brian, tell us about InfluxData. People might not be familiar with the company. >> Sure, yes. InfluxData, we're the company behind a pretty well-known project called Influx DB. And we're a platform for handling time series data. And so what time series data is, is really it's any, we think of it as any data that's stamped in time in some way. That could be every second, every two minutes, every five minutes, every nanosecond, whatever it might be. And typically that data comes from, you know, of course, sources and the sources are, you know, they could be things in the physical world like devices and sensors, you know, temperature gauges, batteries. Also things in the virtual world and, you know, software that you're building and running in the cloud, you know, containers, microservices, virtual machines. So all of these, whether in the physical world or the virtual world are kind of generating a lot of time series data and our platforms are designed specifically to handle that. >> Yeah so, lots to unpack here Arwa, I mean, I've kind of followed you since we met on virtually. Kind of followed your career and I know when you choose to come to a company, you start with the customer that's what your that's your... Those are your peeps. >> Arwa: Absolutely. >> So what was it that drew you to InfluxData, the customers were telling you? >> Yeah, I think what I saw happening from a marketplace is a few paradigm shifts, right? And the first paradigm shift is obviously what the cloud is enabling, right? So everything that we used to take for granted, when you know, Andreessen Horowitz said, "software was eating the world", right? And then we moved into apps are eating the world. And now you look at the cloud infrastructure that, you know, folks like AWS have empowered, they've allowed services like ours and databases, and sort of querying capabilities like Influx DB to basically run at a scale that we never would have been able to do. Just sort of with, you know, you host it yourself type of a situation. And then the other thing that it's enabled is again, if you go back to sort of database history, relational, right? Was humongous, totally transformed what we could do in terms of transactional systems. Then you moved into sort of the big data, the Hadoops, the search, right. The elastic. And now what we're seeing is time series is becoming the new paradigm. That's enabling a whole set of new use cases that have never been enabled before, right? So people that are generating these large volumes of data, like Brian talked about and needing a platform that can ingest millions of points per second. And then the ability to query that in real time in order to take that action and in order to power things like ML and things like sort of, you know, autonomous type capabilities now need this type of capability. So that's all to know >> Okay so, it's the real timeness, right? It's the use cases. Maybe you could talk a little bit more about those use cases and--- >> Sure, sure. So, yeah so we have kind of thinking about things as both the kind of virtual world where people are pulling data off of sources that are in infrastructure, software infrastructure. We have a number like PayPal is a customer of ours, and Apple. They pull a time series data from the infrastructure that runs their payments platform. So you can imagine the volume that they're dealing with. Think about how much data you might have in like a regular relational scenario now multiply every that, every piece of data times however, often you're looking at it. Every one second, every 10 minutes, whatever it might be. You're talking about an order of magnitude, larger volume, higher volume of data. And so the tools that people were using were just not really equipped to handle that kind of volume, which is unique to time series. So we have customers like PayPal in kind of the software infrastructure side. We also have quite a bit of activity among customers on the IOT side. So Tesla is a customer they're pulling telematics and battery data off of the vehicle, pulling that back into their cloud platform. Nest is also our customer. So we're pretty used to seeing, you know, connected thermostats in homes. Think of all the data that's coming from those individual units and their, it's all time series data and they're pulling it into their platform using Influx. >> So, that's interesting. So Tesla take that example they will maybe persist some of the data, maybe not all of it. It's a femoral and end up putting some of it back to the cloud, probably a small portion percentage wise but it's a huge amount of data of data, right? >> Brian: Yeah. >> So, if they might want to track some anomalies okay, capture every time animal runs across, you know, and put that back into the cloud. So where do you guys fit in that analysis and what makes you sort of the best platform for time series data base. >> Yeah, it's interesting you say that because it is a femoral and there are really two parts of it. This is one of the reasons that time series is such a challenge to handle with something that's not really designed to handle it. In a moment, in that minute, in the last hour, you have, you really want to see all the data you want all of what's happening and have full context for what's going on and seeing these fluctuations but then maybe a day later, a week later, you may not care about that level of fidelity. And so you down sample it, you have like a, kind of more of a summarized view of what happened in that moment. So being able to kind of toggle between high fidelity and low fidelity, it's a super hard problem to solve. And so our platform Influx DB really allows you to do that. >> So-- >> And that is different from relational databases, which are great at ingesting, but not great at kicking data out. >> Right. >> And I think what you're pointing to is in order to optimize these platforms, you have to ingest and get rid of data as quickly as you can. And that is not something that a traditional database can do. >> So, who do you sell to? Who's your ideal customer profile? I mean, pretty diverse. >> Yeah, It, so it tends to focus on builders, right? And builders is now obviously a much wider audience, right? We used to say developers, right. Highly technical folks that are building applications. And part of what we love about InfluxData is we're not necessarily trying to only make it for the most sophisticated builders, right? We are trying to allow you to build an application with the minimum amount of code and the greatest amount of integrations, right. So we really power you to do more with less and get rid of unnecessary code or, you know, give you that simplicity. Because for us, it's all about speed to market. You want an application, you have an idea of what it is that you're trying to measure or monitor or instrument, right? We give you the tools, we give you the integrations. We allow you to have to work in the IDE that you prefer. We just launched VS Code Integration, for example. And that then allows these technical audiences that are solving really hard problems, right? With today's technologies to really take our product to market very quickly. >> So, I want to follow up on that. So I like the term builder. It's an AWS kind of popularized that term, but there's sort of two vectors of that. There's the hardcore developers, but there's also increasingly domain experts that are building data products and then more generalists. And I think you're saying you serve both of those, but you do integrations that maybe make it easier for the latter. And of course, if the former wants to go crazy they can. Is that a right understanding? >> Yes absolutely. It is about accessibility and meeting developers where they are. For example, you probably still need a solid technical foundation to use a product like ours, but increasingly we're also investing in education, in videos and templates. Again, integrations that make it easier for people to maybe just bring a visualization layer that they themselves don't have to build. So it is about accessibility, but yes obviously with builders they're a technical foundation is pretty important. But, you know, right now we're at almost 500,000 active instances of Influx DB sort of being out there in the wild. So that to me shows, that it's a pretty wide variety of audiences that are using us. >> So, you're obviously part of the AWS ecosystem, help us understand that partnership they announced today of Serverless for Kinesis. Like, what does that mean to you as you compliment that, is that competitive? Maybe you can address that. >> Yeah, so we're a long-time partner of AWS. We've been in the partner network for several years now. And we think about it now in a couple of ways. First it's an important channel, go to market channel for us with our customers. So as you know, like AWS is an ecosystem unto itself and so many developers, many of these builders are building their applications for their own end users in, on AWS, in that ecosystem. And so it's important for us to number one, have an offering that allows them to put Influx on that bill so we're offered in the marketplace. You can sign up for and purchase and pay for Influx DB cloud using or via AWS marketplace. And then as Arwa mentioned, we have a number of integrations with all the kind of adjacent products and services from Amazon that many of our developers are using. And so when we think about kind of quote and quote, going to where the developer, meeting developers where they are that's an important part of it. If you're an AWS focused developer, then we want to give you not only an easy way to pay for and use our product but also an easy way to integrate it into all the other things that you're using. >> And I think it was 2012, it might've even been 11 on theCUBE, Jerry Chen of Greylock. We were asking him, you think AWS is going to move up the stack and develop applications. He said, no I don't think so. I think they're going to enable developers and builders to do that and then they'll compete with the traditional SaaS vendors. And that's proved to be true, at least thus far. You never say never with AWS. But then recently he wrote a piece called "Castles on the Cloud." And the premise was essentially the ISV's will build on top of clouds. And that seems to be what you're doing with Influx DB. Maybe you could tell us a little bit more about that. We call it super clouds. >> Arwa: That's right. >> you know, leveraging the 100 billion dollars a year that the hyperscalers spend to develop an abstraction layer that solves a particular problem but maybe you could describe what that is from your perspective, Influx DB. >> Yeah, well increasingly we grew up originally as an open source software company. >> Dave: Yeah, right. >> People downloaded the download Influx DB ran it locally on a laptop, put up on the server. And, you know, that's our kind of origin as a company, but increasingly what we recognize is our customers, our developers were building on the building in and on the cloud. And so it was really important for us to kind of meet them there. And so we think about, first of all, offering a product that is easily consumed in the cloud and really just allows them to essentially hit an end point. So with Influx DB cloud, they really have, don't have to worry about any of that kind of deployment and operation of a cluster or anything like that. Really, they just from a usage perspective, just pay for three things. The first is data in, how much data are you putting in? Second is query count. How many queries are you making against? And then third is storage. How much data do you have and how long are you storing it? And really, it's a pretty simple proposition for the developer to kind of see and understand what their costs are going to be as they grow their workload. >> So it's a managed service is that right? >> Brian: It is a managed service. >> Okay and how do you guys price? Is it kind of usage based. >> Total usage based, yeah, again data ingestion. We've got the query count and the storage that Brian talked about, but to your point, back to the sort of what the hyperscalers are doing in terms of creating this global infrastructure that can easily be tapped into. We then extend above that, right? We effectively become a platform as a service builder tool. Many of our customers actually use InfluxData to then power their own products, which they then commercialize into a SaaS application. Right, we've got customers that are doing, you know, Kubernetes monitoring or DevOps monitoring solutions, right? That monitor, you know, people's infrastructure or web applications or any of those things. We've got people building us into, you know, Industrial IoT such as PTC's ThingWorx, right? Where they've developed their own platform >> Dave: Very cool. >> Completely backed up by our time series database, right. Rather than them having to build everything, we become that key ingredient. And then of course the fully cloud managed service means that they could go to market that much quicker. Nobody's for procuring servers, nobody is managing, you know, security patches any of that, it's all fully done for you. And it scales up beautifully, which is the key. And to some of our customers, they also want to scale up or down, right. They know when their peak hours are or peak times they need something that can handle that load. >> So looking ahead to next year, so anyway, I'm glad AWS decided to do re:Invent live. (Arwa mumbling) >> You know, that's weird, right? We thought in June, at Mobile World Congress, we were going to, it was going to be the gateway to returning but who knows? It's like two steps forward, one step back. One step forward, two steps back but we're at least moving in the right direction. So what about for you guys InfluxData? Looking ahead for the coming year, Brian, what can we expect? You know, give us a little view of sharp view of (mumbles) >> Well kind of a keeping in the theme of meeting developers where they are, we want to build out more in the Amazon ecosystem. So more integrations, more kind of ease of use for kind of adjacent products. Another is just availability. So we've been, we're now on actually three clouds. In addition to AWS, we're on Azure and Google cloud, but now expanding horizontally and showing up so we can meet our customers that are working in Europe, expanding into Asia-Pacific which we did earlier this year. And so I think we'll continue to expand the platform globally to bring it closer to where our customers are. >> Arwa: Can I. >> All right go ahead, please. >> And I would say also the hybrid capabilities probably will also be important, right? Some of our customers run certain workloads locally and then other workloads in the cloud. That ability to have that seamless experience regardless, I think is another really critical advancement that we're continuing to invest in. So that as far as the customer is concerned, it's just an API endpoint and it doesn't matter where they're deploying. >> So where do they go, can they download a freebie version? Give us the last word. >> They go to influxdata.com. We do have a free account that anyone can sign up for. It's again, fully cloud hosted and managed. It's a great place to get started. Just learn more about our capabilities and if you're here at AWS re:Invent, we'd love to see you as well. >> Check it out. All right, guys thanks for coming on theCUBEs. >> Thank you. >> Dave: Great to see you. >> All right, thank you. >> Awesome. >> All right, and thank you for watching. Keep it right there. This is Dave Vellante for theCUBEs coverage of AWS re:Invent 2021. You're watching the leader in high-tech coverage. (upbeat music)

