(upbeat music) >> Hello, everyone, welcome to theCUBE. I'm John Furrier, the host of theCUBE in Palo Alto, California. Also it's SiliconANGLE News. Got two great guests here to talk about AI, the impact of the future of the internet, the applications, the people. Amr Awadallah, the founder and CEO, Ed Alban is the CEO of Vectara, a new startup that emerged out of the original Cloudera, I would say, 'cause Amr's known, famous for the Cloudera founding, which was really the beginning of the big data movement. And now as AI goes mainstream, there's so much to talk about, so much to go on. And plus the new company is one of the, now what I call the wave, this next big wave, I call it the fifth wave in the industry. You know, you had PCs, you had the internet, you had mobile. This generative AI thing is real. And you're starting to see startups come out in droves. Amr obviously was founder of Cloudera, Big Data, and now Vectara. And Ed Albanese, you guys have a new company. Welcome to the show. >> Thank you. It's great to be here. >> So great to see you. Now the story is theCUBE started in the Cloudera office. Thanks to you, and your friendly entrepreneurship views that you have. We got to know each other over the years. But Cloudera had Hadoop, which was the beginning of what I call the big data wave, which then became what we now call data lakes, data oceans, and data infrastructure that's developed from that. It's almost interesting to look back 12 plus years, and see that what AI is doing now, right now, is opening up the eyes to the mainstream, and the application's almost mind blowing. You know, Sati Natel called it the Mosaic Moment, didn't say Netscape, he built Netscape (laughing) but called it the Mosaic Moment. You're seeing companies in startups, kind of the alpha geeks running here, because this is the new frontier, and there's real meat on the bone, in terms of like things to do. Why? Why is this happening now? What's is the confluence of the forces happening, that are making this happen? >> Yeah, I mean if you go back to the Cloudera days, with big data, and so on, that was more about data processing. Like how can we process data, so we can extract numbers from it, and do reporting, and maybe take some actions, like this is a fraud transaction, or this is not. And in the meanwhile, many of the researchers working in the neural network, and deep neural network space, were trying to focus on data understanding, like how can I understand the data, and learn from it, so I can take actual actions, based on the data directly, just like a human does. And we were only good at doing that at the level of somebody who was five years old, or seven years old, all the way until about 2013. And starting in 2013, which is only 10 years ago, a number of key innovations started taking place, and each one added on. It was no major innovation that just took place. It was a couple of really incremental ones, but they added on top of each other, in a very exponentially additive way, that led to, by the end of 2019, we now have models, deep neural network models, that can read and understand human text just like we do. Right? And they can reason about it, and argue with you, and explain it to you. And I think that's what is unlocking this whole new wave of innovation that we're seeing right now. So data understanding would be the essence of it. >> So it's not a Big Bang kind of theory, it's been evolving over time, and I think that the tipping point has been the advancements and other things. I mean look at cloud computing, and look how fast it just crept up on AWS. I mean AWS you back three, five years ago, I was talking to Swami yesterday, and their big news about AI, expanding the Hugging Face's relationship with AWS. And just three, five years ago, there wasn't a model training models out there. But as compute comes out, and you got more horsepower,, these large language models, these foundational models, they're flexible, they're not monolithic silos, they're interacting. There's a whole new, almost fusion of data happening. Do you see that? I mean is that part of this? >> Of course, of course. I mean this wave is building on all the previous waves. We wouldn't be at this point if we did not have hardware that can scale, in a very efficient way. We wouldn't be at this point, if we don't have data that we're collecting about everything we do, that we're able to process in this way. So this, this movement, this motion, this phase we're in, absolutely builds on the shoulders of all the previous phases. For some of the observers from the outside, when they see chatGPT for the first time, for them was like, "Oh my god, this just happened overnight." Like it didn't happen overnight. (laughing) GPT itself, like GPT3, which is what chatGPT is based on, was released a year ahead of chatGPT, and many of us were seeing the power it can provide, and what it can do. I don't know if Ed agrees with that. >> Yeah, Ed? >> I do. Although I would acknowledge that the possibilities now, because of what we've hit from a maturity standpoint, have just opened up in an incredible way, that just wasn't tenable even three years ago. And that's what makes it, it's true that it developed incrementally, in the same way that, you know, the possibilities of a mobile handheld device, you know, in 2006 were there, but when the iPhone came out, the possibilities just exploded. And that's the moment we're in. >> Well, I've had many conversations over the past couple months around this area with chatGPT. John Markoff told me the other day, that he calls it, "The five dollar toy," because it's not that big of a deal, in context to what AI's doing behind the scenes, and all the work that's done on ethics, that's happened over the years, but it has woken up the mainstream, so everyone immediately jumps to ethics. "Does it work? "It's not factual," And everyone who's inside the industry is like, "This is amazing." 'Cause you have two schools of thought there. One's like, people that think this is now the beginning of next gen, this is now we're here, this ain't your grandfather's chatbot, okay?" With NLP, it's got reasoning, it's got other things. >> I'm in that camp for sure. >> Yeah. Well I mean, everyone who knows what's going on is in that camp. And as the naysayers start to get through this, and they go, "Wow, it's not just plagiarizing homework, "it's helping me be better. "Like it could rewrite my memo, "bring the lead to the top." It's so the format of the user interface is interesting, but it's still a data-driven app. >> Absolutely. >> So where does it go from here? 'Cause I'm not even calling this the first ending. This is like pregame, in my opinion. What do you guys see this going, in terms of scratching the surface to what happens next? >> I mean, I'll start with, I just don't see how an application is going to look the same in the next three years. Who's going to want to input data manually, in a form field? Who is going to want, or expect, to have to put in some text in a search box, and then read through 15 different possibilities, and try to figure out which one of them actually most closely resembles the question they asked? You know, I don't see that happening. Who's going to start with an absolute blank sheet of paper, and expect no help? That is not how an application will work in the next three years, and it's going to fundamentally change how people interact and spend time with opening any element on their mobile phone, or on their computer, to get something done. >> Yes. I agree with that. Like every single application, over the next five years, will be rewritten, to fit within this model. So imagine an HR application, I don't want to name companies, but imagine an HR application, and you go into application and you clicking on buttons, because you want to take two weeks of vacation, and menus, and clicking here and there, reasons and managers, versus just telling the system, "I'm taking two weeks of vacation, going to Las Vegas," book it, done. >> Yeah. >> And the system just does it for you. If you weren't completing in your input, in your description, for what you want, then the system asks you back, "Did you mean this? "Did you mean that? "Were you trying to also do this as well?" >> Yeah. >> "What was the reason?" And that will fit it for you, and just do it for you. So I think the user interface that we have with apps, is going to change to be very similar to the user interface that we have with each other. And that's why all these apps will need to evolve. >> I know we don't have a lot of time, 'cause you guys are very busy, but I want to definitely have multiple segments with you guys, on this topic, because there's so much to talk about. There's a lot of parallels going on here. I was talking again with Swami who runs all the AI database at AWS, and I asked him, I go, "This feels a lot like the original AWS. "You don't have to provision a data center." A lot of this heavy lifting on the back end, is these large language models, with these foundational models. So the bottleneck in the past, was the energy, and cost to actually do it. Now you're seeing it being stood up faster. So there's definitely going to be a tsunami of apps. I would see that clearly. What is it? We don't know yet. But also people who are going to leverage the fact that I can get started building value. So I see a startup boom coming, and I see an application tsunami of refactoring things. >> Yes. >> So the replatforming is already kind of happening. >> Yes, >> OpenAI, chatGPT, whatever. So that's going to be a developer environment. I mean if Amazon turns this into an API, or a Microsoft, what you guys are doing. >> We're turning it into API as well. That's part of what we're doing as well, yes. >> This is why this is exciting. Amr, you've lived the big data dream, and and we used to talk, if you didn't have a big data problem, if you weren't full of data, you weren't really getting it. Now people have all the data, and they got to stand this up. >> Yeah. >> So the analogy is again, the mobile, I like the mobile movement, and using mobile as an analogy, most companies were not building for a mobile environment, right? They were just building for the web, and legacy way of doing apps. And as soon as the user expectations shifted, that my expectation now, I need to be able to do my job on this small screen, on the mobile device with a touchscreen. Everybody had to invest in re-architecting, and re-implementing every single app, to fit within that model, and that model of interaction. And we are seeing the exact same thing happen now. And one of the core things we're focused on at Vectara, is how to simplify that for organizations, because a lot of them are overwhelmed by large language models, and ML. >> They don't have the staff. >> Yeah, yeah, yeah. They're understaffed, they don't have the skills. >> But they got developers, they've got DevOps, right? >> Yes. >> So they have the DevSecOps going on. >> Exactly, yes. >> So our goal is to simplify it enough for them that they can start leveraging this technology effectively, within their applications. >> Ed, you're the COO of the company, obviously a startup. You guys are growing. You got great backup, and good team. You've also done a lot of business development, and technical business development in this area. If you look at the landscape right now, and I agree the apps are coming, every company I talk to, that has that jet chatGPT of, you know, epiphany, "Oh my God, look how cool this is. "Like magic." Like okay, it's code, settle down. >> Mm hmm. >> But everyone I talk to is using it in a very horizontal way. I talk to a very senior person, very tech alpha geek, very senior person in the industry, technically. they're using it for log data, they're using it for configuration of routers. And in other areas, they're using it for, every vertical has a use case. So this is horizontally scalable from a use case standpoint. When you hear horizontally scalable, first thing I chose in my mind is cloud, right? >> Mm hmm. >> So cloud, and scalability that way. And the data is very specialized. So now you have this vertical specialization, horizontally scalable, everyone will be refactoring. What do you see, and what are you seeing from customers, that you talk to, and prospects? >> Yeah, I mean put yourself in the shoes of an application developer, who is actually trying to make their application a bit more like magic. And to have that soon-to-be, honestly, expected experience. They've got to think about things like performance, and how efficiently that they can actually execute a query, or a question. They've got to think about cost. Generative isn't cheap, like the inference of it. And so you've got to be thoughtful about how and when you take advantage of it, you can't use it as a, you know, everything looks like a nail, and I've got a hammer, and I'm going to hit everything with it, because that will be wasteful. Developers also need to think about how they're going to take advantage of, but not lose their own data. So there has to be some controls around what they feed into the large language model, if anything. Like, should they fine tune a large language model with their own data? Can they keep it logically separated, but still take advantage of the powers of a large language model? And they've also got to take advantage, and be aware of the fact that when data is generated, that it is a different class of data. It might not fully be their own. >> Yeah. >> And it may not even be fully verified. And so when the logical cycle starts, of someone making a request, the relationship between that request, and the output, those things have to be stored safely, logically, and identified as such. >> Yeah. >> And taken advantage of in an ongoing fashion. So these are mega problems, each one of them independently, that, you know, you can think of it as middleware companies need to take advantage of, and think about, to help the next wave of application development be logical, sensible, and effective. It's not just calling some raw API on the cloud, like openAI, and then just, you know, you get your answer and you're done, because that is a very brute force approach. >> Well also I will point, first of all, I agree with your statement about the apps experience, that's going to be expected, form filling. Great point. The interesting about chatGPT. >> Sorry, it's not just form filling, it's any action you would like to take. >> Yeah. >> Instead of clicking, and dragging, and dropping, and doing it on a menu, or on a touch screen, you just say it, and it's and it happens perfectly. >> Yeah. It's a different interface. And that's why I love that UIUX experiences, that's the people falling out of their chair moment with chatGPT, right? But a lot of the things with chatGPT, if you feed it right, it works great. If you feed it wrong and it goes off the rails, it goes off the rails big. >> Yes, yes. >> So the the Bing catastrophes. >> Yeah. >> And that's an example of garbage in, garbage out, classic old school kind of comp-side phrase that we all use. >> Yep. >> Yes. >> This is about data in injection, right? It reminds me the old SQL days, if you had to, if you can sling some SQL, you were a magician, you know, to get the right answer, it's pretty much there. So you got to feed the AI. >> You do, Some people call this, the early word to describe this as prompt engineering. You know, old school, you know, search, or, you know, engagement with data would be, I'm going to, I have a question or I have a query. New school is, I have, I have to issue it a prompt, because I'm trying to get, you know, an action or a reaction, from the system. And the active engineering, there are a lot of different ways you could do it, all the way from, you know, raw, just I'm going to send you whatever I'm thinking. >> Yeah. >> And you get the unintended outcomes, to more constrained, where I'm going to just use my own data, and I'm going to constrain the initial inputs, the data I already know that's first party, and I trust, to, you know, hyper constrain, where the application is actually, it's looking for certain elements to respond to. >> It's interesting Amr, this is why I love this, because one we are in the media, we're recording this video now, we'll stream it. But we got all your linguistics, we're talking. >> Yes. >> This is data. >> Yep. >> So the data quality becomes now the new intellectual property, because, if you have that prompt source data, it makes data or content, in our case, the original content, intellectual property. >> Absolutely. >> Because that's the value. And that's where you see chatGPT fall down, is because they're trying to scroll the web, and people think it's search. It's not necessarily search, it's giving you something that you wanted. It is a lot of that, I remember in Cloudera, you said, "Ask the right questions." Remember that phrase you guys had, that slogan? >> Mm hmm. And that's prompt engineering. So that's exactly, that's the reinvention of "Ask the right question," is prompt engineering is, if you don't give these models the question in the right way, and very few people know how to frame it in the right way with the right context, then you will get garbage out. Right? That is the garbage in, garbage out. But if you specify the question correctly, and you provide with it the metadata that constrain what that question is going to be acted upon or answered upon, then you'll get much better answers. And that's exactly what we solved Vectara. >> Okay. So before we get into the last couple minutes we have left, I want to make sure we get a plug in for the opportunity, and the profile of Vectara, your new company. Can you guys both share with me what you think the current situation is? So for the folks who are now having those moments of, "Ah, AI's bullshit," or, "It's not real, it's a lot of stuff," from, "Oh my god, this is magic," to, "Okay, this is the future." >> Yes. >> What would you say to that person, if you're at a cocktail party, or in the elevator say, "Calm down, this is the first inning." How do you explain the dynamics going on right now, to someone who's either in the industry, but not in the ropes? How would you explain like, what this wave's about? How would you describe it, and how would you prepare them for how to change their life around this? >> Yeah, so I'll go first and then I'll let Ed go. Efficiency, efficiency is the description. So we figured that a way to be a lot more efficient, a way where you can write a lot more emails, create way more content, create way more presentations. Developers can develop 10 times faster than they normally would. And that is very similar to what happened during the Industrial Revolution. I always like to look at examples from the past, to read what will happen now, and what will happen in the future. So during the Industrial Revolution, it was about efficiency with our hands, right? So I had to make a piece of cloth, like this piece of cloth for this shirt I'm wearing. Our ancestors, they had to spend month taking the cotton, making it into threads, taking the threads, making them into pieces of cloth, and then cutting it. And now a machine makes it just like that, right? And the ancestors now turned from the people that do the thing, to manage the machines that do the thing. And I think the same thing is going to happen now, is our efficiency will be multiplied extremely, as human beings, and we'll be able to do a lot more. And many of us will be able to do things they couldn't do before. So another great example I always like to use is the example of Google Maps, and GPS. Very few of us knew how to drive a car from one location to another, and read a map, and get there correctly. But once that efficiency of an AI, by the way, behind these things is very, very complex AI, that figures out how to do that for us. All of us now became amazing navigators that can go from any point to any point. So that's kind of how I look at the future. >> And that's a great real example of impact. Ed, your take on how you would talk to a friend, or colleague, or anyone who asks like, "How do I make sense of the current situation? "Is it real? "What's in it for me, and what do I do?" I mean every company's rethinking their business right now, around this. What would you say to them? >> You know, I usually like to show, rather than describe. And so, you know, the other day I just got access, I've been using an application for a long time, called Notion, and it's super popular. There's like 30 or 40 million users. And the new version of Notion came out, which has AI embedded within it. And it's AI that allows you primarily to create. So if you could break down the world of AI into find and create, for a minute, just kind of logically separate those two things, find is certainly going to be massively impacted in our experiences as consumers on, you know, Google and Bing, and I can't believe I just said the word Bing in the same sentence as Google, but that's what's happening now (all laughing), because it's a good example of change. >> Yes. >> But also inside the business. But on the crate side, you know, Notion is a wiki product, where you try to, you know, note down things that you are thinking about, or you want to share and memorialize. But sometimes you do need help to get it down fast. And just in the first day of using this new product, like my experience has really fundamentally changed. And I think that anybody who would, you know, anybody say for example, that is using an existing app, I would show them, open up the app. Now imagine the possibility of getting a starting point right off the bat, in five seconds of, instead of having to whole cloth draft this thing, imagine getting a starting point then you can modify and edit, or just dispose of and retry again. And that's the potential for me. I can't imagine a scenario where, in a few years from now, I'm going to be satisfied if I don't have a little bit of help, in the same way that I don't manually spell check every email that I send. I automatically spell check it. I love when I'm getting type ahead support inside of Google, or anything. Doesn't mean I always take it, or when texting. >> That's efficiency too. I mean the cloud was about developers getting stuff up quick. >> Exactly. >> All that heavy lifting is there for you, so you don't have to do it. >> Right? >> And you get to the value faster. >> Exactly. I mean, if history taught us one thing, it's, you have to always embrace efficiency, and if you don't fast enough, you will fall behind. Again, looking at the industrial revolution, the companies that embraced the industrial revolution, they became the leaders in the world, and the ones who did not, they all like. >> Well the AI thing that we got to watch out for, is watching how it goes off the rails. If it doesn't have the right prompt engineering, or data architecture, infrastructure. >> Yes. >> It's a big part. So this comes back down to your startup, real quick, I know we got a couple minutes left. Talk about the company, the motivation, and we'll do a deeper dive on on the company. But what's the motivation? What are you targeting for the market, business model? The tech, let's go. >> Actually, I would like Ed to go first. Go ahead. >> Sure, I mean, we're a developer-first, API-first platform. So the product is oriented around allowing developers who may not be superstars, in being able to either leverage, or choose, or select their own large language models for appropriate use cases. But they that want to be able to instantly add the power of large language models into their application set. We started with search, because we think it's going to be one of the first places that people try to take advantage of large language models, to help find information within an application context. And we've built our own large language models, focused on making it very efficient, and elegant, to find information more quickly. So what a developer can do is, within minutes, go up, register for an account, and get access to a set of APIs, that allow them to send data, to be converted into a format that's easy to understand for large language models, vectors. And then secondarily, they can issue queries, ask questions. And they can ask them very, the questions that can be asked, are very natural language questions. So we're talking about long form sentences, you know, drill down types of questions, and they can get answers that either come back in depending upon the form factor of the user interface, in list form, or summarized form, where summarized equals the opportunity to kind of see a condensed, singular answer. >> All right. I have a. >> Oh okay, go ahead, you go. >> I was just going to say, I'm going to be a customer for you, because I want, my dream was to have a hologram of theCUBE host, me and Dave, and have questions be generated in the metaverse. So you know. (all laughing) >> There'll be no longer any guests here. They'll all be talking to you guys. >> Give a couple bullets, I'll spit out 10 good questions. Publish a story. This brings the automation, I'm sorry to interrupt you. >> No, no. No, no, I was just going to follow on on the same. So another way to look at exactly what Ed described is, we want to offer you chatGPT for your own data, right? So imagine taking all of the recordings of all of the interviews you have done, and having all of the content of that being ingested by a system, where you can now have a conversation with your own data and say, "Oh, last time when I met Amr, "which video games did we talk about? "Which movie or book did we use as an analogy "for how we should be embracing data science, "and big data, which is moneyball," I know you use moneyball all the time. And you start having that conversation. So, now the data doesn't become a passive asset that you just have in your organization. No. It's an active participant that's sitting with you, on the table, helping you make decisions. >> One of my favorite things to do with customers, is to go to their site or application, and show them me using it. So for example, one of the customers I talked to was one of the biggest property management companies in the world, that lets people go and rent homes, and houses, and things like that. And you know, I went and I showed them me searching through reviews, looking for information, and trying different words, and trying to find out like, you know, is this place quiet? Is it comfortable? And then I put all the same data into our platform, and I showed them the world of difference you can have when you start asking that question wholeheartedly, and getting real information that doesn't have anything to do with the words you asked, but is really focused on the meaning. You know, when I asked like, "Is it quiet?" You know, answers would come back like, "The wind whispered through the trees peacefully," and you know, it's like nothing to do with quiet in the literal word sense, but in the meaning sense, everything to do with it. And that that was magical even for them, to see that. >> Well you guys are the front end of this big wave. Congratulations on the startup, Amr. I know you guys got great pedigree in big data, and you've got a great team, and congratulations. Vectara is the name of the company, check 'em out. Again, the startup boom is coming. This will be one of the major waves, generative AI is here. I think we'll look back, and it will be pointed out as a major inflection point in the industry. >> Absolutely. >> There's not a lot of hype behind that. People are are seeing it, experts are. So it's going to be fun, thanks for watching. >> Thanks John. (soft music)

(gentle music) >> Okay, welcome back to Supercloud 2, live here in Palo Alto, California for our live stage performance. Supercloud 2 is our second Supercloud event. We're going to get these out as fast as we can every couple months. It's our second one, you'll see two and three this year. I'm John Furrier, my co-host, Dave Vellante. A panel here to break down the Supercloud momentum, the wave, and the developer impact that we bringing back Vittorio Viarengo, who's a VP for Cross-Cloud Services at VMware. Sarbjeet Johal, industry influencer and Analyst at StackPayne, his company, Cube alumni and Influencer. Sarbjeet, great to see you. Vittorio, thanks for coming back. >> Nice to be here. >> My pleasure. >> Vittorio, you just gave a keynote where we unpacked the cross-cloud services, what VMware is doing, how you guys see it, not just from VMware's perspective, but VMware looking out broadly at the industry and developers came up and you were like, "Developers, developer, developers", kind of a goof on the Steve Ballmer famous meme that everyone's seen. This is a huge star, sorry, I mean a big piece of it. The developers are the canary in the coal mines. They're the ones who are being asked to code the digital transformation, which is fully business transformation and with the market the way it is right now in terms of the accelerated technology, every enterprise grade business model's changing. The technology is evolving, the builders are kind of, they want go faster. I'm saying they're stuck in a way, but that's my opinion, but there's a lot of growth. >> Yeah. >> The impact, they got to get released up and let it go. Those developers need to accelerate faster. It's been a big part of productivity, and the conversations we've had. So developer impact is huge in Supercloud. What's your, what do you guys think about this? We'll start with you, Sarbjeet. >> Yeah, actually, developers are the masons of the digital empires I call 'em, right? They lay every brick and build all these big empires. On the left side of the SDLC, or the, you know, when you look at the system operations, developer is number one cost from economic side of things, and from technology side of things, they are tech hungry people. They are developers for that reason because developer nights are long, hours are long, they forget about when to eat, you know, like, I've been a developer, I still code. So you want to keep them happy, you want to hug your developers. We always say that, right? Vittorio said that right earlier. The key is to, in this context, in the Supercloud context, is that developers don't mind mucking around with platforms or APIs or new languages, but they hate the infrastructure part. That's a fact. They don't want to muck around with servers. It's friction for them, it is like they don't want to muck around even with the VMs. So they want the programmability to the nth degree. They want to automate everything, so that's how they think and cloud is the programmable infrastructure, industrialization of infrastructure in many ways. So they are happy with where we are going, and we need more abstraction layers for some developers. By the way, I have this sort of thinking frame for last year or so, not all developers are same, right? So if you are a developer at an ISV, you behave differently. If you are a developer at a typical enterprise, you behave differently or you are forced to behave differently because you're not writing software.- >> Well, developers, developers have changed, I mean, Vittorio, you and I were talking earlier on the keynote, and this is kind of the key point is what is a developer these days? If everything is software enabled, I mean, even hardware interviews we do with Nvidia, and Amazon and other people building silicon, they all say the same thing, "It's software on a chip." So you're seeing the role of software up and down the stack and the role of the stack is changing. The old days of full stack developer, what does that even mean? I mean, the cloud is a half a stack kind of right there. So, you know, developers are certainly more agile, but cloud native, I mean VMware is epitome of operations, IT operations, and the Tan Zoo initiative, you guys started, you went after the developers to look at them, and ask them questions, "What do you need?", "How do you transform the Ops from virtualization?" Again, back to your point, so this hardware abstraction, what is software, what is cloud native? It's kind of messy equation these days. How do you guys grokel with that? >> I would argue that developers don't want the Supercloud. I dropped that up there, so, >> Dave: Why not? >> Because developers, they, once they get comfortable in AWS or Google, because they're doing some AI stuff, which is, you know, very trendy right now, or they are in IBM, any of the IPA scaler, professional developers, system developers, they love that stuff, right? Yeah, they don't, the infrastructure gets in the way, but they're just, the problem is, and I think the Supercloud should be driven by the operators because as we discussed, the operators have been left behind because they're busy with day-to-day jobs, and in most cases IT is centralized, developers are in the business units. >> John: Yeah. >> Right? So they get the mandate from the top, say, "Our bank, they're competing against". They gave teenagers or like young people the ability to do all these new things online, and Venmo and all this integration, where are we? "Oh yeah, we can do it", and then build it, and then deploy it, "Okay, we caught up." but now the operators are back in the private cloud trying to keep the backend system running and so I think the Supercloud is needed for the primarily, initially, for the operators to get in front of the developers, fit in the workflow, but lay the foundation so it is secure.