>> Narrator: It's theCube, covering Sapphire Now 2017, brought to you by SAP Cloud Platform and Hana Enterprise Cloud. >> Hi, welcome to theCube, I'm Lisa Martin, with my cohost George Gilbert, we are covering SAP Sapphire Now 2017. George, we've just watched the keynote, the very dynamic keynote with quite a few characters, I want to get your take on some of the things we heard in the keynote today, Bill McDermot kicked it off very lively, one of the first things that was interesting to me, and I'd love to get your opinion, that the journey to the club requires empathy and transparency. It's not often something that we hear from an CEO. What were your thoughts on his vision as to what SAP is doing around empathy and transparency. >> I guess I would take it in the soft skills that it might have been intended which was, empathy in that there's going to be changed management, not just because you're moving the operational capabilities from on-prem to the cloud, but because you're exposing new capabilities that will impact how people do their jobs. And transparency I think is part of the program of migration where you're going to break some things as you move them, and this is going to call out in the process of migration what few things you need to change. I think that's what he meant by transparency, because it's not a complete seamless lift and shift. >> Definitely. I think another thing that kind of jumped to mind is that, not only are these firsts changing, they talked about the digital core and the essential elements of that, but also the fact that they are listening to their customers, customers saying we want transparency, we want to see how things are going like you said, it's not a lift and shift, we need to get more understanding, but I think the undertone of we're listening to our customers was quite strong, when they talked about the new SAP Cloud Trust Center, that seemed to really bring it home in terms of what he was talking about, where not just customers of SAP, but that they're using Hana, can see what's happening within their cloud infrastructures, but also people who aren't using it yet, so really broadening transparency to foster new customers, and acquiring new customers going forward. >> Yes, I guess with the transparency, the footprint for enterprise applications is just growing and growing, and he talked about at one point, we're not just talking to the CIO, the CEO has to be involved, the head of sales, head of procurement, head of supply chain, and I think it is related to the idea of the digital core, and then the what they call the sort of win applications around them, which is the core where the traditional systems of record and the win, they're like the AI in machine learning and Internet of Things and Blockchain, these are strategic new capabilities that enable applications, not just about efficiency, but about opening up new business models, new product and service lines, things like that. >> And they talked about, you mentioned, they talked about openness as the game changer with the nucleus of a digital enterprise being that digital core. You talked about machine learning, AI, blockchain, give us a little bit of an insight as to this expansion of Leonardo, they talked a lot about Leonardo, what were some of the things that really stuck out in your mind as the new capabilities, and who's their audience here. >> Okay, great questions, because their audience is not the typical, their typical buyer was the CFO, because it cost so much, so he had to be involved. IT, the CIO, because he had to sort of standardize the infrastructure on which it ran. And then between the two of them, they were essentially putting in a platform for business process efficiency, and that's what they called the core, and then Leonardo is now the win that surrounds that And that has, they see that having transformational capabilities, and that impacts then not just the departments that were looking for efficiency, but looking for transformation, so that's why they have to get involved, the head of sales, the head of procurement, supply chain, things like that. It's a different sell, just to offer an example, the best description I ever heard for trying to sell enterprise software is like trying to get a bill through both houses of congress, and congress just got a lot bigger. >> So from a target audience perspective, we know that they work with small medium sized businesses, Enterprise, we had Google on stage, they're partnering with Apple, with Facebook, etc, looking at Leonardo, from a target audience perspective, are they talking to mostly the large enterprise north of 1500 employees? >> Those customers come first, because they always have the more sophisticated, greater number of more sophisticated skillsets in place, and as these systems mature from the early adopters, they work the kinks out they're able to generalize things better, and then it's more easily absorbed into the main stream. McDermot said something interesting, which was you're either an early adopter or an also ran. I think he's trying to motivate people to get started, but the adoption curve doesn't really change just because we're doing more advanced technologies. >> One of the things that interested me, is if you look at a small to medium business, and they mentioned a number of businesses, Mod Pizza for example, during the intro, and there's a great video about them on their website, but if you look at an SMB or SMBE about, as a competitor, they're much smaller, typically, much more agile, much more nimble, that was one of the things I was sort of expecting to hear in some sense in the keynote about the small enterprises really becoming