>>From the Bellagio hotel in Las Vegas. It's the cube covering UI path forward for brought to you by UI path. >>Good morning. Welcome to the cubes coverage of UI path forward for day two. Live from the Bellagio in Las Vegas. I'm Lisa Martin with Dave Velante, Dave. We had a great action packed day yesterday. We're going to have another action packed day today. We've got the CEO coming on. We've got customers coming on, but there's been a lot in the news last 24 hours. Facebook, what are your thoughts? >>Yeah, so wall street journal today, headline Facebook hearing fuels call for rain in on big tech. All right, everybody's going after big tech. Uh, for those of you who missed it, 60 minutes had a, uh, an interview with the whistleblower. Her name is, uh, Francis Haugen. She's very credible, just a little background. I'll give you my take. I mean, she was hired to help set Facebook straight and protect privacy of individuals, of children. And I really feel like, again, she, she didn't come across as, as bitter or antagonistic, but, but I feel as though she feels betrayed, right, I think she was hired to do a job. They lured her in to say, Hey, this is again, just my take to say, Hey, we want your help in earnest to protect the privacy of our users, our citizens, et cetera. And I think she feels betrayed because she's now saying, listen, this is not cool. >>You hired us to do a job. We in earnest, went in and tried to solve this problem. And you guys kind of ignored it and you put profit ahead of safety. And I think that is the fundamental crux of this. Now she made a number of really good points in her hearing yesterday and I'll, and we'll try to summarize, I mean, there's a lot of putting advertising revenue ahead of children's safety and, and, and others. The examples they're using are during the 2020 election, they shut down any sort of negative conversations. They would be really proactive about that, but after the election, they turned it back on and you know, we all know what happened on January 6th. So there's sort of, you know, the senators are trying that night. Um, the second thing is she talked about Facebook as a wall garden, and she made the point yesterday at the congressional hearings that Google actually, you can data scientists, anybody can go download all the data that Google has on you. >>You and I can do that. Right? There's that website that we've gone to and you look at all the data Google has and you kind of freak out. Yeah, you can't do that with Facebook, right? It's all hidden. So it's kind of this big black box. I will say this it's interesting. The calls for breaking up big tech, Bernie Sanders tweeted something out yesterday said that, uh, mark Zuckerberg was worth, I don't know. I think 9 billion in 2007 or eight or nine, whatever it was. And he's worth 122 billion today, which of course is mostly tied up in Facebook stock, but still he's got incredible wealth. And then Bernie went on his red it's time to break up big tech. It's time to get people to pay their fair share, et cetera. I'm intrigued that the senators don't have as much vigilance around other industries, whether it's big pharma, food companies addicting children to sugar and the like, but that doesn't let Facebook. >>No, it doesn't, but, but you ha you bring up a good point. You and I were chatting about this yesterday. What the whistleblower is identifying is scary. It's dangerous. And the vast majority, I think of its users, don't understand it. They're not aware of it. Um, and why is big tech being maybe singled out and use as an example here, when, to your point, you know, the addiction to sugar and other things are, uh, have very serious implications. Why is big tech being singled out here as the poster child for what's going wrong? >>Well, and they're comparing it to big tobacco, which is the last thing you want to be compared to as big tobacco. But the, but the, but the comparison is, is valid in that her claim, the whistleblower's claim was that Facebook had data and research that it knew, it knows it's hurting, you know, you know, young people. And so what did it do? It created, you know, Instagram for kids, uh, or it had 600,000. She had another really interesting comment or maybe one of the senators did. Facebook said, look, we scan our records and you know, kids lie. And we, uh, we kicked 600,000 kids off the network recently who were underaged. And the point was made if you have 600,000 people on your network that are underage, you have to go kill. That's a problem. Right? So now the flip side of this, again, trying to be balanced is Facebook shut down Donald Trump and his nonsense, uh, and basically took him off the platform. >>They kind of thwarted all the hunter Biden stuff, right. So, you know, they did do some, they did. It's not like they didn't take any actions. Uh, and now they're up, you know, in front of the senators getting hammered. But I think the Zuckerberg brings a lot of this on himself because he put out an Instagram he's on his yacht, he's drinking, he's having fun. It's like he doesn't care. And he, you know, who knows, he probably doesn't. She also made the point that he owns an inordinate percentage and controls an inordinate percentage of the stock, I think 52% or 53%. So he can kind of do what he wants. And I guess, you know, coming back to public policy, there's a lot of narrative of, I get the billionaires and I get that, you know, the Mo I'm all for billionaires paying more taxes. >>But if you look at the tax policies that's coming out of the house of representatives, it really doesn't hit the billionaires the way billionaires can. We kind of know the way that they protect their wealth is they don't sell and they take out low interest loans that aren't taxed. And so if you look at the tax policies that are coming out, they're really not going after the billionaires. It's a lot of rhetoric. I like to deal in facts. And so I think, I think there's, there's a lot of disingenuous discourse going on right now at the same time, you know, Facebook, they gotta, they gotta figure it out. They have to really do a better job and become more transparent, or they are going to get broken up. And I think that's a big risk to the, to their franchise and maybe Zuckerberg doesn't care. Maybe he just wants to give it a, give it to the government, say, Hey, are you guys are on? It >>Happens. What do you think would happen with Amazon, Google, apple, some of the other big giants. >>That's a really good question. And I think if you look at the history of the us government, in terms of ant anti monopolistic practices, it spent decade plus going after IBM, you know, at the end of the day and at the same thing with Microsoft at the end of the day, and those are pretty big, you know, high profiles. And then you look at, at T and T the breakup of at T and T if you take IBM, IBM and Microsoft, they were slowed down by the U S government. No question I've in particular had his hands shackled, but it was ultimately their own mistakes that caused their problems. IBM misunderstood. The PC market. It gave its monopoly to Intel and Microsoft, Microsoft for its part. You know, it was hugging windows. They tried to do the windows phone to try to jam windows into everything. >>And then, you know, open source came and, you know, the world woke up and said, oh, there's this internet that's built on Linux. You know, that kind of moderated by at T and T was broken up. And then they were the baby bells, and then they all got absorbed. And now you have, you know, all this big, giant telcos and cable companies. So the history of the U S government in terms of adjudicating monopolistic behavior has not been great at the same time. You know, if companies are breaking the law, they have to be held accountable. I think in the case of Amazon and Google and apple, they, a lot of lawyers and they'll fight it. You look at what China's doing. They just cut right to the chase and they say, don't go to the, they don't litigate. They just say, this is what we're doing. >>Big tech, you can't do a, B and C. We're going to fund a bunch of small startups to go compete. So that's an interesting model. I was talking to John Chambers about this and he said, you know, he was flat out that the Western way is the right way. And I believe in, you know, democracy and so forth. But I think if, to answer your question, I think they'll, they'll slow it down in courts. And I think at some point somebody's going to figure out a way to disrupt these big companies. They always do, you know, >>You're right. They always do >>Right. I mean, you know, the other thing John Chambers points out is that he used to be at 1 28, working for Wang. There is no guarantee that the past is prologue that because you succeeded in the past, you're going to succeed in the future. So, so that's kind of the Facebook break up big tech. I'd like to see a little bit more discussion around, you know, things like food companies and the, like >>You bring up a great point about that, that they're equally harmful in different ways. And yet they're not getting the visibility that a Facebook is getting. And maybe that's because of the number of users that it has worldwide and how many people depend on it for communication, especially in the last 18 months when it was one of the few channels we had to connect and engage >>Well. And, and the whistleblower's point, Facebook puts out this marketing narrative that, Hey, look at all this good we're doing in reality. They're all about the, the, the advertising profits. But you know, I'm not sure what laws they're breaking. They're a public company. They're, they're, they have a responsibility to shareholders. So that's, you know, to be continued. The other big news is, and the headline is banks challenge, apple pay over fees for transactions, right? In 2014, when apple came up with apple pay, all the banks lined up, oh, they had FOMO. They didn't want to miss out on this. So they signed up. Now. They don't like the fact that they have to pay apple fees. They don't like the fact that apple introduced its own credit card. They don't like the fact that they have to pay fees on monthly recurring charges on your, you know, your iTunes. >>And so we talked about this and we talk about it a lot on the cube is that, that in, in, in, in his book, seeing digital David, Michelle, or the author talked about Silicon valley broadly defined. So he's including Seattle, Microsoft, but more so Amazon, et cetera, has a dual disruption agenda. They're not only trying to disrupt horizontally the technology industry, but they're also disrupting industry. We talked about this yesterday, apple and finances. The example here, Amazon, who was a bookseller got into cloud and is in grocery and is doing content. And you're seeing these a large companies, traverse industry value chains, which have historically been very insulated right from that type of competition. And it's all because of digital and data. So it's a very, pretty fascinating trends going on. >>Well, from a financial services perspective, we've been seeing the unbundling of the banks for a while. You know, the big guys with B of A's, those folks are clearly concerned about the smaller, well, I'll say the smaller FinTech disruptors for one, but, but the non FinTech folks, the apples of the world, for example, who aren't in that industry who are now to your point, disrupting horizontally and now going after individual specific industries, ultimately I think as consumers we want, whatever is going to make our lives easier. Um, do you ever, ever, I always kind of scratch my nose when somebody doesn't take apple pay, I'm like, you don't take apple pay so easy. It's so easy to make this easy for me. >>Yeah. Yeah. So it's, it's going to be really interesting to see how this plays out. I, I do think, um, you know, it begs the question when will banks or Willbanks lose control of the payment systems. They seem to be doing that already with, with alternative forms of payment, uh, whether it's PayPal or Stripe or apple pay. And then crypto is, uh, with, with, with decentralized finance is a whole nother topic of disruption and innovation, >>Right? Well, these big legacy institutions, these organizations, and we've spoke with some of them yesterday, we're going to be speaking with some of them today. They need to be able to be agile, to transform. They have to have the right culture in order to do that. That's the big one. They have to be willing. I think an open to partner with the broader ecosystem to unlock more opportunities. If they want to be competitive and retain the trust of the clients that they've had for so long. >>I think every industry has a digital disruption scenario. We used to always use the, don't get Uber prized example Uber's coming on today, right? And, and there isn't an industry, whether it's manufacturing or retail or healthcare or, or government that isn't going to get disrupted by digital. And I think the unique piece of this is it's it's data, data, putting data at the core. That's what the big internet giants have done. That's what we're hearing. All these incumbents try to do is to put data. We heard this from Coca-Cola yesterday, we're putting data at the core of our company and what we're enabling through automation and other activities, uh, digital, you know, a company. And so, you know, can these, can these giants, these hundred plus year old giants compete? I think they can because they don't have to invent AI. They can work with companies like UI path and embed AI into their business and focused on, on what they do best. Now, of course, Google and Amazon and Facebook and Microsoft there may be going to have the best AI in the world. But I think ultimately all these companies are on a giant collision course, but the market is so huge that I think there's a lot of, >>There's a tremendous amount of opportunity. I think one of the things that was exciting about talking to one, the female CIO of Coca-Cola yesterday, a hundred plus old organization, and she came in with a very transformative, very different mindset. So when you see these, I always appreciate when I say legacy institutions like Coca-Cola or Merck who was on yesterday, blue cross blue shield who's on today, embracing change, cultural change going. We can't do things the way we used to do, because there are competitors in that review mirror who are smaller, they're more nimble, they're faster. They're going to be, they're going to take our customers away from us. We have to deliver this exceptional customer and employee experience. And Coca-Cola is a great example of one that really came in with CA brought in a disruptor in order to align digital with the CEO's thoughts and processes and organization. These are >>Highly capable companies. We heard from the head of finance at, at applied materials today. He was also coming on. I was quite, I mean, this is a applied materials is really strong company. They're talking about a 20 plus billion dollar company with $120 billion market cap. They supply semiconductor equipment and they're a critical component of the semiconductor supply chain. And we all know what's going on in semiconductors today with a huge shortage. So they're a really important company, but I was impressed with, uh, their finance leaders vision on how they're transforming the company. And it was not like, you know, 10 years out, these were not like aspirational goals. This is like 20, 19, 20, 22. Right. And, and really taking costs out of the business, driving new innovation. And, and it's, it was it's, it's refreshing to me Lisa, to see CFOs, you know, typically just bottom line finance focused on these industry transformations. Now, of course, at the end of the day, it's all about the bottom line, but they see technology as a way to get there. In fact, he put technology right in the middle of his stack. I want to ask him about that too. I actually want to challenge him a little bit on it because he had that big Hadoop elephant in the middle and this as an elephant in the room. And that picture, >>The strategy though, that applied materials had, it was very well thought out, but it was also to your point designed to create outcomes year upon year upon year. And I was looking at some of the notes. I took that in year one, alone, 274 automations in production. That's a lot, 150,000 in annual work hours automated 124 use cases they tackled in one year. >>So I want to, I want to poke at that a little bit too. And I, and I did yesterday with some guests. I feel like, well, let's see. So, um, I believe it was, uh, I forget what guests it was, but she said we don't put anything forward that doesn't hit the income statement. Do you remember that? Yes, it was Chevron because that was pushing her. I'm like, well, you're not firing people. Right. And we saw from IDC data today, only 13% of organizations are saying, or, or, or the organizations at 13% of the value was from reduction in force. And a lot of that was probably in plan anyway, and they just maybe accelerated it. So they're not getting rid of headcount, but they're counting hours saved. So that says to me, there's gotta be an normally or often CFOs say, well, it's that soft dollars because we're redeploying folks. But she said, no, it hits the income statement. So I don't, I want to push a little bit and see how they connect the dots, because if you're going to save hours, you're going to apply people to new work. And so either they're generating revenue or cutting costs somewhere. So, so there's another layer that I want to appeal to understand how that hits the income state. >>Let's talk about some of that IDC data. They announced a new white paper this morning sponsored by UI path. And I want to get your perspectives on some of the stats that they talked about. They were painting a positive picture, an optimistic picture. You know, we can't talk about automation without talking about the fear of job loss. They've been in a very optimistic picture for the actual gains over a few year period. What are your thoughts about that? Especially when we saw that stat 41% slowed hiring. >>Yeah. So, well, first of all, it's a sponsored study. So, you know, and of course the conferences, so it's going to be, be positive, but I will say this about IDC. IDC is a company I would put, you know, forest they're similar. They do sponsored research and they're credible. They don't, they, they have the answer to their audience, so they can't just out garbage. And so it has to be defensible. So I give them credit there that they won't just take whatever the vendor wants them to write and then write it. I've used to work there. And I, and I know the culture and there's a great deal of pride in being able to defend what you do. And if the answer doesn't come out, right, sorry, this is the answer. You know, you could pay a kill fee or I dunno how they handle it today. >>But, but, so my point is I think, and I know the people who did that study, many of them, and I think they're pretty credible. I, I thought by the way, you, to your 41% point. So the, the stat was 13% are gonna reduce head count, right? And then there were two in the middle and then 41% are gonna reduce or defer hiring in the future. And this to me, ties into the Erik Brynjolfsson and, and, and, uh, and, and McAfee work. Andy McAfee work from MIT who said, look, initially actually made back up. They said, look at machines, have always replaced humans. Historically this was in their book, the second machine age and what they said was, but for the first time in history, machines are replacing humans with cognitive functions. And this is sort of, we've never seen this before. It's okay. That's cool. >>And their, their research suggests that near term, this is going to be a negative economic impact, sorry, negative impact on jobs and salaries. And we've, we've generally seen this, the average salary, uh, up until recently has been flat in the United States for years and somewhere in the mid fifties. But longterm, their research shows that, and this is consistent. I think with IDC that it's going to help hiring, right? There's going to be a boost buddy, a net job creator. And there's a, there's a, there's a chasm you've got across, which is education training and skill skillsets, which Brynjolfsson and McAfee focused on things that humans can do that machines can't. And you have this long list and they revisited every year. Like they used to be robots. Couldn't walk upstairs. Well, you see robots upstairs all the time now, but it's empathy, it's creativity. It's things like that. >>Contact that humans are, are much better at than machines, uh, even, even negotiations. And, and so, so that's, those are skills. I don't know where you get those skills. Do you teach those and, you know, MBA class or, you know, there's these. So their point is there needs to be a new thought process around education, public policy, and the like, and, and look at it. You can't protect the past from the future, right? This is inevitable. And we've seen this in terms of economic activity around the world countries that try to protect, you know, a hundred percent employment and don't let competition, they tend to fall behind competitively. You know, the U S is, is not of that category. It's an open market. So I think this is inevitable. >>So a lot about upskilling yesterday, and the number of we talked with PWC about, for example, about what they're doing and a big focus on upscaling. And that was part of the IDC data that was shared this morning. For example, I'll share a stat. This was a survey of 518 people. 