- >> So, so I love this thinking because I love the rift, because the rift points to what is the target audience for the value proposition and if you're a developer, Supercloud enables you so you shouldn't have to deal with Supercloud. >> Exactly. >> What you're saying is get the operating environment or operating system done properly, whether it's architecture, building the platform, this comes back to architecture platform conversations. What is the future platform? Is it a vendor supplied or is it customer created platform? >> Dave: So developers want best to breed, is what you just said. >> Vittorio: Yeah. >> Right and operators, they, 'cause developers don't want to deal with governance, they don't want to deal with security, >> No. >> They don't want to deal with spinning up infrastructure. That's the role of the operator, but that's where Supercloud enables, to John's point, the developer, so to your question, is it a platform where the platform vendor is responsible for the architecture, or there is it an architectural standard that spans multiple clouds that has to emerge? Based on what you just presented earlier, Vittorio, you are the determinant of the architecture. It's got to be open, but you guys determine that, whereas the nirvana is, "Oh no, it's all open, and it just kind of works." >> Yeah, so first of all, let's all level set on one thing. You cannot tell developers what to do. >> Dave: Right, great >> At least great developers, right? Cannot tell them what to do. >> Dave: So that's what, that's the way I want to sort of, >> You can tell 'em what's possible. >> There's a bottle on that >> If you tell 'em what's possible, they'll test it, they'll look at it, but if you try to jam it down their throat, >> Yeah. >> Dave: You can't tell 'em how to do it, just like your point >> Let me answer your answer the question. >> Yeah, yeah. >> So I think we need to build an architect, help them build an architecture, but it cannot be proprietary, has to be built on what works in the cloud and so what works in the cloud today is Kubernetes, is you know, number of different open source project that you need to enable and then provide, use this, but when I first got exposed to Kubernetes, I said, "Hallelujah!" We had a runtime that works the same everywhere only to realize there are 12 different distributions. So that's where we come in, right? And other vendors come in to say, "Hey, no, we can make them all look the same. So you still use Kubernetes, but we give you a place to build, to set those operation policy once so that you don't create friction for the developers because that's the last thing you want to do." >> Yeah, actually, coming back to the same point, not all developers are same, right? So if you're ISV developer, you want to go to the lowest sort of level of the infrastructure and you want to shave off the milliseconds from to get that performance, right? If you're working at AWS, you are doing that. If you're working at scale at Facebook, you're doing that. At Twitter, you're doing that, but when you go to DMV and Kansas City, you're not doing that, right? So your developers are different in nature. They are given certain parameters to work with, certain sort of constraints on the budget side. They are educated at a different level as well. Like they don't go to that end of the degree of sort of automation, if you will. So you cannot have the broad stroking of developers. We are talking about a citizen developer these days. That's a extreme low, >> You mean Low-Code. >> Yeah, Low-Code, No-code, yeah, on the extreme side. On one side, that's citizen developers. On the left side is the professional developers, when you say developers, your mind goes to the professional developers, like the hardcore developers, they love the flexibility, you know, >> John: Well app, developers too, I mean. >> App developers, yeah. >> You're right a lot of, >> Sarbjeet: Infrastructure platform developers, app developers, yes. >> But there are a lot of customers, its a spectrum, you're saying. >> Yes, it's a spectrum >> There's a lot of customers don't want deal with that muck. >> Yeah. >> You know, like you said, AWS, Twitter, the sophisticated developers do, but there's a whole suite of developers out there >> Yeah >> That just want tools that are abstracted. >> Within a company, within a company. Like how I see the Supercloud is there shouldn't be anything which blocks the developers, like their view of the world, of the future. Like if you're blocked as a developer, like something comes in front of you, you are not developer anymore, believe me, (John laughing) so you'll go somewhere else >> John: First of all, I'm, >> You'll leave the company by the way. >> Dave: Yeah, you got to quit >> Yeah, you will quit, you will go where the action is, where there's no sort of blockage there. So like if you put in front of them like a huge amount of a distraction, they don't like it, so they don't, >> Well, the idea of a developer, >> Coming back to that >> Let's get into 'cause you mentioned platform. Get year in the term platform engineering now. >> Yeah. >> Platform developer. You know, I remember back in, and I think there's still a term used today, but when I graduated my computer science degree, we were called "Software engineers," right? Do people use that term "Software engineering", or is it "Software development", or they the same, are they different? >> Well, >> I think there's a, >> So, who's engineering what? Are they engineering or are they developing? Or both? Well, I think it the, you made a great point. There is a factor of, I had the, I was blessed to work with Adam Bosworth, that is the guy that created some of the abstraction layer, like Visual Basic and Microsoft Access and he had so, he made his whole career thinking about this layer, and he always talk about the professional developers, the developers that, you know, give him a user manual, maybe just go at the APIs, he'll build anything, right, from system engine, go down there, and then through obstruction, you get the more the procedural logic type of engineers, the people that used to be able to write procedural logic and visual basic and so on and so forth. I think those developers right now are a little cut out of the picture. There's some No-code, Low-Code environment that are maybe gain some traction, I caught up with Adam Bosworth two weeks ago in New York and I asked him "What's happening to this higher level developers?" and you know what he is told me, and he is always a little bit out there, so I'm going to use his thought process here. He says, "ChapGPT", I mean, they will get to a point where this high level procedural logic will be written by, >> John: Computers. >> Computers, and so we may not need as many at the high level, but we still need the engineers down there. The point is the operation needs to get in front of them >> But, wait, wait, you seen the ChatGPT meme, I dunno if it's a Dilbert thing where it's like, "Time to tic" >> Yeah, yeah, yeah, I did that >> "Time to develop the code >> Five minutes, time to decode", you know, to debug the codes like five hours. So you know, the whole equation >> Well, this ChatGPT is a hot wave, everyone's been talking about it because I think it illustrates something that's NextGen, feels NextGen, and it's just getting started so it's going to get better. I mean people are throwing stones at it, but I think it's amazing. It's the equivalent of me seeing the browser for the first time, you know, like, "Wow, this is really compelling." This is game-changing, it's not just keyword chat bots. It's like this is real, this is next level, and I think the Supercloud wave that people are getting behind points to that and I think the question of Ops and Dev comes up because I think if you limit the infrastructure opportunity for a developer, I think they're going to be handicapped. I mean that's a general, my opinion, the thesis is you give more aperture to developers, more choice, more capabilities, more good things could happen, policy, and that's why you're seeing the convergence of networking people, virtualization talent, operational talent, get into the conversation because I think it's an infrastructure engineering opportunity. I think this is a seminal moment in a new stack that's emerging from an infrastructure, software virtualization, low-code, no-code layer that will be completely programmable by things like the next Chat GPT or something different, but yet still the mechanics and the plumbing will still need engineering. >> Sarbjeet: Oh yeah. >> So there's still going to be more stuff coming on. >> Yeah, we have, with the cloud, we have made the infrastructure programmable and you give the programmability to the programmer, they will be very creative with that and so we are being very creative with our infrastructure now and on top of that, we are being very creative with the silicone now, right? So we talk about that. That's part of it, by the way. So you write the code to the particle's silicone now, and on the flip side, the silicone is built for certain use cases for AI Inference and all that. >> You saw this at CES? >> Yeah, I saw at CES, the scenario is this, the Bosch, I spoke to Bosch, I spoke to John Deere, I spoke to AWS guys, >> Yeah. >> They were showcasing their technology there and I was spoke to Azure guys as well. So the Bosch is a good example. So they are building, they are right now using AWS. I have that interview on camera, I will put it some sometime later on there online. So they're using AWS on the back end now, but Bosch is the number one, number one or number two depending on what day it is of the year, supplier of the componentry to the auto industry, and they are creating a platform for our auto industry, so is Qualcomm actually by the way, with the Snapdragon. So they told me that customers, their customers, BMW, Audi, all the manufacturers, they demand the diversity of the backend. Like they don't want all, they, all of them don't want to go to AWS. So they want the choice on the backend. So whatever they cook in the middle has to work, they have to sprinkle the data for the data sovereign side because they have Chinese car makers as well, and for, you know, for other reasons, competitive reasons and like use. >> People don't go to, aw, people don't go to AWS either for political reasons or like competitive reasons or specific use cases, but for the most part, generally, I haven't met anyone who hasn't gone first choice with either, but that's me personally. >> No, but they're building. >> Point is the developer wants choice at the back end is what I'm hearing, but then finish that thought. >> Their developers want the choice, they want the choice on the back end, number one, because the customers are asking for, in this case, the customers are asking for it, right? But the customers requirements actually drive, their economics drives that decision making, right? So in the middle they have to, they're forced to cook up some solution which is vendor neutral on the backend or multicloud in nature. So >> Yeah, >> Every >> I mean I think that's nirvana. I don't think, I personally don't see that happening right now. I mean, I don't see the parody with clouds. So I think that's a challenge. I mean, >> Yeah, true. >> I mean the fact of the matter is if the development teams get fragmented, we had this chat with Kit Colbert last time, I think he's going to come on and I think he's going to talk about his keynote in a few, in an hour or so, development teams is this, the cloud is heterogenous, which is great. It's complex, which is challenging. You need skilled engineering to manage these clouds. So if you're a CIO and you go all in on AWS, it's hard. Then to then go out and say, "I want to be completely multi-vendor neutral" that's a tall order on many levels and this is the multicloud challenge, right? So, the question is, what's the strategy for me, the CIO or CISO, what do I do? I mean, to me, I would go all in on one and start getting hedges and start playing and then look at some >> Crystal clear. Crystal clear to me. >> Go ahead. >> If you're a CIO today, you have to build a platform engineering team, no question. 'Cause if we agree that we cannot tell the great developers what to do, we have to create a platform engineering team that using pieces of the Supercloud can build, and let's make this very pragmatic and give examples. First you need to be able to lay down the run time, okay? So you need a way to deploy multiple different Kubernetes environment in depending on the cloud. Okay, now we got that. The second part >> That's like table stakes. >> That are table stake, right? But now what is the advantage of having a Supercloud service to do that is that now you can put a policy in one place and it gets distributed everywhere consistently. So for example, you want to say, "If anybody in this organization across all these different buildings, all these developers don't even know, build a PCI compliant microservice, They can only talk to PCI compliant microservice." Now, I sleep tight. The developers still do that. Of course they're going to get their hands slapped if they don't encrypt some messages and say, "Oh, that should have been encrypted." So number one. The second thing I want to be able to say, "This service that this developer built over there better satisfy this SLA." So if the SLA is not satisfied, boom, I automatically spin up multiple instances to certify the SLA. Developers unencumbered, they don't even know. So this for me is like, CIO build a platform engineering team using one of the many Supercloud services that allow you to do that and lay down. >> And part of that is that the vendor behavior is such, 'cause the incentive is that they don't necessarily always work together. (John chuckling) I'll give you an example, we're going to hear today from Western Union. They're AWS shop, but they want to go to Google, they want to use some of Google's AI tools 'cause they're good and maybe they're even arguably better, but they're also a Snowflake customer and what you'll hear from them is Amazon and Snowflake are working together so that SageMaker can be integrated with Snowflake but Google said, "No, you want to use our AI tools, you got to use BigQuery." >> Yeah. >> Okay. So they say, "Ah, forget it." So if you have a platform engineering team, you can maybe solve some of that vendor friction and get competitive advantage. >> I think that the future proximity concept that I talk about is like, when you're doing one thing, you want to do another thing. Where do you go to get that thing, right? So that is very important. Like your question, John, is that your point is that AWS is ahead of the pack, which is true, right? They have the >> breadth of >> Infrastructure by a lot >> infrastructure service, right? They breadth of services, right? So, how do you, When do you bring in other cloud providers, right? So I believe that you should standardize on one cloud provider, like that's your primary, and for others, bring them in on as needed basis, in the subsection or sub portfolio of your applications or your platforms, what ever you can. >> So yeah, the Google AI example >> Yeah, I mean, >> Or the Microsoft collaboration software example. I mean there's always or the M and A. >> Yeah, but- >> You're going to get to run Windows, you can run Windows on Amazon, so. >> By the way, Supercloud doesn't mean that you cannot do that. So the perfect example is say that you're using Azure because you have a SQL server intensive workload. >> Yep >> And you're using Google for ML, great. If you are using some differentiated feature of this cloud, you'll have to go somewhere and configure this widget, but what you can abstract with the Supercloud is the lifecycle manage of the service that runs on top, right? So how does the service get deployed, right? How do you monitor performance? How do you lifecycle it? How you secure it that you can abstract and that's the value and eventually value will win. So the customers will find what is the values, obstructing in making it uniform or going deeper? >> How about identity? Like take identity for instance, you know, that's an opportunity to abstract. Whether I use Microsoft Identity or Okta, and I can abstract that. >> Yeah, and then we have APIs and standards that we can use so eventually I think where there is enough pain, the right open source will emerge to solve that problem. >> Dave: Yeah, I can use abstract things like object store, right? That's pretty simple. >> But back to the engineering question though, is that developers, developers, developers, one thing about developers psychology is if something's not right, they say, "Go get fixing. I'm not touching it until you fix it." They're very sticky about, if something's not working, they're not going to do it again, right? So you got to get it right for developers. I mean, they'll maybe tolerate something new, but is the "juice worth the squeeze" as they say, right? So you can't go to direct say, "Hey, it's, what's a work in progress? We're going to get our infrastructure together and the world's going to be great for you, but just hang tight." They're going to be like, "Get your shit together then talk to me." So I think that to me is the question. It's an Ops question, but where's that value for the developer in Supercloud where the capabilities are there, there's less friction, it's simpler, it solves the complexity problem. I don't need these high skilled labor to manage Amazon. I got services exposed. >> That's what we talked about earlier. It's like the Walmart example. They basically, they took away from the developer the need to spin up infrastructure and worry about all the governance. I mean, it's not completely there yet. So the developer could focus on what he or she wanted to do. >> But there's a big, like in our industry, there's a big sort of flaw or the contention between developers and operators. Developers want to be on the cutting edge, right? And operators want to be on the stability, you know, like we want governance. >> Yeah, totally. >> Right, so they want to control, developers are like these little bratty kids, right? And they want Legos, like they want toys, right? Some of them want toys by way. They want Legos, they want to build there and they want make a mess out of it. So you got to make sure. My number one advice in this context is that do it up your application portfolio and, or your platform portfolio if you are an ISV, right? So if you are ISV you most probably, you're building a platform these days, do it up in a way that you can say this portion of our applications and our platform will adhere to what you are saying, standardization, you know, like Kubernetes, like slam dunk, you know, it works across clouds and in your data center hybrid, you know, whole nine yards, but there is some subset on the next door systems of innovation. Everybody has, it doesn't matter if you're DMV of Kansas or you are, you know, metaverse, right? Or Meta company, right, which is Facebook, they have it, they are building something new. For that, give them some freedom to choose different things like play with non-standard things. So that is the mantra for moving forward, for any enterprise. >> Do you think developers are happy with the infrastructure now or are they wanting people to get their act together? I mean, what's your reaction, or you think. >> Developers are happy as long as they can do their stuff, which is running code. They want to write code and innovate. So to me, when Ballmer said, "Developer, develop, Developer, what he meant was, all you other people get your act together so these developers can do their thing, and to me the Supercloud is the way for IT to get there and let developer be creative and go fast. Why not, without getting in trouble. >> Okay, let's wrap up this segment with a super clip. Okay, we're going to do a sound bite that we're going to make into a short video for each of you >> All right >> On you guys summarizing why Supercloud's important, why this next wave is relevant for the practitioners, for the industry and we'll turn this into an Instagram reel, YouTube short. So we'll call it a "Super clip. >> Alright, >> Sarbjeet, you want, you want some time to think about it? You want to go first? Vittorio, you want. >> I just didn't mind. (all laughing) >> No, okay, okay. >> I'll do it again. >> Go back. No, we got a fresh one. We'll going to already got that one in the can. >> I'll go. >> Sarbjeet, you go first. >> I'll go >> What's your super clip? >> In software systems, abstraction is your friend. I always say that. Abstraction is your friend, even if you're super professional developer, abstraction is your friend. We saw from the MFC library from C++ days till today. Abstract, use abstraction. Do not try to reinvent what's already being invented. Leverage cloud, leverage the platform side of the cloud. Not just infrastructure service, but platform as a service side of the cloud as well, and Supercloud is a meta platform built on top of these infrastructure services from three or four or five cloud providers. So use that and embrace the programmability, embrace the abstraction layer. That's the key actually, and developers who are true developers or professional developers as you said, they know that. >> Awesome. Great super clip. Vittorio, another shot at the plate here for super clip. Go. >> Multicloud is awesome. There's a reason why multicloud happened, is because gave our developers the ability to innovate fast and ever before. So if you are embarking on a digital transformation journey, which I call a survival journey, if you're not innovating and transforming, you're not going to be around in business three, five years from now. You have to adopt the Supercloud so the developer can be developer and keep building great, innovating digital experiences for your customers and IT can get in front of it and not get in trouble together. >> Building those super apps with Supercloud. That was a great super clip. Vittorio, thank you for sharing. >> Thanks guys. >> Sarbjeet, thanks for coming on talking about the developer impact Supercloud 2. On our next segment, coming up right now, we're going to hear from Walmart enterprise architect, how they are building and they are continuing to innovate, to build their own Supercloud. Really informative, instructive from a practitioner doing it in real time. Be right back with Walmart here in Palo Alto. Thanks for watching. (gentle music)

>>Hi everyone. Welcome to this special event, pure Storage, the Path to Sustainable it. I'm your host, Lisa Martin. Very pleased to be joined by Nicole Johnson, the head of Social Impact and Sustainability at Pure Storage. Nicole, welcome to the >>Cube. Thanks for having me, Lisa. >>Sustainability is such an important topic to talk about, and I understand that Pure just announced a report today about sustainability. What can you tell me what nuggets are in this report? >>Well, actually quite a few really interesting nuggets, at least for us. And I, I think probably for you and your viewers as well. So we actually commissioned about a thousand sustainability leaders across the globe to understand, you know, what are their sustainability goals, what are they working on, and what are the impacts of buying decisions, particularly around infrastructure when it comes to sustainable goals. I think one of the things that was really interesting for us was the fact that around the world we did not see a significant variation in terms of sustainability being a top priority. You've, I'm sure you've heard about the energy crisis that's happening across Europe. And so, you know, there was some thought that perhaps that might play into AMEA being a larger, you know, having sustainability goals that were more significant. But we actually did not find that we found sustainability to be really important no matter where the respondents were located. >>So, very interesting at pure sustainability is really at the heart of what we do and has been since our founding. It's interesting because we set out to make storage really simple, but it turns out really simple, is also really sustainable and the products and services that we bring to our customers have really powerful outcomes when it comes to decreasing their, their own carbon footprints. And so, you know, we often hear from customers that we've actually really helped them to significantly improve their storage performance, but also allow them to save on space power and cooling costs and, and their footprint. So really significant findings. One example of that is a company called Cengage, which is a global education technology company. They recently shared with us that they have actually been able to reduce their overall storage footprint by 80% while doubling to tripling the performance of their storage systems. So it's really critical for, for companies who are thinking about their sustainability goals, to consider the dynamic between their sustainability program and their IT teams who are making these buying decisions. >>Right? Those two teams need to be really inextricably linked these days. You talked about the fact that there was really consistency across the regions in terms of sustainability being of high priority for organizations. You had a great customer story that you shared that showed significant impact can be made there by bringing the sustainability both together with it. But I'm wondering why are we seeing that so much of the vendor selection process still isn't revolving around sustainability or it's overlooked? What are some of the things that you see despite so many people saying sustainability huge priority? >>Well, in this survey, the most commonly cited challenge was really around the fact that there was a lack of management buy-in. 40% of respondents told us this was the top roadblock. So getting, I think getting that out of the way. And then we also just heard that sustainability teams were not brought into tech purchasing processes until after it's already rolling, right? So they're not even looped in. And that, that being said, you know, we know that it has been identified as one of the key departments to supporting a company's sustainability goals. So we, we really want to ensure that these two teams are talking more to each other. When we look even closer at the data from the respondents, we see some really positive correlations. We see that 65% of respondents reported that they're on track to meet their sustainability goals, and that it, of those 65%, it is significantly engaged with reporting data for those sustainability initiatives. We saw that, that for those who did report, the sustainability is a top priority for vendor selection. They were twice as likely to be on track with their goals and their sustainability directors said that they were getting involved at the beginning of the tech purchasing program. Our process, I'm sorry, rather than towards the end. And so, you know, we know that to curb the impact of climate crisis, we really need to embrace sustainability from a cross-functional viewpoint. >>Definitely has to be cross-functional. So, so strong correlations there in the report that organizations that had closer alignment between the sustainability folks and the IT folks were farther along in their sustainability program development, execution, et cetera, those CO was correlations, were they a surprise? >>Not entirely. You know, when we look at some of the statistics that come from the, you know, places like the World Economic Forum, they say that digitization generated 4% of greenhouse gas emissions in 2020. So, and that, you know, that's now almost three years ago, digital data only accelerates and by 2025, we expect that number could be almost double. And so we know that that communication and that correlation is gonna be really important because data centers are taking up such a huge footprint of when companies are looking at their emissions. And it's, I mean, quite frankly, a really interesting opportunity for it to be a trailblazer in the sustainability journey. And, you know, perhaps people that are in IT haven't thought about how they can make an impact in this area, but there really is some incredible ways to help us work on cutting carbon emissions, both from your company's perspective and from the world's perspective, right? >>Like we are, we're all doing this because it's something that we know we have to do to drive down climate change. So I think when you, when you think about how to be a trailblazer, how to do things differently, how to differentiate your own department, it's a really interesting connection that IT and sustainability work together. I would also say, you know, I'll just note that of the respondents to the survey we were discussing, we do over half of those respondents expect to see closer alignment between the organization's IT and sustainability teams as they move forward. >>And that's really a tip the, to those organizations embracing cultural change. That's always hard to do, but for those two, for sustainability and IT to come together as part of really the overall ethos of an organization, that's huge. And it's great to see the data demonstrating that, that those, that alignment, that close alignment is really on its way to helping organizations across industries make a big impact. And wanna dig in a little bit to peers, ESG goals. What can you share with us about >>That? Absolutely. So as I mentioned, peers kind of at the beginning of our formal ESG journey, but really has been working on the, on the sustainability front for a long time. I would, I, it's funny as we're, as we're doing a lot of this work and, and kind of building our own profile around this, we're coming back to some of the things that we have done in the past that consumers weren't necessarily interested in then, but are now because the world has changed, becoming more and more invested in. So that's exciting. So we did a baseline scope one, two, and three analysis and discovered, interestingly enough that 70% of our emissions comes from use of sold products. So our customers work running our products in their data centers. So we know that we, we've made some ambitious goals around our Scope one and two emissions, which is our own office, our utilities, you know, those, they only account for 6% of our emissions. So we know that to really address the issue of climate change, we need to work on the use of sold products. So we've also made a, a really ambitious commitment to decrease our carbon emissions by 66% per bed per petabyte by 2030 in our products. So decreasing our own carbon footprint, but also affecting our customers as well. And we've also committed to a science based target initiative and our road mapping how to achieve the ambitious goals set out in the Paris agreement. >>That's fantastic. It sounds like you really dialed in on where is the biggest opportunity for us as peer storage to make the biggest impact across our organization, across our customers' organizations. There lofty goals that pure set, but knowing what I know about Pure, you guys are probably well on track to, to accomplish those goals in record time. >>I hope So. >>Talk a little bit about advice that you would give to viewers who might be at the very beginning of their sustainability journey and really wondering what are the core elements besides it, sustainability, team alignment that I need to bring into this program to make it actually successful? >>Yeah, so I think, you know, understanding that you don't have to pick between really powerful technology and sustainable technology. There are opportunities to get both and not just in storage, right in, in your entire IT port portfolio. We know that, you know, we're in a place in the world where we have to look at things from the bigger picture. We have to solve new challenges and we have to approach business a little bit differently. So adopting solutions and services that are environmentally efficient can actually help to scale and deliver more effective and efficient IT solutions over time. So I think that that's something that we need to, to really remind ourselves, right? We have to go about business a little bit differently and that's okay. We also know that data centers utilize an incredible amount of, of energy and, and carbon. And so everything that we can do to drive that down is going to address the sustainability goals for us individually as well as, again, drive down that climate change. So we, we need to get out of the mindset that data centers are, are about reliability, your cost, et cetera. And really think about efficiency and carbon footprint when you're making those business decisions. I'll also say that, you know, the earlier that we can get sustainability teams into the conversation, the more impactful your business decisions are going to be and helping you to guide sustainable decision making. >>So shifting sustainability and it left almost together really shows that the correlation between those folks getting together in the beginning with intention, the report shows and the successes that peers had, demonstrate that that's very impactful for organizations to actually be able to implement even the cultural change that's needed for sustainability programs to be successful. My last question for you goes back to that report. You mentioned in there that the data show a lot of organizations are hampered by management buy-in, where sustainability is concerned. How can pure help its customers navigate around those barriers so that they get that management buy and they understand that the value in it for >>Them? Yeah, so I mean, I think that for me, my advice is always to speak to hearts and minds, right? And help the management to understand, first of all, the impact right on climate change. So I think that's the kind of hearts piece on the mind piece. I think it's addressing the sustainability goals that these companies have set for themselves and helping management understand how to, you know, how their IT buying decisions can actually really help them to reach these goals. We also, you know, we always run kind of TCOs for customers to understand what is the actual cost of, of the equipment. And so, you know, especially if you're in a, in a location in which energy costs are rising, I mean, I think we're seeing that around the world right now with inflation. Better understanding your energy costs can really help your management to understand the, again, the bigger picture and what that total cost is gonna be. Often we see, you know, that maybe the, the person who's buying the IT equipment isn't the same person who's purchasing, who's paying the, the electricity bills, right? And so sometimes even those two teams aren't talking. And there's a great opportunity there, I think, to just to just, you know, look at it from a more high level lens to better understand what total cost of ownership is. >>That's a great point. Great advice. Nicole. Thank you so much for joining me on the program today, talking about the new report that on sustainability that Pure put out some really compelling nuggets in there, but really also some great successes that you've already achieved internally on your own ESG goals and what you're helping customers to achieve in terms of driving down their carbon footprint and emissions. We so appreciate your insights and your thoughts. >>Thank you, Lisa. It's been great speaking with you. >>Pleasure speaking with you as well. We wanna thank you so much for watching. This is Pure Storage, the path to sustainable it. I'm Lisa Martin, we'll see you next time.

