>> Narrator: Live from San Francisco, it's theCUBE, covering RSA Conference 2020 San Francisco. Brought to you by SiliconANGLE Media. >> Welcome back everyone. This is theCUBE's coverage from RSA Conference on Moscone South. I'm John Furrier, host of theCUBE. You know, cybersecurity is changing, and the next technology is right around the corner, and it's got to be invented somewhere, and of course Accenture Labs is part of it. Our next guest is Lisa O'Connor, Global Security R&D Lead for Accenture Labs. Lisa's working on some of those hard problems all around the world. Thank you for joining me today. Thanks for coming on. >> Thank you for having me. >> So, we always get the good scoop from Accenture, because you have a lot of smart people in that company. You know, they know their stuff. I know you got a huge analytics team. I've talked to Jean-Luc Chatelain before, and I know you got a massive amount of, deep bench of talent. But as you have to go do the applied R&D, and maybe some of the crazy ideas, you got to start thinking about where the puck is going to be. >> Absolutely. >> You got to understand that. Well, it's pretty clear to us that Cloud is certainly there. Palo Alto Networks had a disappointing earnings yesterday, because their on-premises business is shifting to the Cloud. You're seeing hybrid operating model and multicloud for the enterprise, but now you got global challenges. >> We absolutely do. >> Huge, so what are you guys working on that's coming? Tell us. >> So we're working on lots of exciting things, and Cloud is one of them. But, some of the things I'm so passionate about in labs, and I have the best job at Accenture. Don't tell anyone. (laughs) I do. So, we are working on, like Jean-Luc is working on applied intelligence, we are working on robust AI. So, when we think about AI in the future, how do we feel that, and know that it's okay? How do we put it out there and know it's safe in production, we've done the right training, we've made our model resilient to what's out there? One of the things we see happening, and I love AI, love it. It has great potential, and we get great insights out of it, but a lot of times we stop, we get the insights, and we say, "Okay, it's in the box, we got a couple hits there, "we're good, it's good." No, maybe not. And so really, it's learning and creating the actually applied attacks on AI, and then figuring out what the right defenses are. And, depending on what type of machine learning you're using, those defenses change. And so, we're having a great time in our lab in Washington D.C., working on basically defending AI and building those techniques, so that what we put out as Accenture is robust. >> You know, it's interesting, AI, you watch some of the hardcore, you know, social justice warriors out there going after Amazon, Google, you know, because they're doing some pretty progressive things. Oh, facial recognition, you got AI, you got Alexa. You know, a lot of people are like, "Oh, I'm scared." But, at the end of the day, they also have some challenges like network security, so you have all this AI up and down the stack. And, one thing I like about what's being talked about in the industry is the shared responsibility model. So, I got to ask you, as AI becomes exciting, but also, balancing, frightening to people, how do you get that shared responsibility model, so we get it right, do the experimentation, without people freaking out? (laughs) So, it's kind of like this weird mode we're in now, where I want to do more AI, because I think it benefits society, but everyone's freaking out. >> Yeah, so, in our tech vision that we just launched, The Tech Vision 2020, there's a lot of talk about value and values, which is really important when we think about AI because we can get great value out of it, but there's a values piece of it and it's how we're using it, how we're getting those insights. Because, the one thing, we have this circle, and it's between customer experience, because the companies that do customer experience well are going to excel, they're going to keep their clients, they're going to do amazing things, they're going to become sticky. But, to do that well, you have to be a good custodian of their data and their information, and curated experiences that they want, and not the creepy ones, not the ones they don't want. And so, we really look at that trust is necessary in that ecosystem, in building that, and keeping that with clients. So, that's something that came out of our technology vision. And, in fact, we're going to be talking at the Executive Women's Forum, this is tomorrow, and we're going to be having a panel on AI, and defending it, which will be very interesting. >> Make sure your people film that conference. We'd like to get a view of it on YouTube after. We love those conferences, really insightful. But, I want to get back to what you were talking about, the fun side. >> Yeah. >> You got a lot of new things on, your guys are kicking the tires on, scratching the surface on. You have two operating labs, one in Washington D.C., and one in Israel. What city in Israel? Is it in Tel Aviv or-- >> Herzliya. >> Okay, did not know. >> Yeah, the tech district, just north of Tel Aviv. It's the hotspot. >> So, Silicon Valley, D.C., and Israel, hotbeds of technology now. >> Yes. >> What's coming out of those labs, what's hot? >> Oh, there's so much exciting stuff coming out of our lab in Herzliya. One of the things that we have, and it's something that's been long and coming, it's been brewing for a while, but it's really