>> Live from Boston, it's theCUBE! Covering IBM Chief Data Officer Summit, brought to you by IBM. >> Welcome back everyone to the IBM CDO Summit and theCUBE's live coverage, I'm your host Rebecca Knight along with my co-host Paul Gillin. We have Joe Selle joining us. He is the Cognitive Solution Lead at IBM. And Thomas Ward, Supply Chain Cloud Strategist at IBM. Thank you so much for coming on the show! >> Thank you! >> Our pleasure. >> Pleasure to be here. >> So, Tom, I want to start with you. You are the author of Risk Insights. Tell our viewers a little bit about Risk Insights. >> So Risk Insights is a AI application. We've been working on it for a couple years. What's really neat about it, it's the coolest project I've ever worked on. And it really gets a massive amount of data from the weather company, so we're one of the biggest consumers of data from the weather company. We take that and we'd visualize who's at risk from things like hurricanes, earthquakes, things like IBM sites and locations or suppliers. And we basically notify them in advance when those events are going to impact them and it ties to both our data center operations activity as well as our supply chain operations. >> So you reduce your risk, your supply chain risk, by being able to proactively detect potential outages. >> Yeah, exactly. So we know in some cases two or three days in advance who's in harm's way and we're already looking up and trying to mitigate those risks if we need to, it's going to be a real serious event. So Hurricane Michael, Hurricane Florence, we were right on top of it and said we got to worry about these suppliers, these data center locations, and we're already working on that in advance. >> That's very cool. So, I mean, how are clients and customers, there's got to be, as you said, it's the coolest project you've ever worked on? >> Yeah. So right now, we use it within IBM right? And we use it to monitor some of IBM's client locations, and in the future we're actually, there was something called the Call for Code that happened recently within IBM, this project was a semifinalist for that. So we're now working with some non-profit groups to see how they could also avail of it, looking at things like hospitals and airports and those types of things as well. >> What other AI projects are you running? >> Go ahead. >> I can answer that one. I just wanted to say one thing about Risk Insights, which didn't come out from Tom's description, which is that one of the other really neat things about it is that it provides alerts, smart alerts out to supply chain planners. And the alert will go to a supply chain planner if there's an intersection of a supplier of IBM and a path of a hurricane. If the hurricane is vectored to go over that supplier, the supply chain planner that is responsible for those parts will get some forewarning to either start to look for another supplier, or make some contingency plans. And the other nice thing about it is that it launches what we call a Resolution Room. And the Resolution Room is a virtual meeting place where people all over the globe who are somehow impacted by this event can collaborate, share documents, and have a persistent place to resolve this issue. And then, after that's all done, we capture all the data from that issue and the resolution and we put that into a body of knowledge, and we mine that knowledge for a playbook the next time a similar event comes along. So it's a full-- >> It becomes machine learning. >> It's a machine learning-- >> Sort of data source. >> It's a full soup to nuts solution that gets smarter over time. >> So you should be able to measure benefits, you should have measurable benefits by now, right? What are you seeing, fewer disruptions? >> Yes, so in Risk Insights, we know that out of a thousand of events that occurred, there were 25 in the last year that were really the ones we needed to identify and mitigate against. And out of those we know there have been circumstances where, in the past IBM's had millions of dollars of losses. By being more proactive, we're really minimizing that amount. >> That's incredible. So you were going to talk about other kinds of AI that you run. >> Right, so Tom gave an overview of Risk Insights, and we tied it to supply chain and to monitoring the uptime of our customer data centers and things like that. But our portfolio of AI is quite broad. It really covers most of the middle and back and front office functions of IBM. So we have things in the sales domain, the finance domain, the HR domain, you name it. One of the ones that's particularly interesting to me of late is in the finance domain, monitoring accounts receivable and DSO, day sales outstanding. So a company like IBM, with multiple billions of dollars of revenue, to make a change of even one day of day sales outstanding, provides gigantic benefit to the bottom line. So we have been integrating disparate databases across the business units and geographies of IBM, pulling that customer and accounts receivable data into one place, where our CFO can look at an integrated approach towards our accounts receivable and we know where the problems are, and we're going to use AI and other advanced analytic techniques to determine what's the best treatment for that AI, for those customers who are at risk because of our predictive models, of not making their payments on time or some sort of financial risk. So we can integrate a lot of external unstructured data with our own structured data around customers, around accounts, and pull together a story around AR that we've never been able to pull before. That's very impactful. >> So speaking of unstructured data, I understand that data lakes are part of your AI platform. How so? >> For example, for Risk Insights, we're monitoring hundreds of trusted news sources at any given time. So we know, not just where the event is, what locations are at risk, but also what's being reported about it. We monitor Twitter reports about it, we monitor trusted news sources like CNN or MSNBC, or on a global basis, so it gives our risk analyst not just a view of where the event is, where it's located, but also what's being said, how severe it is, how big are those tidal waves, how big was the storm surge, how many people were affected. By applying some of the machine learning insights to these, now we can say, well if there are couple hundred thousand people without power then it's very likely there is going to be multimillions of dollars of impact as a result. So we're now able to correlate those news reports with the magnitude of impact and potential financial impact to the businesses that we're supporting. >> So the idea being that IBM is saying, look what we've done for our own business (laughs), imagine what we could do for you. As Inderpal has said, it's really using IBM as its own test case and trying to figure this all out and learning as it goes and he said, we're going to make some mistakes, we've already made some mistakes but we're figuring it out so you don't have to make those mistakes. >> Yeah that's right. I mean, if you think about the long history of this, we've been investing in AI, really, since, depending on how you look at it, since the days of the 90's, when we were doing Deep Blue and we were trying to beat Garry Kasparov at chess. Then we did another big huge push on the Jeopardy program, where we we innovated around natural language understanding and speed and scale of processing and probability correctness of answers. And then we kind of carry that right through to the current day where we're now proliferating AI across all of the functions of IBM. And there, then, connecting to your comment, Inderpal's comment this morning was around let's just use all of that for the benefit of other companies. It's not always an exact fit, it's never an exact fit, but there are a lot of pieces that can be replicated and borrowed, either people, process or technology, from our experience, that would help to accelerate other companies down the same path. >> One of the questions around AI though is, can you trust it? The insights that it derives, are they trustworthy? >> I'll give a quick answer to that, and then Tom, it's probably something you want to chime in on. There's a lot of danger in AI, and it needs to be monitored closely. There's bias that can creep into the datasets because the datasets are being enhanced with cognitive techniques. There's bias that can creep into the algorithms and any kind of learning model can start to spin on its own axis and go in its own direction and if you're not watching and monitoring and auditing, then it could be starting to deliver you crazy answers. Then the other part is, you need to build the trust of the users, because who wants to take an answer that's coming out of a black box? We've launched several AI projects where the answer just comes out naked, if you will, just sitting right there and there's no context around it and the users never like that. So we've understood now that you have to put the context, the underlying calculations, and the assessment of our own probability of being correct in there. So those are some of the things you can do to get over that. But Tom, do you have anything to add to that? >> I'll just give an example. When we were early in analyzing Twitter tweets about a major storm, what we've read about was, oh, some celebrity's dog was in danger, like uh. (Rebecca laughs) This isn't very helpful insight. >> I'm going to guess, I probably know the celebrity's dog that