(upbeat music) >> Every company needs great salespeople, it's one of the most lucrative professions out there. And there's plenty of wisdom and knowledge that's been gathered over the years about selling. We've heard it all, famous quotes from the greatest salespeople of our time, like Zig Ziglar and Jeffrey Gitomer, and Dale Carnegie and Jack Welch, and many others. Things like, "Each of us has only 24 hours in a day, "it's all about how we use our time." And, "You don't have to be great to start, "but you have to start to be great." And then I love this one, "People hate to be sold, but they love to buy." "There are no traffic jams on the extra mile, "make change before you have to." And the all time classic, "Put that coffee down. "Coffee is for closers." Thousands of pieces of sales advice are readily available in books, videos, on blogs and in podcasts, and many of these are free of charge. So why would entrepreneurs start a company to train salespeople? And how is it that sharp investors are pouring millions of dollars into this space? Hello everyone, and welcome to this Cube Video Exclusive, my name is Dave Vellante, and today we welcome Paul Fifield who's the co-founder and CEO of Sales Impact Academy who's going to answer these questions and share some exciting news on the startups. Paul, welcome to "The Cube" good to see you again. >> Yeah, good to see you again, Dave, great to be here. >> Hey, so before we get into the hard news, tell us a little bit about the Sales Impact Academy, why'd you start the company, maybe some of the fundamentals of this market, your total available market, who you're targeting, you know, what's the premise behind the company? >> Yeah sure. So I mean, I started the company, it was actually pretty organic in the way it began. I had a 10 year career as a CRO and it was, you know, had a couple of great hits with two companies, but it was a real struggle to basically, you know, operate as a CRO and learn your craft at the same time. And so when I left my last company, I kind of got out there, I wanted to kind of give back a little bit and I started doing some voluntary teaching in and around London, and I actually, one of the companies I started was in New York so I got schooled very much on a sort of US approach to how you build a modern you know, go to market and sales operation. Started going out there, doing some teaching, realized that so many people just didn't have a clue about how to build a scalable and predictable revenue function, and I kind of felt sorry for them. So I literally started doing some, you know, online classes myself, got my co-founder Alex to put curriculum together as well and we literally started just doing online classes, very live, very organic, just a Google Drive and some decks, and it really just blew up from there. >> That's amazing. I mean, so you've my, you know, tongue and cheek up front, but people might wonder, why do you need a platform 'cause there's so much free information out there? Is it to organize, is it a discipline thing? Explain that. >> Well, I think the way I sort of see this is that is that the lack of structured learning and education is actually one of the greatest educational travesties, I think, of the last 50 years, okay. Now sales and go to market is a huge global profession, right? Half the world's companies are B2B, so roughly that's a proxy for half the world's GDP, right? Which is $40 trillion of GDP. Now that 40 trillion rests on kind of the success of the growth and the sales functions of all those companies. Yet in its infinite wisdom, the global education system literally just ignored sales and go to market as a profession. Some universities are kind of catching up, but it's really too little too late. So what I sort of say to people, you imagine this Dave, right. You imagine if the way that law worked as a profession let's say, is that there's no law school, there's no law training, there's no even in work professional continuous professional development in law. The way that it works is you leave university, join a company, start practicing law and just use like YouTube just to maybe like, you know, where you're struggling, just use YouTube to like work out what's going on. The legal profession would be in absolute chaos. And that's what's happened in the sales and go to market profession, okay. What this profession desperately desperately needs is structured learning, good pedagogy, good well designed course and curriculum. And here's the other thing, right? Is the sort of paradox of infinite information is that just because all the information is out there, right, doesn't mean it's actually a good learning experience. Like, where do you find it? What's good? What's not good? And also the other thing I'd point out is that there is this kind of myth that all the information is out there on the internet. But actually what we do, and we'll come into it in a second is, the people teaching on our platform are the elite people from the industry. They haven't got time to do blog posts and just explain to people how they operate. They're going from company to company working at like, you know, working at these kind of elite companies. And they're the people that teach, and that information is not readily available and freely out there on the internet. >> Yeah, real opportunity, you made some great points there. I think business schools are finally starting to teach a little bit about public speaking and presenting, but nobody's teaching us how to sell. As Earl Nightingale says, "To some degree we're all salespeople, "selling our family on living the good life" or whatever. What movie we want to see tonight. But okay, let's get to the hard news. You got fresh funding of 22 million, tell us about that, congratulations. You know, the investors, what else can you share with us? >> Sure. Well, I mean, obviously, you know, immensely proud. We started from very sort of humble beginnings, as I said, we've now scaled very rapidly, we're a subscription business, we're a SaaS business. We'll come onto some of the growth metrics shortly, but just in a couple of years, you know, the last year which ended January, we grew 500% from year one, we're now well over 125 people, and I'm very, very, very honored, flattered, humbled that MIT, obviously one of those prestigious universities in the world, has taken a direct investment by their endowment fund, HubSpot Ventures. Another Boston great has also taken a direct investment as well. They actually began as a customer and loved what we were doing so much that they then decided to make an investment. Stage 2 Capital who invested in our seed round pretty much tripled down, played a huge role in helping us assemble MIT and HubSpot ventures as investors, and they continue to be an incredible VC giving us amazing, amazing support that their LP network of go to market leaders is second to none. And then Emerge Education, who is our pre-seed investor, they're actually based in London, also joined this round as well. >> Great, well actually, let's jump ahead. Let's talk about the metrics. I mean, if Stage Two is involved, they're hardcore. What can you share with us about, you know, everybody's chasing AR and NR and the like, what can you share with us? >> They are both pretty important. Well, I think from a headcount perspective, so as I mentioned our fiscal ends at the end of January, each year. We've gone from 25 to over 125 employees in that time. We've gone from 82 to 260 customers also in that time. And customers now include HubSpot, Gong, Klaviyo, GitHub, GT, Six Cents, so some really sort of major SaaS companies in the space. Our revenue's grown significantly with 5X. So 500% increase in revenue year over year, which is pretty fast, very proud of that. Our learning community has gone from over 3000 people to almost 15,000 professionals, and that makes us comfortably, the largest go to market learning community in the world. >> How did you decide when to scale? What were the sort of signals that said to you, "Okay, we're ready, "we have product market fit, "we can now scale the go to market." What were the signals there, Paul? >> Yeah. Well, I mean, I think for a very small team to achieve that level of growth in customers, to be kind of honest with you, like it's the pull that we're getting from the market. And I think the thing that has surprised me the most, perhaps in the last 12 months, is the pull we're getting from the enterprise. We're you know, I can't really announce, we've actually got a huge pilot with one of the largest companies actually in the world which is going fantastically well, our pipeline for enterprise customers is absolutely huge. But as you can imagine, if you've got distributed teams all over the world, we're living and working in this kind of hybrid world, how on earth do you kind of upscale all those people, right, that are, like I say, that are so distributed. It's impossible. Like in work, in the office delivery of training is pretty much dead, right? And so we sort of fill this really big pain, we solved this really, really big pain of how to effectively upskill people through this kind of live curriculum and this live teaching approach that we have. So I think for me, it's the pull that we're getting from the market really meant that you know, we have to double down. There is such a massive TAM, it is absolutely ridiculous. I mean, I think there are 20 million people just in sales and go to market in tech alone, right. And I mentioned to you earlier, half the world's companies effectively, you know, are B2B and therefore represent, you know, at its largest scope, our TAM. >> Excellent, thank you for that. Tell us more about the product and the platform. How's it work if I'm a customer, what type of investment do I have to make both financially? And what's my time commitment? How do you structure that? >> So the model is basically on a seat model. So roughly speaking, every seat's about a thousand dollars per year per rep. The lift is light. So we've got a very low onboarding, it's not a highly complex technical product, right? We've got a vast curriculum of learning that covers learning for, you know, SDRs, and the AEs, and CS reps, and leadership management training. We're developing curriculum for technical pre-sales, we're developing curriculum for revenue operations. And so it's very, very simple. We basically, it's a seat model, people literally just send us the seats and the details, we get people up and running in the platform, they start then enrolling and we have a customer success team that then plots out learning journeys and learning pathways for all of our customers. And actually what's starting to happen now, which is very, very exciting is that, you know, we're actually a key part of people's career development pathway. So to go from you know, SDR1 let's say to SDR2, you have to complete these three courses with Sales Impact Academy, and let's say, get 75% in your exam and it becomes a very powerful and simple way of developing career pathway. >> Yeah, so really detailed curriculum. So I was going to say, do I as a sales professional, do I pick and choose the things that are most relevant for me? Or are people actually going through a journey in career progression, or maybe both? >> Yeah, it's a mixture of both. We tend to see now, we're sort of starting to standardize, but really we're developing enough curriculum that over, let's say a 15 year period, you could start with us as an SDR and then end as a chief revenue officer, you know, running the entire function. This is the other thing about the crazy world of go to market. Very often, people are put into roles and it's sink or swim. There's no real learning that happens, there's no real development that happens before people take these big steps. And what this platform does so beautifully is is it equips people with the right skills and knowledge before they take that next step in their profession and in their career. And it just dramatically improves their chances of succeeding. >> Who are the trainers? Who's leading the classes, how do you find these guys, how do you structure? What are the content, you know, vectors, where's all that come from? >> Yeah. So the sort of secret source of what we do, beyond just the live instruction, beyond the significant amount of peer to peer learning that goes on, is that we go and source the absolute most elite people in go to market to teach, okay. Now I mentioned to you before, you've got these people that are going from like job to job at the very like the sort of peak of their careers, working for these incredible companies, it's that knowledge that we want to get access to, right. And so Stage 2 Capital is an incredible resource. The interesting thing about Stage 2 Capital as you know Dave, you know, run by Mark Roberge, who was on when we spoke last year and also Jay Po is all the LPs of Stage 2 Capital represent 3 to 400 of the most elite go to market professionals in the world. So, you know, about seven or eight of those are now on an advisory board. And so we have access to this incredible pool of talent. And so we know by consulting these amazing people who are the best people in certain aspects of go to market. We reach out to them and very often they're at a stage in their career where they're really kind of willing to give back, of course there are commercials around it as well, and there's lots of other benefits that we provide our teachers and our faculty, and what we call our coaches. But yeah, we source the very, very best people in the world to teach. >> Now, how does it work as a user of your service? Is it all on demand? Do you do live content or a combination? >> Yeah look, one of the big differentiators is this is a live delivery of learning, okay. Most learning online is typically done on demand, self-directed, and there's a ton of research. There's a great blog post on Andrew's recent site. A short time ago, which is talking about how the completion rates of on demand learning are somewhere between 3 and 6%. That is like, that's awful. >> Terrible. >> I was like why bother? However, we're seeing through that live instruction. So we teach two, one hour classes a week, that's it. We're upskilling very busy people, they're stressed, they've got targets. We have to be very, very cognizant of that. So we teach two, one hour classes a week. Typically, you know, Monday and a Wednesday, or a Tuesday and a Thursday. And that pace of learning is about right, it's kind of how humans learn as well. You know, short bursts of information, and then put that learning and those skills that you've acquired in class literally to work minutes after the class finishes. And so through that, and it sits in your calendar like a meeting, it doesn't feel overwhelming, you're learning together as a team as well. And all that combined, we see completion rates often in excess of 80% for our courses. >> Okay, so they block that time out- >> In the calendar, yeah. >> And they make an investment. Go ahead, please. >> Yeah yeah, exactly, sorry Dave. Yeah, yeah, exactly. So like, you know, we have course lengths. So one of our shorter courses are like four hours long over two weeks. And again, it's just literally in the calendar. We also teach what we call The Magic Learning Hour. And the magic learning hour is this one specific hour in the day that enables teams all over the western hemisphere to join the same class. And that magic learning hour is eight o'clock Pacific 11 o'clock Eastern, >> 4: 00 PM over in the UK, and 5:00 PM in the rest of Europe. And that one time in the day means that these enterprises have got teams all over the western hemisphere joining that class, learning together as a team, plus it's in the calendar and it's that approach is why we're seeing such high engagement and completion. >> That's very cool, the time zone thing. Now who's the target buyer? Are you selling only to sales teams? Can I as an individual purchase your service? >> Yeah, that's a good question. Currently it's a very much like a B2B motion. As I mentioned earlier on, we're getting an enormous pull from the enterprise, which is very exciting. You know, we have an enterprise segment, we have sort of more of a startup earlier stage segment, and then we have a mid-market segment that we call our sort of strategic, and that's typically and most of like venture backed, fast growth tech companies. So very much at the moment a B2B motion. We're launching our own technology platform in the early summer, and then later on this year we're going to be adding what's called PLG or a product led growth, so individuals can actually sign up to SIA. >> Yeah, I mean, I think you said $1,000 per year per rep, is that right? I mean, that's- >> Yeah. >> That's a small investment for an individual that wants to be part of, you know, this community and grow his or her career. So that's the growth plan? You go down market I would imagine, you talked about the western hemisphere, there's international opportunities maybe, local language. What's the growth plan? >> Yeah, I mean look, we've identified the magic learning hour for the middle east and APAC, which is eight o'clock in the morning in Istanbul, right. Is 5:00 PM in Auckland, it's quite fun trying to work out like what this optimum magic learning hour is. What's incredible is we teach in that time and that opens up the whole of the middle east and the whole of APAC, right, right down to Australia. And so once we're teaching the curriculum in those two slots, that means literally you can have teams in any country in the world, I think apart from Hawaii, you can actually access our live learning products in work time and that's incredibly powerful. So we have so many like axis of growth, we've got single users as I mentioned, but really Dave that's single users we'll be winning from the enterprise and that will represent pipeline that we could then potentially convert as well. And look, you make a very good point. You know, we've seen students are now leaving university with over $100,000 dollars in debt. We've got a massive, massive debt problem here in the US with student debt. You could absolutely sign up to our platform at let's say a hundred bucks a month, right. And probably within six months, gain enough knowledge and skill to walk into a $60,000 a year based salary job as an SDR, that's a huge entry level salary. And you could do that without even going to university. So there could be a time here where we become a really viable alternative to actually even going to university. >> I love it. The cost education going through the roof, it's out of reach for so many people. Paul, congratulations on the progress, the fresh funding. Great to have you back in "The Cube." We'd love to have you back and follow your ascendancy. I think great things ahead for you guys. >> Thank you very much, Dave. >> All right, and thank you for watching. This is Dave Vellante for "The Cube, we'll see you next time. (upbeat music)

(gentle upbeat music) >> People hate to be sold, but they love to buy. We become what we think about, think, and grow rich. If you want to gather honey, don't kick over the beehive. The world is replete with time-tested advice and motivational ideas for aspiring salespeople, Dale Carnegie, Napoleon Hill, Norman Vincent Peale, Earl Nightingale, and many others have all published classics with guidance that when followed closely, almost always leads to success. More modern personalities have emerged in the internet era, like Tony Robbins, and Gary Vaynerchuk, and Angela Duckworth. But for the most part, they've continued to rely on book publishing, seminars, and high value consulting to peddle their insights and inspire action. Welcome to this video exclusive on theCUBE. This is Dave Vellante, and I'm pleased to welcome back Professor Mark Roberge, who is one of the Managing Directors at Stage 2 Capital, and Paul Fifield, who's the CEO and Co-Founder of Sales Impact Academy. Gentlemen, welcome. Great to see you. >> You too Dave and thanks. >> All right, let's get right into it. Paul, you guys are announcing today a $4 million financing round. It comprises $3 million in a seed round led by Stage 2 and a million dollar in debt financing. So, first of all, congratulations. Paul, why did you start Sales Impact Academy? >> Cool, well, I think my background is sort of two times CRO, so I've built two reasonably successful companies. Built a hundred plus person teams. And so I've got kind of this firsthand experience of having to learn literally everything on the job whilst delivering these very kind of rapid, like achieving these very rapid growth targets. And so when I came out of those two journeys, I literally just started doing some voluntary teaching in and around London where I now live. I spend a bunch of time over in New York, and literally started this because I wanted to sort of kind of give back, but just really wanted to start helping people who were just really, really struggling in high pressure environments. And that's both leadership from sense of revenue leadership people, right down to sort of frontline SDRs. And I think as I started just doing this voluntary teaching, I kind of realized that actually the sort of global education system has done is a massive, massive disservice, right? I actually call it the greatest educational travesty of the last 50 years, where higher education has entirely overlooked sales as a profession. And the knock-on consequences of that have been absolutely disastrous for our profession. Partly that the profession is seen as a bit sort of embarrassing to be a part of. You kind of like go get a sales job if you can't get a degree. But more than that, the core fundamental within revenue teams and within sales people is now completely lacking 'cause there's no structured formal kind of like learning out there. So that's really the problem we're trying to solve on the kind of like the skill side. >> Great. Okay. And mark, always good to have you on, and I got to ask you. So even though, I know this is the wheelhouse for you and your partners, and of course, you've got a deep bench of LPs, but lay out the investment thesis here. What's the core problem that you saw and how are you looking at the market? >> Yeah, sure, Dave. So this one was a special one for me. We've spoken in the past. I mean, just personally I've always had a similar passion to Paul that it's amazing how important sales execution is to all companies, nevermind just the startup ecosystem. And I've always personally been motivated by anything that can help the startup ecosystem increase their success. Part of why I teach at Harvard and try to change some of the stuff that Paul's talking about, which is like, it's amazing how little education is done around sales. But in this particular one, not only personally was I excited about, but from a fun perspective, we've got to look at the economic outcomes. And we've been thinking a lot about the sales tech stack. It's evolved a ton in the last couple of decades. We've gone from the late '90s where every sales VP was just, they had a thing called the CRM that none of their reps even used, right? And we've come so far in 20 years, we've got all these amazing tools that help us cold call, that help us send emails efficiently and automatically and track everything, but nothing's really happened on the education side. And that's really the enormous gap that we've seen is, these organizations being much more proactive around adopting technology that can prove sales execution, but nothing on the education side. And the other piece that we saw is, it's almost like all these companies are reinventing the wheel of looking in the upcoming year, having a dozen sales people to hire, and trying to put together a sales enablement program within their organization to teach salespeople sales 101. Like how to find a champion, how to develop a budget, how to develop sense of urgency. And what Paul and team can do in the first phase of essay, is can sort of centralize that, so that all of these organizations can benefit from the best content and the best instructors for their team. >> So Paul, exactly, thank you, mark. Exactly what do you guys do? What do you sell? I'm curious, is this sort of, I'm thinking in my head, is this E-learning, is it really part of the sales stack? Maybe you could help us understand that better. >> Well, I think this problem of having to upscale teams has been around like forever. And kind of going back to the kind of education problem, it's what's wild is that we would never accept this of our lawyers, our accountants, or HR professionals. Imagine like someone in your finance team arriving on day one and they're searching YouTube to try and work out how to like put a balance sheet together. So it's a chronic, chronic problem. And so the way that we're addressing this, and I think the problem is well understood, but there's always been a terrible market, sort of product market fit for how the problem gets solved. So as mark was saying, typically it's in-house revenue leaders who themselves have got massive gaps in their knowledge, hack together some internal learning that is just pretty poor, 'cause it's not really their skillset. The other alternative is bringing in really expensive consultants, but they're consultants with a very single worldview and the complexity of a modern revenue organization is very, very high these days. And so one consultant is not going to really kind of like cover every topic you need. And then there's the kind of like fairly old fashioned sales training companies that just come in, one big hit, super expensive and then sort of leave again. So the sort of product market fit to solve, has always been a bit pretty bad. So what we've done is we've created a subscription model. We've essentially productized skills development. The way that we've done that is we teach live instruction. So one of the big challenges Andreessen Horowitz put a post out around this so quite recently, one of the big problems of online learning is that this kind of huge repository of online learning, which puts all the onus on the learner to have the discipline to go through these courses and consume them in an on-demand way is actually they're pretty ineffective. We see sort of completion rates of like 7 to 8%. So we've always gone from a live instruction model. So the sort of ingredients are the absolute very best people in the world in their very specific skill teaching live classes just two hours per week. So we're not overwhelming the learners who are already in work, and they have targets, and they've got a lot of pressure. And we have courses that last maybe four to like 12 hours over two to sort of six to seven weeks. So highly practical live instruction. We have 70, 80, sometimes even 90% completion rates of the sort of live class experience, and then teams then rapidly put that best practice into practice and see amazing results in things like top of funnel, or conversion, or retention. >> So live is compulsory and I presume on-demand? If you want to refresh you have an on demand option? >> Yeah, everything's recorded, so you can kind of catch up on a class if you've missed it, But that live instruction is powerful because it's kind of in your calendar, right? So you show up. But the really powerful thing, actually, is that entire teams within companies can actually learn at exactly the same pace. So we teach it eight o'clock Pacific, 11 o'clock Eastern, >> 4: 00 PM in the UK, and 