looking at creating a model of the enterprise security posture. And, when I say a model of it, I'm talking about a cyber digital twin. Because, so much we can't do in our production networks, we don't have the capabilities. We can look around the room, but we don't have the capabilities on the SOCs team side, to ingest all this stuff. We need a playground where we can ask the what-ifs, where we can run high performance analytics, and we do that through a temporal knowledge graph. And, that's a hard thing to achieve, and it's a hard thing to do analytics at scale. So, that's one of the big projects that we're doing out of our Israel lab. >> Are you saying digital twins is a framework for that? >> Yeah. >> Does it really work well with that? >> So the knowledge graph, we can create digital twins around many things, because a digital twin is a model of processes, people, technologies, the statefulness of things, and configurations, whatever you want to pull in there. So, when we start thinking about, what would we take in to create the perfect enterprise security posture? What would give us all the insights? And, then we can ask the questions about, okay, how would an adversary do lateral movement through this? I can't fix everything that's a 10, but I could fix the right ones to reduce the risk impactfully. And, those are the kind of what-ifs that you can do. >> That's real sci-fi stuff, that's right around the corner. >> Yeah, it is. >> That simulation environment. >> It is. >> What-ifs. Oh my god, the company just got hacked, we're out of business. That's your simulation. You could get to, that's the goal, right? >> It absolutely is, to ask those good business questions about the data, and then to report on the risk of it. And, the other thing, as we move to 5G, this problem's getting bigger and bigger, and we're now bringing in very disparate kinds of compute platforms, computing-at-the-edge. And, what does that do to our nice little network model that we had, that our traditional systems are used to defending against? >> I mean, just the segmentation of the network, and the edge opens up so much more aperture-- >> Yes, it does (laughs). >> to the digital twin, or a knowledge graph. You brought up knowledge graph, I want to get your thoughts on this. I was just having dinner last night with an amazing woman out of New York. She's a Ph.D. in computer science. So, we're talking about graphs, and I love riffing on graph databases. But, the topic came up about databases in general, because with the cloud, it's horizontally scalable, you've got all kinds of simulation, a lot of elasticity going on, there's a lot of software being written on this. You got time series database, you got relational database, you got unstructured, and you got graphs. You got to make them all work together. This is kind of the unique challenge. And, with security, leveraging the right database, and the right construct is a super important thing. How do you guys look at that in the labs? Because, is it something that you guys think about, or is it going to be invisible someday? >> Oh, we think about it a lot. In fact, we've had a number of research projects over the last five years now, actually six years, where we've really pivoted hard in cyber security to graph databases. And, the reason for that is, the many-to-many relationships, and what we can do in terms of navigating, asking the questions, pulling on a thread, because in cyber hunting, that's what we're doing. In many of these use cases that we're trying to defend an enterprise, we're following the next new path based on the newest information of now what the challenge is, or what the current configuration is. So, that's really important. So, graph databases enable that so well. Now, there's still the architecture challenge of, okay, when I ask a query, what am I doing? Am I disrupting the whole apple cart? Do I have to process everything over, or is there a way to do that elegantly, where I can ask my query, and because of how I've structured it in storage, I can do it much better, and I can do it much more efficiently. And that, I think, is where the opportunities are. >> I got to tell you, I'm getting exited now on this whole database discussion, because you think about the logic around what you just said. A graph database with that kind of complexity, when you factor in contextually different things happening at any given time, the database needs to be parsed and managed differently. >> Yes. >> That's a huge challenge. >> It is a great research challenge, which is why we're doing it. >> What is that, how far along are we going to be able to have this dynamic, self-evolving, self-governing, self-healing data modeling? Is that coming soon, or... >> Yeah, I hope so. We wrote about it a couple of years ago. >> You did? >> The self-healing enterprise, aspirational. But I think, I mean, we try to get to real time, right? And, we try to get to real time, and again, refactoring. As we talk about what an adversary is going to do, or lateral movement through a business process, we're talking about a lot of computational horsepower to recalculate all that, process it again, update it, and then again present that back. So the number of things we're asking, how we're asking it becomes also very important to the structure. >> Just, it goes zooming up a little bit, high level, what we're really talking about here is value >> of the data. >> Absolutely. >> And, when you get into the valuation of the nodes, and the arcs, and all that graphs, and other databases, you got to know