was in danger. (laughs) >> (laughs) actually stop saying that. So we learned how to filter those things out and say what are the meaningful keywords that we need to extract from and really then can draw conclusions from. >> So is Kardashian a meaningful word, (all laughing) I guess that's the question. >> Trending! (all laughing) >> Trending now! >> I want to follow up on that because as an AI developer, what responsibility do developers have to show their work, to document how their models have worked? >> Yes, so all of our information that we provided the users all draws back to, here's the original source, here's where the information was taken from so we can draw back on that. And that's an important part of having a cognitive data, cognitive enterprise data platform where all this information is stored 'cause then we can refer to that and go deeper as well and we can analyze it further after the fact, right? You can't always respond in the moment, but once you have those records, that's how you can learn from it for the next time around. >> I understand that building test models in some cases, particularly in deep learning is very difficult to build reliable test models. Is that true, and what progress is being made there? >> In our case, we're into the machine learning dimension yet, we're not all the way into deep learning in the project that I'm involved with right now. But one reason we're not there is 'cause you need to have huge, huge, vast amounts of robust data and that trusted dataset from which to work. So we aspire towards and we're heading towards deep learning. We're not quite there yet, but we've started with machine learning insights and we'll progress from there. >> And one of the interesting things about this AI movement overall is that it's filled with very energetic people that's kind of a hacker mindset to the whole thing. So people are grabbing and running with code, they're using a lot of open source, there's a lot of integration of the black box from here, from there in the other place, which all adds to the risk of the output. So that comes back to the original point which is that you have to monitor, you have to make sure that you're comfortable with it. You can't just let it run on its own course without really testing it to see whether you agree with the output. >> So what other best practices, there's the monitoring, but at the same time you do that hacker culture, that's not all bad. You want people who are energized by it and you are trying new things and experimenting. So how do you make sure you let them have, sort of enough rein but not free rein? >> I would say, what comes to mind is, start with the business problem that's a real problem. Don't make this an experimental data thing. Start with the business problem. Develop a POC, a proof of concept. Small, and here's where the hackers come in. They're going to help you get it up and running in six weeks as opposed to six months. And then once you're at the end of that six-week period, maybe you design one more six-week iteration and then you know enough to start scaling it and you scale it big so you've harnessed the hackers, the energy, the speed, but you're also testing, making sure that it's accurate and then you're scaling it. >> Excellent. Well thank you Tom and Joe, I really appreciate it. It's great to have you on the show. >> Thank you! >> Thank you, Rebecca, for the spot. >> I'm Rebecca Knight for Paul Gillin, we will have more from the IBM CDO summit just after this. (light music)

>> Live from Bellevue, Washington, it's theCUBE, covering Smartsheet ENGAGE'18. Brought to you by Smartsheet. >> Welcome back to theCUBE's continuing coverage of Smartsheet ENGAGE 2018. I am Lisa Martin, sitting here in Bellevue, Washington with a couple of Smart Sheeters. Next to me is Ben Canning, the VP of Product Management. >> Hey Ben. >> Hey. >> And Ignacio Martinez, the VP of Security, Risk and Compliance. Guys, thank you so much for carving out time in a very packed event agenda to come and chat with us on theCUBE. >> Happy to be here. >> Happy to be here. >> So, this is a really interesting event, couple of things that really stood out to me, this morning in the key note, as I was telling you, we cover a lot of events here on theCUBE, of all sizes, and it was really interesting how your CEO Mark Mader, who was on the program earlier this morning, went out into the audience and talked about ENGAGED in action. I thought that was fantastic. And asked customers, randomly, three customers I think, how are you being empowered by Smartsheet? And how these customers were able to get up and articulately talk about the value that Smartsheet is delivering to their business. I thought that customer connection was really quite memorable. And then additionally, product management, when Jean Thoreau came out, and to a round of applause, a number of times, during announcements of the enhancements and features and what that really. >> Multi assign too. >> Yes, what that really, sort of, said to me, is you guys deliver software that is a facilitator of collaboration that is essential to drive businesses, digital transformation, et cetera, but you're collaborating with them because clearly they were very happy to hear about a number of these announcements today. >> Yeah we have very, very passionate customers and it's one of the great things about working here and working with these customers. We're super focused on what do those customers need and how do we enable them to get those things done. We don't typically get imposed from the top down by IT. You're using Smartsheet because you chose to use it. It's the thing that makes your life easier. And we never forget that and we never forget that we need to keep that close connection with our customers and I think you see it here, at the conference today. >> You do, you got 50 customers plus speaking in breakout sessions, which for an event that's got about 2000 people, it's huge percentage. >> Yeah. >> Some great announcements. Before we get into some of the risk and compliance stuff Ignacio, Ben walk us through maybe a high level of some of the key enhancements that were announced this morning. >> Well, so we talked about a lot of things today. I think we had over 23 total announcements. Things from the range of multiple, being able to sign multiple people in the grid, to Dynamic View, which we're incredibly excited about, that allows you to have custom views on a sheet and control who gets access to which view. Really opens up tremendous new possibilities for Smartsheet. Some of the things that I get super excited about, I work a lot in the platform and administrative space. We've announced a number of things this week that are all about helping IT administrators and system admins, manage Smartsheet much more effectively when it gets to large scale. And I'll highlight a couple of them. One is the directory integration capability that we've done. We hear a lot from our customers that managing individual Smartsheet users gets kind of hard once you get over a number and I want to be able to see all the people in my organization and be able to share with them and assign tasks with them, even if they're not yet Smartsheet users. So what we announced today was a way to integrate active directory with Smartsheet so that the company directory of all the users in the company is automatically synchronized into Smartsheet so that those users can be, you can assign things to them, you can @ mention them, they'll show up in the grid with their faces and all their departmental information. It makes it much easier to manage users inside your organization. So when 100 people join the team, they automatically show up in Smartsheet. When someone leaves the organization, they get de-provisioned. And it makes it much easier to collaborate with folks throughout your organization than it ever has been before. So we're really excited to announce that as a product for our enterprise customers, starting a little bit later this year. >> Excellent. You've got customers, I was reading, doing my prep for the show, over 75,000 customers in 190 countries, of all industries. >> Yes. And I imagine, some of the things that we've heard guys from your customers on the program today that they're really benefiting from are the visibility, the configurability of the technology, the ability to have accountability, to not only improve workforce productivity, but to be able to eliminate duplicate tasks, give project owners and initiative owners full visibility, whereas they did not have that full visibility before. Ignacio, another big announcement that came out today, was what you guys are doing in the federal space. So tell us a little bit about FedRAMP, what that is and how you are working with them. >> Sure so without boring you to death on FedRAMP, I'll give you a quick overview. FedRAMP is a requirement of the federal government. It's a program developed by the government to essentially certify or authorize cloud service providers like Smartsheet to be meeting a certain security level of compliance, to be deployed in the federal agency space. So the federal government, every agency, is required to abide by it. So they should be selecting providers that have gone through FedRAMP authorization. So it is essentially security compliance program that companies voluntarily put themselves through to enable themselves to do work in the federal space. And very happy to announce, this morning, that we were not only announcing our intent to develop