5:00 PM Europe. So your entire European and North American teams can literally learn in the same class with a world-class expert, like a Mark, or like a Kevin Dorsey, or like Greg Holmes from Zoom. And you're learning from these incredible people. Class finishes, teams can come back together, talk about this incredible best practice they've just learned, and then immediately put it into practice. And that's where we're seeing these incredible, kind of almost instant impact on performance at real scale. >> So, Mark, in thinking about your investment, you must've been thinking about, okay, how do we scale this thing? You've got an instructor component, you've got this live piece. How are you thinking about that at scale? >> Yeah, there's a lot of different business model options there. And I actually think multiple of them are achievable in the longer term. That's something we've been working with Paul quite a bit, is like, they're all quite compelling. So just trying to think about which two to start with. But I think you've seen a lot of this in education models today. Is a mixture of on-demand with prerecorded. And so I think that will be the starting point. And I think from a scalability standpoint, we were also, we don't always try to do this with our investments, but clearly our LP base or limited partner base was going to be a key ingredient to at least the first cycle of this business. You know, our VC firm's backed by over 250 CRO CMOs heads of customer success, all of which are prospective instructors, prospective content developers, and prospective customers. So that was a little nicety around the scale and investment thesis for this one. >> And what's in it for them? I mean, they get paid. Obviously, you have a stake in the game, but what's in it for the instructors. They get paid on a sort of a per course basis? How does that model work? >> Yeah, we have a development fee for each kind of hour of teaching that gets created So we've mapped out a pretty significant curriculum. And we have about 250 hours of life teaching now already written. We actually think it's going to be about 3000 hours of learning before you get even close to a complete curriculum for every aspect of a revenue organization from revenue operations, to customer success, to marketing, to sales, to leadership, and management. But we have a development fee per class, and we have a teaching fee as well. >> Yeah, so, I mean, I think you guys, it's really an underserved market, and then when you think about it, most organizations, they just don't invest in training. And so, I mean, I would think you'd want to take it, I don't know what the right number is, 5, 10% of your sales budget and actually put it on this and the return would be enormous. How do you guys think about the market size? Like I said before, is it E-learning, is it part of the CRM stack? How do you size this market? >> Well, I think for us it's service to people. A highly skilled sales rep with an email address, a phone and a spreadsheet would do really well, okay? You don't need this world-class tech stack to do well in sales. You need the skills to be able to do the job. But the reverse, that's not true, right? An unskilled person with a world-class tech stack won't do well. And so fundamentally, the skill level of your team is the number one most important thing to get right to be successful in revenue. But as I said before, the product market for it to solve that problem, has been pretty terrible. So we see ourselves 100%. And so if you're looking at like a com, you look at Gong, who we've just signed as a customer, which is fantastic. Gong has a technology that helps salespeople do better through call recording. You have Outreach, who is also a customer. They have technologies that help SDRs be more efficient in outreach. And now you have Sales Impact Academy, and we help with skills development of your team, of the entirety of your revenue function. So we absolutely see ourselves as a key part of that stack. In terms of the TAM, 60 million people in sales are on, according to LinkedIn. You're probably talking 150 million people in go to market to include all of the different roles. 50% of the world's companies are B2B. The TAM is huge. But what blows my mind, and this kind of goes back to this why the global education system has overlooked this because essentially if half the world's companies are B2B, that's probably a proxy for the half of the world's GDP, Half of the world's economic growth is relying on the revenue function of half the world's companies, and they don't really know what they're doing, (laughs) which is absolutely staggering. And if we can solve that in a meaningfully meaningful way at massive scale, then the impact should be absolutely enormous. >> So, Mark, no lack of TAM. I know that you guys at Stage 2, you're also very much focused on the metrics. You have a fundamental philosophy that your product market fit and retention should come before hyper growth. So what were the metrics that enticed you to make this investment? >> Yeah, it's a good question, Dave, 'cause that's where we always look first, which I think is a little different than most early stage investors. There's a big, I guess, meme, triple, triple, double, double that's popular in Silicon Valley these days, which refers to triple your revenue in year one, triple your revenue in year two, double in year three, and four, and five. And that type of a hyper growth is critical, but it's often jumped too quickly in our opinion. That there's a premature victory called on product market fit, which kills a larger percentage of businesses than is necessary. And so with all our investments, we look very heavily first at user engagement, any early indicators of user retention. And the numbers were just off the charts for SIA in terms of the customers, in terms of the NPS scores that they were getting on their sessions, in terms of the completion rate on their courses, in terms of the customers that started with a couple of seats and expanded to more seats once they got a taste of the program. So that's where we look first as a strong foundation to build a scalable business, and it was off the charts positive for SIA. >> So how about the competition? If I Google sales training software, I'll get like dozens of companies. Lessonly, and MindTickle, or Brainshark will come up, that's not really a fit. So how do you think about the competition? How are you different? >> Yeah, well, one thing we try and avoid is any reference to sales training, 'cause that really sort of speaks to this very old kind of fashioned way of doing this. And I actually think that from a pure pedagogy perspective, so from a pure learning design perspective, the old fashioned way of doing sales training was pull a whole team off site, usually in a really terrible hotel with no windows for a day or two. And that's it, that's your learning experience. And that's not how human beings learn, right? So just even if the content was fantastic, the learning experience was so terrible, it was just very kind of ineffective. So we sort of avoid kind of like sales training, The likes of MindTickle, we're actually talking to them at the moment about a partnership there. They're a platform play, and we're certainly building a platform, but we're very much about the live instruction and creating the biggest curriculum and the broadest curriculum on the internet, in the world, basically, for revenue teams. So the competition is kind of interesting 'cause there is not really a direct subscription-based live like learning offering out there. There's some similar ish companies. I honestly think at the moment it's kind of status quo. We're genuinely creating a new category of in-work learning for revenue teams. And so we're in this kind of semi and sort of evangelical sort of phase. So really, status quo is one of the biggest sort of competitors. But if you think about some of those old, old fashioned sort of Miller Heimans, and then perhaps even like Sandlers, there's an analogy perhaps here, which is kind of interesting, which is a little bit like Siebel and Salesforce in the sort of late '90s, where in Siebel you have this kind of old way of doing things. It was a little bit ineffective. It was really expensive. Not accessible to a huge space of the market. And Salesforce came along and said, "Hey, we're going to create this cool thing. It's going to be through the browser, it's going to be accessible to everyone, and it's going to be really, really effective." And so there's some really kind of interesting parallels almost between like Siebel and Salesforce and what we're doing to completely kind of upend the sort of the old fashioned way of delivering sort of sales training, if you like. >> And your target customer profile is, you're selling to teams, right? B2B teams, right? It's not for individuals. Is that correct, Paul? >> Currently. Yeah, yeah. So currently we've got a big foothold in series A to series B. So broadly speaking out, our target market currently is really fast growth technology companies. That's the sector that we're really focusing on. We've got a very good strong foothold in series A series B companies. We've now won some much larger later stage companies. We've actually even won a couple of corporates, I can't say names yet, but names that are very, very, very familiar and we're incredibly excited by them, which could end up being thousand plus seat deals 'cause we do this on a per seat basis. But yeah, very much at the moment it's fast growth tech companies, and we're sort of moving up the chain towards enterprise. >> And how do you deal with the sort of maturity curve, if you will, of your students? You've got some that are brand new, just fresh out of school. You've got others that are more seasoned. What do you do, pop them into different points of the curriculum? How do you handle it? >> Yeah we have, I'll say we have about 30 courses right now. We have about another 15 in development where post this fundraise, we want to be able to get to around about 20 courses that we're developing every quarter and getting out to market. So we're literally, we've sort of identified about 20 to 25 key roles across everything within revenue. That's, let's say revenue ops, customer success, account management, sales, engineering, all these different kinds of roles. And we are literally plotting the sort of skills development for these individuals over multiple, multiple years. And I think what we've never ceases to amaze me is actually the breadth of learning in revenue is absolutely enormous. And what kind of just makes you laugh is, this is all of this knowledge that we're now creating it's what companies just hope that their teams somehow acquire through osmosis, through blogs, through events. And it's just kind of crazy that there is... It's absolutely insane that we don't already exist, basically. >> And if I understand it correctly, just from looking at your website, you've got the entry level package. I think it's up to 15 seats, and then you scale up from there, correct? Is it sort of as a seat-based license model? >> Yeah, it's a seat-based model, as Mark mentioned. In some cases we sell, let's say 20 or $30,000 deal out the gate and that's most of the team. That will be maybe a series A, series B deal, but then we've got these land and expand models that are working tremendously well. We have seven, eight customers in Q1 that have doubled their spend Q2. That's the impact that they're seeing. And our net revenue retention number for Q2 is looking like it's going to be 177% to think exceeds companies like Snowflakes. Well, our underlying retention metrics, because people are seeing this incredible impact on teams and performance, is really, really strong. >> That's a nice metric compare with Snowflake (Paul laughs) It's all right. (Dave and Paul laugh) >> So, Mark, this is a larger investment for Stage 2 You guys have been growing and sort of upping your game. And maybe talk about that a little bit. >> Yeah, we're in the middle of Fund II right now. So, Fund I was in 2018. We were doing smaller checks. It was our first time out of the gate. The mission has really taken of, our LP base has really taken off. And so this deal looks a lot like more like our second fund. We'll actually make an announcement in a few weeks now that we've closed that out. But it's a much larger fund and our first investments should be in that 2 to $3 million range. >> Hey, Paul, what are you going to do with the money? What are the use of funds? >> Put it on black, (chuckles) we're going to like- (Dave laughs) >> Saratoga is open. (laughs) (Mark laughs) >> We're going to, look, the curriculum development for us is absolutely everything, but we're also going to be investing in building our own technology platform as well. And there are some other really important aspects to the kind of overall offering. We're looking at building an assessment tool so we can actually kind of like start to assess skills across teams. We certify every course has an exam, so we want to get more robust around the certification as well, because we're hoping that our certification becomes the global standard in understanding for the first time in the industry what individual competencies and skills people have, which will be huge. So we have a broad range of things that we want to start initiating now. But I just wanted to quickly say Stage 2 has been nothing short of incredible in every kind of which way. Of course, this investment, the fit is kind of insane, but the LPs have been extraordinary in helping. We've got a huge number of them are now customers very quickly. Mark and the team are helping enormously on our own kind of like go to market and metrics. I've been doing this for 20 years. I've raised over 100 million myself in venture capital. I've never known a venture capital firm with such value add like ever, or even heard of other people getting the kind of value add that we're getting. So I just wanted to a quick shout out for Stage 2. >> Quite a testimony of you guys. Definitely Stage 2 punches above its weight. Guys, we'll leave it there. Thanks so much for coming on. Good luck and we'll be watching. Appreciate your time. >> Thanks, Dave. >> Thank you very much. >> All right, thank you everybody for watching this Cube conversation. This is Dave Vellante, and we'll see you next time.

>>Yeah. >>Okay. Now we're going to look deeper into the intersection of technology and money and actually a force for good mobile. And the infrastructure around it has made sending money as easy as sending a text. But the capabilities that enable this to happen are quite amazing, especially because as users, we don't see the underlying complexity of the transactions. We just enjoy the benefits. And there's many parts of the world that historically have not been able to enjoy the benefits. And the ecosystems that are developing around these new platforms are truly transformative. And with me to explain, the business impacts of these innovations is all a person who is the head of mobile financial services at Ericsson Ola. Welcome to the program. Thanks for coming on. >>Thank you. Dave, Thank you for having me here in the program and really excited to tell me. Tell us about the product that we have within Ericsson. >>Okay, well, let's get right into it. I mean, your firm has developed the Ericsson wallet platform. What is that? Yes, >>so? So the wallet platform is one of the product, but, I mean, you can say offer here by Ericsson and the platform is built on enabled financial services not for only the bank segment, but also for the unbanked. And we have, you know, the function that we are providing as such Here is, uh, both transfer the service provided payment. You have the cash in the cash out. You have a lot of other feature that we kind of a neighbor through the ecosystem as such. And, uh, I would really like you say, to emphasize on on the use, and they really I'll say, uh, connectivity that we have in this platform here because, uh, looking at you can say the pandemic as such here. Now, we really have made you can say tremendous Shane here through all the functions etcetera feature that we have here. >>Yeah, so, I mean, I'm surrounded by banks in Massachusetts, right? No problem. I'm Boston, right? So But there's a lot of places in the world that that aren't I take for granted some of the capabilities that are there, but so part of this is to enable people who don't have access to those types of services. So maybe you could talk about that and talk about some of the things that you're enabling with the platform, >>right? So So you just think of their You can say unbanked people here, But we have across the emerging market. I think we have one point, you know, seven billion unbanked people here, but we actually can, through wallet platform enabled through getting a bank account, etcetera, and so on here and what we're actually providing you can say in this, uh, this feature is here is that you can pay your electricity bill, for example, Here, you can pay your your bill and you you can go through merchants. You can do the cashed out. You can do multiple thing here, just like I mean to to enable the the question that financial inclusion as well. So I mean I mean from from my point of view, where we're sitting, as I said, we also sitting in Sweden, we have bank account. We have something called swish where we send you can say money back, back and forward between the family, etcetera. So, on this type of transaction, we can and have enabled for all you can say, the user that I come across the the platform here and the kind of growth that we have within this usage here and and we're seeing also. I mean, we leverage here to get with a speed today on a fantastic scale that we actually have here with our our both you can say feature performers going, I will say, Really in in in in a in the direction that we couldn't imagine here you can say a few years back here. So it is fantastic transformation that we undergo here through through the platform of the technology that we have. >>You know, it reminds me of sort of the early days of mobile people talked about being able to connect, you know, remote users in places like Africa or other parts of the world that that haven't been able to enjoy things like a landline. Uh, and so I presume you're seeing a lot of interest in in those types of regions. Maybe you could talk about that a little bit. >>Yeah. Yeah, correct. I mean, I mean, we we see all of this region here, but for for example, Uh uh. Now, we we, uh we were not only entering, you can say the the, uh, specifically the African region, but also you can say the Middle East and the the the A C a specific and also actually Latin America. I mean, a lot of this country here are looking into you can say the expansion, how they can evolve. You can say the financial inclusion from what they have today, when they are, and you can say firm telecom provider, they would like to have an asset of different use case here, and we're seeing that transformation. But we have right now from just voice, you can say SMS and five year etcetera so on. This is the platform that we have to sort of enable the transaction for for a mobile financial system. But we would like also to see that the kind of operator or evolving the business with much more feature here. And this is another. You can say I was attraction to attract the user with the mobile transfer system. So we we we see this kind of expanding very heavily in this this kind of market. >>I think this is really transformative. I mean, in terms of people's lives. I mean, first of all, you're talking about the convenience of being able to move money as bits as opposed to paper, but as well I would think supporting entrepreneurship and business is getting started. I mean, there's a whole set of cultural and societal impacts that that you're having. How do you see that >>we we also providing you say I mean the world to such is also supporting, say microloans and need as an entrepreneur is to sort of start you can say any kind of company, but you need to kind of business around here. So we have seen that we have sort of enterprise services across function and the whole asset that we are that we are into today >>talking a little bit >>about >>partnerships and the ecosystems. I know you've got big partnerships with HPD. We're going to get to that. They're kind of a technology operator, but But what about, you know, other partnerships, like, I'm imagining that if I'm gonna pay my my my bill with this, you've got other providers that got to connect into your platform. So So how are those ecosystem partnerships evolving? >>Well, we are kind of the enabler, but we are providing to the operator the partnerships is then going through the operator. It could be any kind of you can say external instrument that we have today and the kind of you can go directly to the bank. You can go directly to any court provider. You have these amongst the court, etcetera and so on. But these are all partners of the and you can stay connected through there. You can say operator assault today. So what we're doing actually, with our platform is to kind of make the enable them to kind of provide the food ecosystem as partnership to to operate as us today. Here, So that that's kind of the baseline that we see how you can say we are sort of supporting of building the full ecosystem around the platform in order to connect here has come to both the like, the card. As I said here, the merchant, the bank, any kind of type of you can say I will say service provider here, but that we can see could enable the ecosystem >>okay. And so I mean, I don't want to geek out here, but it sounds like it's an open system that my developers can plug into through a p i s They're not gonna throw cold water on that. They're going to embrace it. So yeah, this is actually easy for me to integrate with, Is that correct? >>Correct. Correct. And they open API that we're actually providing today. I think that you can say there are five thousands of you can say developer, just you can say connecting to our system. And actually, we're also providing both sandbox and and other application in order to support this developers in order to to kind of create this ecosystem here. So it's a multiple things that we we see through you can say, hear, hear the both the partners partnership the open API or you can say the development that is doing through through the channels. So I mean, it's a fascinating, amazing development that we see up front here right now. >>Now, what's H. P s role in all this? What are they providing? How are you partnering with them? >>So it's very good question, I would say. And we we look back, you can say and we we have evaluated a lot of you say that the provider fruit year here, And, uh, you can just imagine the the kind of, uh, stability that we need to provide when it comes to the financial inclusion system here because what we need to have a very strong uptake of, uh, making sure that we don't both go with the performance and the stability and what we have seen in our lab is that hypocrisy today is we have domestically evolved how you can say our stability assessed on the system. And right now we are leveraging the the dog is with the microservices here, together with HV on the platform that you're providing. So I will say that the transformation we have done in the stability that we have get through the food. You can say HP system is really fantastic at the moment. >>Well, and you know, I'm no security expert, but I talked to a lot of security experts and what I what I do know is they tell me that that you can't just bolt security on. It's got to be designed in from the start. I would imagine that that's part of the HPD partnership. But what about security? Can I fully trust this platform >>now? It's It's very, very valid question. I would say we we have one of the most you can say secure system here were also running multiple external. You can say, uh, system validation there is called The PNDs s certification is a certification, But we we have external auditor, you can say trying to breach the system. Look at the process that we are developing making sure that we have You can say all of you can say the documentation really in shape and seeing that we follow the procedure when we are both developing the code and and also when we're looking into all the a p I s that were actually exposed to to to our end users. So I would say that we haven't had any bridge on our system and we we really working tightly. I'll say both together with I'll say, H b and and of course, the the customer, such and? And every time we do a Lawrence, we also make you can say final security validation on the system here in order to sort of see that we have and and two and because the application that is completely secure, So so that that that that's a very, very important topic. For from our point of view, >>Yeah, because it's the usual. I don't even want to think about that. Like I set up front. It's It's got to be hidden from me, all that complexity. But there's sort of the same question around compliance and privacy. I mean, often security, privacy. There's sort of two sides of the same coin, but compliance privacy You've got to worry about K. Y. C Know your customer? Uh, there's a lot of complexity around that, and and so that's another key piece. >>Mhm Now. Like you said, the K Y C is an important part that we have fully support in our system and we validate. You can say all the uses We we also are running, You can say with our credit scoring companies that the you can say our operator or are partnering with. So this combined, you can say, with both the K Y C and then and the credit scoring. But there were performing that. Let's make us a very you can say unique, stable platform as such. >>Okay, last question is, is what about going forward? What's the road map look like? What can you share? What should we expect going forward in terms of the impact that this will have on society and how the technology will evolve. >>Well, what is he going forward? And that's a very interesting question, because what we what we see right now is how we we we kind of have changed the life for for so many. You can say unbanked people here and we would like to have You can say, uh, any kind of assets that going forward here, any kind of you can see that the digital currency is a bouldering through both government. You can see over top players like Google. You can say, What's up all of these things. Here we want to be the one, but also connecting. You can say this type of platform together and see that we could be the heart of the ecosystem going forward here, independent in what kind of you can say customer we're aiming for. So I would say this This is kind of the role that we will play in the future here, depending on what kind of currency it would be. So it's very interesting future we see. With this, you can say abroad digital currency in the market and the trends that we are now right now, evolving on >>very exciting when we're talking about elevating, you know, potentially billions of people all, uh, thanks very much for sharing this innovation with the audience. And best of luck with this incredible platform. Congratulations. >>Thank you so much, Dave. And once again, thank you for having me here, and I'll talk to you soon again. Thank you. >>Thank you. It's been our pleasure. And thank you for watching. This is Dave Valenti. >>Yeah. Mhm. Yeah. Mhm. Okay.