what to pay attention to. It's kind of like going into the hospital and hearing all these alarms going off. At some point you don't know what's, until they hear a flat line, or whatever. >> Right. That's a bad one. >> I mean, well that's obvious. But, now sometimes there's so many alerts, there's so many alarms. How do you understand at any given time what to pay attention to, because obviously when someone's having a problem you want to pay attention to it. If it's a security alert, that's prioritized. >> And the devil is in the analytics, right? What's the question we're asking, and the analytics that give us that prioritization? And that's non-trivial, because there are a lot of other folks that are doing prioritization in a different manner. To do it at scale, and to do it, not just one hop out, but I want to go all the way to the crown jewels, I want that whole path navigated, and I want to know where to cut along that path. That's a hard thing to do. And so, we've actually developed, and we've submitted patents for them, but we've developed new analytics that'll support that. >> Awesome. Well Lisa, I want to ask you kind of a, I'll give you a plug here, just going to get it out, because I think it's important. Skills gap's a big thing, so I want to give you a minute to explain, or share what you're looking for in your hiring. Who are you looking for? What kind of, the make-up of individual, obviously? Maybe, do you use straight, more academic paper kind of people, or practitioners? I mean, when you look to hire, what are some of the priorities that you look for, and who would thrive in an Accenture Lab's environment? >> Oh, my goodness. >> Take a minute to share what you're looking for. >> Yeah, so we love people that think out of the box, and those kinds of people come from very different backgrounds. And so, part of that is, some of them we look for Ph.D.'s, that have wonderful applied skills, and applied is a key word there. White papers are great, I need to be able to prove something, I need to be able to demo something that has value. So, having the applied skills to a business challenge is really important. So, that sort of ground, understanding the business, very important too. But, our talent comes from many different areas. I mean, I kind of joke, my lab looks like the UN, it's wonderful. I have people from across the globe that are in our cyber security lab. I have, in our Washington D.C. lab, we're 50% women, which is also exciting, because we want different experiences, and we shoot for cognitive diversity, right? So, we're looking for people that think differently about solving problems, and are not encumbered by what they've seen in the past, because we're trying to be tip of spear. And, I'm sure you know that from Paul Daugherty. >> Yeah. >> We are trying to be three to five years over the horizon. >> You guys got a good narrative. I always love talking to Accenture, they have a good vision. So, I got to ask you, the next logical question is, obviously, in the news, you see everyone talking about breaches, and ya know, it's not a breach if the door's open, you just walk in. They're really walking in, nothing was really breached, you're just giving it to them. >> Yeah. It's a passive invitation. >> (laughs) Hey come on in. Human error is a big part of it, but then, breach is obviously targeted, phishing, and all that good stuff. But, as those stories get told, there's a whole nother set of stories that aren't being told that are super important. So, I'd love to get your thoughts on, what are the most important stories that we should be talking about that aren't being talked about? >> Yeah, so I have two that are front-of-mind for me. One theme we come back to, and it's not sexy, it's hygiene. It is IT hygiene, and so many of the large companies, and even medium, small companies, we have legacy technology, and keeping that adds complexity, it adds to the whole breadth and depth of what we have to manage and defend. Keeping that attack surface simple and small, cloud-enabled, all those good things, is a real asset and it makes it much easier to defend. So, that's kind of the first non-sexy one, hygiene. The other one I'll say that I think is a challenge that we are not dealing with yet, quantum computing, right? And so, we're on the way to getting our post quantum cryptography in place, but there's another dimension to it, and it's our histories. So, all of the things that have passed on the wire, all the communications with the key exchanges, all that brilliant stuff, is sitting somewhere. Once we get to that point where this becomes very routine, and it's coming fast, we predicted eight years, two years ago. >> So, all that exhaust is somewhere, pent up. >> It's somewhere that, we have to think about how much data we're keeping as custodians, how we're managing it, and then we have to think about the exposure from our past, and say, "Okay, what does that mean that, that was out there?" "Is it aged enough that it doesn't have value?" And, I think there's a real triage that needs to be done, and certainly data management. >> I think, you know, the hygiene brings up a good point. It reminds me of the story Andy Jassy was telling about the mainframe customer that they couldn't find who had the password. They had to find their person, who was retired 10 years earlier to get the password. You don't forget things, but also, there's a human component in all this. Humans and machines are working together. >> Absolutely. >> And. that's a huge part of it. It's not just machines dominating