a program and a product to enter the federal space, to have been selected by the FedRAMP program to go through what they call FedRAMP Connect. That's an accelerated process where the FedRAMP office selects cloud service providers that they feel, based on application, have a high level of demand in the federal agency space. So they select those providers and work very closely with us to go through that compliance exercise and get authorized to be FedRAMP authorized in the FedRAMP program. So the reason the government does that is they have a strong desire to get products like Smartsheet deployed quickly among the federal agencies, because those people, think of them as an enterprise, they want all those great features that Ben talked about that we bring to enterprises in the public sector, they want them in the government agency sector as well. So we are very pleased that we were selected to go through this program and get a product to the market place in the federal space to help them improve how they work as well. >> So this isn't an entry into federal, 'cause Smartsheet has great presence and traction in federal, NASA, the National Institutes of Health and Veterans Administration. I also saw from your website, you've got customers using Smartsheet in city governments and state governments but this FedRAMP Connect Program, you mentioned it as an accelerator, but I think I heard you say that this was from demand from users, so this is that validation coming from the best place it can, right? >> Yeah it's essentially demand in the federal market place. So we're going to go through on an accelerated basis and what that does, you're right, we are currently deployed in a large number of federal agencies, state and local government, but in those cases, we'll get deployed on a limited basis, because we don't have FedRAMP authorization and they will be careful about where we're deployed. Achieving FedRAMP authorizations gives those federal government agency CIOs and CISOs the ability to say, Smartsheet can be deployed agency wide because it's now authorized under the FedRAMP Program. >> So let's talk about that from a product, maybe innovation standpoint. One of the things that's very clear from today, is how collaborative Smartsheet is with its customers and how influential they are in product innovation. From a federal perspective, you mentioned, Ignacio, that a lot of times they have the same requirements as enterprises and other organizations in the private sector, but how are you guys working together? Are there tweaks and enhancements that you need to make to the technology as part of the FedRAMP Connect Program? >> Yeah for sure. So one of the, FedRAMP institutes a very strict regime of compliance, audit, security controls, onto the product. And it ensures that we're really operating at the highest level of rigor and delivering a service that is highly reliable, highly scalable, fully audited and secure. So that requires us to invest in all of those areas. And the nice thing about FedRAMP, for even the non-federal customers, is that we make those investments consistently across the service. So while FedRAMP is an isolated instance of Smartsheet, all of Smartsheet can take advantage of the practices and procedures. We don't want to have to do things two different ways for two different parts of the service, so we impose a lot of those same practices and procedures and hardening of the service, across the board. And so that helps us to meet our promise to our customers that are not federal customers, that we're delivering a true enterprise grade fully scaled and reliable solution that they can depend on. >> And the flip side is true. Everything that Ben's team is working on, as you said, the customers cheer when we announce something, it was on our roadmap because they wanted it. So our federal customers, they would want and desire the same things that Ben's team has been developing, automation, any of those tools, because they want to work efficiently and effectively and collaborate the same way all of the private sectors do. >> Exactly. >> Yeah that's right. I mean you saw that this morning, in the keynote, right, where we heard from the North Carolina Department of Transportation. This is a federal agency that's using the power of Smartsheet to build a solution in mere days, rather than having to outsource it or wait for a large scale IT spend and RFP and all of those things. We're empowering these agencies to build solutions. The people on the ground are able to put together a solution that is really saving people's lives. >> That, exactly, Hurricane Florence that just hit, that's a life and death situation. >> Yeah and it was breathtaking and sort of moment of pride to see how quickly they were able to put that together and that's the power of Smartsheet. So we're really excited to bring that to the rest of the federal government. We see a tremendous amount of desire from them for that. >> So Ignacio, in terms of the FedRAMP Connect Program, you mentioned it's going to allow an acceleration of this process. What would it normally take if you weren't part of this Connect Program? I'm just curious how much advantage you'll get but you'll be able to pass through to your federal and non-federal customers. >> Yeah so very good point, good question. The statistics you often see thrown around about companies, cloud service providers, that want to get a product into the FedRAMP authorization space, is they'll spend on average a couple years, two years, and a million plus dollars. So it's not a small task to get FedRAMP authorized. Being part of that FedRAMP Connect accelerated program, we're working with what's called the JAB, the Joint Advisory Board, so the top three CIOs of the FedRAMP Program, they work along side us if we're wiling to invest the time and the dollars to take our product through to do it on this accelerated basis. So it is literally a joint effort, hand in hand, working with the FedRAMP office, the auditors we use for it, and our people to demonstrate that we've got the enterprise great security and that we can meet the ongoing monitoring submissions that have to be done. >> So the cost avoidance of a million dollars from two years, what are you expecting? And if you can't share that, that's okay, I'm just curious, is it going to be six months, a year? >> Well if you look at the FedRAMP Connect Program, on average, it runs approximately six months. So it's back and forth. It's a three way collaboration between the cloud service provider, the FedRAMP office and the auditors, but that program, their goal is to get it into approximately a six month timeline. So we were announced last week, so I think we said, our goal is to work with them on that timeline and early in calendar year 2019, is the timeline end that we all have on our radar. >> That's like Back to the Future acceleration, no wonder you're excited about that. >> We are and we're going to try to go faster than that, if we can manage it on the product side, but we'll see how quickly it goes. >> Well that's one of the things, that not only is that validation from the users within the federal government that they want this. But Ben, as you were saying we're not developing things in isolation or certain features for this market and this market can't use it, this is all going to be accelerating, I imagine, what Smartsheet is innovating to deliver to all segments globally. >> Yeah I think that's right. We see an increasing need for manageability and security capabilities within the platform. And our customers are asking for this across the board. Great example, another feature we announced today, is what we call the event monitoring service. So enterprise IT wants to understand who is doing what on the system. They want to be able to impose business rules, make sure that highly confidential information isn't being shared inappropriately. So we've invested in a system that we announced today that basically keeps track of all events that happen within the system, anything that's shared, new documents that are created and so forth, and gives the IT administrator a way to track that feed and make business decisions on the basis of it. Integrating with other CASB Solutions to drive business rules. So for example, we have customers that are using this system today to keep track of all of the attachments that are being added into their environment. When they see an attachment being added, they're able to go and look at that attachment and make sure that if it's a highly confidential thing, and that it's shared with an inappropriate set of folks, then they can take business action automatically to manage that environment. And that's the kind of security and audit control that enterprises need in order to feel comfortable deploying Smartsheet at wide scale. So we're very excited to be able to offer that to those enterprise administrators and help them foster Smartsheet adoption in the company. >> So some of the things that we've talked about today are this is technology that was designed for the business user, I've used it. I think I read a quote from Mark Mader that may have been from the press release for the IPO a few months ago, that said, in the beginning in the early days, 12 years ago, there were critics that said, why are you guys building this on a spreadsheet construct, and his answer and Smartsheet's answer, at a very small company, at that time, was 500 million people are familiar with this, so building something for business users, lines of