68% of upscaled workers had higher salaries than before. They also shared 57% of upskilled workers had higher roles and their enterprises then before. So some, again, two point it's a sponsored study, so it's going to be positive, but there, there was a lot of discussion of upskilling yesterday and the importance on that education, because to your point, we can't have one without the other. You can't give these people access to these tools and not educate them on how to use it and help them help themselves become more relevant to the organization. Get rid of the mundane tasks and be able to start focusing on more strategic business outcome, impacting processes. >>We talked yesterday about, um, I use the example of, of SAP. You, you couldn't have predicted SAP would have won the ERP wars in the early to mid 1990s, but if you could have figured out who was going to apply ERP to their businesses, you know what, you know, manufacturing companies and these global firms, you could have made a lot of money in the stock market by, by identifying those that were going to do that. And we used to say the same thing about big data, and the reason I'm bringing all this up is, you know, the conversations with PWC, Deloitte and others. This is a huge automation, a huge services opportunity. Now, I think the difference between this and the big data era, which is really driven by Hadoop is it was big data was so complicated and you had a lack of data scientists. >>So you had to hire these services firms to come in and fill those gaps. I think this is an enormous services opportunity with automation, but it's not because the software is hard to get to work. It's all around the organizational processes, rethinking those as people process technology, it's about the people in the process, whereas Hadoop and the big data era, it was all about the tech and they would celebrate, Hey, this stuff works great. There are very few companies really made it through that knothole to dominate as we've seen with the big internet giants. So you're seeing all these big services companies playing in this market because as I often say, they like to eat at the trough. I know it's kind of a pejorative, but it's true. So it's huge, huge market, but I'm more optimistic about the outcomes for a broader audience with automation than I was with, you know, big data slash Hadoop, because I think the software as much, as much more adoptable, easier to use, and you've got the cloud and it's just a whole different ball game. >>That's certainly what we heard yesterday from Chevron about the ease of use and that you should be able to see results and returns very quickly. And that's something too that UI path talks about. And a lot of their marketing materials, they have a 96, 90 7% retention rate. They've done a great job building their existing customers land and expand as we talked about yesterday, a great use case for that, but they've done so by making things easy, but hearing that articulated through the voice of their customers, fantastic validation. >>So, you know, the cube is like a little, it's like a interesting tip of the spirits, like a probe. And I will tell you when I, when we first started doing the cube and the early part of the last decade, there were three companies that stood out. It was Splunk service now and Tableau. And the reason they stood out is because they were able to get customers to talk about how great they were. And the light bulb went off for us. We were like, wow, these are three companies to watch. You know, I would tell all my wall street friends, Hey, watch these companies. Yeah. And now you see, you know, with Frank Slootman at snowflake, the war, the cat's out of the bag, everybody knows it's there. And they're expecting, you know, great things. The stock is so priced to perfection. You could argue, it's overpriced. >>The reason I'm bringing this up is in terms of customer loyalty and affinity and customer love. You're getting it here. Absolutely this ecosystem. And the reason I bring that up is because there's a lot of questions in the, in the event last night, it was walking around. I saw a couple of wall street guys who came up to me and said, Hey, I read your stuff. It was good. Let's, let's chat. And there's a lot of skepticism on, on wall street right now about this company. Right? And to me, that's, that's good news for you. Investors who want to do some research, because the words may be not out. You know, they, they, they gotta prove themselves here. And to me, the proof is in the customer and the lifetime value of that customer. So, you know, again, we don't give stock advice. We, we kind of give fundamental observations, but this stock, I think it's trading just about 50. >>Now. I don't think it's going to go to 30, unless the market just tanks. It could have some, you know, if that happens, okay, everything will go down. But I actually think, even though this is a richly priced stock, I think the future of this company is very bright. Obviously, if they continue to execute and we're going to hear from the CEO, right? People don't know Daniel, Denise, right? They're like, who is this guy? You know, he started this company and he's from Eastern Europe. And we know he's never have run a public company before, so they're not diving all in, you know? And so that to me is something that really pay attention to, >>And we can unpack that with him later today. And we've got some great customers on the program. You mentioned Uber's here. Spotify is here, applied materials. I feel like I'm announcing something on Saturday night. Live Uber's here. Spotify is here. All right, Dave, looking forward to a great action packed today. We're going to dig more into this and let's get going. Shall we let's do it. All right. For David Dante, I'm Lisa Martin. This is the cube live in Las Vegas. At the Bellagio. We are coming to you presenting UI path forward for come back right away. Our first guest comes up in just a second.

(cheerful music) >> Hello everyone, welcome to today's session of theCUBE's presentation of AWS Startup Showcase, New Breakthroughs in DevOps, Data Analytics, Cloud Management Tools, featuring Okera from the cloud management migration track. I'm John Furrier, your host. We've got two great special guests today, Nong Li, founder and CTO of Okera, and Sanjeev Mohan, principal @SanjMo, and former research vice president of big data and advanced analytics at Gartner. He's a legend, been around the industry for a long time, seen the big data trends from the past, present, and knows the future. Got a great lineup here. Gentlemen, thank you for this, so, life in the trenches, lessons learned across compliance, cloud migration, analytics, and use cases for Fortune 1000s. Thanks for joining us. >> Thanks for having us. >> So Sanjeev, great to see you, I know you've seen this movie, I was saying that in the open, you've at Gartner seen all the visionaries, the leaders, you know everything about this space. It's changing extremely fast, and one of the big topics right out of the gate is not just innovation, we'll get to that, that's the fun part, but it's the regulatory compliance and audit piece of it. It's keeping people up at night, and frankly if not done right, slows things down. This is a big part of the showcase here, is to solve these problems. Share us your thoughts, what's your take on this wide-ranging issue? >> So, thank you, John, for bringing this up, and I'm so happy you mentioned the fact that, there's this notion that it can slow things down. Well I have to say that the old way of doing governance slowed things down, because it was very much about control and command. But the new approach to data governance is actually in my opinion, it's liberating data. If you want to democratize or monetize, whatever you want to call it, you cannot do it 'til you know you can trust said data and it's governed in some ways, so data governance has actually become very interesting, and today if you want to talk about three different areas within compliance regulatory, for example, we all know about the EU GDPR, we know California has CCPA, and in fact California is now getting even a more stringent version called CPRA in a couple of years, which is more aligned to GDPR. That is a first area we know we need to comply to that, we don't have any way out. But then, there are other areas, there is insider trading, there is how you secure the data that comes from third parties, you know, vendors, partners, suppliers, so Nong, I'd love to hand it over to you, and see if you can maybe throw some light into how our customers are handling these use cases. >> Yeah, absolutely, and I love what you said about balancing agility and liberating, in the face of what may be seen as things that slow you down. So we work with customers across verticals with old and new regulations, so you know, you brought up GDPR. One of our clients is using this to great effect to power their ecosystem. They are a very large retail company that has operations and customers across the world, obviously the importance of GDPR, and the regulations that imposes on them are very top of mind, and at the same time, being able to do effective targeting analytics on customer information is equally critical, right? So they're exactly at that spot where they need this customer insight for powering their business, and then the regulatory concerns are extremely prevalent for them. So in the context of GDPR, you'll hear about things like consent management and right to be forgotten, right? I, as a customer of that retailer should say "I don't want my information used for this purpose," right? "Use it for this, but not this." And you can imagine at a very, very large scale, when you have a billion customers, managing that, all the data you've collected over time through all of your devices, all of your telemetry, really, really challenging. And they're leveraging Okera embedded into their analytics platform so they can do both, right? Their data scientists and analysts who need to do everything they're doing to power the business, not have to think about these kind of very granular customer filtering requirements that need to happen, and then they leverage us to do that. So that's kind of new, right, GDPR, relatively new stuff at this point, but we obviously also work with customers that have regulations from a long long time ago, right? So I think you also mentioned insider trading and that supply chain, so we'll talk to customers, and they want really data-driven decisions on their supply chain, everything about their production pipeline, right? They want to understand all of that, and of course that makes sense, whether you're the CFO, if you're going to make business decisions, you need that information readily available, and supply chains as we know get more and more and more complex, we have more and more integrated into manufacturing and other verticals. So that's your, you're a little bit stuck, right? You want to be data-driven on those supply chain analytics, but at the same time, knowing the details of all the supply chain across all of your dependencies exposes your internal team to very high blackout periods or insider trading concerns, right? For example, if you knew Apple was buying a bunch of something, that's maybe information that only a select few people can have, and the way that manifests into data policies, 'cause you need the ability to have very, very scalable, per employee kind of scalable data restriction policies, so they can do their job easier, right? If we talk about speeding things up, instead of a very complex process for them to get approved, and approved on SEC regulations, all that kind of stuff, you can now go give them access to the part of the supply chain that they need, and no more, and limit their exposure and the company's exposure and all of that kind of stuff. So one of our customers able to do this, getting two orders of magnitude, a 100x reduction in the policies to manage the system like that. >> When I hear you talking like that, I think the old days of "Oh yeah, regulatory, it kind of slows down innovation, got to go faster," pretty basic variables, not a lot of combination of things to check. Now with cloud, there seems to be combinations, Sanjeev, because how complicated has the regulatory compliance and audit environment gotten in the past few years, because I hear security in a supply chain, I hear insider threats, I mean these are security channels, not just compliance department G&A kind of functions. You're talking about large-scale, potentially combinations of access, distribution, I mean it seems complicated. How much more complicated is it now, just than it was a few years ago? >> So, you know the way I look at it is, I'm just mentioning these companies just as an example, when PayPal or Ebay, all these companies started, they started in California. Anybody who ever did business on Ebay or PayPal, guess where that data was? In the US in some data center. Today you cannot do it. Today, data residency laws are really tough, and so now these organizations have to really understand what data needs to remain where. On top of that, we now have so many regulations. You know, earlier on if you were healthcare, you needed to be HIPAA compliant, or banking PCI DSS, but today, in the cloud, you really need to know, what data I have, what sensitive data I have, how do I discover it? So that data discovery becomes really important. What roles I have, so for example, let's say I work for a bank in the US, and I decide to move to Germany. Now, the old school is that a new rule will be created for me, because of German... >> John: New email address, all these new things happen, right? >> Right, exactly. So you end up with this really, a mass of rules and... And these are all static. >> Rules and tools, oh my god. >> Yeah. So Okera actually makes a lot of this dynamic, which reduces your cloud migration overhead, and Nong used some great examples, in fact, sorry if I take just a second, without mentioning any names, there's one of the largest banks in the world is going global in the digital space for the first time, and they're taking Okera with them. So... >> But what's the point? This is my next topic in cloud migration, I want to bring this up because, complexity, when you're in that old school kind of data center, waterfall, these old rules and tools, you have to roll this out, and it's a pain in the butt for everybody, it's a hassle, huge hassle. Cloud gives the agility, we know that, and cloud's becoming more secure, and I think now people see the on-premise, certainly things that'd be on-premises for secure things, I get that, but when you start getting into agility, and you now have cloud regions, you can start being more programmatic, so I want to get you guys' thoughts on the cloud migration, how companies who are now lifting and