it all, there's going to be a human component, there's a societal impact that we're seeing with information. And, whether that's out in the open, or behind closed doors, there's all kinds of things looming. >> There are, and I think one of the things in the companies that we're seeing who are embracing innovation well, are doing a lot of retraining. Because, the things that people are excellent at, AI is not good at, and the things that AI is good at, are not at all what people are good at. So, the good news is there is a beautiful teaming there, if we retool the skills, or if we re-envision those roles, so that people can get into those roles, and I think that's really important, because I'd rather see AI do all the heavy lifting well, and be trustworthy, and robust and all those great things, and the people be doing the much smarter things that require a human. >> Does the process serve the purpose? Does the purpose serve the process? Same kind of question, right? >> Exactly. >> AI, you can't have great AI that does nothing. >> That's right. >> (laughs) So, it has to be relevant. >> It absolutely does. >> Relevance is kind of a big thing. >> And we own that context, right? Humans own that context. >> Yeah. Yeah. Yeah. Well, thanks for coming in, and sharing the insight. Really appreciate it. Final question, it's always tough to pick your favorite child, but what is your most coolest thing you're working on right now? >> I'll tell you, the cyber digital twin stuff is so cool. >> The what? >> The cyber digital twin stuff is so cool. When you see the power of what that picture, and the analytics can do, we'll show ya. >> Do you have a demo of that now? >> We absolutely do. >> You do. Is it online, or is it more in person you got to see it? >> More in person. >> Okay. >> Folks can reach out, yeah. >> We'll have to get the exclusive on that. >> We do. >> I love those simulations. I think it's very beneficial. >> It is. >> A lot of learning. I mean, who doesn't want practice? >> Well, and a picture, you know that is worth a million dollars. It's just incredible to look at it, and it clicks. It clicks of all the potential things you could ask or do. And, that's the exciting part now, as we show this with customers' and we co-innovate with customers', they're coming up with a laundry list of questions. >> And, this is the beautiful thing about cloud, is that new capabilities are emerging every day, and you could use the good ones. Lisa O'Connor is here. Thank you very much for sharing your insights. Global Security R&D Lead for Accenture Labs. TheCUBE coverage, getting all the signal here on the show floor, extracting that from all the noise. I'm John Furrier, thanks for watching. (upbeat music)

>> Announcer: Live from Las Vegas! It's the CUBE, covering Oracle Modern Customer Experience 2017, brought to you by Oracle. >> Welcome back, and we are here live at the Mandalay Bay in Las Vegas for Oracle's Modern CX. I'm John Furrier with Silicon Angle. This is the CUBE and my co-host, Peter Burris here for two days of wall-to-wall coverage, day two. Doug Kennedy, Vice President of Business Development and Partner Strategy of Oracle, former Oracle, left Oracle, went to NetSuite, now back at Oracle running partners... Great to have you on the CUBE. >> Yeah great to be here. >> Thanks for joining us. We were just talking before we rolled live about some of the history and some of the dynamics in the industry, and it's a very interesting time, because the partner landscape is becoming a critical linchpin for this digital transformation as the vendors get Cloud and the suppliers become "Cloudified" if you will. The roll of the partners is beyond strategic, it's actually technical. >> Well you've got to look at actually the expertise that you need to actually work with the customer. Always sit in the customer's seat and look back at the vendors and the partner eco-system to determine what they need to be successful. And candidly, we bring part of it as Oracle, partners bring the rest of it, whether it's industry expertise, vertical expertise, they deeply understand agencies, whatever that expertise is, we have to figure out the right partnership with them to go be successful together, and that's the trick, and that's why partners are so important right now. >> And what's the message and focus here at Modern CX? Obviously it's not just pillars of solutions, it's, you got a little bit of a unification, you have this Modern CX, who's got a platform (mumbles). What's the conversation like with partners here? >> So, the ones that I've been having this week... So I've been back all of seven weeks, so I'm rolling out a new partner strategy pretty quickly here, and I introduced it to several of our top partners here this week, and it really is to specialize and focus on the prioritization you can bring to our partnerships. That it's back to specialization. I roll everything back, I've done partnering for, good lord, a couple of decades now. The number one question is, How do we both be profitable? We're in partnerships actually each make money and win together. So back it up to that and look at how they specialize, and don't get too thin, don't get too wide, but look at what you're successful at doing as a partner, and for us to then figure out how to work together in that partnership to go win. So I've been amplifying that up with the partners this week. You'll fail if you're spread too thin and trying to be everything to everyone, and I'm pushing the partners to make sure they bring that to the forefront with us