business, finance, IT, sales, for example, tools that I as a marketing person don't need to be an IT expert. I don't need to even know what an API is or what it stands for, right. But you're also now, as you were saying, some of the new enhancements to facilitate IT, so what's that, kind of, yin and yang with designing a tool that is for the average user and ensuring that the IT folks who weren't probably involved in the first place, are able to manage this successfully? >> Yeah well it's definitely a balance that we have to maintain. We can never lose sight of the fact that the end user is at the center of what we do. And that we have to design for solutions that end users can implement themselves and that's at the heart of what Smartsheet does. At the same time, we look at IT administrators as partners. We know that the users love what the product does. They're desperate for it. And in general, I find that IT administrators are not trying to get in the way of what their users want. They want to be the hero and they want to be able to say, yes. So part of my job is to make sure that I give them the tools to enable them to get to a yes. That I can show them that we are secure enough, reliable enough and scalable enough, that we meet their strategic enterprise needs, that we integrate with the other systems that they have so that they're not building an island that they're going to have to deal with and doesn't connect with the rest of their estate and that they've got the tools to manage at scale, so that I'm not asking them to go one by one adding a thousand users, that's just not nice and fair. So I think we keep the end user, the business user, at the center and we look at IT as a partner and we try to find ways to help them get to yes with the product. And I don't think those two things are really in conflict. >> It's interesting, dealing with CIOs of our customers, they'll tell you, it's very strange, and it goes back to what you said earlier, value. So CIOs are tasked with delivering the most value for their organization, doing more for less, efficiently. And that often means selection of tools that then they have to go and force into an organization and deal with users that might be less than happy. I've had CIOs tell me on the phone, I have people putting together petitions to make Smartsheet the tool that we use across the organization. And so he said, that makes my life easy. I just need to work with you guys to make sure you've got the security, you've got all the tools I need as a CIO to protect the enterprise, but I don't have to worry about user acceptance. That's unique spot and we love it when the CIOs say, this makes my life easier with everything we're doing with Smartsheet. >> Oh that's music to your ears. >> Yeah it totally is. I mean, I met with a tech CIO recently as part of our enlist, talking to him about, oh well are you going to come to ENGAGE? And oh well you know, we're busy and we don't have a thing, and I said, oh you know actually there's eight people from your company, business users that are attending. >> Nice. That are attending the conference on their own dime and you can see the light bulb go off in his eyes and he's like, okay if eight people from our business groups are paying their own money to go to a tech conference, that's something I need to be paying attention to. How can you help me get my arms wrapped around this and help our users so it's a nice position to be in. >> It absolutely is. Well congratulations on being in the FedRAMP Connect Program and we're excited to hear next year all the great things coming out of that. And Ben, Ignacio, thanks so much for stopping by. >> Thanks for having us. >> It's busier than ensuring with us what's going on from your perspectives. >> Thanks a lot, thanks for having us. >> We want to thank you for watching theCUBE. I'm Lisa Martin live from Smartsheet ENGAGED, 2018 in Bellevue, Washington. Stick around. I'll be right back with Jeff Frick and our next guest.

>> Live, from Bellevue, Washington, it's theCUBE. Covering Smartsheet Engage 18. Brought to you by Smartsheet. >> Welcome back to theCUBE's continuing coverage of Smartsheet Engage 2018, I am Lisa Martin with Jeff Frick in Bellevue, Washington, our first time here. Second annual Smartsheet Engage and we're very please to be joined, welcoming back to theCUBE, Mark Mader, the CEO of Smartsheet. Mark, it's great to have you on the program. >> Thank you, good to be with you. >> Great job on the keynote. >> Thank you, appreciate it. >> So, you can see the buzz behind us, we just got out of the keynote, where, you guys kicked it up, there was a coupla things Jeff and I were talking about that were unique, that I haven't seen very much of at all, in all the keynotes that we go to. One, you started off with an explorer who had a very empowering, enlightening message, all about communication. And then, something that you did that I thought was really cool, that I don't think I've ever seen, is you actually, during your keynote, went into the audience, where you have about 2000 customers here, representing 1100 companies, across 20 countries, and just ad-libbed, hey guys, tell me about your company, how is Smartsheet empowering you, and as you said, that was all natural. >> I think part of it making it real for somebody, is giving you somebody that's relatable. So, we started off the conversation, as you said, with Ed Viesturs, arguably the most famous accomplished climber in the world, today, and he talked about the importance of communication and preparation, and teamwork, and clear decision making, in a context that was spectacularly visual, right, this mountain and those climbing shots, so, people relate to that, and then when you introduces those conducts in the business setting, it's like, oh, yeah, this applies to me, it applies to all of us. So, the notion of getting into the crowd, in a non-rehearsed way, is to really get people comfortable with, hey, I can share something, I can share an experience, and there's no one right answer, it's my experience. >> And that's why you're here, as you said in your keynote, and we know this as well, if companies aren't designing technology for the users, what's the point? >> Yeah, you're right and, one of the things I tried to highlight was, when you say for the user, it's not just for the user, the end user, like developed by a few people, spread to everybody, but it's empowering each and every person to say, hey I want to do something more transformational. I want to manage, automate, scale it, I don't want to be given that solution by someone, I want to do it. And there are hundreds of millions of people, who have the appetite and the interest, and the need for it. So, that's what we're trying to sell into. >> You know, Mark, we got to, so many shows, right, and everyone's chasing innovation. How do we get more innovative? Especially big companies, right? And you did show two really interesting messages, one, was your kind of core message, empowering everyone to improve, how they work, so, like you said, not just the top level decision makers, not down in the developer weave, but everybody up and down this stack. And then you shared a statement covey quote, really talking about how do people, keep 'em engaged and the way people are engaged is that they feel they're empowered to do something for their clients and their customers. So it's such an importannt piece and I think it's easy to talk about, harder to execute, but what is the answer to innovation? Giving more people the data, the tools and the power to take all that and do something for their customers, and thereby unlock all this tremendous value that you already have in your four doors. >> Absolutely, and I think the point of unlocking, so we have, you have 100% of your workforce. If you empower only 4.3% of them, for instance, the developers in your group, you're leaving so much opportunity on the table. And again, you don't get that unlock or that innovative spirit by just using something. You have to live with it, you have to work with it, you have to wrestle with it, And through that, innovation occurs. Ideas get generated. So, if you can get that ideation happening at the midpoint of your company, not the top 5%, huge opportunity. >> I think you were even quoted in the press release, maybe around the IPO that happened a few months ago, congratulations, >> Thank you. >> In saying that, maybe naysayers in the beginning, when you were a company of six, as you were talking about in your keynote, people thought, you're going to build this on a spreadsheet construct? And you said, but four hundred to five hundred million people know that construct. >> Right, right So you're going into an audience if knowledge workers, of which there's a massive percentage, designing something for lines of business, IT, finance, marketing, sales, who actually need to work with that, we're not talking about API's and developer and code speak, you're building this for a very large percentage of the population. >> We are, and I think when we talk about serving a large population, it's tempting to say, well, they can't handle much, let's go with the most common denominator. Let's give them something super, super simple. The problem is, with simple, you don't always get value. So how do you combine relevance and comfort and understanding, with capability. And the product's changed a lot since the early days, it's no longer just a grid, we have dashboards, we have forms, we have card view, we have all these