shifting, replatforming, what's the refactoring beyond that, because you can replatform in the cloud, and still some are kind of holding back on that. Then when you're in the cloud, the ones that are winning, the companies that are winning are the ones that are refactoring in the cloud. Doing things different with new services. Sanjeev, you start. >> Yeah, so you know, in fact lot of people tell me, "You know, we are just going to lift and shift into the cloud." But you're literally using cloud as a data center. You still have all the, if I may say, junk you had on-prem, you just moved it into the cloud, and now you're paying for it. In cloud, nothing is free. Every storage, every processing, you're going to pay for it. The most successful companies are the ones that are replatforming, they are taking advantage of the platform as a service or software as a service, so that includes things like, you pay as you go, you pay for exactly the amount you use, so you scale up and scale down or scale out and scale in, pretty quickly, you know? So you're handling that demand, so without replatforming, you are not really utilizing your- >> John: It's just hosting. >> Yeah, you're just hosting. >> It's basically hosting if you're not doing anything right there. >> Right. The reason why people sometimes resist to replatform, is because there's a hidden cost that we don't really talk about, PaaS adds 3x to IaaS cost. So, some organizations that are very mature, and they have a few thousand people in the IT department, for them, they're like "No, we just want to run it in the cloud, we have the expertise, and it's cheaper for us." But in the long run, to get the most benefit, people should think of using cloud as a service. >> Nong what's your take, because you see examples of companies, I'll just call one out, Snowflake for instance, they're essentially a data warehouse in the cloud, they refactored and they replatformed, they have a competitive advantage with the scale, so they have things that others don't have, that just hosting. Or even on-premise. The new model developing where there's real advantages, and how should companies think about this when they have to manage these data lakes, and they have to manage all these new access methods, but they want to maintain that operational stability and control and growth? >> Yeah, so. No? Yeah. >> There's a few topics that are all (indistinct) this topic. (indistinct) enterprises moving to the cloud, they do this maybe for some cost savings, but a ton of it is agility, right? The motor that the business can run at is just so much faster. So we'll work with companies in the context of cloud migration for data, where they might have a data warehouse they've been using for 20 years, and building policies over that time, right? And it's taking a long time to go proof of access and those kind of things, made more sense, right? If it took you months to procure a physical infrastructure, get machines shipped to your data center, then this data access taking so long feels okay, right? That's kind of the same rate that everything is moving. In the cloud, you can spin up new infrastructure instantly, so you don't want approvals for getting policies, creating rules, all that stuff that Sanjeev was talking about, that being slow is a huge, huge problem. So this is a very common environment that we see where they're trying to do that kind of thing. And then, for replatforming, again, they've been building these roles and processes and policies for 20 years. What they don't want to do is take 20 years to go migrate all that stuff into the cloud, right? That's probably an experience nobody wants to repeat, and frankly for many of them, people who did it originally may or may not be involved in this kind of effort. So we work with a lot of companies like that, they have their, they want stability, they got to have the business running as normal, they got to get moving into the new infrastructure, doing it in a new way that, you know, with all the kind of lessons learned, so, as Sanjeev said, one of these big banks that we work with, that classical story of on-premise data warehousing, maybe a little bit of Hadoop, moved onto AWS, S3, Snowflake, that kind of setup, extremely intricate policies, but let's go reimagine how we can do this faster, right? What we like to talk about is, you're an organization, you need a design that, if you onboarded 1000 more data users, that's got to be way, way easier than the first 10 you onboarded, right? You got to get it to be easier over time, in a really, really significant way. >> Talk about the data authorization safety factor, because I can almost imagine all the intricacies of these different tools creates specialism amongst people who operate them. And each one might have their own little authorization nuance. Trend is not to have that siloed mentality. What's your take on clients that want to just "Hey, you know what? I want to have the maximum agility, but I don't want to get caught in the weeds on some of these tripwires around access and authorization." >> Yeah, absolutely, I think it's real important to get the balance of it, right? Because if you are an enterprise, or if you have diversive teams, you want them to have the ability to use tools as best of breed for their purpose, right? But you don't want to have it be so that every tool has its own access and provisioning and whatever, that's definitely going to be a security, or at least, a lot of friction for you to get things going. So we think about that really hard, I think we've seen great success with things like SSO and Okta, right? Unifying authentication. We think there's a very, very similar thing about to happen with authorization. You want that single control plane that can integrate with all the tools, and still get the best of what you need, but it's much, much easier (indistinct). >> Okta's a great example, if people don't want to build their own thing and just go with that, same with what you guys are doing. That seems to be the dots that are connecting you, Sanjeev. The ease of use, but yet the stability factor. >> Right. Yeah, because John, today I may want to bring up a SQL editor to go into Snowflake, just as an example. Tomorrow, I may want to use the Azure Bot, you know? I may not even want to go to Snowflake, I may want to go to an underlying piece of data, or I may use Power BI, you know, for some reason, and come from Azure side, so the point is that, unless we are able to control, in some sort of a centralized manner, we will not get that consistency. And security you know is all or nothing. You cannot say "Well, I secured my Snowflake, but if you come through HTFS, Hadoop, or some, you know, that is outside of my realm, or my scope," what's the point? So that is why it is really important to have a watertight way, in fact I'm using just a few examples, maybe tomorrow I decide to use a data catalog, or I use Denodo as my data virtualization and I run a query. I'm the same identity, but I'm using different tools. I may use it from home, over VPN, or I may use it from the office, so you want this kind of flexibility, all encompassed in a policy, rather than a separate rule if you do this and this, if you do that, because then you end up with literally thousands of rules. >> And it's never going to stop, either, it's like fashion, the next tool's going to come out, it's going to be cool, and people are going to want to use it, again, you don't want to have to then move the train from the compliance side this way or that way, it's a lot of hassle, right? So we have that one capability, you can bring on new things pretty quickly. Nong, am I getting it right, this is kind of like the trend, that you're going to see more and more tools and/or things that are relevant or, certain use cases that might justify it, but yet, AppSec review, compliance review, I mean, good luck with that, right? >> Yeah, absolutely, I mean we certainly expect tools to continue to get more and more diverse, and better, right? Most innovation in the data space, and I think we... This is a great time for that, a lot of things that need to happen, and so on and so forth. So I think one of the early goals of the company, when we were just brainstorming, is we don't want data teams to not be able to use the tools because it doesn't have the right security (indistinct), right? Often those tools may not be focused on that particular area. They're great at what they do, but we want to make sure they're enabled, they do some enterprise investments, they see broader adoption much easier. A lot of those things. >> And I can hear the sirens in the background, that's someone who's not using your platform, they need some help there. But that's the case, I mean if you don't get this right, there are some consequences, and I think one of the things I would like to bring up on next track is, to talk through with you guys is, the persona pigeonhole role, "Oh yeah, a data person, the developer, the DevOps, the SRE," you start to see now, developers and with cloud developers, and data folks, people, however they get pigeonholed, kind of blending in, okay? You got data services, you got analytics, you got data scientists, you got more democratization, all these things are being kicked around, but the notion of a developer now is a data developer, because cloud is about DevOps, data is now a big part of it, it's not just some department, it's actually blending in. Just a cultural shift, can you guys share your thoughts on this trend of data people versus developers now becoming kind of one, do you guys see this happening, and if so, how? >> So when, John, I started my career, I was a DBA, and then a data architect. Today, I think you cannot have a DBA who's not a developer. That's just my opinion. Because there is so much of CICD, DevOps, that happens today, and you know, you write your code in Python, you put it in version control, you deploy using Jenkins, you roll back if there's a problem. And then, you are interacting, you're building your data to be consumed as a service. People in the past, you would have a thick client that would connect to the database over TCP/IP. Today, people don't want to connect over TCP/IP necessarily, they want to go by HTTP. And they want an API gateway in the middle. So, if you're a data architect or DBA, now you have to worry about, "I have a REST API call that's coming in, how am I going to secure that, and make sure that people are allowed to see that?" And that was just yesterday. >> Exactly. Got to build an abstraction layer. You got to build an abstraction layer. The old days, you have to worry about schema, and do all that, it was hard work back then, but now, it's much different. You got serverless, functions are going to show way... It's happening. >> Correct, GraphQL, and semantic layer, that just blows me away because, it used to be, it was all in database, then we took it out of database and we put it in a BI tool. So we said, like BusinessObjects started this whole trend. So we're like "Let's put the semantic layer there," well okay, great, but that was when everything was surrounding BusinessObjects and Oracle Database, or some other database, but today what if somebody brings Power BI or Tableau or Qlik, you know? Now you don't have a semantic layer access. So you cannot have it in the BI layer, so you move it down to its own layer. So now you've got a semantic layer, then where do you store your metrics? Same story repeats, you have a metrics layer, then the data centers want to do feature engineering, where do you store your features? You have a feature store. And before you know, this stack has disaggregated over and over and over, and then you've got layers and layers of specialization that are happening, there's query accelerators like Dremio or Trino, so you've got your data here, which Nong is trying really hard to protect, and then you've got layers and layers and layers of abstraction, and networks are fast, so the end user gets great service, but it's a nightmare for architects to bring all these things together. >> How do you tame the complexity? What's the bottom line? >> Nong? >> Yeah, so, I think... So there's a few things you need to do, right? So, we need to re-think how we express security permanence, right? I think you guys have just maybe in passing (indistinct) talked about creating all these rules and all that kind of stuff, that's been the way we've done things forever. We get to think about policies and mechanisms that are much more dynamic, right? You need to really think about not having to do any additional work, for the new things you add to the system. That's really, really core to solving the complexity problem, right? 'Cause that gets you those orders of magnitude reduction, system's got to be more expressive and map to those policies. That's one. And then second, it's got to be implemented at the right layer, right, to Sanjeev's point, close to the data, and it can service all of those applications and use cases at the same time, and have that uniformity and breadth of support. So those two things have to happen. >> Love this universal data authorization vision that you guys have. Super impressive, we had a CUBE Conversation earlier with Nick Halsey, who's a veteran in the industry, and he likes it. That's a good sign, 'cause he's seen a lot of stuff, too, Sanjeev, like yourself. This is a new thing, you're seeing compliance being addressed, and with programmatic, I'm imagining there's going to be bots someday, very quickly with AI that's going to scale that up, so they kind of don't get in the innovation way, they can still get what they need, and enable innovation. You've got cloud migration, which is only going faster and faster. Nong, you mentioned speed, that's what CloudOps is all about, developers want speed, not things in days or hours, they want it in minutes and seconds. And then finally, ultimately, how's it scale up, how does it scale up for the people operating and/or programming? These are three major pieces. What happens next? Where do we go from here, what's, the customer's sitting there saying "I need help, I need trust, I need scale, I need security." >> So, I just wrote a blog, if I may diverge a bit, on data observability. And you know, so there are a lot of these little topics that are critical, DataOps is one of them, so to me data observability is really having a transparent view of, what is the state of your data in the pipeline, anywhere in the pipeline? So you know, when we talk to these large banks, these banks have like 1000, over 1000 data pipelines working every night, because they've got that hundred, 200 data sources from which they're bringing data in. Then they're doing all kinds of data integration, they have, you know, we talked about Python or Informatica, or whatever data integration, data transformation product you're using, so you're combining this data, writing it into an analytical data store, something's going to break. So, to me, data observability becomes a very critical thing, because it shows me something broke, walk me down the pipeline, so I know where it broke. Maybe the data drifted. And I know Okera does a lot of work in data drift, you know? So this is... Nong, jump in any time, because I know we have use cases for that. >> Nong, before you get in there, I just want to highlight a quick point. I think you're onto something there, Sanjeev, because we've been reporting, and we believe, that data workflows is intellectual property. And has to be protected. Nong, go ahead, your thoughts, go ahead. >> Yeah, I mean, the observability thing is critically important. I would say when you want to think about what's next, I think it's really effectively bridging tools and processes and systems and teams that are focused on data production, with the data analysts, data scientists, that are focused on data consumption, right? I think bridging those two, which cover a lot of the topics we talked about, that's kind of where security almost meets, that's kind of where you got to draw it. I think for observability and pipelines and data movement, understanding that is essential. And I think broadly, on all of these topics, where all of us can be better, is if we're able to close the loop, get the feedback loop of success. So data drift is an example of the loop rarely being closed. It drifts upstream, and downstream users can take forever to figure out what's going on. And we'll have similar examples related to buy-ins, or data quality, all those kind of things, so I think that's really a problem that a lot of us should think about. How do we make sure that loop is closed as quickly as possible? >> Great insight. Quick aside, as the founder CTO, how's life going for you, you feel good? I mean, you started a company, doing great, it's not drifting, it's right in the stream, mainstream, right in the wheelhouse of where the trends are, you guys have a really crosshairs on the real issues, how you feeling, tell us a little bit about how you see the vision. >> Yeah, I obviously feel really good, I mean we started the company a little over five years ago, there are kind of a few things that we bet would happen, and I think those things were out of our control, I don't think we would've predicted GDPR security and those kind of things being as prominent as they are. Those things have really matured, probably as best as we could've hoped, so that feels awesome. Yeah, (indistinct) really expanded in these years, and it feels good. Feels like we're in the right spot. >> Yeah, it's great, data's competitive advantage, and certainly has a lot of issues. It could be a blocker if not done properly, and you're doing great work. Congratulations on your company. Sanjeev, thanks for kind of being my cohost in this segment, great to have you on, been following your work, and you continue to unpack it at your new place that you started. SanjMo, good to see your Twitter handle taking on the name of your new firm, congratulations. Thanks for coming on. >> Thank you so much, such a pleasure. >> Appreciate it. Okay, I'm John Furrier with theCUBE, you're watching today's session presentation of AWS Startup Showcase, featuring Okera, a hot startup, check 'em out, great solution, with a really great concept. Thanks for watching. (calm music)