first, before we actually go engage the prospects and customers. So I'm kind of backing up again with a lot of these partners. >> So it's not a general purpose philosophy? >> Doug: Nope. >> It's really, find some swim lanes... Everyone's got a unique specialty, I mean PWC has got their thing, now Deloitte, Accenture, they all kind of have their swim lanes developing, but specialism, it seems to have much more domain expertise, now I was talking to Accenture CTO of analytics, Jean-Luc Chatelain, and they have tons of data scientists. They're coding away! Before they used to be project managers, now they got coders, so seeing that transformation, is that also a dynamic you're seeing? >> Yeah, definitely seeing that. If you look at our eco-system, we've got a little over a thousand partners right now that focus on OMC, the Marketing Cloud. They're ISV's, they're the old traditional SI's shifting into more manage services vein, and still doing implementations. Then you get the agencies, which is unique in and of itself because they're running on behalf of their customers. They understand the marketing industry deeply, so now they're taking our solutions and running on behalf of customers, but they're also a partner type. So it's determining which type you are, and some, by the way, are all three. So how do we work with them most effectively? Cause this is a co-sell model. >> And what's the plan? Can you give any details to the strategy? >> Well the strategy is, first of all, there is an ideal partner profile for each of those partner categories. And to replicate that, the programs we're putting in place, we want more of those that fit what I call the ideal partner profile, which comes, at the end of the day, they're going to be profitable, we're going to be profitable. But if you look at the agency model, you know, how do they actually have the reach in coverage with the customers that they currently actually service? How can we actually work with them to introduce our solutions into that product mix that they already use in their managed operations environment? How do we make sure we're bringing that to the forefront in a way that values the agency's business and then also values their customers? Right? So that's unique just 'cause we're in a sense dealing with two customers. We're dealing with the agencies as a partner who's running on behalf of their customers, but we have to have a solution that fits that equation. Think of it that way. >> But there's something else going on, I want to test you with this. >> Sure. >> That is, it used to be that the traditional partner model, you know, the on-premise orientated partnership model was that the partner was a channel partner, they might embed their software on top of the product, et cetera, but Oracle could be good, and the partner could be good. If Oracle's really good and the partner's okay, it still could work out. This more deeply integrated world where data is the asset, and how you flow it and the speed with which it flows, and the degree to which you can show that end to end coherence is going to determine winners or losers. That means that whoever is the weakest link is the weakest link for every, or sets the quality for everybody to a degree. How is that going to change the way you talk to partners? Because they're going to have to step up their game in a big way for Oracle to be able to step up the game. >> Right, now great question. So we have a co-selling model first of all, right? We have indirect in certain markets--Japan and some of the southeast Asia markets are indirect-- so we will rely on the partners to do most of the selling as well as the delivery and managed services. The rest of the world's co-sell. So with our co-sellers, half of the equation is our own people, so I'm doing a couple different things. First of all, on our side, we're defining roles and responsibities of co-selling and making sure that our own sales people know, not who to engage, how to engage the partner. Going back to the basics of how early you pull them in, do you have them do pre-sales? Do you do pre-sales? Who does the demos? Basically through the entire sales cycle, defining roles and responsibilities. And taking that same set of rules to the partners. So we actually have ground rules on how we want to engage through the sales cycle. The last, and this important point, the last thing you want is for the partner and our own sales rep to meet each other in the prospects lobby at the 11th hour of a sales cycle. We're trying to fix that, but more importantly you raised a really good point. What am I asking the partners to step up and do? We're just putting in place, depending on the partner type, six different criteria, there's also a seventh criteria, that I'm measuring our best partners by. It's around capability to execute locally on both pre-sales and technical implementations and operations. I'm looking at revenue, I'm looking at number of customer ads so you're not just out shooting elephants once a year, but you're also bringing in a volume with us. I'm looking at references. That's the proof in the pudding, that you're capable of maintaining that environment and you're helping your customers derive the most value out of the service and solution. And then the last one is really looking at are you in an industry in a vertical and can you bring that to the forefront effectively in co-selling. So I'm putting a bar out there that says, these are the criteria, you've got to get to over this bar to be one of the partners I take into my co-selling engine and promote