elements that are now being brought forward, but one thing that we've always respected from the beginning is, don't throw away what somebody understands, and is comfortable with. That doesn't necessarily mean that it's the best, but they know it. And people are very nervous about just jettisoning the things they know, so like, embrace it. And then, what we had talked about earlier, was, how do you really listen to that customer's signal, and say okay, I'm comfortable, I like this, but I want more. And that ability to respond to that request, I think has really helped define who Smartsheet is today. You know, 12 years later. >> The other piece you talked on is kind of sideways off of that, is people have systems already in place, they have tools that they use every day. Right, there's this competition for the top layer of the desktop, but the reality is that we have many, many applications that we have to interact with every day. You guys are really taking a coopation approach with all these existing, >> Absolutely >> where it fits, where it's working, to your point, they're already using it and make it work. Integrate with. Don't try to rip and replace all these other systems that're in there. >> Yeah, and I think, you know you come across so many people in life, who want everything. I need total, complete, presence. And you're really discounting what people appreciate. And I think when you take the view of, I'm going to listen to my client, I'm going to listen to what they love and understand, and I'm going to let them articulate how they want it to work, we are in a very diverse, multi-app world today. If you actually march in somewhere and say, yeah all those decisions you made, those were the wrong decisions, you should trust me on everything, you'll be walked out of the building in about 4.2 seconds. So, we're really living that philosophy, and I think in great partnerships with Google, Microsoft and Slack, and Tableau, and others, we're actually able to demonstrate that. >> Yeah, and then to take it from the concept to reality, a great demo, I'm sure you didn't have this planned a couple of weeks ago, was, you talked about the state of North Carolina, and the preparation and the response to Hurricane Florence, and that they were very quickly able to build a super informative dashboard, to let everybody know who needed to know, what they needed to know. >> Correct. >> And how long did that take to put together? Amazing. >> That was under 24 hours. >> 24 hours? >> And the difference here is the difference between building or developing something, and configuring something. So, the difference there is when you actually build something from scratch, we have bare dirt, we need to put a foundation, we need to build a house, we need to shingle it, we need to insulate, that takes you a long time. So how about, we go to a house that exists, let's change the colors of the blinds, let's put in a certain sofa, let's furnish it. And the configuration element, versus construction, that gives people velocity. Now, what they also want is, they want to actually put their own texture to it, they want to make it their own, so the Department of Transportation dashboard that they produced for FEMA and the Coast Guard and the state governor's office, it didn't look like anybody else's dashboard. It was tailored, but it was so quick to build. And the great thing there was, so many people who accessed that site for information on on runway status and power and fuel, they could focus on the citizens as opposed to what the heck is going on, on the ground. >> Right. >> That provides a lot of purpose to our team, when we see our product used that way. >> You talked about speed just a minute ago, and speed, obviously, every enterprise of whatever size, needs to move and quite a bit quickly, to gain competitive advantage, to increase revenues, et cetera, you guys have some really very eye-catching statistics. That you're enabling customers to achieve. I read, enabling an average business leader to save 300 hours a year, 60,000 hours a year saved across on average organization. That's a big impact. How is speed a factor there? >> Yeah, I think speed I look at in a couple dimensions, One is, is it time saved, but there's also an element which is speed of experimentation So we go into an initiative, we say we have this amazing idea and we're going to have all these returns, we think. (chuckling) Well, not all the bets you place actually makes it. Or actually yields, so if you can empower a team to more quickly experiment, configure, try things, see what works and then double down behind those, if you can run five times as many plays as your competitor, you have five times as many chances to find that next winner. And so when we talk about speed, it's again, velocity of decision making, saving time, but also, organizationally, how can you unlock those possibilities? >> Part of that also is enabling cultural change. Which is not easy, it's essential for digital transformation, we talk about that at every event, and it's true, but how do you put that in action? You and I were chatting off camera about one of your customers that is an 125 year old oil and gas company. How do you enable them to kind of absorb and digest a culture of experimentation so that they can really move their business forward as quickly as they need to? >> Well, I think there's a great quote that one of my mentors early gave me. And it was, "All hat, no cattle." And the "All hat, no cattle" refers to the person who talks about how big their ranch is and how big their... Where's your herd? So you can talk a lot, but you have to demonstrate it. So when they go in, and there was another gentleman who talked about this idea of transforming their implementations across 300 project managers, and the quote was, we're going to get you up and running in two to three weeks, and he goes, "Never. No chance." Now, he ended up working with us, and we proved it to him and when you get a win like that, and you can demonstrate speed and impact, those things carry a lot of weight in organizations, but you have to show evidence. And when you talk about why we're landing and expanding in some of the world's largest brands, it's not because we're just talkin' a big game, it's because you're able to demonstrate those wins, and those lead to further growth. >> Right. And then you topped it off with a bit about the catalysts. But even more, I liked the concept of the point guard. Good point guards make everybody else on the team better. They do a little bit on their own, they hit a couple key shots, but they make everybody else better. And you're seeing that in terms of the expansion, and just in the way your go to market is, you don't come in usually as a big enterprise sale, I don't think, you come in small, you come in a group level, and then let the catalyst let those point guards, built successful in their own team, and then branch it out to a broader audience. >> Yeah, and I'm a big believer, and I don't think people can be classified into catalysts and non-catalysts. That's a very sort of blunt force approach. I view it as, you've catalysts, you've catalysts that haven't been unlocked, and then you have people that aren't catalysts. But very often that point guard, is going to activate the power forward, the center and holy smokes, where did that come from? And what we see is, when we see this growth happening in companies, those players around that point guard, get lit, get sparked, and once they're sparked, it's on. And then we see that growth happen for a long, long time. >> We saw some of that quotes, quotes >> We did. (all speaking at once) >> Queen of the world? >> Queen of the world. That's a big statement. >> That's empowerment, right there. >> It is empowerment. >> And the one where, I tweeted this, one of the quotes, I won't share this product name, but it can actually seem smart, she can help reduce work place anxiety. >> Anxiety! >> Which everybody needs. So, it's been six months since the IPO, you have doubled your attendance in your second year only, at Engage, up here in Bellevue, Washington, What are some of the exciting things that you anounced this morning, that have been fueled by the momentum of the IPO has as I imagine, ignited? >> Yeah, couple big things, is we, at every tech conference, you're going to hear about new capabilities. Here are the new bells and whistles and features and capabilities we have. But what we're hearing from customers, they also want us to frame those capabilites and things that are consumable. So, not everybody wants to configure or build as we talked about earlier today, they say I have a need, it's specific to this area, and do you have something for me. More turnkey, like that gentleman I said, two to three weeks to turn and sold him my implementation team. So those are being referred to as accelerators. So we announced a few new accelerators today in the sales realm, in terms of being able to better manage engagement plans with prospects and clients and on sophisticated deals it's a very common thing. And the other piece that I think is really important is, not just talking about business users, which is a huge focus for us, but also how do we better support IT and their needs to regulate, control, have visibility and to how Smartsheet is used. So, those were a couple of highlights, and then the ability to give people more controls over how they share their data. There've been some issues in the news recently, where people have shared too broadly, they've said that's the issue, so we're hearing from our customers, give us some more fine gated controls and confidence over how our corporate information is shared with others. Well, Mark Mader, I wish we had more time, but we thank you so much for stopping by theCUBE, and chatting with Jeff and me. >> Great to see you. >> Great momentum, we look forward to a number of your execs and customers and analysts on the program tonight. >> Great, thank you. >> Thank you, good to see you. >> Thanks, Mark, good to see you again. >> We just want to thank you for watching theCUBE, I'm Lisa Martin with Jeff Frick live from Smartsheet Engage 2018. Stick around, Jeff and I will be right back with our next guest. (techno music)