the disruptors because they can react and move faster than a larger legacy incumbent. What were your thoughts there? >> In Tech we look at the smaller to mid sized companies as being more nimble, but that's changed in the last few years, where the big incumbents, the rich just get richer, partly because, partly because they have these data assets that they can keep turning into newer and newer products. That may change in the next few years, but right now, the more data you have the more your advantage. And the capital intensity is for the most part so low that they can use all their profits just to buy the little guys who look promising. That's in tech, outside tech, I think the answer to your question will be, how easy can SAP make it to absorb and install and implement and run their system. In the past it was so flexible that you really needed extremely sophisticated implementation advice to get it up and running. If they've taken that out and simplified it, and made it like just, you know, configure these buttons, then that would make a difference. I'm not sure we have seen the answer to that yet. >> Okay, playing on the incumbency theme if you will. Google, Diane Green was on stage, and, at Google Cloud Nexus just a couple of months ago here in San Francisco, they announced a partnership with SAP to deliver Hanna on Google Cloud platform, and today they talked about kind of the expansion of that, they had a customer, a consulting agency that was their proof in the pudding. And one of the things Bill McDermot did say was we are now partnering with Apple with Facebook with Google, so they're talking about some of these incumbents, looking at Google as an incumbent, but also as a competitor of Microsoft Azure, of AWS who SAP also works with, what was your take on the conversation that Diane Green had in announcing this expansion and hey here's a consultancy that's leveraging SAP Han into Google Cloud. >> Well Diane Green had to talk about both, because just running SAP on the Google Cloud platform, without sentient systems integrated to help, a customer who might want to buy it in, implement it, and then integrate it with their existing systems, they probably can't do that on their own, because SAP is still complex enterprise software, even if some of the operational capabilities are offloaded to a cloud vendor, so she needed both SAP and an implementation partner to say hey we're serious, but I guess I would add that when you're evaluating SAP there's more than just the core app, the core app is sort of the center of the universe for a customer who is looking to take their systems of record into the cloud, but there's an ecosystem on each cloud that surrounds that that makes it easy to build applications that leverage, that ecosystem's richest on Amazon, it's not far behind on Azure, and Google is still booting that up. >> So what advantage does this SAP partnership with Google give to Google, but also what advantage of any does it give to SAP? >> Okay, great question, so on the advantage to Google, it puts them as a peer, or more closer as a peer to Azure and Amazon, and then to SAP they can say we're cloud agnostic, I believe their infrastructure technology is both made up of Cloud Foundry which is cross cloud technology coming from Pivotal, and then Open Stack as a sort of infrastructure technology that's coming from a whole bunch of the legacy IT vendors who didn't want to be beholden to Amazon. >> What are the other things today, if we look at future trends, and that's kind of what I was expecting to hear, and we heard about a lot of them, big data block chain, we heard about IOT, industrial IOT, IOE, Deep Learning, they talked a lot about how Leonardo was going to facilitate machine learning, artificial intelligence, really help deliver automation, but one of the things that I was wondering if we were going to hear about was mobile. So a few months ago, I look at my notes here, they announced, I believe it was at Mobile World Congress, this partnership with Apple, so SAP opened their cloud platform to iOS developers with the goal of really establishing a bigger presence in mobile apps to power iPhones, etc, with Hana. Curious about did you expect to hear things about mobile today, or was that not part of the plan. >> If I had expected to hear more it would have been from a partner like IBM. Because with Apple they were essentially creating a toolkit for people to be able to build user interfaces on an iOS phone, and I think they've done Android as well, but in other words, the developer is left to their imaginations to fill in the functional capabilities of whatever app, they just have a frame work that makes building an Apple UI accessible. What IBM did with Apple was actually more significant, which was, hey we have all these industry solution groups, and we all these bright ideas functionality in the cloud, but we dont' have an accessible way to deliver it. SO what IBM teamed up to do with Apple, wasn't just give me, tell Apple give me an iOS UI development kit, it was let's collaborate on building some real apps that pilots need, that delivery folks or field servers folks need. So, I guess, I wasn't blown away by what they did with Apple. >> Okay, maybe that's a to be continued. One of the other themes that we heard today from Brad Luker, was software needs to become a strategy and that openness in that respect is an absolute game changer, allowing machine learning integration, social data integration for customer profiling, and really helping these user of SAP understand customer behaviors. He also said that every company today regardless of size needs to drive innovation by connecting all these business