you to my sales force. So extremely prescriptive on who we're going to co-sell with. >> So it's sales synergy, not conflict. >> Doug: Exactly. >> So you're trying to identify hand-in-glove kind of fit points. >> Doug: Defining how and who. >> Let me offer one other one and see if this resonates with you, make one other suggestion, is that especially for partners that are part of the Cloud mix, have you talked about end-to-end performance, end-to-end effectiveness, end-to-end efficiency, and start to benchmark some of these partners and say, you're doing okay, but we got other folks over here who (crosstalk). I mean the time of execution, the number of errors that are generated, all these other things, because we're now talking about an integration that is not just in the marketing function, not just in the selling function, not just in the service function, but in the execution. That that's where the customer's going to determine whether the partnership is working. Are you starting to look at some of those measures as well? >> Yes, so the back end of this, I'm now looking at a report that says where are we churning? Where are we actually having down sales, in other words the subscription's not renewd at the same level, and I'm correlating that report for the first time back to the associated partner. Then I could sit back down with them and say, look, we're correlating you to a certain percentage of churn, what do we need to do to fix this? Is it better education? Are you not focusing on the whole life cycle of the customer? So we'll be able to come back at that with the partners as well. We haven't done a very good job of that, candidly. It's kind of the front of the sale, move through, get 'em running and then once in a while we turn up to make sure they're delighted, and that they're renewing. You can't do that any more. >> The interesting thing that you're getting at is, I hate to say, eat your own dog food or drink your own champagne or whatever you want to call it. You guys are saying here, use data and change business practices. >> Doug: Exactly. Exactly. >> So you're going to look at the data and bring that in, but the data model is first, if I hear you correctly is, identify clearly your parameters for ideal partnership. >> Doug: Yup. >> On a profitable win/win scenario. >> Yup, who we're working with, and then define how we're working together so our field can effectively co-sell with them. >> Okay so what's the reaction? I mean, the agency I can see has a potential, a lot of moving parts there, so I think that's challenging in general, just agencies are different than more committed partners, (mumbles), I don't mean to put down the agency, but agencies have a lot of moving parts. >> Doug: Yeah. >> What has been the reaction from agencies and the other different types of partners? >> And this is literally this week for the past three days have been meeting with a lot of the top partners. >> John: Standing ovation? >> They're very pleased, they said we want this approach. 'cause candidly if I say, Look, here's why I'm going to bet on you and here's why I'm going to work with you, you can invest ahead of the curve. Most partners aren't going to invest ahead of the curve. They kind of look in the rear view mirror and go, Yeah I got a couple of deals last month, I'm going to maybe start adding capacity. I could say, Look we're committing to you in these regions in these areas and here's how we're working together. It gives them more confidence to start investing ahead of the curve with us. And that's the best, you don't want them lagging behind the demand. >> And what about the swim lanes we talked about, I call swim lanes, you said specialty? Because that seems to be on the partner, not saying, well you could bring a lot to the table and say, here's how we think you might be fit based on the parameters, but that's a transformation that the partners are going through. Are you being proactive in recommending? Are they coming to you? They seem to be kind of in swim lanes... >> If you leave it up to the partner, they'll come to you. And I swim in every lane and I do everything. In a past life, what I was able to do and I've done a little bit now we're going to finish this job, I was able to run transactions through D & B for the past three years of my partner system. And partners would say, I play in every industry and every vertical, and I'd bring data back and say, actually, no you don't. Here's where you focus. >> John: They hope to be in every vertical. >> Right, they want to, they want to, and that's how they fail, they spread themselves too thin. But we come back with the data to say, look, here's where your references are, here's where the majority of your revenue has come from. I'm going to promote you in these swim lanes. You can move into another swim lane over time, but let's focus here. And we've done that. We've actually, we're about 95% through this exercise over the past six weeks. I've taken some of the maps back to some of the partners to say, here's where we believe we're going to win with you. That's an exercise we're going to finish over the next couple of months, and it'll evolve over time, but those are going to be the swim lanes. I'm glad you use that, I use that privately. Which swim lanes are they in and how do I promote those to be the swim lanes my co-sellers are going to work with them on? And that's the way we work. By the way, it helps them with capacity too. If I'm missing somebody in a swim lane, I will first of all try to take somebody out of the lane and get 'em into an adjacent lane for capacity. They like that, instead of just bringing somebody new in. >> I mean I always say the partner business is pretty straight forward, it comes down to money right? What's in it for me, I want to make some cash. Profitability is really important. I think it's cool that you're being transparent about it, saying, hey we're in business to make money, let's just put that on the table. 