>>from around the globe. It's the Q with digital coverage of exa scale day made possible by Hewlett Packard Enterprise. Welcome, everyone to the Cube celebration of Exa Scale Day. Shaheen Khan is here. He's the founding partner, an analyst at Orion X And, among other things, he is the co host of Radio free HPC Shaheen. Welcome. Thanks for coming on. >>Thanks for being here, Dave. Great to be here. How are you >>doing? Well, thanks. Crazy with doing these things, Cove in remote interviews. I wish we were face to face at us at a supercomputer show, but, hey, this thing is working. We can still have great conversations. And And I love talking to analysts like you because you bring an independent perspective. You're very wide observation space. So So let me, Like many analysts, you probably have sort of a mental model or a market model that you look at. So maybe talk about your your work, how you look at the market, and we could get into some of the mega trends that you see >>very well. Very well. Let me just quickly set the scene. We fundamentally track the megatrends of the Information Age And, of course, because we're in the information age, digital transformation falls out of that. And the megatrends that drive that in our mind is Ayotte, because that's the fountain of data five G. Because that's how it's gonna get communicated ai and HBC because that's how we're gonna make sense of it Blockchain and Cryptocurrencies because that's how it's gonna get transacted on. That's how value is going to get transferred from the place took place and then finally, quantum computing, because that exemplifies how things are gonna get accelerated. >>So let me ask you So I spent a lot of time, but I D. C and I had the pleasure of of the High Performance computing group reported into me. I wasn't an HPC analyst, but over time you listen to those guys, you learning. And as I recall, it was HPC was everywhere, and it sounds like we're still seeing that trend where, whether it was, you know, the Internet itself were certainly big data, you know, coming into play. Uh, you know, defense, obviously. But is your background mawr HPC or so that these other technologies that you're talking about it sounds like it's your high performance computing expert market watcher. And then you see it permeating into all these trends. Is that a fair statement? >>That's a fair statement. I did grow up in HPC. My first job out of school was working for an IBM fellow doing payroll processing in the old days on and and And it went from there, I worked for Cray Research. I worked for floating point systems, so I grew up in HPC. But then, over time, uh, we had experiences outside of HPC. So for a number of years, I had to go do commercial enterprise computing and learn about transaction processing and business intelligence and, you know, data warehousing and things like that, and then e commerce and then Web technology. So over time it's sort of expanded. But HPC is a like a bug. You get it and you can't get rid of because it's just so inspiring. So supercomputing has always been my home, so to say >>well and so the reason I ask is I wanted to touch on a little history of the industry is there was kind of a renaissance in many, many years ago, and you had all these startups you had Kendall Square Research Danny Hillis thinking machines. You had convex trying to make many supercomputers. And it was just this This is, you know, tons of money flowing in and and then, you know, things kind of consolidate a little bit and, uh, things got very, very specialized. And then with the big data craze, you know, we've seen HPC really at the heart of all that. So what's your take on on the ebb and flow of the HPC business and how it's evolved? >>Well, HBC was always trying to make sense of the world, was trying to make sense of nature. And of course, as much as we do know about nature, there's a lot we don't know about nature and problems in nature are you can classify those problems into basically linear and nonlinear problems. The linear ones are easy. They've already been solved. The nonlinear wants. Some of them are easy. Many of them are hard, the nonlinear, hard, chaotic. All of those problems are the ones that you really need to solve. The closer you get. So HBC was basically marching along trying to solve these things. It had a whole process, you know, with the scientific method going way back to Galileo, the experimentation that was part of it. And then between theory, you got to look at the experiment and the data. You kind of theorize things. And then you experimented to prove the theories and then simulation and using the computers to validate some things eventually became a third pillar of off science. On you had theory, experiment and simulation. So all of that was going on until the rest of the world, thanks to digitization, started needing some of those same techniques. Why? Because you've got too much data. Simply, there's too much data to ship to the cloud. There's too much data to, uh, make sense of without math and science. So now enterprise computing problems are starting to look like scientific problems. Enterprise data centers are starting to look like national lab data centers, and there is that sort of a convergence that has been taking place gradually, really over the past 34 decades. And it's starting to look really, really now >>interesting, I want I want to ask you about. I was like to talk to analysts about, you know, competition. The competitive landscape is the competition in HPC. Is it between vendors or countries? >>Well, this is a very interesting thing you're saying, because our other thesis is that we are moving a little bit beyond geopolitics to techno politics. And there are now, uh, imperatives at the political level that are driving some of these decisions. Obviously, five G is very visible as as as a piece of technology that is now in the middle of political discussions. Covert 19 as you mentioned itself, is a challenge that is a global challenge that needs to be solved at that level. Ai, who has access to how much data and what sort of algorithms. And it turns out as we all know that for a I, you need a lot more data than you thought. You do so suddenly. Data superiority is more important perhaps than even. It can lead to information superiority. So, yeah, that's really all happening. But the actors, of course, continue to be the vendors that are the embodiment of the algorithms and the data and the systems and infrastructure that feed the applications. So to say >>so let's get into some of these mega trends, and maybe I'll ask you some Colombo questions and weaken geek out a little bit. Let's start with a you know, again, it was one of this when I started the industry. It's all it was a i expert systems. It was all the rage. And then we should have had this long ai winter, even though, you know, the technology never went away. But But there were at least two things that happened. You had all this data on then the cost of computing. You know, declines came down so so rapidly over the years. So now a eyes back, we're seeing all kinds of applications getting infused into virtually every part of our lives. People trying to advertise to us, etcetera. Eso So talk about the intersection of AI and HPC. What are you seeing there? >>Yeah, definitely. Like you said, I has a long history. I mean, you know, it came out of MIT Media Lab and the AI Lab that they had back then and it was really, as you mentioned, all focused on expert systems. It was about logical processing. It was a lot of if then else. And then it morphed into search. How do I search for the right answer, you know, needle in the haystack. But then, at some point, it became computational. Neural nets are not a new idea. I remember you know, we had we had a We had a researcher in our lab who was doing neural networks, you know, years ago. And he was just saying how he was running out of computational power and we couldn't. We were wondering, you know what? What's taking all this difficult, You know, time. And it turns out that it is computational. So when deep neural nets showed up about a decade ago, arm or it finally started working and it was a confluence of a few things. Thalib rhythms were there, the data sets were there, and the technology was there in the form of GPS and accelerators that finally made distractible. So you really could say, as in I do say that a I was kind of languishing for decades before HPC Technologies reignited it. And when you look at deep learning, which is really the only part of a I that has been prominent and has made all this stuff work, it's all HPC. It's all matrix algebra. It's all signal processing algorithms. are computational. The infrastructure is similar to H B. C. The skill set that you need is the skill set of HPC. I see a lot of interest in HBC talent right now in part motivated by a I >>mhm awesome. Thank you on. Then I wanna talk about Blockchain and I can't talk about Blockchain without talking about crypto you've written. You've written about that? I think, you know, obviously supercomputers play a role. I think you had written that 50 of the top crypto supercomputers actually reside in in China A lot of times the vendor community doesn't like to talk about crypto because you know that you know the fraud and everything else. But it's one of the more interesting use cases is actually the primary use case for Blockchain even though Blockchain has so much other potential. But what do you see in Blockchain? The potential of that technology And maybe we can work in a little crypto talk as well. >>Yeah, I think 11 simple way to think of Blockchain is in terms off so called permission and permission less the permission block chains or when everybody kind of knows everybody and you don't really get to participate without people knowing who you are and as a result, have some basis to trust your behavior and your transactions. So things are a lot calmer. It's a lot easier. You don't really need all the supercomputing activity. Whereas for AI the assertion was that intelligence is computer herbal. And with some of these exa scale technologies, we're trying to, you know, we're getting to that point for permission. Less Blockchain. The assertion is that trust is computer ble and, it turns out for trust to be computer ble. It's really computational intensive because you want to provide an incentive based such that good actors are rewarded and back actors. Bad actors are punished, and it is worth their while to actually put all their effort towards good behavior. And that's really what you see, embodied in like a Bitcoin system where the chain has been safe over the many years. It's been no attacks, no breeches. Now people have lost money because they forgot the password or some other. You know, custody of the accounts have not been trustable, but the chain itself has managed to produce that, So that's an example of computational intensity yielding trust. So that suddenly becomes really interesting intelligence trust. What else is computer ble that we could do if we if we had enough power? >>Well, that's really interesting the way you described it, essentially the the confluence of crypto graphics software engineering and, uh, game theory, Really? Where the bad actors air Incentive Thio mined Bitcoin versus rip people off because it's because because there are lives better eso eso so that so So Okay, so make it make the connection. I mean, you sort of did. But But I want to better understand the connection between, you know, supercomputing and HPC and Blockchain. We know we get a crypto for sure, like in mind a Bitcoin which gets harder and harder and harder. Um and you mentioned there's other things that we can potentially compute on trust. Like what? What else? What do you thinking there? >>Well, I think that, you know, the next big thing that we are really seeing is in communication. And it turns out, as I was saying earlier, that these highly computational intensive algorithms and models show up in all sorts of places like, you know, in five g communication, there's something called the memo multi and multi out and to optimally manage that traffic such that you know exactly what beam it's going to and worth Antenna is coming from that turns out to be a non trivial, you know, partial differential equation. So next thing you know, you've got HPC in there as and he didn't expect it because there's so much data to be sent, you really have to do some data reduction and data processing almost at the point of inception, if not at the point of aggregation. So that has led to edge computing and edge data centers. And that, too, is now. People want some level of computational capability at that place like you're building a microcontroller, which traditionally would just be a, you know, small, low power, low cost thing. And people want victor instructions. There. People want matrix algebra there because it makes sense to process the data before you have to ship it. So HPCs cropping up really everywhere. And then finally, when you're trying to accelerate things that obviously GP use have been a great example of that mixed signal technologies air coming to do analog and digital at the same time, quantum technologies coming so you could do the you know, the usual analysts to buy to where you have analog, digital, classical quantum and then see which, you know, with what lies where all of that is coming. And all of that is essentially resting on HBC. >>That's interesting. I didn't realize that HBC had that position in five G with multi and multi out. That's great example and then I o t. I want to ask you about that because there's a lot of discussion about real time influencing AI influencing at the edge on you're seeing sort of new computing architectures, potentially emerging, uh, video. The acquisition of arm Perhaps, you know, amore efficient way, maybe a lower cost way of doing specialized computing at the edge it, But it sounds like you're envisioning, actually, supercomputing at the edge. Of course, we've talked to Dr Mark Fernandez about space born computers. That's like the ultimate edge you got. You have supercomputers hanging on the ceiling of the International space station, but But how far away are we from this sort of edge? Maybe not. Space is an extreme example, but you think factories and windmills and all kinds of edge examples where supercomputing is is playing a local role. >>Well, I think initially you're going to see it on base stations, Antenna towers, where you're aggregating data from a large number of endpoints and sensors that are gathering the data, maybe do some level of local processing and then ship it to the local antenna because it's no more than 100 m away sort of a thing. But there is enough there that that thing can now do the processing and do some level of learning and decide what data to ship back to the cloud and what data to get rid of and what data to just hold. Or now those edge data centers sitting on top of an antenna. They could have a half a dozen GPS in them. They're pretty powerful things. They could have, you know, one they could have to, but but it could be depending on what you do. A good a good case study. There is like surveillance cameras. You don't really need to ship every image back to the cloud. And if you ever need it, the guy who needs it is gonna be on the scene, not back at the cloud. So there is really no sense in sending it, Not certainly not every frame. So maybe you can do some processing and send an image every five seconds or every 10 seconds, and that way you can have a record of it. But you've reduced your bandwidth by orders of magnitude. So things like that are happening. And toe make sense of all of that is to recognize when things changed. Did somebody come into the scene or is it just you know that you know, they became night, So that's sort of a decision. Cannot be automated and fundamentally what is making it happen? It may not be supercomputing exa scale class, but it's definitely HPCs, definitely numerically oriented technologies. >>Shane, what do you see happening in chip architectures? Because, you see, you know the classical intel they're trying to put as much function on the real estate as possible. We've seen the emergence of alternative processors, particularly, uh, GP use. But even if f b g A s, I mentioned the arm acquisition, so you're seeing these alternative processors really gain momentum and you're seeing data processing units emerge and kind of interesting trends going on there. What do you see? And what's the relationship to HPC? >>Well, I think a few things are going on there. Of course, one is, uh, essentially the end of Moore's law, where you cannot make the cycle time be any faster, so you have to do architectural adjustments. And then if you have a killer app that lends itself to large volume, you can build silicon. That is especially good for that now. Graphics and gaming was an example of that, and people said, Oh my God, I've got all these cores in there. Why can't I use it for computation? So everybody got busy making it 64 bit capable and some grass capability, And then people say, Oh, I know I can use that for a I And you know, now you move it to a I say, Well, I don't really need 64 but maybe I can do it in 32 or 16. So now you do it for that, and then tens, of course, come about. And so there's that sort of a progression of architecture, er trumping, basically cycle time. That's one thing. The second thing is scale out and decentralization and distributed computing. And that means that the inter communication and intra communication among all these notes now becomes an issue big enough issue that maybe it makes sense to go to a DPU. Maybe it makes sense to go do some level of, you know, edge data centers like we were talking about on then. The third thing, really is that in many of these cases you have data streaming. What is really coming from I o t, especially an edge, is that data is streaming and when data streaming suddenly new architectures like F B G. A s become really interesting and and and hold promise. So I do see, I do see FPG's becoming more prominent just for that reason, but then finally got a program all of these things on. That's really a difficulty, because what happens now is that you need to get three different ecosystems together mobile programming, embedded programming and cloud programming. And those are really three different developer types. You can't hire somebody who's good at all three. I mean, maybe you can, but not many. So all of that is challenges that are driving this this this this industry, >>you kind of referred to this distributed network and a lot of people you know, they refer to this. The next generation cloud is this hyper distributed system. When you include the edge and multiple clouds that etcetera space, maybe that's too extreme. But to your point, at least I inferred there's a There's an issue of Leighton. See, there's the speed of light s So what? What? What is the implication then for HBC? Does that mean I have tow Have all the data in one place? Can I move the compute to the data architecturally, What are you seeing there? >>Well, you fundamentally want to optimize when to move data and when to move, Compute. Right. So is it better to move data to compute? Or is it better to bring compute to data and under what conditions? And the dancer is gonna be different for different use cases. It's like, really, is it worth my while to make the trip, get my processing done and then come back? Or should I just developed processing capability right here? Moving data is really expensive and relatively speaking. It has become even more expensive, while the price of everything has dropped down its price has dropped less than than than like processing. So it is now starting to make sense to do a lot of local processing because processing is cheap and moving data is expensive Deep Use an example of that, Uh, you know, we call this in C two processing like, you know, let's not move data. If you don't have to accept that we live in the age of big data, so data is huge and wants to be moved. And that optimization, I think, is part of what you're what you're referring to. >>Yeah, So a couple examples might be autonomous vehicles. You gotta have to make decisions in real time. You can't send data back to the cloud flip side of that is we talk about space borne computers. You're collecting all this data You can at some point. You know, maybe it's a year or two after the lived out its purpose. You ship that data back and a bunch of disk drives or flash drives, and then load it up into some kind of HPC system and then have at it and then you doom or modeling and learn from that data corpus, right? I mean those air, >>right? Exactly. Exactly. Yeah. I mean, you know, driverless vehicles is a great example, because it is obviously coming fast and furious, no pun intended. And also, it dovetails nicely with the smart city, which dovetails nicely with I o. T. Because it is in an urban area. Mostly, you can afford to have a lot of antenna, so you can give it the five g density that you want. And it requires the Layton sees. There's a notion of how about if my fleet could communicate with each other. What if the car in front of me could let me know what it sees, That sort of a thing. So, you know, vehicle fleets is going to be in a non opportunity. All of that can bring all of what we talked about. 21 place. >>Well, that's interesting. Okay, so yeah, the fleets talking to each other. So kind of a Byzantine fault. Tolerance. That problem that you talk about that z kind of cool. I wanna I wanna sort of clothes on quantum. It's hard to get your head around. Sometimes You see the demonstrations of quantum. It's not a one or zero. It could be both. And you go, What? How did come that being so? And And of course, there it's not stable. Uh, looks like it's quite a ways off, but the potential is enormous. It's of course, it's scary because we think all of our, you know, passwords are already, you know, not secure. And every password we know it's gonna get broken. But give us the give us the quantum 101 And let's talk about what the implications. >>All right, very well. So first off, we don't need to worry about our passwords quite yet. That that that's that's still ways off. It is true that analgesic DM came up that showed how quantum computers can fact arise numbers relatively fast and prime factory ization is at the core of a lot of cryptology algorithms. So if you can fact arise, you know, if you get you know, number 21 you say, Well, that's three times seven, and those three, you know, three and seven or prime numbers. Uh, that's an example of a problem that has been solved with quantum computing, but if you have an actual number, would like, you know, 2000 digits in it. That's really harder to do. It's impossible to do for existing computers and even for quantum computers. Ways off, however. So as you mentioned, cubits can be somewhere between zero and one, and you're trying to create cubits Now there are many different ways of building cubits. You can do trapped ions, trapped ion trapped atoms, photons, uh, sometimes with super cool, sometimes not super cool. But fundamentally, you're trying to get these quantum level elements or particles into a superimposed entanglement state. And there are different ways of doing that, which is why quantum computers out there are pursuing a lot of different ways. The whole somebody said it's really nice that quantum computing is simultaneously overhyped and underestimated on. And that is that is true because there's a lot of effort that is like ways off. On the other hand, it is so exciting that you don't want to miss out if it's going to get somewhere. So it is rapidly progressing, and it has now morphed into three different segments. Quantum computing, quantum communication and quantum sensing. Quantum sensing is when you can measure really precise my new things because when you perturb them the quantum effects can allow you to measure them. Quantum communication is working its way, especially in financial services, initially with quantum key distribution, where the key to your cryptography is sent in a quantum way. And the data sent a traditional way that our efforts to do quantum Internet, where you actually have a quantum photon going down the fiber optic lines and Brookhaven National Labs just now demonstrated a couple of weeks ago going pretty much across the, you know, Long Island and, like 87 miles or something. So it's really coming, and and fundamentally, it's going to be brand new algorithms. >>So these examples that you're giving these air all in the lab right there lab projects are actually >>some of them are in the lab projects. Some of them are out there. Of course, even traditional WiFi has benefited from quantum computing or quantum analysis and, you know, algorithms. But some of them are really like quantum key distribution. If you're a bank in New York City, you very well could go to a company and by quantum key distribution services and ship it across the you know, the waters to New Jersey on that is happening right now. Some researchers in China and Austria showed a quantum connection from, like somewhere in China, to Vienna, even as far away as that. When you then put the satellite and the nano satellites and you know, the bent pipe networks that are being talked about out there, that brings another flavor to it. So, yes, some of it is like real. Some of it is still kind of in the last. >>How about I said I would end the quantum? I just e wanna ask you mentioned earlier that sort of the geopolitical battles that are going on, who's who are the ones to watch in the Who? The horses on the track, obviously United States, China, Japan. Still pretty prominent. How is that shaping up in your >>view? Well, without a doubt, it's the US is to lose because it's got the density and the breadth and depth of all the technologies across the board. On the other hand, information age is a new eyes. Their revolution information revolution is is not trivial. And when revolutions happen, unpredictable things happen, so you gotta get it right and and one of the things that these technologies enforce one of these. These revolutions enforce is not just kind of technological and social and governance, but also culture, right? The example I give is that if you're a farmer, it takes you maybe a couple of seasons before you realize that you better get up at the crack of dawn and you better do it in this particular season. You're gonna starve six months later. So you do that to three years in a row. A culture has now been enforced on you because that's how it needs. And then when you go to industrialization, you realize that Gosh, I need these factories. And then, you know I need workers. And then next thing you know, you got 9 to 5 jobs and you didn't have that before. You don't have a command and control system. You had it in military, but not in business. And and some of those cultural shifts take place on and change. So I think the winner is going to be whoever shows the most agility in terms off cultural norms and governance and and and pursuit of actual knowledge and not being distracted by what you think. But what actually happens and Gosh, I think these exa scale technologies can make the difference. >>Shaheen Khan. Great cast. Thank you so much for joining us to celebrate the extra scale day, which is, uh, on 10. 18 on dso. Really? Appreciate your insights. >>Likewise. Thank you so much. >>All right. Thank you for watching. Keep it right there. We'll be back with our next guest right here in the Cube. We're celebrating Exa scale day right back.

from the cube studios in Palo Alto in Boston connecting with thought leaders all around the world this is a cube conversation CIOs and CISOs of industries that have been hard hit see significant near term and many permanent shifts to their IT and security strategies this was the consensus of four technology executives at leading companies that are feeling the brunt of the corona virus pandemic welcome to this week's cube insights powered by ETR my name is Dave Volante and in this breaking analysis we want to accomplish three things first we want to tap into a new piece of research from ETR it involves an intimate focus group like set up via an open discussion with leading technology executives we interviewed Eric Bradley the managing director of et ours then program and we'll bring him into this discussion the next thing we want to do is we want to drill in to the various sector commentaries from the four leaders third we're gonna comment an hour take try to add some color and then share with you some of the specific vendor commentary that was called out by the executives let's start by looking at what et our event is et our van is a roundtable discussion it applies a tried-and-true methodology similar to a focus group or in-depth interviews what we sometimes in the research business call ID is ETR invites execs in from its community to participate in a private but open conversation et our clients get to listen in the names of the execs and their companies are transparent but the cube is only allowed to refer to them generically as shown on this slide now we can validate these participants they are legit CIOs and CISOs some and very well-known firms now what I want to do is summarize the CIO and seaso sentiment from this then discussion the overall budget impact for these four organizations is very very severe essentially large project projects are being put on hold although digital transformation initiatives remain a priority there were really four significant areas of emphasis that were cited by these execs cloud-first on-prem is losing out to cloud SAS and of course remote access solutions in fact the best comment on the panel was as a service is saving our SAS traditional networking is shifting to SD win especially rigid MPLS networks securing endpoints and zero trust solutions are the winners and there are a number of vendors rising to the occasion that will talk about it let's see how Eric Bradley of ETR summarizes the venn to summarize what we're seeing here was the real winners and losers are clear not everyone was prepared to have it work from home strategy not everyone was prepared to send their workers out there VPN wasn't didn't have enough bandwidth so there was a real quick uptick in spending but longer-term we're starting to see that these changes will be become more permanent so the real winners and losers right now we're going to see on the losers side traditional networking the MPLS networking isn't a lot of trouble according to all the data and the commentary that we see it's expensive it's difficult to ramp up bandwidth as quickly as you need and it doesn't support remote ok what I want to do now is I want to take a look at some of the verbatim comments and I'll just I'll read them from this slide all spending is shut down 70% of big projects are cut all next-gen projects have been shelled the relationship with our SAS vendor has been a miracle we're accelerating from MPLS to sd when on top of secure gateway technologies these will win this was interesting our business continuity plans were way too DR focused essentially we weren't prepared now let's unpack the cloud first commentary and give you some additional color I feel like all we do around here sometimes is talk about the cloud but it's clear from the data in the ETR data set surveys and the venn that in other data from the cube that that the cloud is only going to be accelerated we said this in 2008 in the 2009 downturns have been good to cloud one of the execs literally said I would like to see my data centers completely deleted Wow let's listen to Erik Bradley's take on this comment I was also shocked about that comment that gentleman also stated that his executives outside of the eyeteeth area the CEO the CFO had never ever ever wanted to discuss cloud they did not want to discuss work from home they did not want to discuss remote access he said that conversation has changed immediately so we've been talking a lot about those aspects of people and process and technology that might be permanent post kovat and clearly you see c-level execs as having a bit of an awakening for things like cloud and work from home not that they didn't see them before but these things are gonna accelerate in our view I want to spend a minute talking about networks SAS and bring cloud again into the discussion I gotta say the panel members really trashed MPLS networks in a big way let me explain MPLS stands for multi-protocol label switching you find this type of infrastructure in big telecom networks and it's there to route traffic and pls is used to create dedicated and and essentially reliable connections it enables things like VPNs quality a service management traffic engineering or shaping but well MPLS is definitely cheaper than t1 it's more expensive than Ethernet now I came into prominence well before the cloud and these execs see it is as outdated and inflexible and this is where SD wind comes into play software-defined wide area networks they're gaining popularity especially with the Sassa fication of applications and of course the general trend toward cloud here's Eric Bradley again explaining what the panel members said from his perspectives winners there or in the SD web space it's gonna be impossible to ignore that going forward and some of our CIO and even CISO panelists said that change will be also we're seeing at the same time what they were calling a on on SAS and cloud now we know these trends obviously were already happening but there be they're being exacerbated they're happening even more quickly and more strong and I don't see that changing anytime soon that of course is at the expense of network sorry data centers whether it be your own or hosted which has huge ramifications on from on from Hardware even the firewall providers so and it really seems as if as networking refresh starts to come up and it's coming up with a lot of large in writes when your network refresh comes up people are going to do an RFP for SD web they are sick and tired of paying MPLS network vendors and they really want to look at something else that was even prior to this situation now what we're hearing is this is a permanent change I particularly had one person say I wanted to find this quote real quickly by then but basically they were basically saying that from a permanency perspective the freedom from MPLS will reduce our network spend by over half while more than doubling or tripling or bandwidth now the challenge of course is customers have multiple MPLS contracts with several different vendors and often they just rubber-stamp the renewal but what customers are gonna start doing is layering in SD win and letting those agreements expire ok I want to talk about secure endpoints in this notion of zero trust solutions as I've said in the cube many many times the idea of digging a moat around the castle doesn't protect your queen anymore because the Queen ie the data has left the castle so companies that can secure gateways and secure endpoints they are going to have more momentum during and post kovat now in the panel Z scalar