>> Live from Bellevue, Washington. It's theCUBE, covering Smartsheet Engage '18. Brought to you by Smartsheet. >> Hi, welcome to theCUBE. We are live at Smartsheet Engage 2018. Our first time here, I'm Lisa Martin with Jeff Frick. Jeff, it's great to be paired back up with you again. >> Yeah, it's been a little while, great to see you, Lisa. >> It has, you too. So this is the second annual Smartsheet Engage. There's about a couple thousand people here. Double last year and they shared. We just got in from the keynote and they shared some interesting things. First of all, they IPOed just about four or five months ago. I think April 2018. They have presence in 190 countries. They have 75,000 customers. They've got users in half the Fortune 500. 90% of the Fortune 100. And a lot of momentum. What are some of the things that you're excited to learn about Smartsheet today? >> You know, I think it's kind of an interesting story. There's so many components of a lot of different work applications and we go to so many shows. We hear about a new way to work from IBM. One of my favorite lines of the year was actually from Google Cloud where you want to empower people to actually be, as you wrote it down, make judgements instead of drudgery. And these guys are all about that, but it's a little bit confusing 'cause they integrate with a lot of the other type of applications that people interact with at work. The big mentions of the Microsoft Suite, of 365, of Slack and some of those other tools. So what Smartsheet's tryin' to do is really roll those all up under kind of a unified view, parts of project management, parts of task management, a lot of pieces to really add that top level management. So I think it's a little bit of an interesting message. It's a lot of bits and pieces. We're used to that with theCUBE. We have three brands, so I kind of get it. So I'm lookin' forward to learning more about really how they kind of parse that out. >> I am as well 'cause you mention a number of other solutions who they both compete with, Microsoft Teams, JIRA under Atlassian. They also partner with them. And I'm curios to see an example and we've got three customers of theirs on the show today, Jeff. I'm interested to see that in action. If I am at an enterprise, and I am running a marketing project and I want to use Smartsheets, but I also need Slack for messaging, email for communication. I've got maybe another team I'm collaborating with that's using a different workflow automation platform. How does it actually work together? One of the interesting things, when CEO Mark Mader who's our first guest today, was with you in the studio in Palo Alto just a couple months ago, he was talking about the genesis of Smartsheet. And I also saw him say this in a press release when their IPO occurred back in April and said a lot of people, critics, in the very beginning 12 years ago said, you guys are nuts to go base this new technology, this new SaaS platform off of a spreadsheet model. But something interesting that he said is that, that's a construct that 400-500 million people understand. So this is another interesting element to me is that this is technology that's not, you don't have to know how to code or even what an API is. This is for the business users, the lines of business, IT, marketing, engineering, the facilities management. So it's really, it's got a broad spectrum of use cases that I'm also interested in hearing about today. >> It's funny on the worksheet as kind of a construct because we hear that all the time. Especially at all of our big data shows, right? Worksheets in Excel is still used by a lot of people for a significant amount of work. So people are familiar with it and they know how it works. I think they'll have to change that a little bit as they grow a little bit beyond that. Still a lot of conversation about rows and it sounded very spreadsheet centric in the keynote. And I think that'll evolve, but I think what's the most important thing, what I'm excited about, I say this time and time again. We go to so many shows, right? Everyone is struggling to find innovation. To me the answer is, one of the answers is kind of simple. You get more people, more access to more data with more tools to manipulate that data. And then most importantly, the power to do something about it. This was all about empowerment, empowerment, empowerment. Letting people, give 'em the information and then let them actually do something with it. That is so significant and it's kind of interesting. They had a Stephen Covey quote up on their as well that's kind of a similar thing. Taking it to the next step which is that's how you keep people happy, that's how you keep people engaged. Again, less drudgery, more judgment. Let them feel like they can actually make a difference versus just pushin' buttons and movin' paper along. >> Yeah, another theme that we heard a lot on the keynote this morning, Jeff, is about collaboration. And it really seems to me to be this message of symbiotic collaboration. They, Gene Farrell, who's going to be on the show with Jeff and I just in a few minutes or so, talked about, hey, customers we've heard you. You want more, and he actually got the crowd to chant, we want more, it was great. But when he was starting to talk about some of the new enhancements to the features. And yes, you're right, they're still talking about some, I don't want to say antiquated row structures and things like that, there were a number of times where the audience today broke into applause. So, not only are they delivering this SaaS platform to facilitate collaboration between teams at small organizations to big enterprises, they are also collaborating with their customers to continually innovate and improve their product. And I thought, something that I've never seen and we see a lot of keynotes, is that their CEO, Mark Mader, actually went into the audience during his session this morning and asked customers to stand up and talk about how Smartsheet is empowering them. And there were at least three different customers that stood up-- >> Right. >> and quite articulately spoke about how mostly qualitatively, but how their businesses or their team or their productivity is being improved. So this bidirectional collaboration, I thought was very palpable this morning. >> Right, which again I think is one of the huge benefits of the SaaS business model that is way underreported, not by us, we talk about it all the time. Is that if you have a recurring revenue model with your customer it forces you to be engaged. It forces you to deliver value. It forces you to innovate on an ongoing basis. It's not a ship and dump and then release. We'll come back in a year for our 15% maintenance. It's a very different way to go. Other really interesting things, they talked about recent events, Hurricane Florence in North Carolina. Happened to be a customer there able to aggregate and pull together a lot of information into these dashboards and that's something we hear about all the time. We'll hear about it more in the PayPal example. It was referenced in the keynote which is when you have to pull that data together for your weekly executive briefing, this promise of all these dashboards has always been there. Smartsheets is a little bit different because they want to be the primary way, but they want to integrate with all these other applications and other SaaS applications as well, so that you can create that user specific dashboard for the objective and you don't have to reassemble all that data every week for your weekly to roll up to the C-Suite. >> Yeah, and one of the things, speaking of customers, they had over 50 customers speaking at the event this week which is a lot. I was very impressed by that. >> Yeah, out of 2,000 registrants that's a big percentage. >> That is a big number. I think also some of the stats that Mark Mader showed were 1,100 companies are represented here from 20 countries. In fact, I also saw online that nearly a third of their revenue comes from outside the US and they actually don't have much presence outside the US at all. Outside of Converse.AI that they acquired based in Edinburgh, back in I think January of this year. But in terms of customers, the voice of the customer and that customer collaboration, we're also going to be talking to a gentleman who runs their customer success and partner success program. As you mentioned, the SaaS model being different, this isn't just check in every year and dial up the increase in subscription costs. So I'm curious what their new playbook is for customer success that they are developing and implementing or executing, that going to be their word, right? >> Right, right. >> Execution. Based on this new model and how customers want to be engaging with vendors. Ultimately they want things as simple as possible, so I'm curious to hear about how that customer success playbook here might be a differentiator against Atlassian, JIRA, Microsoft Team, and some of the other competitors. And also, how does it facilitate this breadth of collaboration? How does it enable them to collaborate with sales force and Amazon and Microsoft and Slack, for example? A lot of interesting points here and I'm hoping today what we're able to do is help put that together and sort of integrate this message. >> Should be a good day, looking forward to it. >> I think so. >> Our first time here. >> It is our first time. So stick around, Jeff and I are going to be live all day. We are again in Bellevue, Washington at the second annual Smartsheet Engage 2018. I'm Lisa Martin with Jeff Frick. Stick around, we're going to be right back with the CEO in just a minute. (high tech music)