>>From around the globe. It's the cube with digital coverage of IBM. Think 20, 21 brought to you by IBM, >>Welcome back to IBM. Think at 2021, the virtual edition, my name is Dave Volante and you're watching the cubes continuous coverage of think 21. And right now we're going to talk about banking and the post isolation economy. I'm very pleased to welcome our next guests. Look at Wigley's the general manager global banking financial markets at IBM and John diagonal is the global CTO and vice president and distinguished engineer for banking and financial services. Gentlemen, welcome to the cube. That's my pleasure. Look at this current economic upheaval, it's quite a bit different from the last one. Isn't it? I mean, liquidity doesn't seem to be a problem for most banks these days. I mean, if anything, they're releasing loan loss reserves that they didn't need. What's from your perspective, what's the state of banking today and hopefully as we exit this pandemic soon. Okay. >>So, so Dave, I think, like you say, it's a, it's a, it's a state in a picture that, uh, in a significantly different from what people were expecting. And I, and I think some way, in some ways you're seeing the benefits of a number of the regulations that were put into, into place after the, you know, the financial crisis last time round, right? And therefore this time, you know, a health crisis did not become a financial crisis because I think the banks were in better shape. And also, you know, governments clearly have put worldwide a lot of liquidity into the, into the system. Um, I think if you look at it though, um, maybe two or three things ready to call out, firstly, there's a, there's a massive regional variation. So if you look at the U S banking industry, uh, it's extremely buoyant and I'll come back to that in a managing the way in which it's performing. >>Uh, you know, the banks that are starting to report that first quarter results are going to show a profitability that's significantly ahead of where they were last year. And probably some of those, some of that best performance for quite a long time, if you go into Europe, it's a completely different picture. I think the banks are extremely challenged at that. And I think you're going to see a much Bleaker outlook in terms of what those banks report, as far as Asia Pacific is concerned again, you know, because they did, they have come out of the pandemic much faster that consumer businesses back into growth. Again, I think they're showing some pretty buoyant up performance as far as, as far as banking performance is concerned. I think the beast that's particularly interesting. And I think Kim is a bit of a surprise to most, uh, is, is what we've seen in the U S right? >>And in the U S what's actually happened is, uh, the investment banking side of banking businesses has been doing better than they've ever done before. There's been the most unbelievable amount of acquisition activity. You've seen a lot of what's going on with the specs that's driving the res you know, deal based fee income for the banks, the volatility in the marketplace, meaning that trading income is much, much higher than it's ever been. And therefore the banks are very much seeing a profitability on that investment banking side. That was way ahead of what I think they were, they were expecting. Consumer business is definitely down. If you look at the credit card business, it's down, if you look at, uh, you know, lending activity, that's going down, going out, it's substantially less than where it was before. There's hardly any lending growth because the economy is flat at this moment in time. >>But again, the good news that, and I think this is a worldwide, but you're not just in the us. The good news here is that because of the liquidity and some of them are special mentions that government put out that there has not been, uh, the, the level of bankruptcies that people were expecting. Right. And that for most of the provisioning that the banks did, um, in expectation of non-performing loans has been, I think, a much more, much greater than what they're going to need, which is why you're starting to supervision is being released as well, which I kind of flattering, flattering the income flattering. I think going forward though, you're going to see a different picture. >>It's the, thank you for the clarification on the regional divergence is that you're right on, I mean, European central banks are, are not the same, the same position, uh, to, to affect liquidity, but is that nuance, is that variation across the globe? Is that, uh, is that a blind spot? Is that a, is that a, a concern, uh, or the other, other greater concerns, you know, inflation and, and, and the, the, the pace of the, the return to the economy. What are your thoughts on that? >>So I think, I think the, um, the, the, the concern, um, you know, as far as the European marketplace is concerned is, um, you know, whether the, the performance that in particularly, I don't think the level of Verition in there was quite as generous as we saw in other parts of the world. And therefore, um, you know, ease the issue around non-performing loans in, in Europe going to hold the European, uh, European banks back. And are they going to, you know, therefore constrained them under lending that they put into the economy. And that then, um, you know, reduces the level of economic growth that we see in Europe. Right. I think, I think that is certainly that is certainly a concern. Um, I would be surprised and I've been looking at, you know, forecasts that have been brought forward by various people around the world around infection. >>I would be surprised if inflation starts to become a genuine problem in the, in the kind of short to medium term. I think in the industry that are going to be two or three other things that are probably going to be more, you know, going to be more issues. Right. I think the first one, which is becoming top of mind for chief executives is this whole area around operational resiliency. So, you know, regulators universally are making very, very sure that banks do not have a technical debt or a complexity of legacy systems issue. They are. And, you know, the UK has taken the lead on this and they are going so far as even requiring non-executive directors to be liable. If banks are found to not have the right policies in place, this is not being followed by other regulators around the world. Right. So, so that is very much top of mind at this moment in time. >>So I think discretionary investment is going to be, uh, you know, to watch, um, uh, solving that particular problem. I think that that's one issue. I think the other issue is what the pandemic has shown is that, and, and, and this was very evident to me. I mean, I spent the last three years out in Singapore where, you know, banks have become very digital businesses. Right. When I came into the U S in my current role, it was somewhat surprising to me as to where the U S marketplace was in terms of digitization of banking. But if you look in the last 12 months, uh, you know, I think more has been achieved in terms of banks becoming digital businesses. And they've probably done in the last two or three years. Right. And then the real acceleration of that, uh, digitalization, which is going to continue to happen. But the downside of that has been that the threat to the banking industry from essentially fintechs and big decks has exactly, you know, it's really accelerated. Right, right. I mean, just to give you an example, pay Pat is the second largest financial services institution in the us, right. So that's become a real problem of my English. The banking industry is going to have to deal with, >>I want to come back to that, but now let's bring John into the conversation. Let's talk about the tech stack. Look, it was talking about whether it was resiliency going digital. We certainly saw with the pandemic remote work, huge, huge volumes of things like PPP and, and, and, and, and mortgages and with dropping rates, et cetera. So, John, how has the tech stack been altered in the past 14 months? >>Great question, Dave and it's top of mind for almost every single financial services firm, regardless of the sector within the overall industry, every single business has been taking stock of how they handled the pandemic and the economic conditions thereafter, and all of the business needs that were driven by the pandemic. In so many situations, firms were unable to service their clients or were not competitive in serving their clients. And as a result, they've had to do very deep, uh, uh, architectural, uh, transformation and digital transformation around their core platforms, their systems of analytics and their systems, their front end systems of engagement in terms of, uh, the core processing systems that many of these institutions, some in many cases, they're 50 years old. And with any 50 year old application platform, there are inherent limitations as an inflexibility and flexibility as an inability to innovate for the future as a speed of delivery issue. In, in other words, it can be very hard to accelerate delivery of new capabilities onto an aging platform. And so in every single case, um, institutions are looking to hybrid cloud and public cloud technology, and pre-packaged AI and pre-packaged solutions from an ISV ecosystem of software vendor ecosystem to say, as long as we can crack open many of these old monolithic cores and surround them with new digitization, new user experience that spans every channel and automation from the front to back of every interaction, that's where most institutions are prioritizing. Yep. >>Banks, aren't gonna migrate. Uh, they're gonna, they're going to build a abstraction layer. I want to come back to the disruption is so interesting. You had the Coinbase IPO last month, see Tesla and micro strategy. They're putting Bitcoin on their balance sheets. Jamie diamond says traditional banks are playing a smaller role in the financial system because of the new fintechs. Look at, you mentioned PayPal, the Stripe does Robin hood. You get the Silicon Valley giants have this dual disruptive disruption agenda, Apple, Amazon, even Walmart, Facebook. The question is, are traditional banks going to lose control of the payment systems? >>Yeah, I mean, I think to a large extent that is, that is already happened, right? Because I think if you look at, if you look at the experience in Asia, right, and you look at particularly organizations like iron financial, uh, you know, in India, you look at organizations like ATM the, you know, very substantial trends, particularly on the consumer payment side has actually moved, uh, away from the banks. And I think you're starting to see that in the West as well, right. With organizations like, you know, cloud. Now that's coming out with this, um, you know, pay, you know, buying out the later type of schemes. You've got and then, so you've got PayPal. And as you said, Stripe, uh, and, and others as well, but it's not just, um, you know, in the payment side. Right. I think, I think what's starting to happen is that, that are very core part of the banking business, you know, especially things like lending, for instance, where again, you are getting a number of these, um, fintechs and big, big tech companies entering the marketplace. >>And I, and I think the threat for the banks is, and this is not going to be small chunks of market share that you're going to actually lose. Right. It's, it's, it's actually, uh, it could actually be a Kodak moment. Let me give you an example. Uh, you know, you will have just seen that grab is going to be acquired by one of these facts for about $40 billion. I mean, this organization started like the Uber in Singapore. It very rapidly got into both the payment side, right? So it actually went to all of these mom and pop shops and it offered QR based, um, go out code based payment capabilities to these very small retailers. They were charging about half or a third of what MasterCard or visa were charging to run those payment routes. They took market share overnight. You look at the remittance business, right? >>They, they went into the remittance business, they set up these wallets in 28 countries around the ICR and region. They took huge chunks of business completely away from DBS, which is the local bank out there from Western union and all of these, all of these others. So, so I, I think it's a real threat. I think Jamie Dimon is saying what the banking industry has said always, right? Which is the reason we are losing is because the playing field is not even, this is not about playing fields and even right. All of these businesses have been subject to exactly the same regulation that the bank shop subject to regulations in Singapore and India, more onerous than maybe in other parts of the world. This is around the banking business, recognizing that this is a threat. And exactly, as John was saying, you got to get to delivering the customer experience. >>That juniors are wanting at the level of pasta they're prepared to pay. And you're not going to do that by purely shorting out the channels and having a cool app on somebody's smartphone. Right? If that smartphone is 48 by arcade processes and legacy systems, where can I apply? You know, like, like today, you know, you make a payment, your payment does not clear for five days, right? Whereas in Singapore I make a payment, the payment is instantaneously cleared, right? That's where the banking system is going to have to get to in order to get to that. You need to order the whole stack. And the really good news is there are many examples where this has been done very successfully by incumbent banks. You don't have to set up a digital bank on the side to do it. An incumbent bank could do it, and it can do it in a sense of a period of time, or does sense for level of investment. A lot of IBM's business across our consulting, as well as our, our technology stack is very much trying to do that with our clients. So I am personally very bullish about what the industry >>Yeah. I mean, taking friction out of the system sometimes with the case of crypto taking the middle person out of the system. But I think you guys are savvy. You understand that, you know, like, yeah, Jamie diamonds a couple of years ago said, he'd fire anybody doing crypto Janet Yellen and says, ah, I don't really get it. You know, Warren buffet. But I think as technology people, we look at it and say, okay, wait a minute. This is an interesting Petri dish. There's, there's fundamental technology here that has massive funding that is going to inform, you know, the future. I think, you know, big bags are gonna lean in some of them and others, others. Won't, uh, John, give you the last word here, >>But for sure they're leaning in. Uh, so to just, to, to, to think about, uh, uh, something that Likud said a moment ago, the reason these startups were able to innovate fast was because they didn't have the legacy. They didn't have the spaghetti lying around. They were able to be relentlessly laser focused on building new, using the API ecosystem, going straight to public and hybrid cloud and not worrying about everything that had been built for the last 50 years or so. The benefit for existing institutions, the incumbents is that they can use all of the same techniques and tools and hybrid cloud accelerators in terms. And we're not just thinking about, um, uh, retail banking here, your question around the industry, that disruption from Bitcoin, blockchain technologies, new ways of processing securities. It is playing out in every single securities processing and capital markets organization. Right now I'm working with several organizations right now, exactly on how to build custody systems, to take advantage of these non fungible digital assets. It's a hot, hot topic around which there's, uh, incredible, uh, appetite to invest an incredible appetite to innovate. And we know that the center of all these technologies are going to be cloud forward cloud ready, AI infused data infuse technologies. >>So I want to have you back. I wish you had more time. I want to talk about specs. I want to talk about NFTs. I want to talk about technology behind all this really great conversation and really appreciate your time. I'm sorry. We got to go. >>Thank you. Thanks so much indeed, for having us. >>Oh, really? Pleasure. Was mine. Thank you for watching everybody. This is Dave Volante for IBM. Think 2021. You're watching the cube.