came up a lot in this context as well as fortunate who as I've reported has done a good job in getting its cloud products to market and of course the et our data shows that fortunate and Z scalar both have strong net scores or spending momentum and fort net especially has really strong pervasiveness in the et our dataset as I've reported previously I've also analyzed that there's been evaluation divergence between Palo Alto Networks and fortunate and house II scalar as well is a disruptor in this space I want you to listen to what Eric Bradley said specifically about Z scalar in Palo Alto Networks roll the clip yes it is and I'm glad you brought up Z scalar to very recently by client request we did a very in-depth research on Z scale and versus Palo Alto charisma access and they were very interested this is before all this happened you know does Palo Alto have a chance of catching up taking share from Z scalar and I've had the pleasure myself personally hosting J the CEO of Z scalar at an event here at City and I have nothing but incredible respect for the company but what we found out through this research is Z scalar at the moment their technology is still ahead according to their and there is no doubt however there doesn't seem to be any real secret sauce that will stop palo alto from inching up so if I had to choose that in a year from now Palo Alto might have had a better chance so in this panel as you brought up Z scalar was mentioned numerous times as just the wave of the future along with Cosby brokers right whether you're talking about a net scope or a force point they're all those people that also play in The Cosby space to secure your access zero Trust is no longer a marketing hype term it is real and it is becoming more real by the week now I personally agree with Eric that palo alto is is definitely going to be in the mix customers that we've talked to they want to work with palo alto networks but there's a sea change going on and it's being driven by sass and cloud and now accelerating because a co vid of course that the trend of remote workers is we think here to stay now i want to end by talking about some specific vendor mentions in addition to the ones we've talked about already and this chart shows some of the vendors and their logos that were called out as either being really really helpful during the this pandemic or super important to the CIOs and CISOs these executives really stressed how thankful they are to these companies and that the fact that these companies have worked very closely with them they've been flexible on pricing and payments and they also specifically mentioned how off-put they were by you know this notion of ambulance-chasing for example trials that required them to make some kind of commitment or swipe a credit card they just don't have time for that right now and then of the patience for it now let me call out a few of the companies that were cited in a positive light look at microsoft is all for the ETR data set in so many sectors Microsoft teams security solutions cloud really came up a lot on on this ven IBM was mentioned as being a great partner as what's oracle many many times we talked about fortunate and Z scalar already Cisco was called out as a strategic vendor was very helpful both the networking and with Cisco teams for collaboration CrowdStrike came up a number of times from CISOs as did Trend Micro and carbon black got a mention that's the VMware acquisition insecurity of course MobileIron that makes sense as well because they're securing and managing remote worker devices now finally interesting Lee Salesforce was brought up many times as a critical vendor one exec said that before coronavirus multiple workers could share a Salesforce license by you know sharing passwords but with the spike and work from home they had to purchase more licenses now one last thing that I want to bring up is start ups I got this question the other day from a client who said how a start-ups fair you might think that in this climate especially among for hard-hit customers that there might be risk-averse as it pertains to using startups once cio however said the following paraphrasing you always hear about the guy that says we'll pick three companies in the upper right hand corner the Gartner Magic Quadrant will test them out and this C so said that one of the things that he's always done is picked two from the upper right and one from the lower left one of the emerging techs and he gives them a shot let's listen to how Eric Bradley describes this dynamic roll the clip it's a great comment and honestly if you're in charge of procurement you'd be stupid not to do that not only just to see what the technology is but now I can play you off the big guys because I have negotiating leverage and I could say oh well I could always just take their contract so it's silly not to do it from a business perspective so it's really interesting and somewhat non-intuitive these comments on startups which of course means despite all the consolidation and acquisitions that you see in the industry you know there's still gonna be a lot of fragmentations a fragmentation especially as I've said many many times in the security space people still want best to breed and innovation and if it can drive business value they're gonna they're gonna go for it ok so look I realize that these are narrow comments from for CIOs and CISOs but they give us some added texture and flavor and color to the core ETR data set and we're going to continue to report on these trends and share more details as they become available both from the ETR data set and from other vents and remember we're gonna be digging into the latest ETR survey over the over the coming weeks as ETR exits its self-imposed quiet period so you can always check out ETR dot plus I publish weekly on wiki bang calm and on Silicon angle calm and of course our YouTube library has all these videos that's youtube.com slash silicon angle by the way these segments are also available as podcasts you can DM me or tweet me at devil ante and please by all means comment on my LinkedIn posts or email me at David Galante at Silicon angle com always appreciate the feedback thanks for watching everybody this is breaking analysis brought to you by the cube powered by ETR this is Dave Volante and we'll see you next time thanks for watching [Music]

>> From theCUBE studios in Palo Alto and Boston, connecting with thought leaders all around the world, this is a CUBE Conversation. >> Hello, everybody, this is Dave Vellante, and welcome to this breaking analysis. I'm here with Erik Bradley, who's the managing director of ETR and runs their VENN program. Erik, good to see you. >> Very nice to see you too, Dave. Hope you're doing well. >> Yeah, I'm doing okay, hanging in there. You know, you guys in New York are fighting the battle, looks like we're making some progress here, so all the best to you and your family and the wider community. I'm really excited to have you on today because I had the pleasure of sitting in on a CIO/CISO panel last week and we're going to explain sort of what that's all about but one of the things that ETR does that I really like is they go deeper with anecdotal information, and it's almost like in depth interviews in these round tables. So they compliment their quarterly surveys and their other drilldown surveys with other anecdotal information from people in their communities, so it's a tried and true survey practice that adds some color to the data set. So guys, if you'd bring up the agenda, I want to share with the audience what we're going to talk about today. So, we'll talk a little bit about, you know, we just did intros. I wanted to ask Erik what ETR VENN is and then we will go through some of the guests, but if we go back to Erik, explain a little bit about VENN and the whole process, and how you guys do that? >> Yes, sure we should hire you for marketing, you just did a great job actually describing that, but about three years ago, what we decided was, ETR does an amazing job collecting the data. It can tell you what's happening, who it's happening to, and when it's happening, but it can't always tell you why it's happening. So leveraging a lot of my background in 20 plus years in journalism and the institution of Wall Street research, we decided to take the ETR community, the people that actually take the surveys and start doing interviews with them, and start doing events with them. And in enable to doing that, we're basically just trying to complement the survey findings and the data. So what we always say is that ETR will give you the quantitative answer and VENN will give you the qualitative answer. >> Now guys, let's bring up the agenda slide again, let's take a look at the folks that participated in the round table, now, for ETR's clients, they actually know the names and the titles and well the company that these guys work for. We've anonymized it for the public, but you had a CIO of a global auto supplier, a CISO of a diversified holdings firm who actually had some hospitality exposure, but also some government contract manufacturing exposure, a chief architect of a software ISV, and a VP and CISO of a global hospitality resort chain. So you had three out of the four, Erik were really in industries that are getting hit hard, obviously you know the software company, may be a little bit better but, maybe you could add some color to that? >> Well actually the software company unfortunately was getting hit hard as well because they're a software ISV that actually plays into the manufacturing space as well so this particular panel of CIOs and CISOs were actually in a very hard hit industries and are going to make sure we do two more follow ups with different industry verticals to make sure we're getting a little bit of a wider berth and collect all of that information in a better way. But coming back to this particular call the whole reason we did this and as you know you spoke to my colleague and friend Sagar Kadakia who is the director of research for ETR. And we were nimble enough to actually change our survey while it was in the field to start collecting data on what the real time impact was on the COVID-19 pandemic. We were able to take that information, extrapolate it and then say, okay, let's start reaching out to these people and dig deeper, find out why it's happening and even more so is it permanent? And which vendors are going to win and which vendors might lose from it? So that was the whole reason we set up a series of calls, we've only conducted one so far, we have another one this coming Tuesday as well with four entirely new panelists that are going to be from different industry verticals 'cause as you astutely pointed out, these verticals were very hard hit and not all of them are as hard as others, so it's important to get a wider cross-section. >> So guys, let's take a look at some of the budget impacts, the anecdotal sort of evidence that we gathered here, so let me just scan through it and then Erik, I'll ask you to comment. So, I mean like Erik said, some hard hit industries. All major projects, anything sort of next-gen have been essentially shelved, that was the ISV and then another one we cut at least 70% of the big projects moving forward, he mentioned ServiceNow actually called him out, but ServiceNow is a SaaS company, probably you know weather the storm here, but he did say, we've put that on hold. The best comment you know As-a-Service has Saved our Saas, (laughs) that one's great. And then we're going to get into some of the networking commentary, some really interesting things about how to support the work from home, you know we're kind of shifting from a hardened top into users, remote workers and then a lot of commentary on security, so you know that's sort of a high level scan and there's just so much information here, Erik but maybe you could sort of summarize on some of those, that commentary? >> Yeah, we should definitely dig in to each of those sectors a little more, but to summarize what we're seeing here was the real winners and losers are clear. Not everyone was prepared to have a work from home strategy. Not everyone was prepared to send their workers out, their VPN didn't have enough bandwidth so there was a real quick uptake in spending, but longer term we're starting to see that these changes will become more permeant. So the real winners and losers right now, we're going to see on the losers side traditional networking, the MPLS networking is in a lot of trouble according to all the data and the commentary that we're seeing, it's expensive, it's difficult to ramp up bandwidth as quickly as you need and it doesn't support remote. So we're seeing that lose out and the winners there are in the SD-WAN space, it's going to be impossible to ignore that going forward and some of our CIO and even CISO panelists said that change will be permanent. Also we're seeing at the same time, what they were calling a run SaaS and cloud, now we know these trends obviously were already happening but they're being exacerbated, they're happening even more quickly and more strong and I don't see that changing any time soon. That of course is at the expense of data centers, whether it be your own or hosted. Which has huge ramifications on on-prem hardware, even the firewall providers. So what we're seeing here is obviously we know things are going to be impacted by this situation, we didn't necessarily expect all of our community members and IT decision makers to talk about them being possibly permanent, so that on a high level was something that was extremely interesting. And the last one that I would bring up is that as we make this shift towards working from home, towards remote access, you also have to align yourself with the security that can support that. And one of the things that we're seeing in our data side on ETR, is a widening bifurcation between the next-gen security vendors and the more traditional security or the legacy security players, that bifurcation just keeps getting wider and wider and this situation could be the last straw. >> So I want to follow up on a couple of those things, you talked about sort of the network shift and toward SD-WAN, what people have described to me is that they've got a hardened top, it's a hierarchal network, it's very well understood, and it's safe right, and now all of a sudden you got all these remote workers and so you've got to completely sort of rethink your whole network architecture, the other thing I want to grill into is your cloud commentary. There's a comment that I saw Erik, that really stood out, one of the folks said, I would like to see the data centers be completely deleted, if you will or closed down, I mean I think we're going to see you know, a lot more of this, obviously. Not only from the standpoint of, and you heard this a lot the kind of pay by the drink, but just generally getting rid of all that sort of so called non-differentiated heavy lifting as we often hear about. >> That is a extreme comment, I don't think everyone feels that way, but yes, the comment was made and we've heard that comment from other people as you and I both know the larger the enterprise the harder that is to go completely SaaS, but yeah, when a situation like this happens and seeing the inflexibility of their on-prem infrastructure, yes it becomes something that really has to be addressed and it can become a permanent change, I was also shocked about that comment. That gentleman also stated that his executives outside of the IT area, the CEO, the CFO had never ever, ever wanted to discuss cloud, they did not want to discuss work from home, they did not want to discuss remote access. He said that conversation has changed immediately and to the credit of the actual IT companies out there, the technology companies, they're doing everything they can with this opportunity to make that happen. >> Yeah and so, right, I mean the whole work from home conversation that's to your point earlier, Erik, big chunks of COVID, you know the post COVID world are going to remain permanent, guys bring up the SaaS slide if you will, the SaaS commentary "As-a-Service-Saved our SaaS" as the wittiest quip award according to ETR, you know but you had, it was very interesting to hear folks, in fact I think somebody even called out, hey you know we expected Oracle to be auditing us but they're actually being very supportive as is IBM, SalesForce was an interesting comment Erik, one of the folks said they would share accounts you know on-prem but when they all do the work from home they had to actually buy some more. You also got Cisco with big props, Microsoft was called out, a lot of organizations actually allowing them to defer payments, so the SaaS vendors actually got very high marks, didn't they? >> They really did and even I wrote that summary and it was difficult to write that about Oracle because we all know that they're infamous for auditing their own customers in 2009, right after we we came out of the financial crisis. They have notoriously been a bad act, I don't know if they found religion and they decided to be nice to their customers, but every single person mentioned them as one of the vendors that was actually helping. That was very shocking. And then we all know that when bad situations happen people become opportunistic and right now it's really seeming that the SaaS vendors understand that they need a longterm relationship with these customers and they're being altruistic instead which is really nice to see. >> Yeah, I think the, I think anybody with a cloud realizes that hey, we have an opportunity here, the lifetime value of that customer whereas maybe in 2009 when Oracle didn't have a cloud they had to get people in a headlock to try to preserve their you know income statement. If we, let's go to the networking drilldown guys, that next slide, because Fortinet, some of the things that we've been reporting on is the sort of divergence in valuations between Fortinet and Palo Alto before this whole thing hit. Fortinet has done a really good job with it's cloud offerings, Palo Alto struggled a little bit with trying to figure out the sales compensation, is maybe a little bit behind, although both companies got strong props and I've talked to a number of customers and Palo Alto's going to be in the mix, but Fortinet from a cloud standpoint seems to be doing quite well, obviously networking, you know Cisco is the big gorilla there, but so and we also got call outs from guys like Trend Micro, which was interesting from some of the folks so your thoughts on this Erik? >> Yeah, I'll start in the networking side because this is something that I really, I've dug into quite amount in not only this panel but a lot of interviews and it really seems as if as networking refresh starts to come up and it's coming up with a lot of large importers, when your network refresh comes up, people are going to do an RFP for SD-WAN. They are sick and tired of paying MPLS network vendors and they really want to look at something else. That was even prior to this situation. Now what we're hearing is this is a permanent change, I particularly had one person say, I wanted to find this quote real quickly if I can, but basically they were basically saying that from a permanency perspective, the freedom from MPLS will reduce our network spend by over half, while more than doubling or tripling our bandwidth. You can't ignore that, you're going to save me money and triple my bandwidth. And hey, by the way, my refresh is due, it's something that's coming and it's going to happen. And yes you mentioned a few, right, there's Viptela, there's VeloCloud, there's some big players like Cisco. But Palo Alto just acquired CloudGenix in the midst of all of this. They just went and got an SD-WAN player themselves and they just keep acquiring a portfolio to shift from their on-prem to next-gen. It's going to take some time, 'cause 70% plus of their revenue is still on-prem hardware, but I do believe that their portfolio that they're creating is the way the world is moving and that's just one comment on the traditional networking versus the next-gen SD-WAN. >> And the customers have indicated you know it's not easy just to get off of their MPLS networks. I mean it takes time, it's like slowly pulling off the bandaid, but like many things COVID-19 is sort of accelerating that, we haven't talked about digital transformation, that came up. As a maybe more strategic initiative, but one that you know very clearly has legs. >> You know David, it's very simple, you just said it, people, when things are going well and they're comfortable they don't change and that's the same for an enterprise or a company, hey everything's great, our revenue's fine, why would we do this? We'll worry about that next year. Then something like this happens and you realize wow, we've been dragging our feet. That digital transformation that we've been talking about and we've been a little bit slow to accept, we need to accept it, we need to move now. And yes, it was another one of the major themes and it sounds silly for researchers like you and I, because we know this is a theme, we know cloud adoption is there, we know digital transformation is there, but there are still a lot of people that haven't moved as quickly as they should and this is going to be that final catalyst to get them there without a doubt. Quickly on your point of Fortinet, I was actually very impressed with the commentary that came from that because Fortinet is sometimes one of those names that you think of that maybe plays in a smaller pool or isn't as big as some of the 800 pound gorillas out there, but in other interviews besides this I heard the phrase point of 40 everything, so through our R&D and through acquisitions, Fortinet has really expanded their portfolio. And right now is their time to shine because when you have smaller satellite you know offices and branches that you need to connect, they're really, really good at it. And you don't always want to call a Palo Alto and pay that price, when you have smaller branch offices and I actually I was glad you brought up Fortinet because it's not a name that we get to herald that often and it was deserving from this panel. >> Yeah and you know companies that can secure gateways, secure endpoints are obviously going to have momentum, Zscaler came up, you know I think that's and I tell you looking at I've done a couple of breaking analysis on security, and Fortinet has been strong in two dimensions, you know ETR as our audience is I think getting to know, we really look at two key metrics, one is a net score which is a measure of spending momentum and the other is market share, which is a measure of pervasiveness, and companies like Fortinet in security, you know show up on both of those dimensions so it's notable. >> Yes, it certainly is, it is and I'm glad you brought up Zscaler too, very recently by strong request we did a very in depth research on Zscaler versus Palo Alto Prisma access. And they were very interested and this was before all this happened. You know does Palo Alto have a chance of catching up, taking share from Zscaler? And I've had the pleasure myself personally hosting Jay, the CEO of Zscaler at an event in New York City. And I have nothing but incredible respect for the company. But what we found out through this research is Zscaler at the moment their technology is still ahead according to their answers there is no doubt, however there doesn't seem to be any real secret sauce that will stop Palo Alto from catching up. So we do believe that parody of a feature set will shrink over time and then it'll come down to Palo Alto who obviously has a wider end-user interface. Now, what's happening today might change that because if I had to make a decision right now for my company on secure web gateway, I'm still probably going to got to Zscaler, it's the name. If I had to choose that in a year from now, Palo Alto might have had a better chance, so in this panel as you brought up, Zscaler was mentioned numerous times as just the wave of the future along with CASB Brokers, right, whether you're talking about a Netskope or Forcepoint, all those people that also play in the CASB space, to secure your access, zero trust is no longer a marketing hype term, it is real and it is becoming more real by the week. >> And so I want to kind of end on one of the other comments that really struck me because we're constantly talking about okay, do you go with a portfolio of a suite of services or do you go with best of breed, what about startups? Are startups more risky in a crisis like this? And one of your panelists, I just loved his comment, he said, one of the things that I've always done, he said, you always hear about the guy, oh we're going to to the garden, we're going to check out the magic water, we'll pick out three guys in the upper right hand corner and test them out, he says, one of the things that I've always liked to do, is I'll pick two from the upper right, and I'll take one from the lower left, one of the emerging techs and I'll give them a shot, they won't win every time but then he called out FireEye as one of the organizations that he found early that gave them competitive advantage. >> Right. >> Love that comment. >> It's a great comment and honestly if you're in charge of procurement, you'd be stupid not to do that. Not only just to see what the technology is, but now I can play you off the big guys because I have negotiation leverage and I can say, oh well I can always just take their contract. So it's silly not to do it from a business perspective, but from a technology perspective what we kept hearing from these people with the smaller vendors and my partner Peter Steube, my colleague and I we did the host together, we asked this question, really believing that the financial insecurity of the moment in the times would make smaller vendors not viable. We heard the exact opposite, what our panelists said was no, I'd be happy to work with a smaller vendor right now because they're going to give me pricing flexibility, they're going to work with me right now, I don't need to pay them upfront because we're seeing a permanent shift from CAPEX to OPEX and the smaller vendors are willing to work with me and I can pay them later. So we were actually surprised to hear that and glad to hear it because to connect to your other point, the other person who was talking about security in a platform approach versus best of breed, he said listen, platform approaches you're already with the vendor you can bundle a little bit, but the problem is if you're just going to acquire a new technology every time there's a new threat, the bad guys are just going to switch the threat and you can't acquire indefinitely so therefore best of breed with security will always beat platform and that's kind of a message to Palo Alto and Cisco in my opinion because they seem to be the ones fighting that out, even Microsoft now trying to say that they're a platform approach in security. >> Wow and it says to me the security business is going to as we predicted is going to stay fragmented because you're still going to get that best of breed, you know just like cloud is going to be fragmented and it's you know multiple vendors, ever since I've been in this business people are trying to consolidate the number of vendors but technology moves so quickly, it gives competitive advantage, Erik, awesome thank you so much for joining us, I'm looking forward to next Tuesday with the next VENN and love to have you back and talk about it any time, you're a great guest, thanks so much. >> Certainly! I'll do my best to get a better AV connection the next time guys, I apologize for that, but it was great talking to you guys. >> Hey, we're all learning you know, so thank you everybody for watching, this Dave Vellante for theCUBE and we'll see you next time. (upbeat music)

>> From theCUBE studios in Palo Alto in Boston, connecting with our leaders all around the world, this is theCUBE Conversation. >> Hello everyone, and welcome to this week's Wiki Bond CUBE Insights powered by ETR. In this breaking analysis, we're changing the format a little bit, we're going right to the new data from ETR. You might recall that last week, ETR received survey results from over 1000 CIOs and IT practitioners. And they made a call at that time, which said that actually surprisingly, a large number of respondents about 40% said they didn't expect a change in their 2020 IT spending. At the same time about 20% of the survey said they're going to spend more largely related to Work From Home infrastructure. ETR was really the first to report on this. And it wasn't just collaboration tool like zoom and video conferencing. It was infrastructure around that security, network bandwidth and other types of infrastructure to support Work From Home like desktop virtualization. ETR made the call at that time, that it looked like budgets, were going to be flat for 2020. Now, you also might recall consensus estimates for 2020 came into the year at about 4%, slightly ahead of GDP. Obviously, that's all is changed. Last week, ETR took the forecast down, and we're going to update you today. We're now gone slightly negative. And with me to talk about that again, is Sagar Kadakia, who's the Director of Research at ETR. Sagar, great to see you again, thank you for coming on. >> Thanks for having me again David, really appreciate it. >> Let's get right into it. I mean, if you look at the time series chart that we showed last week, you can see how sentiment changed over time. That blue line was basically people who responded to the survey starting at 3/11. Now you've updated that, that forecast, really tracking after the COVID-19 really kicked in. Can you explain what we're seeing here in this chart? >> Yeah, no problem. The last time we spoke, we were around an N or sample size of about 1000. And we were right around that zero percent growth rate. One of the unique things that we've done is we've left this survey open. And so what that allows us to do is really track the impact on annual IP growth, essentially daily. And so as things have progressed, as you look at that blue line, you can really see the growth rate has continued to trend downwards. And as of just a day or two ago, we're now below zero. And so I think because of what's occurring right now, the overall current climate continues to slightly deteriorate. You're seeing that in a lot of the CIOs responses. >> If you bring that slide back up Andrew, I want to just sort of stay on this for a second. What I really like about what you guys are doing is you're essentially bringing event analysis in this. So if you see that blue line, you see on 3/13, a national emergency was declared and that's really when the blue line started to decline. What ETR has done is kind of reset that, reset the data since 3/13. Because it's now a more accurate reflection of what's actually happening happening in the market. Notice in the upper right, it says the US approved... The Senate last night approved a stimulus package. Actually, they're calling it an Aid Package. It's really not a stimulus package. It's an aid package that they're injecting to help. A number of our workers actually sounds like existing workers and small businesses and even large businesses like Boeing. Boeing was up significantly yesterday powering the Dow and potentially airlines. As you can see ETR is going to continue to monitor the impact, and roll this out. Really ETR is the only company that I know of anyway, that can track this stuff on a daily basis. So Sagar, that event analysis is really key, and you're going to be watching the impact of this stimulus slash aid packet. >> Yeah, so here's what we're doing on that chart. If you look at that yellow line again, effectively what you're seeing is, if we remove the first I think six or seven 100 respondents that took the survey and start tracking how budgets are changing as a 3/13, that's when the US declared a national emergency. We can recalculate the growth rate. And we can see it's around... It's almost negative one and a half. And so the beauty of doing this, really polling daily, is it allows us to be just as dynamic, as a lot of these organizations are. I think one of the things we talked about the last time was some of these budget changes are going to be temporary. And organizations are figuring out what they're doing day by day. And a lot of that is dictated based on government actions. And so uniquely here, what we're able to do is kind of give people a range and also say, "based on these events, "this is how things are changing."" And so I think we think the first biggest event was on 3/13, where the US effectively declared a national emergency over COVID-19. And now what we're going to start tracking between today and over the weekend, and Monday is: Are people getting more positive? Is there no change? Or is there further deterioration because of this aid package that got passed this morning? >> Now I want to share with our audience. I've been down to ETR's headquarters in New York, it's staffed with a number of data scientists and statistical experts. The ends here are well over 1000. I think we're over 1100 now, is that correct? What is the end that we're at today? >> That's right. Yeah, we're we're pushing right over 1200. And we're going to expect a few more hundred respondents. The good thing is it's balanced, which is important. All these events that are occurring, we want to make sure that we have at least a few hundred more CIOs and IT executives answering. And so every week as we kind of continue to do some of these breaking analysis, there are going to be a few more hundred CIOs. And we'll really be able to zero in or hone in on what they're saying. The growth rate on the IT side, it's going to continue to fluctuate. It's going to continue to be dynamic over the next few weeks, but right now versus (murmurs). We are in negative territory now. >> I want to also explain I mean, the end is important. But in and of itself, it's not the be all end all, what's important about the end, the larger it is, the more cuts you can make. And I want to share... You guys have been doing this for the better part of a decade. And so you have firm level data. And you've got indicators and markers that you've tracked over the years. For example, one of the things that ETR tracks is Giant Public and Private GDP we call it. And that's for example, I'm not saying that, that Mars is one of the companies but Mars is a huge private company, UPS before they went public, huge private company. ETR tracks firm level data, they of course anonymize that, but they can see markers and trackers and trends, and probably have, I don't know dozens of those types of segments. So the bigger the end is, the more... The higher the end within those buckets, and the better the confidence interval. And you guys are experts at really digging into that in trying to understand and read the tea leaves. >> That's right. The key to this survey is, it's not anonymous, we know who is taking the survey. Now to your point, we do anonymize and aggregate it when we display those results. But one of the unique