processes when software becomes strategy. What was your take on that from a thematic perspective, as well as a real world implication perspective for SAP customers from the small enterprises to the large. >> You know, I would have through that that would be the whole focus, you know the famous Mark Andersen SA from several years ago, Software's Eating the World. It's now really kind of data is eating software, it's data programs the machine learning algorithms that increasingly make up software. But he was a little bit, he talked at a high level about it, the only example I recall was Hybris, which is their commerce front end, where they're going to link marketing sales service, support, customer experience, and they're going to open this up through micro services, so that other developers can easily leverage these capabilities. That to me was end to end processes integrated on a SAP platform, but I would have liked to have seen a lot more examples of that. >> So you talked about Hybris, and on the Leonardo front, the expansion of that, they really talked about this expansion of Leonardo giving companies the ability to reinvent, that word has been used a lot by a lot of companies including Dell, years ago reinvent, reimagine, that could be used to mean a lot of things, but they talked about that as a facilitator of intelligently connecting lots of things, people, processes, systems, etc, what's your take on Leonardo as an accelerator of innovation as they positioned it to be. >> You know, that was sort of to re-emphasize they called the digital core, which is their legacy, not in a bad way, that's their asset that they can leverage to move in any direction. The traditional apps. And Leonardo was the win capability, how to leapfrog your competition. And they used this wonderful example of a win farm, where they could then look at a particular instance of a winmill and find where the stresses were and a capability I haven't seen yet, they were actually able to put a virtual sensor on that errant winmill and see where the stresses were coming from. But that capability isn't completely unique, there's GE and Predicts, and there's Parametric Technology with their Thingworks, and IBM has their Genius of Things, they're not alone in going after this notion of the digital twin and integrating it within the entire business process life cycle, their value add should be to make it easy to create that life cycle for the digital twin as designed as built as deployed as serviced as operated, to make that possible without tons of programing and to link it in with core business processes like field service, but again, it seemed a little bit more like a scenario than a finished app. >> Okay maybe you're saying for them to be differentiated it needs to be more of a me too, it needs to be much more simpler, maybe this is just the precipice they're on, and just didn't context it that way. >> It felt like a hey this is where we're moving to, as opposed to this is where we already are, and they have a lot of assets to bring to bear to get to that point, it just, they weren't really concrete in saying okay here's the functionality we have today, here's what we're going to add over the next 12 to 18 months, so it felt more like a this is where we're going. >> That's a good point that you bring that up from a road map perspective, and perhaps that will appear in some of the break ads which I would anticipate because they talked about that in the transparency and the empathy part of the keynote when Bill McDermot was first on stage about we're listening to our customers, we need to show you these roadmaps, so they did mention in text having impressed as well that it's for three particular products that they have these three year road maps, and obviously they'll be adding more over time. But if you look at SAP, 45 year old company, their roots in on-prem ERP, looking at their evolution and even kind of getting to the topic we were just on, the virtual reality and understanding sensors, is this a natural progression of an ERP company to transition to completely the cloud, help keep their customers there, establish this nucleus of the digital core, and then expand upon things to bring in machine learning, advanced analytics, predictive modeling. Is that a natural expansion? >> You know it's funny the way you asked that, because I think the answer is yes. But it happened in this wave where first it's completely custom, and you have the excentures, PWCs and the specialized sort of system integrators, the small ones that have boutique capabilities in big data and machine learning. They start building those sorts of apps first for big companies, or for internet center companies who really need to be at the bleeding edge, then comes the IBMs of the world where they have these semi-repeatable capabilities, custom development in the industry solutions groups and in their global business services, and so they're there composing a bunch of semi-finished piece parts, and then when it gets to SAP, it should be pretty much almost packaged and SAP goes in and configures it for the customers, in other words they flip a bunch of switches that make choices, so you go from completely custom to configured and almost fully packaged, and that's a natural progression over time, and every time we encounter newer technology that starts on the back, goes again to the fully custom solution, so I guess I do expect SAP to follow this pattern, their sweet spot, their business model is the repeatable stuff. >> When they talked about running core businesses in the cloud to get the benefits of scale, elasticity, availability, I think this was actually Byrne that was saying