>> Live from New York City it's theCube. Covering Lenovo Transform 2.0. Brought to you by Lenovo. >> Welcome back to theCube's live coverage of Lenovo Transform, I'm your host Rebecca Knight along with my co-host Stu Miniman. We're joined by Madhu Matta; He is the VP and GM High Performance Computing and Artificial Intelligence at Lenovo and Dr. Daniel Gruner the CTO of SciNet at University of Toronto. Thanks so much for coming on the show gentlemen. >> Thank you for having us. >> Our pleasure. >> So, before the cameras were rolling, you were talking about the Lenovo mission in this area to use the power of supercomputing to help solve some of society's most pressing challenges; and that is climate change, and curing cancer. Can you talk a little bit, tell our viewers a little bit about what you do and how you see your mission. >> Yeah so, our tagline is basically, Solving humanity's greatest challenges. We're also now the number one supercomputer provider in the world as measured by the rankings of the top 500 and that comes with a lot of responsibility. One, we take that responsibility very seriously, but more importantly, we work with some of the largest research institutions, universities all over the world as they do research, and it's amazing research. Whether it's particle physics, like you saw this morning, whether it's cancer research, whether it's climate modeling. I mean, we are sitting here in New York City and our headquarters is in Raleigh, right in the path of Hurricane Florence, so the ability to predict the next anomaly, the ability to predict the next hurricane is absolutely critical to get early warning signs and a lot of survival depends on that. So we work with these institutions jointly to develop custom solutions to ensure that all this research one it's powered and second to works seamlessly, and all their researchers have access to this infrastructure twenty-four seven. >> So Danny, tell us a little bit about SciNet, too. Tell us what you do, and then I want to hear how you work together. >> And, no relation with Skynet, I've been assured? Right? >> No. Not at all. It is also no relationship with another network that's called the same, but, it doesn't matter. SciNet is an organization that's basically the University of Toronto and the associated research hospitals, and we happen to run Canada's largest supercomputer. We're one of a number of computer sites around Canada that are tasked with providing resources and support, support is the most important, to academia in Canada. So, all academics, from all the different universities, in the country, they come and use our systems. From the University of Toronto, they can also go and use the other systems, it doesn't matter. Our mission is, as I said, we provide a system or a number of systems, we run them, but we really are about helping the researchers do their research. We're all scientists. All the guys that work with me, we're all scientists initially. We turned to computers because that was the way we do the research. You can not do astrophysics other than computationally, observationally and computationally, but nothing else. Climate science is the same story, you have so much data and so much modeling to do that you need a very large computer and, of course, very good algorithms and very careful physics modeling for an extremely complex system, but ultimately it needs a lot of horsepower to be able to even do a single simulation. So, what I was showing with Madhu at that booth earlier was results of a simulation that was done just prior us going into production with our Lenovo system where people were doing ocean circulation calculations. The ocean is obviously part of the big Earth system, which is part of the climate system as well. But, they took a small patch of the ocean, a few kilometers in size in each direction, but did it at very, very high resolution, even vertically going down to the bottom of the ocean so that the topography of the ocean floor can be taken into account. That allows you to see at a much smaller scale the onset of tides, the onset of micro-tides that allow water to mix, the cold water from the bottom and the hot water from the top; The mixing of nutrients, how life goes on, the whole cycle. It's super important. Now that, of course, gets coupled with the atmosphere and with the ice and with the radiation from the sun and all that stuff. That calculation was run by a group from, the main guy was from JPL in California, and he was running on 48,000 cores. Single runs at 48,000 cores for about two- to three-weeks and produced a petabyte of data, which is still being analyzed. That's the kind of resolution that's been enabled... >> Scale. >> It gives it a sense of just exactly... >> That's the scale. >> By a system the size of the one we have. It was not possible to do that in Canada before this system. >> I tell you both, when I lived on the vendor side and as an analyst, talking to labs and universities, you love geeking out. Because first of all, you always have a need for newer, faster things because the example you just gave is like, "Oh wait." "If I can get the next generation chipset." "If the networking can be improved." You know you can take that petabyte of data and process it so much faster. >> If I could only get more money to buy a bigger one. >> We've talked to the people at CERN and JPL and things like that. - Yeah. >> And it's like this is where most companies are it's like, yeah it's a little bit better, and it might make things a little better and make things nice, but no, this is critical to move along the research. So talk a little bit more about the infrastructure and what you look for and how that connects to the research and how you help close that gap over time. >> Before you go, I just want to also highlight a point that Danny made on solving humanity's greatest challenges which is our motto. He talked about the data analysis that he just did where they are looking at the surface of the ocean, as well as, going down, what is it, 264 nautical layers underneath the ocean? To analyze that much data, to start looking at marine life and protecting marine life. As you start to understand that level of nautical depth, they can start to figure out the nutrients value and other contents that are in that water to be able to start protecting the marine life. There again, another of humanity's greatest challenge right there that he's giving you... >> Nothing happens in isolation; It's all interconnected. >> Yeah. >> When you finally got a grant, you're able to buy a computer, how do you buy the computer that's going to give you the most bang for your buck? The best computer to do the science that we're all tasked with doing? It's tough, right? We don't fancy ourselves as computer architects; we engage the computer companies who really know about architecture to help us do it. The way we did our procurement was, 'Ok vendors, we have a set pot of money, we're willing to spend every last penny of this money, you give us the biggest and the baddest for our money." Now, it has to have a certain set of criteria. You have to be able to solve a number of benchmarks, some sample calculations that we provided. The ones that give you the best performance that's a bonus. It also has to be able to do it with the least amount of power, so we don't have to heat up the world and pay through the nose with power. Those are objective criteria that anybody can understand. But then, there's also the other criteria, so, how well will it run? How is it architected? How balanced is it? Did we get the iOS sub-system for all the storage that was the one that actually meets the criteria? What other extras do we have that will help us make the system run in a much smoother way and for a wide variety of disciplines because we run the biologists together with the physicists and the engineers and the humanitarians, the humanities people. Everybody uses the system. To make a long story short, the proposal that we got from Lenovo won the bid both in terms of what we got for in terms of hardware and also the way it was put together, which was quite innovative. >> Yeah. >> I want to hear about, you said give us the biggest, the baddest, we're willing to empty our coffers for this, so then where do you go from there? How closely do you work with SciNet, how does the relationship evolve and do you work together to innovate and kind of keep going? >> Yeah. I see it as not a segment or a division. I see High Performance Computing as a practice, and with any practice, it's many pieces that come together; you have a conductor, you have the orchestra, but the end of