capabilities is we're able to see all of these trend lines. The entire drill down survey that we did on COVID-19 through the lenses of different verticals so we can take a look at industrials materials manufacturing, healthcare, pharma, airlines, delivery services, health, and all these other verticals and get a feel for which ones are deteriorating the most, which ones look stable. And, we talked about last week and it continues to remain true this week. And again, the ends have gone up on all these verticals on the supply chain side. Industrials, materials manufacturing, healthcare, pharma, they continue and they also anticipate to see these things in the next few months, broken supply chains and on the demand side, it's really retail consumer airlines delivery services. That's coming down quite substantial. And I think, based on what United and some of these other airlines have done these last few days in terms of cutting capacity, that's just a reflection of what we're seeing. >> Let's dig into the data a little bit more and bring up the next chart. Last week, we're about 40% actually, exactly 40% where that gray line that said: CIOs and IT practitioners said, "no change." They're like the budget of the green. The green was actually at about 20 21%. So it's slightly up now at 22%. And you can see, most of the the green is in that one to 10% range. And you can see in the left hand side, it's obviously changing. Now we're at 37% in the gray line, slightly up in the green, and a little bit more down and in the red. So take us through what's changed Sagar. >> Yeah, to reiterate what we were talking about last week, and then I'll kind of talk about some of the change is, I think the market and a lot of our clients, they were expecting the growth rate to be more negative. Last week when we talked about zero percent. The reason that, it wasn't more negative is because we saw all these organizations accelerating spend because they had to keep employees productive. They don't want to catastrophe in productivity. And so you saw this acceleration, as you mentioned earlier in the interview around Work From Home tools, like collaboration tools, increasing bandwidth on the VPN networking side, laptops, MDM, so forth and so on. That continues to hold true today. Again, if we use the same example that we talked about last week, (mumbles) organizations, they have 40 50 60,000 employees or more working from home. You have to be able to support these individuals and that's why we're actually seeing some organizations accelerate spend and the majority organizations even though they are declining spend, some of that is still being offset by having to spend more on what we're calling kind of this Work From Home infrastructure. But I will say this: you are seeing more organizations versus last week, which is why the growth rate has come down, moving more and more towards the negative buckets. Again, there is some offset there. But the offset we talked about last week, Work From Home infrastructure is not a one-for-one when it comes to taking down your IT budget, and that continues to hold true. >> Let's talk a little bit about some of the industries retail, airlines, industrials, pharma, healthcare, what are you seeing in terms of the industry impact, particularly when it relates to supply chains, but other industry data that went through? >> I think the biggest takeaway is that healthcare pharma, industry materials, manufacturing organizations, they've indicated the highest levels of broken supply chains today. And they think in three months from now, it's actually going to get worse. And so we spoke about this last time, I don't think this is going to be a V shaped recovery from the standpoint of things are going to get better in the next few weeks or the next month or two. CIOs are indicating that they expect conditions to worsen over the next three months on the supply chain side and even demand the ones that are getting hit the hardest on the retail consumer side airlines, delivery services, they are again indicating that they anticipate demand to be worse three months from now. The goal is to continue serving and pulling these individuals over the next few weeks and months and to see if we can get a better timeline as we get into two edge but for the next few months, conditions look like they're going to get worse. >> I want to highlight some of the industries and let's make some comments here. Retail... You guys called out retail airlines, delivery services, industrials, materials, manufacturing, pharma and healthcare, there's some of the highest impact. I'll just make a few comments here. I think retail really, this accelerates the whole digital transformation. We already saw this starting, I think you'll see further consolidation and some permanence in the way in which companies are pivoting to digital. Obviously, the big guys like Walmart and the like are competing very effectively with Amazon. But, there's going to be some more consolidation there. I would say potentially the same thing in airlines that really are closely watching what the government is going to do. But, do we need this this many airlines? Do we need all this capacity? Maybe yes, maybe no. So watching that. And of course, healthcare right now, as I said last week in the braking analysis, they're just too distracted right now to buy anything. And they're overwhelmed. Now, of course, pharma, they're manufacturing, so they've got disruptions in supply chain and obviously the business. But there could be an upside down the road as COVID-19 vaccines come to the market. >> On the upside, I think you kind of hit it, right on the nail. When you get these type of events that occur. Sometimes it speeds up digital transformation. one of the things that the team and I have been talking about internally is: this is not your father's Keep The Lights On strategy so to speak. Organizations are very focused on maintaining productivity versus significantly cutting costs. What does that mean? Maybe three to five years ago, if this had occurred, you would have seen a lot of infrastructure as a service platform, as a service... A lot of these cloud providers, you'd have seen those projects decline as organization spent more on on plan. And we're not seeing that. We're seeing continued elevated budgets on the Cloud side and Micron just reported this morning and again, cited strong demand on the Cloud and data center side. That just goes to show that organizations are trying to maintain productivity. They want to continue these IT roadmaps and they're going to cut budgets where they can, but it's not going to be on the Cloud side. >> You know what, that's a really important point. This is not post Y2K, not 2008, 2007, 2008, 2009 because we've, pretended but a 10 year bull market, companies are doing pretty well, balance sheets are generally strong. They somewhat in whether, it was used to stronger companies, whether they're so they're not focused right now anyway, on cut cut cut as it was in the last few downturns. Let's go into some of the vendor data and some of the sector data, Andrew if you'd bring up the next chart. What we're showing here is really comparing the the blue is the January survey to the current survey in the yellow, and you're seeing some of the sectors that are up taking. You've identified mobile device management, big data and Cloud, some of the productivity, you mentioned DocuSign, Adobe zoom, Citrix, even VMware with the desktop virtualization. We've talked about security, you've got marketing and LinkedIn, my LinkedIn inbound is going through the roof as people are probably signing up for a LinkedIn premium. Let's talk about this a little bit. What you're seeing... Help us interpret this data. >> Yeah, sure. One of the things that everybody wants to know is, okay, so Work From Home infrastructures getting more spend for the vendors that are benefiting the most. One of the unique things that we can do is because we're kind of collecting all the DNA, from a tech stack aside from these organizations, we can overlap, how they're spending on these vendors. And also with the data that they provide in terms of whether they are increasing or decelerating their IT budgets because of COVID-19. What you're looking at here, is we isolated to all of those organizations and customers that indicated that they're increasing their budgets because of COVID-19. Because of the Work From Home infrastructure. And what we're doing is we're then isolating to vendors that are getting the most upticks in spend. This actually really nicely aligns with a lot of the themes that we were talking about collaboration tools. You see that VMware, they're all right on the virtualization side, MDM with Microsoft. And you're seeing a lot of other vendors with Citrix and Zoom and Adobe. These are the ones that we think are going to benefit from this kind of Work From home infrastructure movement. And again, it's all very... It's not just the qualitative and the commentary. This is all analytics, we really went in and analyzed every single one of these organizations that were increasing their budgets and tried to pinpoint using different data analysis techniques, and to see which vendors were really getting the majority or the largest, pie of that span. >> We had Sanjay Poonen, who's the CEO of VMware on yesterday and he was very sensitive but not trying to hear as your ambulance chasing because obviously they do desktop virtualization and VDI big workload. At the same time. I think he was also being cautious because there's probably portions of their business that are going to get hit, Michael Dell similarly, I think he was quoted in CRN as saying, "hey, are we seeing momentum in our laptop "business in our mobile business?" But as you guys pointed out, the flip side of that is their on prem business is probably going to suffer somewhat. It's a kind of like the Work From Home is a partial offset, but it's not a total offset. You're seeing that with a lot of these companies. Obviously, Microsoft, AWS, a lot of the cloud companies are very well positioned, how about some of the guys that are going to get impacted? Obviously, as I said that the on-prem folks, you guys talked about earlier it's not your father's Keep Your Lights On strategy. Okay but this... You asked the question, is this a reprieve for the legacy guys? Not quite, was your conclusion. What did you mean by that? >> I think a lot of times when you have these sub-events, the clients a lot of the market think okay, "some of the legacy vendors are going to do well "because, we're in malicious times, "and we don't want to keep on this kind "of next generation strategy." We're not seeing that and to the point that you highlighted earlier. There are... Even though these companies like Dell, like Cisco, where they're seeing some products accelerate, there are products to your point that are not doing as well The desktops, right? As an example for Dell or the storage. On the negative side or the legacy side where we're just not seeing any traction, the IBM's the Oracle on-prem, Symantec, which got acquired by Broadcom, checkpoint MicroStrategy. And there's another half dozen other vendors that we're seeing where they are not capitalizing. There is no reprieve for these legacy names. And we don't anticipate them getting additional spend, because of this Work From Home infrastructure kind of movement. >> Let's unpack that a little bit. It's interesting Symantec and checkpoint in security, security you think would get an uplift there, but what you're seeing here is... Let me just tell the audience who you called out. Symantec Teradata MicroStrategy, NET app Checkpoint Oracle and IBM, and I know there are others. But I would say this: These are companies that are getting impacted in a big way by the Cloud. Particularly like Symantec and checkpoint. That's a Cloud security companies are actually probably still doing pretty well. You take Teradata, their data is getting impact by the Cloud from folks like Snowflake and Redshift, MicroStrategy a lot of modern BI coming out. NetApp here's a company that's embraced the Cloud, but the vast majority of the business changess to be on-prem. I think IBM and Oracle are interesting. They're somewhat different. Actually a lot different IBM has services exposure, and you guys call that out, particularly around outsourcing. At the same time, it's going to be interesting to see IBM is going to get a lot of resources. Going to be interesting to see if they start coming out with corona virus related services. So watching for that, and then Oracle, their whole story is, "okay, we got Gen 2 Cloud and Mission Critical in the Cloud, but they're on-prem businesses, I think clearly going to be affected here is kind of what you guys pointed out, and I would agree with your thoughts. >> I think what we're seeing is organizations they had a Cloud roadmap, and that roadmap is continuing. The one thing that is changing in some of that roadmap is we need to be able to support employees as they work from home as we achieve this roadmap. And so that's why we're not seeing a reprieve on the legacy side. But we are seeing upticks and spin where we just wouldn't anticipate them right on maybe on Citrix, on Dell laptops, Adobe and a few other areas. Now, in terms of security side, some of the next gen security vendors like CrowdStrike APi, which is an MFA, those vendors are doing well. It makes sense, where you have more people working from home, you have more devices that are connecting to data applications. Just a component itself. And so you would expect spend to continue going up as you need more authentication, more Endpoint Protection. Cisco Meraki they do Cloud Networking. That piece is looking very good, even though Hardware networking is not looking very good at all. The Cloud Networking is looking good, which again makes sense, as you're increasing bandwidth on that side. >> Definitely stories of two sides of that coin. >> That's right >> I want to... Andrew, if you want to... If you wouldn't mind bringing up the next job, we're going to go back to the first one that we showed you with the time series. This is a very important point. Again, we can't stress it enough. We want to understand the impact of the stimulus or aid package. And ETR is going to continue to track that. What can we expect from you guys over the next week or so? >> The goal is to determine whether or not the stimulus is having an impact on how people are responding to our survey as a relates to how they're changing their budgets. The next four or five days, if we start seeing an uptick in this yellow and blue lines here, I think that's a positive. I think that shows that people are kind of wrapping their heads around, great government is taking action here. There is a roadmap in place to help us get out of this. But if the line continues coming down, it just may be that the last few weeks or the last month or so, there was just so much damage. There's not really... There's no coming back from this at least in the near term. So we are kind of watching out for that. >> Well, the Fed is definitely active. >> They're doing right what they can, they're pushing liquidity into the marketplace. People think out of bullets. I don't agree with the Fed. Fed has a quite a bit of of headroom and some dry powder, (murmurs) which is awesome. But the Fed itself, can't do it. You needed to have this fiscal stimulus. So we're excited to see that come to market. I think what I would say to our audiences, my concern is uncertainty. The markets don't like uncertainty and right now there's a lot of uncertainty. If you saw the piece on medium of The Hammer And The Dance it lays out some scenarios about what could happen to the healthcare system. You see people who say, "hey, we should shut down for 10 weeks." The president saying, "hey, we want "to get back to work by by April." The big concern that I have is: okay, maybe we can stamp it out in the near term and get back to work by late April, early May. But then what happens? Are people going to start traveling again? Are people going to start holding events again? And I think there's going to be some real question marks around that. That uncertainty I think, is something that we obviously have to watch. I think there is light at the end of the tunnel, when you look at China and some of the other things that are happening around the world, but we still don't know how long that tunnel is. I'll give you final thoughts before we wrap. >> I think and that's the biggest thing here is the uncertainty, which is why we're doing a lot of this event analysis. We're trying to figure out: after each one of these big events, is there more certainty in people's responses? And just we were talking about, sectors and verticals and vendors that are not doing well. Because the uncertainty we're seeing a lot of down ticks and spend amongst outsource IT and IT consulting vendors. And as long as the uncertainty continues, you're going to see more and more IT projects frozen, less and less spend on those outsource IT and IT consulting vendors and others. And until there's something really in place here where people feel comfortable, you're going to probably see budgets remain where they are, which right now they're negative. >> Folks as we said last week, Sagar and I, ETR is committed, theCUBE is committed to keep you updated on a regular basis. Right now on a weekly cadence. As we have new information, we will bring it to you. Sagar, thanks so much for coming on and supporting us. >> You're welcome and thanks for having me again. >> You're welcome. Thank you for watching this CUBE Insights powered by ETR. And remember all these breaking analysis available on podcast, go to etr.plus that's where all the action is in terms of the survey work. siliconangle.comm covers these breaking analysis and I published weekly on wikibond.com. Thanks for watching everybody. Stay safe. And we'll see you next time.

hello everyone and welcome to this week's wiki Bond cube insights powered by ETR in this breaking analysis we're going to share fresh data from etrs latest spending survey in particular ETR added a drill down question on the impact of coronavirus now yesterday I had the pleasure of hosting ETRS director of research Sagar khadiyah who took us through the details of that survey and we're gonna bring his comments in to this discussion so today I want to accomplish three things first I want to summarize the macro where are we at this point on the second day of spring in Massachusetts second I want to assess the impact from Co vid 19 on i.t spend for 2020 and the third thing I want to do is drill down into the findings from ET ARS latest survey after we do this I'll summarize and talk about what the outlook it looks like so where are we today you know we've gone from the fear of missing out in the stock market to basically fall out fear now as you well know the economic impact is not pretty I gotta say this is the first time I've ever seen a government imposed recession rightly so to save lives but I've also never seen such an escrow the board doubled downward shift in both supply and demand this creates uncertainty and ambiguity in pricing which makes forecasting anything really really difficult the liquidity shock and the credit risks are really of primary concern right now the price of oil is a huge issue why it's because energy companies account for a very sizable portion of the high-yield credit market over 10% so as prices fall it's going to be harder for oil companies to repay loans this creates default risk so this is the markets freaked out and functioning very very poorly now a poorly functioning market signals that we are not at the bottom everybody wants to know where the bottom is I'm not a stock picker and I'm not a market technician but I've seen a lot of downturns I'll share a quick story when I was at IDC we had an exclusive deal with Goldman Sachs two of the Goldman analysts were embedded into our Framingham offices now in 1987 on Black Monday and the following weeks I would stand at their real-time terminal there was no internet back then kids nobody had access to real-time trades but I did and I would watch the market in freefall and I would see it bounce back and then I would see it freefall again what I will tell you is this bottoms are impossible to protect everybody says that why because bottoms are not technical their psychological their emotional and in 1987 and then after the dot-com bust and after the financial crisis each time you saw the S&P with rally sometimes it would rally as high as 10% it would suck people back into the market and then pull back and that's going to happen here the markets not just gonna be fine any day now now if you're looking for some positives there is some silver linings that the canals in Venice are running clear which is amazing to see nitrous oxide levels over China are way way down okay let's shift and take a look at what this all means for IT spending what are the industries that are being most affected right now now as I show here there are some obvious sectors like energy and transportation retail etc but let's listen to Sagar from ETR what he told me yesterday now pay particular attention to what he says about supply chains roll the clip yeah industrials materials manufacturing retail consumer you know the healthcare pharma they you know those are the verticals from a supply chain perspective that are in you know elevated levels of broken supply chains and what's actually interesting is we in this survey we actually asked not only whether your supply chains were broken today but do you anticipate or do you continue or do and just they continue getting experiencing broken supply chains in three months from now and those percentages were up and I think that really tells us that this is not a one or two month type of recovery we're gonna see supply chains and demand continuing to be broken continuing to come down over the next three four months that I think is probably one of the biggest takeaways from the drill-down study so you see in the EGR survey it really underscores that we are not likely to see a quick snap back it's not a 1 or a two-month fix now in my own research I go out to the field I talked to people on the cube within our network I can add some excuse me some comments and some color here what we see is that healthcare right now is so swamped that they're not buying anything I mean they just they just are how many cycles most customers are taking they're skunkworks put anyone hold they're narrowing the capital spend and really focusing only on mission-critical items banks even though banks are down they have capital and they're still buying they got cash thanks they're smart and they're negotiating very hard for big discounts the other thing is a lot of customers have no choice but to buy many are on an AR are in your recurring revenue or annual current contract and have compliance edicts like we got to send out monthly statements if they don't renew they can't use their software to do that it's different but somewhat similar with maintenance contracts so you're seeing that sales teams are clearly bringing down their forecasts but they're not cutting them in half mmm not yet anyway all right but here's what's somewhat counterintuitive and you really you can really only quantify this with data some companies actually believe it or not they're spending more why because they try to preserve productivity would their work from home solutions they need infrastructure to do that so they're pivoting their budget to work from home they also have to secure that infrastructure so that means the cyber cyber security is seeing a little bit of momentum now let's take a look at the EGR data this is from more than a thousand CIOs and IT buyers it's fresh data right from March 40% of the survey said they see no current impact on their IT budget that is surprisingly high and look at all the green to the right-hand side you know most are showing five to ten percent increase but more than 20% of the respondents are actually expecting to increase budget in 2020 for things like work from home infrastructure let's take a listen to saga kadia who explains this further roll the clip yeah I think that's I think the the positive spent or the no change in spend I think that is what a lot of the market right now is missing and I haven't seen a lot of research on that because no one else has really been able to quantify how budgets are changing and so as you noted we're actually seeing people accelerate spend because of Kovan 19 and the reason is you know they're trying to avoid a catastrophe in productivity they are ramping up all this work from home infrastructure right not just collaboration tools virtualization infrastructure increasing VPN networking bandwidth mobile devices laptops security desktop support right you're a fortune 500 organization and you have 40 50 60 thousand employees working from home all the sudden you have to be able to support those employees and as a result you're actually seeing a large number of organizations accelerating spend and even the ones that are being hurt by the broken supply chains the demand coming down you're seeing some of their spendy seller ation being offset by spending a little bit more kind of what we're calling this kind of work from home infrastructure so sada went on to explain that consensus consensus expectations for global IT spend they were roughly at four percent before coronavirus and the pullback takes us now to flat or zero percent but what's not been reported is really the offset to the declines particularly from the work from home infrastructure now obviously this could all change in a likely will but this next chart really underscores that uncertainty and really the dynamic nature of the risk here what this track charts is the daily impact of the expected retraction so earlier this month in the et our survey you saw about a two percent retraction and exceed by March seventeenth it's down to flat so as we heard from Sagar the et our thesis is currently at 0% IT spend for growth in 2020 because of some of the offset now if the news continues to worsen the outlook is going to follow alright I want to wrap up by summarizing and and talking about what what's next and what you can expect so the current call as I said is for flat IT spend in 2020 it would be worse if not for the uptick in work from home and corollaries security infrastructure now it's not just collaboration and video tools it's virtualization solutions it's VPNs network upgrades mobile devices laptops and and the software to to secure all this stuff and make it work now despite the work from home offset we fully expect this picture or worsen over the next three months you got a watch for the duration of the the remote work at home mandates the travel bans the the no meeting policies there's a little doubt that productivity is going to be heard as we discussed yesterday with Sagar you can't just flick a switch and scale remote worker productivity you know that's a real challenge now having said that the expectation from CIOs is that this spending decline is going to be temporary what's unclear is the shape of the recovery is it going to be a v-shaped or a slow slog you can see the distant rim on the other side of the canyon it's there we just don't know how far away it is and we don't know how deep the canyon really is now there will be changes in our opinion that are going to be permanent as we said on a last braking analysis over the next several months organizations they're going to learn new things and that is going to shape their thinking in the future I personally expect accelerated digital transformations and a sustained viability of the work from home options you're gonna see new capabilities from distant learning with all the college shutdowns you're also going to see new risk mitigation paradigms you know the list goes on and on and on in terms of what we're going to see here as I said earlier there seemed to be some environmental benefits you know if you're looking for some positives here I think this next generation is much more in tune with that and you have my word and my promise and our team's promise that the cube and ETR is going to be here to keep you up to date et our survey data keeps rolling in you can check that out at ETR dot plus they are vigilant on this issue as are we from our remote studios look this is the new normal our skeleton crews are in studio and we're keeping the content flowing as many folks on our team they're working from home and they're on the grid currently our Palo Alto studio is fully operational four days a week each week and we're capturing remote guests on camera and Boston is open as well so get in touch if you need anything we are here to help and we're here to serve you okay this is Dave Villante for wiki bones cube insights powered by ETR thanks for watching this breaking analysis remember these episodes they're available on podcasts wherever you listen please connect with me emails David Galante at Silicon angle dot-com comment on my LinkedIn post I always appreciate that from the community thanks for watching everybody wishing good health and safety for you and your families we'll see you next time [Music]

>> Live from Stanford University, it's theCUBE. Covering Global Women in Data Science Conference. Brought to you by SiliconANGLE Media. >> Welcome back to theCUBE I'm Lisa Martin. We've been live all day at the fourth annual Women in Data Science Conference. I'm with John Furrier, John, this is not just WiDS fourth annual, it's theCUBE's fourth time covering this event. There were, as Margot Gerritsen, Co-Founder stopped by this afternoon and was chatting with me saying, there's over 20,000 people they expect today just to watch the WiDS livestream from Stanford. Another 100,000 engaging in over 150 regional WiDS events, and 50 countries, CUBE's been there since the beginning tell us a little bit about that. >> Well what's exciting about this event is that we've been there from the beginning, present at creation with these folks. Great community, Judy Logan, Karen Matthys, Margot. They're all been great, but the vision from day one has been put together smart people, okay, on a stage, in a room, and bring it, syndicate it out to anyone who's available, meet ups and groups around the world. And if you bet on good content and quality people the community with self-form. And with the Stanford brand behind it, it really was a formula for success from day one. And this is the new model, this is the new reality, where, if you have high quality people in context, the global opportunity around the content and community work well together, and I think they cracked the code. Something that we feel similar at theCUBE is high quality conversations, builds community so content drives community and keep that fly wheel going this is what Women in Data Science have figured out. And I'm sure they have the data behind it, they have the women who can analyze the data. But more importantly is a great community and it's just it's steamrolling forward ahead, it's just great to see. 50 countries, 125 cities, 150 events. And it's just getting started so, we're proud to be part of it, and be part of the creation but continue to broadcast and you know you're doing a great job, and I wish I was interviewing, some of the ladies myself but, >> I know you do >> I get jealous. >> you're always in the background, yes I know you do. You know you talk about fly wheel and Margot Gerritsen we had her on the WiDS broadcast last year, and she said, you know, it's such a short period of time its been three and a half years. That they have generated this incredible momentum and groundswell that every time, when you walk in the door, of the Stanford Arrillaga Alumni Center it's one of my favorite events as you know, you feel this support and this positivity and this movement as soon as you step foot in the door. But Margot said this actually really was an idea that she and her Co-Founders had a few years ago. As almost sort of an anti, a revenge conference. Because they go to so many events, as do we John, where there are so many male, non-female, keynote speakers. And you and theCUBE have long been supporters of women in technology, and the time is now, the momentum is self-generating, this fly wheel is going as you mentioned. >> Well I think one of the things that they did really well was they, not only the revenge on the concept of having women at the event, not being some sort of, you know part of an event, look we have brought women in tech on stage, you know this is all power women right? It's not built for the trend of having women conference there's actual horsepower here, and the payload of the content agenda is second to none. If you look at what they're talking about, it's hardcore computer science, its data analytics, it's all the top concepts that the pros are talking about and it just happens to be all women. Now, you combine that with what they did around openness they created a real open environment around opening up the content and not making it restrictive. So in a way that's, you know, counter intuitive to most events and finally, they created a video model where they livestream it, theCUBE is here, they open up the video format to everybody and they have great people. And I think the counter intuitive ones become the standard because not everyone is doing it. So that's how success is, it's usually the ones you don't see coming that are doing it and they think they did it. >> I agree, you know this is a technical conference and you talked about there's a lot of hardcore data science and technology being discussed today. Some of the interesting things, John, that I really heard thematically across all the guests that I was able to interview today is, is the importance, maybe equal weight, maybe more so some of the other skills, that, besides the hardcore data analysis, statistical analysis, computational engineering and mathematics. But it's skills such as communication, collaboration collaboration was key throughout the day, every person in academia and the industry that we talked to. Empathy, the need to have empathy as you're analyzing data with these diverse perspectives. And one of the things that kind of struck me as interesting, is that some of the training in those other skills, negotiation et cetera, is not really infused yet in a lot of the PhD Programs. When communication is one of the key things that makes WiDS so effective is the communication medium, but also the consistency. >> I think one of the things I'm seeing out of this trend is the humanization of data and if you look at I don't know maybe its because its a women's conference and they have more empathy than men as my wife always says to me. But in seriousness, the big trend right now in machine learning is, is it math or is it cognition? And so if you look at the debate that machine learning concepts, you have two schools of thought. You have the Berkeley School of thought where it's all math all math, and then you have, you know kind of another school of thought where learning machines and unsupervised machine learning kicks in. So, machines have to learn, so, in order to have a humanization side is important and people who use data the best will apply human skills to it. So it's not just machines that are driving it, it's the role of the humans and the machines. This is something we have been talking a lot in theCUBE about and, it's a whole new cutting edge area of science and social science and look at it, fake news and all these things in the mainstream press as you see it playing out everyday, without that contextual analysis and humanization the behavioral data gets lost sometimes. So, again this is all data, data science concepts but without a human application, it kind of falls down. >> And we talked about that today and one of the interesting elements of conversation was, you know with respect to data ethics, there's 2.5 trillion data sets generated everyday, everything that we do as people is traceable there's a lot of potential there. But one of the things that we talked about today was this idea of, almost like a Hippocratic Oath that MDs take, for data scientists to have that accountability, because the human component there is almost one that can't really be controlled yet. And it's gaining traction this idea of this oath for data science. >> Yeah and what's interesting about this conference is that they're doing two things at the same time. If you look at the data oath, if you will, sharing is a big part, if you look at cyber security, we are going to be at the RSA conference this week. You know, people who share data get the best insights because data, contextual data, is relevant. So, if you have data and I'm looking at data but your data could help me figure out my data, data blending together works well. So that's an important concept of data sharing and there's an oath involved, trust, obviously, privacy and monitoring and being a steward of the data. The second thing that's going on at this event is because it's a global event broadcast out of Stanford, they're activating over 50 countries, over 125 cities, they're creating a localization dynamic inside other cities so, they're sharing their data from this event which is the experts on stage, localizing it in these markets, which feeds into the community. So, the concept of sharing is really important to this conference and I think that's one of the highlights I see coming out of this is just that, well, the people are amazing but this concept of data sharing it's one of those big things. >> And something to that they're continuing to do is not just leverage the power of the WiDS brand that they're creating in this one time of year in the March of the year where they are generating so much interest. But Margot talked about this last year, and the idea of developing content to have this sustained inspiration and education and support. They just launched a podcast a few months ago, which is available on iTunes and GooglePlay. And also they had their second annual datathon this year which was looking at palm oil production, plantations rather, because of the huge biodiversity and social impact that these predictive analytics can have, it's such an interesting, diverse, set of complex challenges that they tackle and that they bring more awareness to everyday. >> And Padmasree Warrior talked about her keynote around, former Cisco CTO, and she just ran, car, she's working on a new start up. She was talking about the future of how the trends are, the old internet days, as the population of internet users grew it changed the architecture. Now mobile phones, that's changing the architecture. Now you have a global AI market, that's going to change the architecture of the solutions, and she mentioned at the end, an interesting tidbit, she mentioned Blockchain. And so I think that's something that's going to be kind of interesting in this world is, because there's, you know about data and data science, you have Blockchain it's the data store potentially out there. So, interesting to see as you start getting to these supply chains, managing these supply chains of decentralization, how that's going to impact the WiDS community, I'm curious to see how the team figures that out. >> Well I look forward to being here at the fifth annual next year, and watching and following the momentum that WiDS continues to generate throughout the rest of 2019. For John Furrier, I'm Lisa Martin, thanks so much for watching theCUBE's coverage, of the fourth annual Women in Data Science Conference Bye for now. (upbeat electronic music)