that they need to be using intelligent apps to automate as much as possible the hyper connectivity as they were talking about is really going to enable that, and he did predict that 80 percent of business processes will be running through SAP or 80 percent of them running will be fully autonomous in the near future. That's a bold number. >> Yeah, you know and that's the number behind the anxiety that everyone has about so what happens to my job, especially when we have conversational bots, we don't need host on our shows, I mean it's a bit of an exaggeration. There are a lot of people who worry that jobs will get completely automated, and then there are other people who say look, it's not every task I do that can be automated, it's some tasks, and there will be a machine that augments me, and changes the nature of my work, but doesn't replace me. One example is Gary Kasparov, who was beaten by IBMs Deep Blue chess playing program, I forget how long ago, maybe 12 or something like that. The best chess players in the world now, are not the computers, they're the ones who pair with a grandmaster with a computer playing against another grand master with a computer, because there's an intuition as to where to look that is not completely replacing human judgment. It's more like a compliment of judgment and then raw calculating horsepower. >> Interesting accompaniment. Well George, thanks for sharing your insights on the keynote, from SAP Sapphire Now. For George Gilbert, I'm Lisa Martin, stick around, we've got more coverage from SAP Sapphire now 2017. (upbeat electronic music)

(bombastic music) >> Narrator: It's theCUBE, covering Sapphire Now 2017. Brought to you by SAP Cloud Platform and HANA Enterprise Cloud. >> Lisa Martin: Journey to the Cloud requires empathy, requires transparency, and we've both kind of chatted about... Empathy is kind of an interesting thing. >> George Gilbert: Yeah. >> We don't necessarily hear a lot of CEOs talk about that. They also really talked about and drove home the point that software is now a strategy. Being open is a game-changer. So, a couple of things I kind of wanted to recap with you was there was two initiatives that they, SAP, launched, or announced, today, reinforcing the pledge to listen to customers. And one of them is the SAP Cloud Trust Center, this public website that offers real-time information on the current operations of Cloud solutions from SAP. Along the lines of empathy and transparency and really listening to the customers, what, in your take, is the SAP Cloud Trust Center, and what does it really mean? >> Okay, maybe start with an analogy. We used to call people who did not want to outsource their infrastructure, we called them "server-huggers," you know, they wanted to own their infrastructure. And part of allowing your software, mission critical software, to migrate off your... out of your data centers, off-prem, requires a certain amount of trust that takes awhile... takes awhile to earn, because you're going from infrastructure that you've tuned and that only supports your app to infrastructure in the Cloud that's shared. And that's a big change. So, essentially, SAP is saying, "We'll give you a window onto how we operate this, so that we can earn your trust over time." You know, sort of like a marriage: through thick and thin, richer or for poorer, because there are going to be hiccups and downtimes. But ideally, SAP is taking responsibility and risk off the customer. And over time, that should be... Since they know better how to run their software than anyone else, that should work. So they're taking what they believe is a very reasonable risk in saying, "We'll show you how well we do, and we'll show you we do it better than you." >> So there are, right now, there will be three operations, three services, that will be visible, where customers can see planned maintenance schedules, four weeks of historical data, as well as real-time availability, security, and data to privacy. You brought up a great point that I think in many, many contexts, this transcends industries. This transcends peoples. That trust has to be earned. Does this set SAP apart, or differentiate them, in the market? >> Gilbert: I actually think that this was the sincerest form of flattery in terms of copying Salesforce.com. >> Martin: Ah. >> Because they've had this for awhile. And SAP is far more mission-critical, because it's sort of your system of record. It keeps track of everything that happens in your business, whereas Salesforce, it's not really a transactional system. It's more of keeping track of your opportunities, you know, and your customers. If SAP goes down, your business goes down. >> Right. Right. So another thing that they announced regarding, or along the same lines of, this pledge to customers about being empathetic, about being transparent, is the Transformation Navigator. Now, this came actually directly out of comments that Bill McDermott made at SAP Sapphire 2016, where SAP really wanted to start looking at the world through the customer's perspective, through their lens. So talk to us about the Transformation Navigator. Who is it for, what does it do, and what can people or companies expect to get from it? >> I think that one way to look at it is SAP made a bunch of very large and very important acquisitions, like Concur for expense reporting, SuccessFactors for... HR measurement and talent management, and Ariba for procurement. And I don't think they had put together a compelling case for why you buy them all together. And I think that was the first objective of the Transformation Navigator, because it says that it outlines the business value, helps you with transformation