(soft music) >> Hi everyone. And welcome to this special cube conversation and kickoff preview of the Mobile World Congress Barcelona event. It's a physical event that's going to be taking place in person. It will probably be the first hybrid big event 68 days until the June 28th kickoff. You might've heard TelcoDr, Telco disruptor. Is on a mission to move the telco industry to the public cloud. And, and, and it's been taken of one of the biggest spaces this year from Erickson is the big story everyone's talking about. And of course the CUBE is excited to be there and broadcast and be a partner with TelcoDr. So I'm excited to bring on the founder and CEO of TelcoDr. Danielle Royston. Danielle great to see you. Thanks for coming on for this Mobile World Congress preview. >> Thank you so much for having me. I'm psyched to talk to you about this, its going to be great. >> So Erickson always has the biggest booth 14 years. You're disrupting the Barcelona not people's shorts going to be on or off. It's officially on, it's happening. And there's going to be a physical event we're coming out of COVID still a risky move. It's going to be a big hybrid event. It's going to be in person. Tell us the story. How did you guys come out of nowhere a disruptor take the biggest real estate in the place and turn it into a community event. A news event, immediate event, everything tell us. >> Yeah, well, you know, I think it was March 9th a little over a month ago. Ericsson announced that they were pulling out of MWC and it's very analogous to what happened in 2020. They were one of the first vendors to bail as well. And it kind of started this like tidal wave of people saying, can't do it. And I think the distinction now is that, that was at the beginning of COVID. There was a lot of unknowns, you know, is it coming? Is it not? Is it safe? Is it not? We're now, you know, year 50 to three, four months into it. I think that when you look at where we are now cases are trending down. The vaccine is up. And I think the legacy players were sort of backward looking they're like, this is a repeat of 2020. We're going to, it's not safe to go. We're going to pull out. And I'm like with a hundred days to go. And the vaccine ramping, I think I see it a different way. I think there's a really big opportunity. John Hoffman, CEO of the GSMA had put out a two page missive on LinkedIn where he was personally responding to questions about how serious they were about making sure that the event was safe and could be held. And my, my view was this is going to happen. And with Ericsson pulling out, I mean this is hollowed ground. I mean, this is, you know, a, you know, massively successful company that has customers literally trained like Skinner's chickens to come to the same spot every year. And now I get to, you know, put out my shingle right there and say welcome and show them the future , right? And instead of the legacy past and all the normal rhetoric that you hear from those you know, sort of dinosaurs, Ericsson and Nokia now they're going to hear about the public cloud. And I'm really excited for this opportunity. I think the ROI on this event is instant. And so it was, it was a pretty easy decision. I think I thought about it for about 30 seconds. >> It's a real bold move. And it's, again, it's a risk that pays off if it happens, if it doesn't, you know, you didn't happen but you're like, it's like a, it's like the the startups that put a Superbowl commercial for the first time, it's a big hit and it's a big gamble that pays off huge. Take us through, I heard, how did it all happen? Did you just wake up and saw it was open? How do you know that it was open? Was it like, does the email go out, say hey I've got this huge space for >> Well, I mean, it was big news. It was big news in the industry that they were pulling out and all the journalists were like, Oh, here we go again. You know, everyone's going to bail, who who's next right? And, and everyone was sort of like building that sort of negative momentum energy. And I'm like, we got to squash this. So I put out a tweet on Twitter. I mean, I'm not the most followed person but I'm kind of known in telco. And I was like, hey GSMA, I'll take over the booth. And I don't think people even liked my tweet, right? Like no likes no retweets. I reached out to a couple of journalists. I'm like, let's do an interview. Let's do a story. Everyone's like, we'll have you on the podcast like in a month, I'm like what?! So, so when John Hoffman had put out that letter I had connected to him. And so I was like, Oh, I'm connected to the CEO of the GSMA. So I went out on LinkedIn and I referenced the story and I said, John Hoffman, I'll take over the booth. And I think about 30 minutes later he responded and said, let's do it. And I said, great, who do I talk to? And I was in touch with someone within a couple of hours. And I think we put the whole deal together in 48. And I think wrote the press release and announced it on Friday. So happened on Tuesday the ninth, announced by that Friday. And I really, I was like, GSMA, we've got to get this out. And we got to stop the negative momentum of the show and get people to realize it's going to be different in June. This is going to happen. Let's go do it. And so I think they are they're psyched that I stepped into the booth it's big booth it's 65,000 square feet, 6,000 square meters for for the rest of the World that use it, the metric system. And I mean, that's huge. I mean, that's the size of a professional pitch in a in a football field, a soccer field. That's a one and a half football fields. It's, it's a ton of space. It's a ton of space pull off. >> I think what's interesting is there's a points out that this new business model of being connected you were on LinkedIn, you connect to them you get a deal done so fast. This is how this is the direct to consumer as a start-up you're literally took over the primo space the best space in the area. So congratulations. And, and the other thing that's notable and why I'm excited to talk to you is that this kind of sets the table for the first global what I call hybrid event. This will probably be a cornerstone case study in and of itself because we're still kind of coming out of the pandemic. People are getting vaccinated. People want to fly. They want to get out of the house, were partnering with the CUBE and the CUBE 365 platform. And, you know, we'd love hybrid. We'd love doing events, theCUBE that's what we do with video. Now, we're going to do a partnership with you to create this hybrid experience. What can people and guests who come to Barcelona or watch remotely expect? >> Yeah, so I think there's a couple of experiences that we're trying to drive in the booth. I think obviously demonstrations, you know I can't fill 65,000 square feet on my own. I'm a startup small company. And so I am inviting like-minded forward thinking companies to join me in the booth. I'm, I'm paying for it providing a turnkey experience for those vendors. And so I think what we have in common is we're thinking about future technologies, like open ran on the network side and obviously public cloud which is a big part of my message. And so first and foremost, foremost, there's, you know come and see the companies that are driving the change the new technologies that are out there and what's available for, for carriers to start to adopt and think about. MWC is a meeting intensive event. Deals are done at this show. In 2019, I think the stat is $65 billion of deals were put together at the show. And so a big component of the booth will be a place for executives to come together and have private conversations. And so we're going to have that. So that's going to be a big piece of it. And I think the third part is driving education and thought leadership. And so there's going to be a whole, you know, talk track right? Tech topics, business topics customer case studies involve the hyperscalers and really start to educate the telco community around these new technologies. But there'll be shorter talks. They won't be like hour long keynotes. We're talking 15, 20 minutes. And I think one thing that we're going to do with you as you were just talking about with theCUBE is, you know MWC was the first big show to have to cancel with COVID I think in 2019, sorry, 2020, the the dates it's always the last Monday in February and and the rest of that week. And so that's like right at the beginning of that of the COVID stuff, Italy was just starting to take off. So it was one of the first shows that had to make a big call and decide to cancel, which they did. This is going to be one of the first shows that comes back online, post COVID right? And so I don't think things just snap back to the way that they used to be. I don't think we, as consumers are going to snap back to the way that we operating we're now used to being able to get curbside delivery from any restaurant in the city, right. I mean, it's just, it's just a sort of a different expectation. And so partnering with theCUBE, we really want to provide an experience that brings the virtual people into the booth. Typically in events like this you really have to be there to see it boosts are kind of like unveiled the day of the show. What's going on. One thing I'm trying to do is really educate people about what you can expect. What can you see? This is what it's going to look like. And so we're going to start to share some pictures of the booth of, of, you know, what it looks like. Number one, to drive excitement with the partners that are coming, right. Like you're going to be part of something really, really fabulous. I think number two attendees can wait, I don't know week of to make the decision to go. And so maybe if COVID continues to trend down and vaccines are, are picking up steam, maybe they're like it's safe for me to go and I want to go be a part of that. But I think from here on out we're going to have sort of that virtual experience. It's always going to be part of shows. And so we're going to experiment with you guys. We're going to have a live streaming event over the course of the, you know, all MWC. It's going to be a way for people who are unable to travel or, you know, can't afford it. COVID or whatever, see what's going on in the booth. And it's going to be everything from listen to a talk to watch what you guys are typically famous for, your awesome interviews. We're going to have a man on the street, you know, like you know, we're here at, at a demo station, take us through your little demo. We're going to have telepresence robots that people can reserve. And, you know, cruise to the booth, the robot can go to a talk. The robot can watch on this streaming thing the robot can go to a demo. The robot can go to a meeting and it's controlled by the the virtual attendees and so experimenting, right? Like how do we make this great for virtual people? How do we make the virtual people feel part of the physical? How do the physical people feel? The virtual people that are attending and really just make it feel like a community of both. So really excited >> That's super awesome. And I think one of the, first of all, thank you for having paying for everyone and including theCUBE in that but I think this speaks to the ecosystem of open you're bringing, you're creating an open ecosystem. And I think that is a huge thing. So for people who are at Mobile World Congress in Barcelona this is going to be a nice, safe place to hang space as well as get deals done and to be comfortable doing media center, we'll get you on the digital TV, but also you're also designing the first what I call the first hybrid experience not just having people, having on-demand videos on their website, connecting Barcelona with other parts of the World, with meetings and stories and content. I think that to me is going to be a great experiment slash upgrade. We'll see, we'll get to see it. >> Well, it was really, I mean, we all lived through 2020. I mean, some of the shows went on AWS's re-invent happened. Google did like a crazy nine week program. It's very lonely to participate in those virtual events right. You know, you kind of log on by herself. No, one's really tweeting about it. You're watching, you know, an event the event is great, but it was really lonely. And so, you know, and I think what people love about the physical events is we're together and we're networking and we're meeting people. And so, you know, I think continue to evolve that experience so that virtual is not as lonely. So we'll see, we'll see how it goes. >> No, I've got to say your, your vision is really aligned with us and others that are in this open innovation World. Because if you look at like theCUBE physical went away, we had no events. We did Q virtual, a new brand. It wasn't a pivot. It was an extension, a line extension of theCUBE. Now theCUBES coming back to the physical. We're going to bring that cube virtual to connect everybody. So this is it. And it just amplifies the value of the physical event. So if done right, is so much cooler. So, so that's cool. And what I want to ask you though on the physical side to kind of bring it back to physical is there's still going to be keynotes. There's still going to be talks at Mobile World Congress. And so I saw that schedule and I just saw last week GSMA announced you're going to be doing a keynote speech. That's amazing. So how did that happen? So give us the lowdown on the keynote that you're doing. >> I'm sure the entire industry is like that happened. And it probably has something to do with the back that I have one of the biggest booths at the space. I always, you know, put in a request to speak. I feel that I have really exciting message to share with the industry. Over the last I guess it's been 9 or 10 months. I really been trying to amplify, amplify my voice. I have a podcast, I have a newsletter I'm talking to execs. I have a list that I literally go down one by one stalking each executive of like have I talked to them like how I told them about like the power of the public cloud. And so I am super thankful that I have this opportunity to spread that this message and I'm, I'm planning a really epic talk, just I really want to shake the industry. And this is, this is my opportunity, right? This is my opportunity to stand on the biggest stage in our industry. And command a presence and send out my message. And I'm absolutely thrilled to go do it. And I hope I crush it. I hope it's like a mic drop experience and can't wait to do it. >> Well, we're looking forward to covering it. And we love the open vision. We love the idea of public cloud and the enablement and the disruption, because just like you got the deal so fast, you can move fast with modern applications with the cloud moving at cloud scale, complete content, game changer, so great stuff. So totally applaud that looking forward to, and we're we're here to cheer you on and, and and ask the tough questions. I do want to get to on Twitter yesterday though, you put out on tweetstorm on Twitter, about the plans kind of teasing out the booth. How you going to plan to build the booth, are you worried that you're opening up too much of the kimono here and opened up putting too much on the table because it's usually a secret Mobile World Congress is supposed to be secret, not publicly out there. What, what's the, you know >> Well, I mean, I think this is just a little bit of a change has happened post COVID, right. You know, people usually build their booth in and don't reveal it until the first day of the show. And it's kind of like this excitement to go see what is there, what's their big message. And what's the big reveal. And there's always fun stuff. I think this year is a little bit different. So at first, like I said, at first big event back. I think I need to create a little bit of excitement for people who are going and maybe entice people that maybe you should think about coming. I realize this is a super personal decision, right? It depends on where you are and the country and your, your health and your status. But, but if you can do it I want people to know that you're going to miss out. It's going to be super fun. So, um, so yeah. >> Well, let's take it. Let's take a look at the booth though. And that's why my next question, I want to see I know we have guys, do we have that, rendering, let's pull that up and let's talk this through. Let's go look at the rendering. So you can see here on the screen, take us through this. >> Yeah. So what we want to do is give the sense of, of cloud city, right? And that's what we're calling this space in cloud cities. There's in a city there's outdoor space. Like