'Cause, they're going to posture and, at the end of the day, it's what's in it for me? >> I still think that this notion of moving from a product orientation to a service orientation which Cloud describes means a churn, CX, those types of measures, at the end of the day if Oracle's going to win, it has to be able to demonstrate to the marketplace, our eco-system operates better than anybody else's eco-system. >> Doug: Right. >> And starting to bake some of those measures and bake some of those ways of thinking into the relationship so the partners are lifting their game up, it's going to be really crucially important. >> Well the eco-system thing is going to be tested by the fact that, at the end of the day, at least my experience in talking to customers and experience in dealing with the partners, is at the end of the day, the 11th hour sales conflict is ultimately the indicator of if it's working or not. If this conflict with the customer and trust, like, wait a minute, this guy's not going to deliver, that's an undertone that, if that sentiment's there, it's not working. If it's working, pass, shoot, score! Everyone's happy! Sales guy gets comped on the Oracle side, feeding more business to the partner, you know this is a relationship where it flows to the good partners. >> Right, that's why you don't deal with... all thousand can play in the eco-system, but you place your bets on the top ones and get that right, and that's where your growth is going to come from. >> John: It's gamification. >> Also, also, think of it another way is that, I'd rather give the next dollar to one of my top partners that fits my ideal partner profile and can drive growth with me, than to give it to the person on the tail end of the tail, because they can't turn that same dollar into more revenue together. The guys at the top of the pyramid are more capable of reinvesting in our business. >> And the emerging ones that have an ascention vision of sending up and to be a partner will see the cash being doled out and will align... >> And we're going to be transparent of where the bar is. You want to get there? Here's the things you've got to be able to do. >> Right, and how are you guys helping them with any kind of soft, this is to say, partners say, hey Oracle, thanks for the mentoring thanks for the clarity, I really want to be in the swim lane, and I'm willing to invest. What are you going to do for me? >> So the education and training for them... Some of them, as we look at their profile and how successful they are, we will grandfather them in to certain lanes as well. Like, this isn't, go off into a dark room and prove to me you're successful and pop your head up and I may like you. We're going to still look at that next trench of partners that want to get above that bar and work with them, because if we get them over the bar we'll be successful, we'll be more successful, so we have to help them through training and education and enablement as well to be able to do that, and some opportunities to participate in different marketing programs and campaigns. >> Well you're a pro. It's good to co-sell and it's challenging, and it's got a great, I like the formula. Seven days in... >> Doug: Seven weeks. >> Seven weeks in. What's your feedback on the show? Thoughts? >> No this is very good. It's good for a variety of reasons. Obviously the customer focus is extremely good. The other thing it does for our partners is it gives them a chance to network. Because a customer doesn't just buy one solution from one partner. Typically our sales involve three or four partners at times. It gives them a networking opportunity and I'm trying to aggregate those solutions together into more of a complete offering, and we're just one part of that equation. So these type of events help those partners network together and we drive some of that networking as well. >> Doug Kennedy. So next year when we're sitting on the CUBE at a location, maybe here, maybe somewhere else, what's success in your mind for one year out in terms of in your mind's eye, what do you want to see happening, envision happening for next year's event? >> Well a stake in the ground for our own eco-system is we've doubled the impact of our co-selling through our top line with partners. That's a pretty big challenge, but that's what I'm committing to. It's a big net that we're going to go after. But also here you're going to have a partner eco-system, to be blunt, they're more profitable. They're doing better. They actually want more. I would argue we're going to have more people attending here from my partner eco-system next year, hungry for more information and more opportunities to work together. That's success. >> You're going to grow it up top line and grow the eco-system. >> Yup, and other partners that are not part of that growth, wanting it. 'Cause if you make some poster children, the rest are going to want more of that. So we'll see more of a herd mentality start. >> Doug Kennedy in charge of Business Development and Partners here at Oracle on the CUBE. I'm John Furrier with Peter Barris. We'll be back with more live coverage after this short break.