services, explains how all the Cloud apps, which were the ones they bought, integrate with the existing ERP, whether on-prem or in the Cloud, and shows you a roadmap. So it sounds to me like it's their first comprehensive attempt to say, "Buy our product family." I would say that the empathy part, the Cloud Trust Center, is a much deeper attempt to say, "Hey, we're going to make all this stuff work together." The first is a value proposition. >> Martin: Right. We should mention that there are two sessions at SAP Sapphire Now that attendees can take advantage of under the auspices of the SAP Transformation Navigator. There is a session on digital transformation, a concept session, and there's also digital transformation deep-dive sessions. So if you're around and you've got time, check those out. Another thing that we talked a lot about today, and that we heard a good amount of today, George, was this expanded Leonardo. That was brought up in the keynote on main stage this morning. And we know that Leonardo was really the brand for IoT, but now it's got new ingredients, it's got these new systems of intelligence, machine learning, artificial intelligence, analytics, blockchain. What are the keys of getting value from these technologies with this new, expanded Leonardo capability? >> I guess one way to think about it is... So the SAP core, which they call, I believe they call the... either "digital core" or just "core," which is the old system of record, and then all these new capabilities around it, which is how to extend that system of record into a system of intelligence. Again, used to be just... Last year, it was IoT, but now there's so much more richness that goes around it. These are all building blocks that customers can sort of ultimately mix and match. Like, you could use blockchain as a way of ensuring that there's no tampering or fraud from the bananas in Peru, all the way till the grocery store in New Jersey. But if you use that in conjunction with supply chain, machine learning, replenishment, you get much better asset utilization. I guess... they're trying to say, "We have your system of record. We have your mission-critical data and business processes." Now it's easy to build around on the edges, around the edge of that, to add the innovative processes. >> So it sounds like, from a value perspective, by embedding Leonardo into business applications... >> Gilbert: Yeah. >> There are innovations that customers can achieve, asset management, you talked about that, so there's clear business value. As you mentioned, it's maybe like a pick-and-choose that customers can decide which of these new systems of intelligence that they need, but there's clearly a business value derivation there. >> You could think of... Yeah, where all these new services enable transformative business outcomes, the old system of record was more, as we've talked about before, was about efficiency. So it makes sense to position these capabilities as transformative. And to say that they leverage the system of record, core, makes SAP appear to be the more natural provider of these new services. >> So in this route, they did announce that they are partnering with Deloitte. What do you think they're doing here? What's the advantage that provides to SAP's install base? >> When you're... embarking on these transformational business outcomes, there is... severe, challenging change management that has to be done. It's not just that it's... We always have products, processes, and technologies, or people, products, and technologies. Here, your processes and your people have to go through much more radical change than they would in an efficiency application, which was the old system of record. We all remember back when SAP R/3 was taking off, the big system integrators got spectacularly wealthy over the change management requirements to do the efficiency roll-outs. Now, to do the transformational ones are far more challenging right now. >> So, another thing that we chatted about earlier was that SAP has embedded machine learning into a new wave of applications. What are those applications, and what is this really for SAP as a business? >> Well, my favorite analogy is something I guess I heard from one of the SIs back in the heyday of the original SAP R/3, which was, you know... Traditional business intelligence and reporting was really about steering a ship by looking backwards at its wake. And machine learning is all about predictive... answers and solutions. So you pivot now, and we've heard a lot about this concept of "software's eating the world," but now data is eating software, because it's the data that programs the software about how to look forward. And some of those forward-looking things are figuring out how to route a service ticket, like, if something goes wrong, where does it go into the support organization? A really important top-line one is customer retention, where you predict if a customer is about to churn, what type of offer do you have to make? >> Martin: Right. >> Then there's a cash application, which, to me, is kind of administrative, where it makes it easy to match a receivable, like an invoice, with a bank statement. Still kind of clerical, and yes, you get productivity out of it, but it's not a top-line thing like the customer churn function. There's a brand impact one where it's like, "I've spent x amount to promote my brand at a sporting event, used machine vision to find out how many logos were out there, and did it have impact that I can measure?" There are a whole bunch of applications like this, and there will be more. And when I say more, I think the more impactful ones that relate to, like, supply