I'm from San Juan Puerto Rico it's the cube covering coin agenda brought to you by silicon angle hello everyone welcome to special cube covers we're here exclusive conversations at coin agenda we just had blockchain unbound Puerto Rico is where we're at and we'll covering all the trends and latest news and analysis and cryptocurrency blockchain decentralized internet my next guest is Dan Bates founder and president of impact PPA Dan great to have you on thanks John glad to be here so one of the trends I'm noticing is a couple things flight to quality on the ico side first of all lot of the Deadwood's being pushed aside by the community still some stuff out there that you know might not have a business model but good entrepreneurs doing it then you start to see real use cases emerging I interviewed Green Chain they're disrupting how produce grains movement between suppliers and buyers and other impact mission driven stuff like how do you solve the energy crisis right we're in Puerto Rico right the grids half alive everyone knows that you're doing something really compelling take a minute to explain what you guys are doing is you have a token up and running what are you guys doing what's your value proposition so what we do is we've created a system by which you can now have renewable energy delivered to developing nations and we've taken the intermediary out of the equation whereby the world bank historically would take years to fund a project if they would do that they're big trepidation was how do you get paid at the end of the day so what we've done is we've come up with a solution that allows for generation of rent you know with the energy using renewables and track it all the way through to a payment rail if you will that a user can now prepay for energy on their mobile device it's m-pesa if you know what end pace is in Africa 70% of the transactions in Africa are done on a mobile device we are decentralized and pace up for energy so ok mobile app I get out you everyone can think about BRR and all the benefits and Airbnb brings you just have stuff happened talk about what's under the hood what's actually disruptive about what you guys are doing give some specifics because you're tying into Isis and jittering energy using the blocks you have a token how does it all work okay so what we do is in in the in the ability to fund the project getting the World Bank getting USA USA ID out of the equation what we now allow for is the community typically we are very liberal or tend to skew liberal right we actually believe that climate change is real and we want to help support these economies and these new types of you know betterment of the planet right but we don't expect that to be a philanthropic effort so people will buy the impact token which will fund projects that will then create what we're doing right now it's an AR C 20 of what we call a gen credit not a secondary token it's a credit that allows people to access the ledger so a guy will go down to the store just like he does right now and he charges his phones with more minutes or with a data plan it's fiat to a plan a digital currency we do the same thing it's now fiat into a gen credit we call it that allows them and transact with the blockchain so we get identity we get reputation we get trust and honesty about those transactions using the blockchain okay so where does the energy come from because the energy sources now are interesting because you're seeing people do great amazing things solar panels wind farming they see an Asia top of the apartment buildings there's a lot of wind yeah generally but how do they move that power into the market all right so what we do is right now we're using wind and solar rooftop or micro grid for instance we just finished a project in Haiti doing 150 kilowatts for a town called les a wha they haven't had power in two years a hurricane matthew prior to Hurricane Maria coming through Puerto Rico Puerto Rico's in a similar situation right so we created this micro grid using their existing infrastructure of transmission to distribution then we put smart meters on the home that smart meter connects to the blockchain and now people can have power at their homes pay-as-you-go awesome so what I've been to some of the hurdles you guys have had obviously to me it's a no-brainer of energy being tokenized is that makes such sense why wouldn't you want to do that obviously these regulatory issues that are incumbent legacy Dogma or or specific legislation of paperwork what not where's the efficiencies being automated away with the blockchain and what are some of the hurdles that you guys have gone through to get to this point all right so we work in the emerging economies of the world oftentimes there is not the kind of regulation that we have in the US or in the developed world like the EU something like that so when we go out to remote we go out to remote places like you know in Kenya and Ethiopia Latin America wherever it might be we don't have some of the Institute's that you would have if you were trying to set this up in Palo Alto I don't have to worry about PG&E and an interconnect and an off take and all that so what we do is that we'll go out set up a micro grid we're giving power to people who may have never had it before so all those regulatory layers are stripped away they're grateful for it that can they pay for it yes they can't afford to go buy a solar panel and a wind turbine on batteries and inverters nor would they know how to hook it all up yeah but they know that if they can buy power on a cellphone like they're already doing for other goods and services now we've got a game-changer Dan talk about the token economics I get this the payment rail piece mobile app no-brainer I get that check okay easy to use now I want to as a buyer of energy there's a token I some children there where's the other side of the marketplace how does that token economics work do you just take us through a use case and walk us through that example sure so as I said the impact token is our base token that will be the the value token that purchasers will buy in order to fund projects once we go beyond that and we now have what we call a Jen credit it may not be a token in the traditional sense or a coin it's a credit that allows us to transact with the ledger that way we can know about these people one of the greatest opportunities that we feel that we have in the marketplace is identity and reputation you have a billion two people who don't have a connection what if we could learn about those billion too and understand how they use power and where they use power so Jen credits kind of off chain management that you're doing you write to the ledger for in term util access right for that Tran action I got to ask you about things like spoofing why can't I just take your energy this is where the tokens become interesting because I mean it should solve the spoofing problem well right and you know energy energy needs to be passed down copper it's got to go on a wire that doesn't mean somebody's not going to cut the wire and bootleg it and all that stuff smoothing is not going to be the problem in this case it is a physical connection that needs to be made our smart meters allow for us to turn on or off let that connection by the user right if he doesn't pay you don't forget it yeah you know there's vandalism they're stuffed all over the world and we have methods in place to try and mitigate that as much as possible you you saw our platform that we're building we're tokenizing our media business amazing you liked it was good thanks for the plug there I was an aspirin and we were talking last night about our you know generational gap between us and our kids and you have your son here and your son's working with you my sons Alex working with us we have a young team as well I want you to talk about someone who's so experienced in the business you've done a lot of variety adventures from you know film to entertainment technology us older veterans it's the polite way to say it have seen the movie before they've seen the waves this is a huge way but this wave is gonna be can surf a few of them hang ten on our boards but this wave is really gonna be powered and led by the younger generation what's your thoughts share your vision of the role that the younger generation has to take here and what makes them capable in your mind okay so I'm gonna answer that question two ways first of all I'm so enamored with what the younger generation is trying to do with this corruption let's change the existing paradigm and make something better that's what blockchain allows for all sorts of industries goods and services right it's gonna be amazing what these guys come up with that's one of the things I love about doing this thing right I'm an old guy and I get to hang around these young people makes me feel young again yeah but the other thing that we have and I think you share it as well as we have to offer to these young guys experience right it's not like we're gonna go out to a market that we don't know about and try and explore it for success you know I've been in the renewables business for ten years delivering projects to 35 countries I got my boots on the ground I got my hands dirty doing this for 10 years now and I think the other part of that building this project and making it successful is the team that we've put together behind it we have an advisor who advises presidents dr. Michael Dorsey that's really important that's valuable that he understands the global marketplace the way he does the other one is Vinay Gupta who has been in blockchain since the 90s and has always wanted to work in the developing world with a block came distributed ledger technology that's really important I think I want to just double down and we amplify that point this is not a young man's game only exclusively it's such this markets attracting alpha entrepreneurs older veterans because as you said earlier it disrupts every vertical that's right so experience and mentorship bringing people together that can help that's right celebrate the disruption that's right driven by the young guys cool I love that but it's not like Zuckerberg made this one comment oh if you're not under the age of 30 then you don't know such delivery he got his ass handed to him on that but in this case this market is open and willing to learn and the disruptions the mission that's right and this team matters that's our experience the makeup of your board makeup of your advisors since a roll for everybody look experiences capital right it is its own virtual currency having been in all these countries having worked with presidents having worked in the 90s you know since the 90s and what that is valuable it's intangible but it is valuable dan I think we just invented a new category in the ico category an advisor tokens [Laughter] cottage industry believe tokens anyway but imagine if you could actually measure an advisor yeah the quality of adviser and the roles that they play absolutely as a token that's coming up next in our our next I see oh hey I really appreciate what you're doing I love how you work with your son father-son team you recognize the role of how the generations can shift together love it love your mission thank you thanks for sharing the news coverage here in Puerto Rico been here on the island all week getting the best stories the best people sharing them with you were open content that's the cube doing our part here at coin agenda for one day we're not gonna be you tomorrow go to Vegas just came back from watching unbound great stuff John let me give you the the URL if you don't mind no problem please if you want to go learn more about us impact PPI calm great job impact PBA calm is the cube live coverage here in Puerto Rico more after this short break

>>The cube at IBM. Impact 2014 is brought to you by headline sponsor. IBM. Here are your hosts, John furrier and Paul Gillin. >>Hey, welcome back everyone. This is Silicon angle's the cube. It's our flagship program. We go out to the events district as soon from the noise. We're ending out day two of two days of wall to wall coverage with myself and Paul Galen. Uh, 10 to six 30 every day. I'm just, we'll take as much as we can just to get the data. Share that with you. Restrict the signal from the noise. I'm John furrier the bonus look at angle Miko is Paul Gilliam and our special guests, Holger Mueller, Mueller from constellation research analyst covering the space. Ray Wang was here earlier. You've been here for the duration. Um, we're going to break down the event. We'll do a wrap up here. Uh, we have huge impact event for 9,000 people. Uh, Paul, I want to go to you first and get your take on just the past two days. And we've got a lot of Kool-Aid injection attempts for Kool-Aid injection, but IBM people were very, very candid. I mean, I didn't find it, uh, very forceful at all from IBM. They're pragmatic. What's your thoughts on it? >>I think pragmatism is, is what I take away, John, if it gets a good, that's a good word for it. Uh, what I saw was a, uh, not a blockbuster. Uh, there was not a lot of, of, uh, of hype and overstatement about what the company was doing. I was impressed with Steve mills, but our interview with him yesterday, we asked about blockbuster acquisitions and he said basically, why, why, I mean, why should we take on a big acquisition that is going to create a headache, uh, for us in integrating into your organization? Let's focus on the spots where we have gaps and let's fill those. And that's really what they've, you know, they really have put their money where their mouth is and doing these 150 or more acquisitions over the last, uh, three or four years. Um, I think that the, the one question that I would have, I don't think there's any doubt about IBM's commitment to cloud as the future about their investment in big data analytics. They certainly have put their money where their mouth is. They're over $25 billion invested in big data analytics. One question I have coming out of this conference is about power and about the decision to exit the x86 market and really create confusion in a part of their business partners, their customers about about how they're going to fill that gap and where are they going to go for their actually needs and the power. Clearly power eight clearly is the future. It's the will fill that role in the IBM portfolio, but they've got to act fast. >>Do you think there's a ripple effect then so that that move I'll see cause a ripple effect in their ecosystem? >>Well, I was talking to a, I've talked to two IBM partners today, fairly large IBM partners and both of them have expressed that their customers are suffering some whiplash right now because all of a sudden the x86 option from IBM has gone away. And so it's frozen there. Their purchasing process and some of them are going to HP, some of them are looking at other providers. Um, I don't think IBM really has has told a coherent story to the markets yet about how >>and power's new. So they've got to prop that up. So you, so you're saying is okay, HP is going to get some new sales out of this, so frozen the for IBM and yet the power story's probably not clear. Is that what you're hearing? >>I don't think the power story is clear. I mean certainly it was news to me that IBM is taking on Intel at the, at this event and I was surprised that, that, >>that that was a surprise. Hold on, I've got to go to you because we've been sitting here the Cuban, we've been having all the execs come here and we've been getting briefed here in the cube. Shared that with the audience. You've been out on the ground, we've bumped into you guys, all, all the other analysts and all the briefings you've been in, the private sessions you've been in the rooms you've been, you've been, you've been out, out in the trenches there. What have you, what are you finding, what have you been hearing and what are the, some of the soundbites that you could share with the audience? It's not the classic God, Yemen, what are the differences? >>The Austin executives in cloud pedal, can you give me your body language? He had impact one year ago because they didn't have self layer at a time, didn't want to immediately actionable to do something involving what? A difference things. What in itself is fine, but I agree with what you said before is the messaging is they don't tell the customers, here's where we are right now. Take you by the hand. It's going to be from your door. And there's something called VMs. >>So it's very interesting. I mean I would consider IBM finalized the acquisition only last July. It's only been nine months since was acquired. Everything is software now. It leads me to think of who acquired who IBM acquired a software or did soflar actually acquire IBM because it seems to, SoftLayer is so strategic. IBM's cloud strategy going forward. >>Very strategic. I think it's probably why most transformative seemed like the Nexans agenda. And you've heard me say assault on a single thing. who makes it seven or eight weeks ago? It's moving very far. >>What do you think about the social business? Is that hanging together, that story? Hang on. It's obviously relevant direction. It's kind of a smarter planet positioning. Certainly businesses will be social. Are you seeing any meat on the bone there? On the collaboration side, >>one of the weakest parts, they have to be built again. Those again, they also have an additional for HR, which was this position, this stuff. It's definitely something which gives different change. >>I have to say, John, I was struck by the lack of discussion of social business in the opening keynote in particular a mobile mobile, big data. I mean that that came across very clear, but I've been accustomed to hearing that the social business rugby, they didn't, it didn't come out of this conference. >>Yeah. I mean my take on that was, is that >>I think it's pretty late. I don't think there's a lot of meat in the bone with the social, and I'll tell you why. I think it's like it's like the destination everyone wants to go to, but there's no really engine yet. Right. I think there's a lot of bicycle riding when they need a car. Right? So the infrastructure is just not is too embryonic, if you will. A lot of manual stuff going on. Even the analytics and you know you're seeing in the leaderboard here in the social media side and big data analytics. Certainly there are some core engine parts around IBM, but that social engine, I just don't see it happening. You risk requires a new kind of automation. It's got some real times, but I think that this is some, some nice bright spots. I love the streams. I love this zone's concept that we heard from Watson foundations. >>I think that is something that they need to pull out the war chest there and bring that front and center. I think the thinking about data as zones is really compelling and then I'll see mobile, they've got all the messaging on that and to give IBM to the benefit of the doubt. I mean they have a story now that they have a revenue generating story with cloud and with big data and social was never a revenue generating story. That's a software story. It's not big. It's not big dollars. And they've got something now that really they're really can drive. >>I'll tell you Chris Kristin from mobile first. She was very impressive and, and I'll tell you that social is being worked on. So I put the people are getting it. I mean IBM 100% gets social. I think the, the, it's not a gimmick to them. It's not like, Oh, we got some social media stuff. I think in the DNA of their soul, they, they come from that background of social. So I give them high marks on that. I just don't see the engine yet. I'm looking for analytics. I'm looking for a couple of eight cylinders. I just don't see it yet. You know, the engine, the engines, lupus and she wants to build the next generation of education. Big data, tons of mobile as the shoulder equivalent to social. I'm skeptical. I'm skeptical on Bloomix. I'll tell you why. I'm not skeptical. I shouldn't say that. >>It's going to get some plane mail for that. Okay. I'll say I'll see what's out there. I'll say it. I'm skeptical of Blumix because it could be a Wright brothers situation. Okay, look, I'm wrong guys building the wrong airplane. So the question is they might be on the wrong side of history if they don't watch the open source foundations because here's the problem. I have a blue mix, gets rushed to the market. Certainly IBM has got muscle solutions together. No doubt debting on cloud Foundry is really a risk and although people are pumping it up and it's got some momentum, they don't have a big community, they have a lot of marketing behind it and I know Jane's Wars over there is doing a great job and I'm Josh McKinsey over there with piston cloud. It'll behind it. It has all the elements of open collaboration and architecture or collaboration. However, if it's not a done deal yet in my mind, so that's a, that is a risk factor in my my mind. >>We've met a number of amazing, maybe you can help to do, to put these in order, a number of new concepts out there. We've got Bloomex the soft player, and we've got the marketplace, and these are all three concepts that approval, which is a subset of which, what's the hierarchy of these different platforms? >>That's hopefully, that's definitely at the bottom. The gives >>us visibility. You talk about the CIO and CSI all the time. Something you securities on every stupid LCO one on OCS and the marketplace. Basically naming the applications. Who would folded? IBM. IBM would have to meet opensource platform as a service. >>Well, it's not, even though it's not even open source and doing a deal with about foundries, so, so they've got, I think they're going in the middle. Where's their angle on that? But again, I like, again, the developer story's good, the people are solid. So I think it's not a fail of my, in my mind that all the messaging is great. But you know, we went to red hat summit, you know, they have a very active community, multiple generations in the data center, in the Indiana prize with Linux and, and open, you know, they're open, open shift is interesting. It's got traction and it's got legit traction. So that's one area. The other area I liked with Steve mills was he's very candid about this turf. They're staking out. Clearly the cloud game is up, is there is hardcore for them and in the IBM flavor enterprise cloud, they want to win the enterprise cloud. They clearly see Amazon, they see Amazon and its rhetoric and Grant's narrative and rhetoric against Amazon was interesting saying that there's more links on SoftLayer and Amazon. Now if you count links, then I think that number is skewed. So it's, you know, there's still a little bit of gamification going to have to dig into that. I didn't want to call him out on that, but know there's also a hosting business versus, you know, cloud parse the numbers. But what's your take on Amazon soft layer kind of comparison. >>It's, it's fundamentally different, right? Mustn't all shows everything. Why did see retailers moves is what to entirely use this software, gives them that visibility machine, this accommodation more conservatively knowing that I buy them, I can see that I can even go and physically touch that machine and I can only did the slowly into any cloud virtualization shed everything. >>Oh, Paul, I gotta say my favorite interview and I want to get your take on this. It was a Grady food. She was sat down with us and talk with us earlier today. IBM fell up, walks on water with an IBM Aussie legend in the computer industry. Just riveting conversation. I mean, it was really just getting started. I mean, it felt like we were like, you know, going into cruising altitude and then he just walked away. So they w what's your take on that conversation? >>Well, I mean, certainly he, uh, the gritty boujee interview, he gave us the best story of, of the two days, which is, uh, they're being in the hospital for open heart surgery, looking up, seeing the equipment, and it's going to be used to go into his chest and open his heart and knowing that he knows the people who program that, that equipment and they programmed it using a methodology that he invented. Uh, that, that, that's a remarkable story. But I think, uh, uh, the fact that that a great igloo can have a job at a company like IBM is a tribute to IBM. The fact that they can employ people like that who don't have a hard revenue responsibility. He's not a P. and. L, he's just, he's just a genius and he's a legend and he's an IBM to its crude, finds a place for people like that all throughout his organization. >>And that's why they never lost their soul in my opinion. You look at what HP and IBM, you know, IBM had a lot of reorganizations, a lot of pivots, so to speak, a lot of battleship that's turned this in way. But you know, for the most part they kept their R and D culture. >>But there's an interesting analogy too. Do you remember the case methodology was mutual support of them within the finance language that you mailed something because it was all about images, right? You would use this, this methodology, different vendors that were prior to the transport itself. Then I've yet to that credit, bring it together. bring and did a great service to all for software engineering. And maybe it's the same thing at the end, can play around diversity. >>You've got to give IBM process a great point. Earlier we, Steve mills made a similar reference around, it wasn't animosity, it was more of Hey, we've helped make Intel a big business, but the PC revolution, you know, where, what's in it for us? Right? You know, where's our, you know, help us out, throw us a bone. Or you know, you say you yell to Microsoft to go of course with the licensing fee with Gates, but this is the point, the unification story and with grays here, you know IBM has some real good cultural, you know industry Goodwill, you agree >>true North for IBM is the Antal quest customer. They'll do what's right where the money and the budget of the enterprise customers and press most want compatibility. They don't want to have staff, of course they want to have investment protection >>guys. I'd be able to do a good job of defining that as their cloud strategy that clearly are not going head to head with Amazon. It's a hybrid cloud strategy. They want to, they see the enterprise customers that legacy as as an asset and it's something they want to build on. Of course the risk of that is that Amazon right now is the pure play. It has all the momentum. It has all the buzz and and being tied to a legacy is not always the greatest thing in this industry, but from a practical revenue generating standpoint, it's pretty good. >>Hey guys, let's go down and wrap up here and get your final thoughts on the event. Um, and let's just go by the numbers, kind of the key things that IBM was promoting and then our kind of scorecard on kind of where they, where they kind of played out and new things that popped out of the woodwork that got your attention. You see the PO, the power systems thing was big on their messaging. Um, the big data story continues to be part of it. Blue mix central to the operations and the openness. You had a lot of open, open openness in their messaging and for the most part that's pretty much it. Um, well Watson, yeah, continue. Agents got up to Watson. >>Wow. A lot of news still to come out of Watson I think in many ways that is their, is their ACE in the hole and then that is their diamond. Any other thoughts? >>Well, what I missed is, which I think sets IBM apart from this vision, which is the idea of the API. Everybody else at that pure name stops the platform or says, I'm going to build like the org, I'm going to build you. That's a clear differentiator on the IBM side, which you still have to build part. They still have to figure out granularity surface that sets them apart that they have to give one. >>Yeah, and I think I give him an a plus on messaging. I think they're on all the right fault lines on the tectonic shifts that we're seeing. Everyone, I asked every every guest interview, what's the game changing moment? Why is it so important? And almost consistently the answers were, you know, we're living in a time of fast change data, you know, efficiency spare or you're going to be left behind. This is the confluence of all these trends, these fall lines. So I think IBM is sitting on these fall lines. Now the question is how fast can they cobbled together the tooling from the machineries that they have built over the years. Going back to the mainframe anniversary, it's out there. A lot of acquisitions, but, but so far the story and the story >>take the customer by the hand. That's the main challenge. I see. This wasn't often we do in Mexico, they want zero due to two times or they're chilling their conferences. It's the customer event and you know, and it's 9,000 people somehow have to do something to just show, right? So why is my wave from like distinguished so forth and so and so into? Well Lou mentioned, sure for the cloud, but how do we get there, right? What can we use, what am I SS and leverage? How do I call >>guys, really appreciate the commentary. Uh, this is going to be a wrap for us when just do a shout out to Matt, Greg and Patrick here doing a great job with the production here in the cube team and we have another cube team actually doing a simultaneous cube up in San Francisco service. Now you guys have done a great job here. And also shout out to Bert Latta Moore who's been doing a great job of live tweeting and help moderate the proud show, which was really a huge success and a great crowd chat this time. Hopefully we'll get some more influencers thought leaders in there for the next event and of course want to thank Paul Gillen for being an amazing cohost on this trip. Uh, I thought the questions and the and the cadence was fantastic. The guests were happy and hold there. Thank you for coming in on our wrap up. >>Really appreciate it. Constellation research. Uh, this is the cube. We are wrapping it up here at the IBM impact event here live in Las Vegas. It's the cube John furrier with Paul Gillen saying goodbye and see it. Our next event and stay tuned if it's look at angel dot DV cause we have continuous coverage of service now and tomorrow we will be broadcasting and commentating on the Facebook developer conference in San Francisco. We're running here, Mark Zuckerberg and all Facebook's developers and all their developer programs rolling out. So watch SiliconANGLE TV for that as well. Again, the cube is growing with thanks to you watching and thanks to all of our friends in the industry. Thanks for watching..