you see here, and then there's in indoor space. And indoors is for you where you work, where you buy, where you meet. And so you can see here on the left, the demo stations that would have different vendors displaying you know, and it kind of, it goes way back. I mean, what we're feeling like I said is like a football field, an American football field and the half or a European football field a pitch it's pretty, it's pretty extensive. And so we think we're going to have, I don't know, 20 30 vendors showing their, their different software. I think we're, we're scheduling or planning for about 24 different meeting rooms that we can schedule all COVID safe with the, with the space requirements in there, but on the out in that outdoor space, it would be where you learn right. The education and then I think we're going to have this fabulous booth for the, for theCUBE. It's going to look, It's just so amazing with the backdrop of this amazing building. And, you know, I think I underappreciated or didn't really realize, you know, how devastated the both the event planning industry has been from COVID as well as construction. You know, obviously when events were shut down these companies had to lay off thousands of workers. Some of the big firms have laid off 50% of their workforce. And those people, you know they didn't just go home and sit around. They, they had to come up with a livelihood and this people have pivoted into another job. And they're not really, I mean events aren't really back yet. So some of these firms are shrunk. You know, the manpower is, is severely reduced. But then I think on the other side is and you can see this in just housing construction. There's a lumber shortage, there's a shortage of materials. And so everything that we source for the booth pretty much has to come from Spain. And so when we look at the booth, you know, we have, we have a pretty significant ceiling. Well, it looks like the roof of the building. It's an engineering feat to do. That we're still working through the sure. Someone with a protractor is doing lots of math. You know, the glass, we have those huge beautiful glass spans in the front getting a glass that spans that height. I think it's, I think it's 18 feet. It's six meters tall. That's going to be hard things like the flooring. I want to have like hardwood, laminate flooring. So it looks like hardwood floors. Don't know if we can find them right there. Like, why don't you do carpet? I'm like, can you just check one more vendor? I really want my floor. So, so we'll see how it goes. And yeah, I, I think that sharing this plan, the trials and tribulations, like how can this small startup, right? That usually, you know, take over a space that usually takes nine months to plan, right? Who is this girl? What is she doing? How are they going to pull this off? You know, I think it's like, grab your popcorn and watch the train wreck or, you know, hero's journey. We get it done. >> Well, people are on clubhouse. They're bored, they want to get out. I think this is a case study. Mobile World Congress has a huge economic impact for the, as a show it's got its own little economy built around it. Impacts the, the country of Spain in Barcelona, the city, a great city. People love it. And so it certainly is notable and newsworthy. We will be following that story. I have to ask you more of a, kind of a tactical question. If you don't mind, while I have you here, can you talk about some of the vendors that are coming and the kinds of talks you're going to have inside the booth and and how do people get involved? You mentioned it's open to people who love open ran and open public cloud, open technologies. I mean, that's pretty much everybody that's cool and relevant, which is like almost the whole World now. So like, is it going to be a space, is there a criteria? How do people get involved? What's the collaboration formula. >> Yeah, no. I had been working on putting together a list of potential vendors. You'd be surprised, not everyone is, is as bullish as I am on the public cloud. And so there was a little bit of a filtering criteria, but otherwise anyone can come right enterprise software vendors in telco where their primary customer is a communications service provider. That's their software runs on the public cloud come on in, right. People using open man. And it's still a little sort of small band of cohorts that are really trying to drive this new technology forward. And, and they're growing up, going up against some of the biggest companies in telco, right? They're going up against Huawei. They're going up against Ericcson. Both those guys are, are very anti and then not really pro open rank because it's hugely disruptive to their business. And so, you know I'm pretty sure those guys are not psyched to see open ran you know, you know, become a thing in telco. And so it's really sort of about disruptive technologies that are that are in the, in the booth. And so, yeah, I'm paying for the space. I'm paying for the, build-out bring your demos bring your people, come with your marketing message and and let's, and let's build a community. And so we're talking to open ran vendors like Mavenir. Which is a pretty big name in the open ran, open ran space. I've been talking with parallel wireless and LTO star. Those are also great players, software vendors like Totogi, which is a talk that I did a little over a month ago about this new startup that has a web-scale charger that they're trying to put out there. Aria is another company that I'm really familiar with that has some cloud for software and then little tiny startups like Zquence, and some other up-and-comers that no one's heard of. So we're really excited to invite them into the booth. I've been secretly stalking Elon, Elon Musk and Starlink and SpaceX to be a part of it. And we'll see, right. I'm kind of, you know, using Twitter and whatever I can to, to reach out and see if they want to be a part of it. But yeah, it's kind of really open arms, not really excluded. >> Oh, Elon, Elon is very disruptive and you know, he reached out on, you can reach out to him on Twitter. He's accessible. I mean, you've got to break through, but he is got this antenna up for innovators. People who think differently. They love people who break down walls and markets floor open wins. I mean, we, we know there's a history we've been covering it. I've been involved in my career. People who bet against open, always lose it's happened in every single wave of innovation. So Elons gettable, lets get him. >> Who doesn't love Elon Musk. I mean, I think some people don't, I love him, he's my hero. I model a lot of the things that I do around, around his, his approach, his vision, right, 20 years ago or close to 20 years ago, 2003 he said he was going to put people on Mars. And I think people laughed at him for being like the PayPal guy and this guy's crazy. But every year he makes progress against his goals, right. We have a real landable rocket. He's doing a manned mission this week, a second man mission or third man mission. And the guy makes progress. And I think I'm on the same, same mission here. My mission is to move telco to the public cloud. I think it's a, it's a long journey, right? I think people are like, who's this girl and she's like 12 people, and what's your story? And I'm like, I don't care. I have a singular mission is a quest. I am not going to stop until I moved the industry to the public cloud. And I it's my life's mission. And I'm psyched to do it. >> Well, we love the mojo. We'd love your style. We'd love Elon Musk, his mugshot. And again, just to bring the dots together you have that same mindset, which has, you know, as people you know, love her, love or like Elon, he's a builder. Okay, he builds things and he delivers. So as you said, so know I really appreciate the work you're doing. I love your philosophy. We're in total agreement, open, open building. Doing it together as a collective, being part of something. This is what the World needs. You got a lot of great ideas in the works and we can't wait to hear them. And what you got coming up over the next 68 days. This is the first of many conversations together. Thank you so much >> Yeah, yeah, no, it's going to be so awesome. Thank you so much for having me. Psyched to talk to you about it. >> Okay Mobile World Congress is happening in Barcelona on the June 28th. It's going to be in person and it's going to be probably the biggest hybrid event to date. Be there, check out telcoDR and theCUBE and the space that they took over 14 years at the helm there. Ericcson had it, now it's TelcoDR. Danielle Royston, founder and CEO here with me from TelcoDR. Thanks for watching. (soft music)

(upbeat music) >> Hi everyone, welcome to this special CUBE conversation and kickoff preview of the Mobile World Congress, Barcelona event. It's a physical event that's going to be taking place in person. It will probably be the first hybrid big event, 68 days until the June 28th kickoff. You might've heard TelcoDR, Telco Disruptor is on a mission to move the Telco industry to the public cloud. And it's taken one of the biggest spaces this year from Ericsson, is the big story everyone's talking about. And of course theCUBE is excited to be there and broadcast and be a partner with TelcoDR. So I'm excited to bring on the founder and CEO of TelcoDR, Danielle Royston. Danielle great to see you. Thanks for coming on for this Mobile World Congress Preview. >> Thank you so much for having me. I'm psyched to talk to you about this, it's going to be great. >> So Ericsson always has the biggest booth 14 years, you're disrupting Barcelona, people are not sure it's going to be on or off. It's officially on, it's happening and there's going to be a physical event, we're coming out of COVID still a risky move. It's going to be a big hybrid event, it's going to be in person. Tell us the story. How did you guys come out of nowhere, a disruptor take the biggest real estate in the place and turn it into a community event, a news event, a media event, everything, tell us. >> Yeah, well, I think it was March 9th, a little over a month ago. Ericsson announced that they were pulling out of MWC and it's very analogous to what happened in 2020. They were one of the first vendors to bail as well. And it kind of started this like tidal wave of people saying, can't do it. And I think the distinction now is that, that was at the beginning of COVID, there's a lot of unknowns. Is it coming, is it not, is it safe, is it not? We're now, year 50 to three, four months into it. I think that when you look at where we are now, cases are trending down, the vaccine is up. And I think the legacy players were sort of backward looking. They're like, this is a repeat of 2020 it's not safe to go, we're going to pull out. And I'm like with the a hundred days to go, in the vaccine ramping, I think I see the different way. I think there's a really big opportunity. John Hoffman, CEO of the GSMA had put out a two page missive on LinkedIn where he was personally responding to questions, about how serious they were about making sure that the event was safe and could be held. And my view was this is going to happen. And with Ericsson pulling out, I mean this is hollowed ground. I mean, this is massively successful company that has customers literally trained like Skinner's chickens to come to the same spot every year. And now I get to put out my shingle right there and say welcome and show them the future. And instead of the legacy past and all the normal rhetoric that you hear from those sort of dinosaurs, Ericsson and Nokia, now they're going to hear about the public cloud. And I'm really excited for this opportunity. I think the ROI on this event is instant. And so it was a pretty easy decision. I think I thought about it for about 30 seconds. >> It's a real bold move. And again it's a risk that pays off if it happens, if it doesn't, didn't happen, but it's like the startups that put a Superbowl commercial off for the first time. It's a big hit and it's a big gamble that pays off huge. Take us through, how did it all happen? Did you just wake up and saw it was open? How did you know that it was open? Was it like, does an email go out and say, hey I got this huge space for 55 years. >> Well, I mean, it was big news. It was big news in the industry that they were pulling out and all other journalists were like, oh, here we go again. Everyone's going to bail, who's next, right? And everyone was sort of like building that sort of negative momentum energy. And I'm like, we got to squash this. So I put out a tweet on Twitter. I mean, I'm not the most followed person but I'm kind of known in Telco. And I was like, hey, GSMA, I'll take over the booth. And I don't think people even liked my tweet, right? Like no likes no retweets. I reached out to a couple of journalists. I'm like, let's do an interview, let's do a story. Everyone's like, we'll have you on the podcast, like in a month, I'm like, what's? So when John Hoffman had put out that letter I had connected to him. And so I was like, oh, I'm connected to the CEO of the GSMA. So I went out on LinkedIn and I referenced the story and I said, John Hoffman, I'll take over the booth. And I think about 30 minutes later he responded and said, let's do it. And I said, great, who do I talk to? And I was in touch with someone within a couple of hours. And I think we put the whole deal together in 48. And I think wrote the press release and announced it on Friday. So happened on Tuesday the 9th, announced by that Friday. And I really, I was like, GSMA, we've got to get this out, and we got to stop the negative momentum of the show, and get people to realize it's going to be different in June. This is going to happen, let's go do it. And so I think they're psyched that I stepped into the booth. It's a big booth it's 65,000 square feet. 6,000 square meters for the rest of the world that use the metric system. And I mean, that's huge. I mean, that's the size of a professional pitch in a football field, a soccer field. That's a one and a half football fields. It's a ton of space, it's a ton of space to fill up. >> I think what's interesting, as this points out that this new business model of being connected you were on LinkedIn, you connect to them, you get a deal done so fast. This is the direct to consumer as a start up, you're literally took over the Primo space, the best face in the area, so congratulations. And the other thing that's notable and why I'm excited to talk to you is that this kind of sets the table for the first global, what I call hybrid event. This will probably be a cornerstone case study in and of itself, because we're still kind of coming out of the pandemic. People are getting vaccinated, people want to fly, they want to get out of the house. You're partnering with theCUBE, and the CUBE 365 platform. And we love hybrid, we love doing events, theCUBE, that's what we do with video. Now, we're going to do a partnership with you to create this hybrid experience. What can people and guests who come to Barcelona or watch remotely expect? >> Yeah so, I think there's a couple of experiences that we're trying to drive in the booth. I think obviously demonstrations, I can't fill 65,000 square feet on my own. I'm a startup small company. And so I am inviting like-minded, forward thinking companies to join me in the booth. I'm paying for it providing a turnkey experience for those vendors. And so I think what we have in common is we're thinking about future technologies, like open ran on the network side and obviously public cloud which is a big part of my message. And so first and foremost, come and see the companies that are driving the change, the new technologies that are out there, and what's available for carriers to start to adopt and think about. MWC is a meeting intensive event. Deals are done at this show. In 2019, I think the stat is $65 billion of deals were put together at the show. And so a big component of the booth will be a place for executives to come together and have private conversations. And so we're going to have that. So that's going to be a big piece of it. And I think the third part is driving education and thought leadership. And so there's going to be a whole talk track, right? Tech topics, business topics, customer case studies, involve the hyperscalers, and really start to educate the telco community around these new technologies. But there'll be shorter talks. They won't be like hour long keynotes. We're talking 15, 20 minutes. And I think one thing that we're going to do with you as you were just talking about with the CUBE is, you know, MWC was the