chain, where it's optimizing the flow of goods, choosing strategic suppliers... >> So this may be, with SAP embedding machine learning into this new wave of apps, is, like, a positive first step, entry level, for them to get up the chain of value? >> Gilbert: Yeah. The first... Yes. Yes. Yes. The first ones look to be sort of like baby steps, but SAP is in a position to implement more impactful ones. But it's worth saying, though, that in the spirit of "data is eating software," the people who have the most data are not the enterprise application vendors. They're the public Cloud vendors. >> Martin: Right. >> And they are the... sort of... unacknowledged future competitors, mortal competitors, for machine learning apps. >> Okay. Interesting. So, another thing that I wanted to switch gears, see if we could get a couple more topics in before we wrap here... The digital twin for IoT devices. So the relaunching of Leonardo as SAP's digital brand, they've expanded this definition. What does that mean? What is the digital twin? >> Okay, so digital twin is probably the most brilliant two-word marketing term that's come out of our industry in awhile. >> (chuckling) >> Because GE came up with it to describe, with their industrial Internet of Things, any industrial asset or device where, you took a physical version, and then you created a very high-fidelity software representation of it, or digital representation. I don't want to say replica, because it'll never be that perfect. >> Martin: Okay. >> But they would take the design information from a piece of CAD software, like maybe PTC or Autodesk. So that's as designed. There would be information from how it was manufactured. That particular instance, in addition to, let's say all aircraft engines of this... (sudden musical interlude) ...track, each instance. >> (coughing) Excuse me. >> Then, how it was shipped or who it was sent to, how it was operated, how it was maintained, so then you could... The aircraft engine manufacturer could provide proactive fleet maintenance for all the engines. It would be different from the... very different from having the airlines looking in their manuals, saying, "Okay, every 50,000 miles I got to change the oil." Here, the sensors and the data go back to the aircraft engine manufacturer. And they can say, "Well, the one that's been flying in the Middle East is exposed to sand." So that needs to be proactively maintained at a much shorter interval. And the one that's been flying across the Atlantic, that gets very little gunk in it, can have a much larger maintenance window. So you can optimize things in a way that the current capabilities wouldn't allow you to. >> And they showed an example of that with the Arctic Wind pilot project, which is very interesting. >> Yeah. Where it showed windmills, and not just the wind farm. You saw the wind farm, but you also see the different wear and tear, or the different optimizations of individual windmills. >> Martin: Right. >> And that's pretty interesting. Because you can also reorient them based on climate conditions, microclimate conditions. >> Exactly. So last topic I wanted to dig in with you today is blockchain. So you and I chatted about this, kind of chatted about... What is blockchain, this distributed ledger technology? In the simplest definition, a reliable record of who owns what, and who transacts what. So from what we heard today, and from our conversation, it seems like maybe SAP is dipping a toe into the water here. Give us a little bit of insight about what it is they're doing with blockchain, and maybe a couple of key use cases that they shared in supply chain, for example. >> Okay. So the definition you gave, I think distills it really well, with one caveat. Which is, if it's a record of who owns what, who's done what, in the past we needed an intermediary to do that. The bank. Like, when you're closing on your house, you know, someone puts the money in, you know, someone signs the contract. And only when both are done does it exchange hands. With a blockchain, you wouldn't need someone in the middle because the transaction's not complete until, on one part of the ledger, someone has put the money in, and, on the other part, someone's put the title in. And, not to sound too grandiose, but I've heard people refer to this as the biggest change in how finance and trust operates since Italian double-entry bookkeeping was invented in, like, the 1300s, or somewhere way, way back. And so, if we take it to a modern usage scenario, we could take... foodstuffs that are grown, let's say in Southeast Asia, they get put in a container that's locked. And then we can know that it's tamper-proof, because any attempt to open that would be reflected as a transaction in the blockchain. There are other, probably better, examples, but the idea is, we can have trust in so many more scenarios without having a middleman. And so the transaction costs change dramatically. And that allows for much more friction-free transactions and business processes than we ever thought possible. Because having someone like a bank or a lawyer in the middle is expensive. >> Right. And I'm glad that you kind of brought that back to trust as we wrap up. That was kind of the key theme that we heard today. >> Gilbert: Yeah. >> And a lot of great announcements. So George, thanks so much for spending the day with me, analyzing day one of SAP Sapphire Now 2017. >> Gilbert: Thank you, Lisa. >> And we thank you for watching. George and I will be back tomorrow analyzing day two and talking about great things that are going on, again, coverage from SAP Sapphire Now 2017. For George Gilbert, I'm Lisa Martin. We'll see you next time. (fanfare)