the day the delivery of that many systems is the concert. That's the way to look at it. To deliver this, our practice starts with multiple teams; one's a benchmarking team that understands the application that Dr. Gruner and SciNet will be running because they need to tune to the application the performance of the cluster. The second team is a set of solution architects that are deep engineers and understand our portfolio. Those two work together to say against this application, "Let's build," like he said, "the biggest, baddest, best-performing solution for that particular application." So, those two teams work together. Then we have the third team that kicks in once we win the business, which is coming on site to deploy, manage, and install. When Dr. Gruner talks about the infrastructure, it's a combination of hardware and software that all comes together and the software is open-source based that we built ourselves because we just felt there weren't the right tools in the industry to manage this level of infrastructure at that scale. All this comes together to essentially rack and roll onto their site. >> Let me just add to that. It's not like we went for it in a vacuum. We had already talked to the vendors, we always do. You always go, and they come to you and 'when's your next money coming,' and it's a dog and pony show. They tell you what they have. With Lenovo, at least the team, as we know it now, used to be the IBM team, iXsystems team, who built our previous system. A lot of these guys were already known to us, and we've always interacted very well with them. They were already aware of our thinking, where we were going, and that we're also open to suggestions for things that are non-conventional. Now, this can backfire, some data centers are very square they will only prescribe what they want. We're not prescriptive at all, we said, "Give us ideas about what can make this work better." These are the intangibles in a procurement process. You also have to believe in the team. If you don't know the team or if you don't know their track record then that's a no-no, right? Or, it takes points away. >> We brought innovations like DragonFly, which Dr. Dan will talk about that, as well as, we brought in for the first time, Excelero, which is a software-defined storage vendor and it was a smart part of the bid. We were able to flex muscles and be more creative versus just the standard. >> My understanding, you've been using water cooling for about a decade now, maybe? - Yes. >> Maybe you could give us a little bit about your experiences, how it's matured over time, and then Madhu will talk and bring us up to speed on project Neptune. >> Okay. Our first procurement about 10 years ago, again, that was the model we came up with. After years of wracking our brains, we could not decide how to build a data center and what computers to buy, it was like a chicken and egg process. We ended up saying, 'Okay, this is what we're going to do. Here's the money, here's is our total cost of operation that we can support." That included the power bill, the water, the maintenance, the whole works. So much can be used for infrastructure, and the rest is for the operational part. We said to the vendors, "You guys do the work. We want, again, the biggest and the baddest that we can operate within this budget." So, obviously, it has to be energy efficient, among other things. We couldn't design a data center and then put in the systems that we didn't know existed or vice-versa. That's how it started. The initial design was built by IBM, and they designed the data center for us to use water cooling for everything. They put rear door heat exchanges on the racks as a means of avoiding the use of blowing air and trying to contain the air which is less efficient, the air, and is also much more difficult. You can flow water very efficiently. You open the door of one of these racks. >> It's amazing. >> And it's hot air coming out, but you take the heat, right there in-situ, you remove it through a radiator. It's just like your car radiator. >> Car radiator. >> It works very well. Now, it would be nice if we could do even better by doing the hot water cooling and all that, but we're not in a university environment, we're in a strip mall out in the boonies, so we couldn't reuse the heat. Places like LRZ they're reusing the heat produced by the computers to heat their buildings. >> Wow. >> Or, if we're by a hospital, that always needs hot water, then we could have done it. But, it's really interesting how the option of that design that we ended up with the most efficient data center, certainly in Canada, and one of the most efficient in North America 10 years ago. Our PUE was 1.16, that was the design point, and this is not with direct water cooling through the chip. >> Right. Right. >> All right, bring us up to speed. Project Neptune, in general? >> Yes, so Neptune, as the name suggests, is the name of the God of the Sea and we chose that to brand our entire suite of liquid cooling products. Liquid cooling products is end to end in the sense that it's not just hardware, but, it's also software. The other key part of Neptune is a lot of these, in fact, most of these, products were built, not in a vacuum, but designed and built in conjunction with key partners like Barcelona Supercomputer, LRZ in Germany, in Munich. These were real-life customers working with us jointly to design these products. Neptune essentially allows you, very simplistically put, it's an entire suite of hardware and software that allows you to run very high-performance processes at a level of power and cooling utilization that's like using a much lower processor, it dissipates that much heat. The other key part is, you know, the normal way of cooling anything is run chilled water, we don't use chilled water. You save the money of chillers. We use ambient temperature, up to 50 degrees, 90% efficiency, 50 degree goes in, 60 degree comes out. It's really amazing, the entire suite. >> It's 50 Celsius, not Fahrenheit. >> It's Celsius, correct. >> Oh. >> Dr. Bruner talked about SciNet with the rado-heat exchanger. You actually got to stand in front of it to feel the magic of this, right? As geeky as that is. You open the door and it's this hot 60-, 65-degree C air. You close the door it's this cool 20-degree air that's coming out. So, the costs of running a data center drop dramatically with either the rado-heat exchanger, our direct to node product, which we just got released the SE650, or we have something call the thermal-transfer module, which replaces a normal heat sink. Where for an air cool we bring water cool goodness to an air cool product. >> Danny, I wonder if you can give us the final word, just the climate science in general, how's the community doing? Any technological things that are holding us back right now or anything that excites you about the research right now? >> Technology holds you back by the virtual size of the calculations that you need to do, but, it's also physics that hold you back. >> Yes. Because doing the actual modeling is very difficult and you have to be able to believe that the physics models actually work. This is one of the interesting things that Dick Peltier, who happens to be our scientific director and he's also one of the top climate scientists in the world, he's proven through some of his calculations that the models are actually pretty good. The models were designed for current conditions, with current data, so that they would reproduce the evolution of the climate that we can measure today. Now, what about climate that started happening 10,000 years ago, right? The climate was going on; it's been going on forever and ever. There's been glaciations; there's been all these events. It turns out that it has been recorded in history that there are some oscillations in temperature and other quantities that happen about every 1,000 years and nobody had been able to prove why they would happen. It turns out that the same models that we use for climate calculations today, if you take them back and do what's called paleoclimate, you start with approximating the conditions that happened 10,000 years ago, and then you move it forward, these things reproduce, those oscillations, exactly. It's very encouraging that the climate models actually make sense. We're not talking in a vacuum. We're not predicting the end of the world, just because. These calculations are right. They're correct. They're predicting the temperature of the earth is climbing and it's true, we're seeing it, but it will continue unless we do something. Right? It's extremely interesting. Now he's he's beginning to apply those results of the paleoclimate to studies with anthropologists and archeologists. We're trying to understand the events that happened in the Levant in the Middle East thousands of years ago and correlate them with climate events. Now, is that cool or what? >> That's very cool. >> So, I think humanity's greatest challenge is again to... >> I know! >> He just added global warming to it. >> You have a fun job. You have a fun job. >> It's all the interdisciplinarity that now has been made possible. Before we couldn't do this. Ten years ago we couldn't run those calculations, now we can. So it's really cool. - Amazing. Great. Well, Madhu, Danny, thank you so much for coming on the show. >> Thank you for having us. >> It was really fun talking to you. >> Thanks. >> I'm Rebecca Knight for Stu Miniman. We will have more from the Lenovo Transform just after this. (tech music)