first big show to have to cancel with COVID, I think in 2019, sorry, 2020, the dates, it's always the last Monday in February and the rest of that week. And so that's like right at the beginning of the COVID stuff, Italy was just starting to take off. And so it was one of the first shows that had to make a big call and decide to cancel, which they did. This is going to be one of the first shows that comes back online post COVID, right? And so I don't think things just snap back to the way that they used to be. I don't think we as consumers are going to snap back to the way that we were operating, we're now used to being able to get curbside delivery from any restaurant in the city. I mean, it's just a sort of a different expectation. And so partnering with the CUBE, we really want to provide an experience that brings the virtual people into the booth. Typically in events like this, you really have to be there to see it. Booths are kind of like unveiled the day of the show, what's going on. One thing I'm trying to do is really educate people about what you can expect. What can you see? This is what it's going to look like. And so we're going to start to share some pictures of the booth of what it looks like. Number one, to drive excitement with the partners that are coming, right? Like you're going to be part of something really, really fabulous. I think number two, attendees can wait, I don't know week off, to make the decision to go. And so maybe if COVID continues to trend down and vaccines are picking up steam, maybe they're like it's safe for me to go and I want to go be a part of that. But I think from here on now we're going to have sort of that virtual experience. It's always going to be part of shows. And so we're going to experiment with you guys. We're going to have a live streaming event, over the course of all MWC. It's going to be a way for people who are unable to travel or can't afford it, COVID or whatever, see what's going on in the booth. And it's going to be everything from listen to a talk, to watch what you guys are typically famous for, your awesome interviews. We're going to have man on the street, like we're here at at a demo station, take us through your little demo. We're going to have telepresence robots that people can reserve. And cruise through the booth the robot can go to a talk. The robot can watch on this streaming thing, the robot can go to a demo. The robot can go to a meeting and it's controlled by the the virtual attendees. And so experimenting, right? Like how do we make this great for virtual people? How do we make the virtual people feel part of the physical? How do the physical people feel the virtual people that are attending and really just make it feel like a community or both. So, we're excited. >> That's super awesome, and first of all, thank you for having paying for everyone and including theCUBE in there. But I think this speaks to the ecosystem of open, you're creating an open ecosystem. And I think that is a huge thing. So for people who are at Mobile World Congress in Barcelona this is going to be a nice, safe place to hang space as well as get deals done. As we comfortable doing media center, we'll get you on the digital TV, but also you're also designing what I call the first hybrid experience, not just having people, having on-demand videos on their website, connecting Barcelona with other parts of the world, with media and stories and content. I think that to me is going to be a great experiment slash upgrade. We'll see, we'll get to see it how it goes. >> Well, it was really, I mean, we all lived through 2020. I mean, some of the shows went on, AWS's re-invent happened, Google did like a crazy nine week program. It's very lonely to participate in those virtual events. You kind of log on by ourselves. No one's really tweeting about it. You're watching an event, the event is great but it was really lonely. And so I think what people love about the physical events is we're together and we're networking and we're meeting people and so, I think continuing to evolve that experience so that virtual is not as lonely. So we'll see, we'll see how it goes. >> I got to say your vision is really aligned with us and others that are in this open innovation world. Because if you look at like theCUBE, physical went away, we had no events, we did CUBE Virtual, a new brand. It wasn't a pivot, it was an extension, a line extension of theCUBE. Now theCUBE's coming back to the physical, we're going to bring that CUBE Virtual to connect everybody. So this is it, and it just amplifies the value of the physical event. So if done right, it's so much cooler. So that's cool. And what I want to ask you on the physical side to kind of bring it back to physical is, there's still going to be keynotes, there's still going to be talks at Mobile World Congress, and so I saw that scheduled and I just saw last week, GSM may announced you're going to be doing a keynote speech. That's amazing, so, how did that happen? So give us the lowdown on the keynote that you're doing. >> I'm sure the entire industry is like that happened. And it probably has something to do with the fact that I have one of the biggest booths at the space. I always put in a request to speak. I feel that I have a really exciting message to share with the industry. Over the last, I guess it's been nine or 10 months, I really been trying to amplify my voice. I have a podcast, I have a newsletter, I'm talking to execs. I have a list that I literally go down one by one stalking each executive of like, have I talked to them? Like how I told them about like the power of the public cloud. And so I am super thankful that I have this opportunity to spread that this message and I'm planning a really epic talk. I really want to shake the industry And this is my opportunity, right? This is my opportunity to stand on the biggest stage in our industry and command a presence and send out my message. And I'm absolutely thrilled to go do it. And I hope I crush it, I hope it's like a mic drop experience. And can't wait to do it. >> Well, we're looking forward to covering it. And we love the open vision. We love the idea of public cloud and the enablement and the disruption. Because just like you got the deal so fast you can move fast with modern applications with the cloud, moving at cloud scale, complete content game changer, so great stuff. So totally applaud that looking forward to and we're here cheer you on and ask the tough questions. I do want to get to... On Twitter yesterday though, you put out on tweetstorm on Twitter about the plans kind of teasing out the booth, how are you going to plan to build the booth. Are you worried that you're opening up too much of the kimono here and putting too much on the table 'cause it's usually a secret. Mobile World Congress is supposed to be secret, not publicly out there. What's the-- >> Well, I mean, I think this is just a little bit of a change has happened post COVID, right. People usually build their booth at don't reveal it until the first day of the show and it's kind of like this excitement to go see what is their big message and what's the big reveal. And there's always fun stuff. I think this years will be different as a first, like I said, a first big event back. I think I need to create a little bit of excitement for people who are going and maybe entice people that maybe you should think about coming. I realized this is a super personal decision, right? It depends on where you are and the country and your health and your status. But if you can do it, I want people to know that you're going to miss out. It's going to be super fun. So, yeah. >> Let's take a look at the booth 'cause I'm sure my next question wants to see. I know we have guys, do we have that rendering... Let's pull that up and let's talk this through. Let's go look at the rendering. So you can see here on the screen... Take us through this. >> Yeah, so what we want to do is give the sense of of cloud city and that's what we're calling the space. In cloud city there's outdoor space, like you see here. And then there's an indoor space. And indoors is where you work, where you buy, where you meet. And so you can see here on the left, the demonstration that would have different vendors displaying and it goes way back. I mean, what we're feeling like I said is like a football field, an American football field and a half or a European football field, a pitch. It's pretty extensive. And so we think we're going to have, I don't know, 20, 30 vendors showing their different software. I think we're scheduling or planning for about 24 different meeting rooms that we can schedule. All COVID safe with the space requirements in there. But in that outdoor space, it would be where you learn, the education. And then I think we're going to have this fabulous booth for theCUBE. It's going to look just so amazing with the backdrop of this amazing building. And I think I underappreciated or didn't really realize how devastated the event planning industry has been from COVID as well as construction. Obviously when events were shut down, these companies had to lay off thousands of workers. Some of the big firms have laid off 50% of their workforce. And those people they didn't just go home and sit around, they had to come up with a livelihood and those people have pivoted into another job. And they're not really, I mean, events aren't really back yet. So some of these firms are shrunk. The manpower is severely reduced. But then I think on the other side is, and you can see this in just housing construction. There's a lumber shortage, there's a shortage of materials. And so everything that we source for the booth, pretty much has to come from Spain. And so when we look at the booth, we have a pretty significant ceiling, where it looks like the roof of the building. It's an engineering feat to do that we're still working through the... I'm sure someone with a protractor is doing lots of math. The glass, we have those huge beautiful glass spans in the front. Getting a glass that spans that height, I think it's 18 feet. It's six meters tall. That's going to be hard. Things like the flooring. I want to have like hardwood laminate flooring. So it looks like hardwood floors. Don't know if we can find them. There like, why don't you do carpet? I'm like, can you just check one more vendor. I really want my floor. So we'll see how it goes. And yeah, I think that sharing this plan, the trials and tribulations, like how can this small startup, take over a space that usually takes nine months to plan, right? Who is this girl? What is she doing? How are they going to pull this off? I think it's like, grab your popcorn and watch the train wreck or hero's journey. We get it done. And I'm obviously-- >> It's like keeping up with the Kardashians. It's the bachelor, it's theCUBE, reality TV show. We can keep track of everything. It's all the fun. >> No, totally. I don't know how many people would be interested in a reality TV show about how you build a booth but I find it absolutely fascinating. I think a lot of people have eyes on the GMA and MWC coming out of COVID and what does that look like, and what's the attendance like. And so I'm excited to share (murmurs) So, exact. >> Well, people are on clubhouse, they're bored, they want to get out. I think this is a case time. Mobile World Congress has a huge economic impact, as a show it's got its own little economy built around. It impacts the country of Spain in Barcelona, the city, a great city. People love it. And so it certainly is notable and newsworthy. We will be following that story. I have to ask you more kind of a tactical question if you don't mind, while I have you here. Can you talk about some of the vendors that are coming and the kinds of talks you're going to have inside the booth and how do people get involved? You mentioned it's open to people who love open ran and open public cloud, open technologies. I mean, that's pretty much everybody. That's cool and relevant, which is like almost the whole world now. Like, is it going to be a space as a criteria? How do people get involved? What's the collaboration formula? >> Yeah, no, I have been working on putting together a list of potential vendors. You'd be surprised, not everyone is as bullish as I am on the public cloud. And so there was a little bit of a filtering criteria but otherwise anyone can come. Enterprise software vendors in telco where their primary customer is communications service provider. That's their software runs on the public cloud, come on in. People using open ran. And it's still a little sort of small band of cohorts that are really trying to drive this new technology forward and they're going up against some of the biggest companies in telco, right? They're going up against Huawei, they're going up against Ericsson. Both those guys are very anti and they're not really pro open ran 'cause it's hugely disruptive to their business. And so I'm pretty sure those guys are not psyched to see open ran become a thing in telco. And so it's really sort of about disruptive technologies that are in the booth. And so yeah, I'm paying for the space, I'm paying for the build-out, bring your demos, bring your people, come with your marketing message and let's build a community. And so we're talking to open ran vendors like Mavenir which is a pretty big name in the open ran space. I've been talking with Parallel Wireless in LTO Star. Those are also great players. Software vendors like to Tutoki, which is a talk that I did a little over a month ago about this new startup that has a web-scale charger that they're trying to put out there. Auria is another company that I'm really familiar with that has some cloud for software. And in little tiny startups like Sequence and some other up-and-comers that no one's heard of. So we're really excited to invite them into the booth. I've been secretly stalking Elon Musk, and Starlink and Space X to be a part of it. And we'll see. I'm kind of using Twitter and whatever I can to reach out and see if they want to be a part of it. But yeah, it really open arms. Not really excluding-- >> Well, Elon is very disruptive and you can reach out to him on Twitter. He's accessible. I mean, you've got to break through and he's antenna up for innovators, people who think differently, they love people who break down walls and markets lower open wins. I mean, we know there's a history, we've been covering it. I've been involved in all my career. People who bet against open always lose. It's happened in every single wave of innovation. So Elon's gettable. Let's get him. >> Who doesn't love Elon Musk? I mean, I think some people don't, I love him. He's my hero. I model a lot of the things that I do around his approach, his vision. 20 years ago, or close to 20 years ago, 2003, he said he was going to put people on Mars. And I think people laughed at him for being like the PayPal guy and this guy is crazy, but every year he makes progress against his goals. We have a relandable rocket. He's doing a manned mission this week, the second man mission or third man mission. The guy makes progress. And I think I'm on the same mission here. My mission is to move Telco to the public cloud. I think it's a long journey, right? I think people are like, who is this girl? And she's like 12 people and what's her story. And I'm like, I don't care. I have a singular mission is a quest. I am not going to stop until I move the industry to the public cloud. And it's my life's mission and I'm psyched to do it. >> Well, we love the mojo, we love your style. We love Elon Musk's mojo. And again, just to bring the dots together you have that same mindset, which is, love like Elon, he's a builder. He builds things and he delivers. So as you said, so... Danielle, I really appreciate the work you're doing. I love your philosophy. We're in total agreement. Open building. Doing it together as a collective, being part of something? This is what the world needs. You got a lot of great ideas in the works and we can't wait to hear them. And what you got coming up over the next 68 days. This is the first of many conversations together. Thank you. >> Yeah, that's going to be so awesome. Thank you so much for having me. Psyched to talk to you about it. >> Okay. Mobile World Congress is happening in Barcelona on the June 28th. It's going to be in person and it's going to be probably the biggest hybrid event to date. Be there, check out TelcoDR and theCUBE and the space that they took over 14 years at the helm there. Ericson had it, now it's TelcoDR. Danielle Royston, founder and CEO here with me from TelcoDR. Thanks for watching. (upbeat music)