(upbeat music) >> Hello, and welcome to our Palo Alto studios in California. I'm John Furrier, host of theCUBE. This is a CUBE conversation with Jason Zintak, CEO of 6sense. This is part of our next gen conversation series. We talk about the technologies and the news and the people making it happen for the next generation technologies, clouds, and solutions. Jason, welcome to theCUBE conversation. Thanks for coming on. >> Thanks, happy to be here. >> So you guys got some news. So you got a couple weeks ago you announced $40 million in funding, which we'll talk about. I want to get that out right away. But I think, more importantly, we're seeing a trend where this next gen blank is happening. You know, I'm watching just the Super Bowl next gen stats is for NFL. You got next gen cloud, you got next gen data. The world of the technology is kind of shifting to a new architecture. You're starting to see visibility into what this next gen looks like. Your company is squarely in the middle of this next gen sales and marketing platform, solutions in the new model. Cloud-scale, data first, this is a core, major shift and it's a huge market. Look at Salesforce, look at all these companies that've been around. And they're incumbents now, you're the new guard. >> Jason: Yeah, yeah. >> Tell us, what's going on with you guys? >> Sure, well you're right. We just raised $40 million. It's our Series C from Insight Partners. Went through a lengthy evaluation process and compete and happy to have announce that last month. And as far as next generation, you're correct. I grew up in a world of email platforms and then big data platforms, marketing automation. And this is a data first strategy, where we allow, we now have compute power that allows us to process huge amounts of data sets. So it's our belief that it should all be data first and driven from AI and ML on top of data that drives a next generation marketing tactic or sales tactic, an email, or a display ad. >> What's interesting is that you mentioned you worked in previous old school technology. You were CEO of Responsys, which was sold to Oracle. That was a great wave that brought in the marketing technology stack. We saw the sales and marketing solutions from Salesforce.com obviously. That was the first wave that you were part of. Now the new wave is going to that next level. This is really the fundamental shift. And it's not so much they're being replaced, but they're just being abstracted away with new capabilities, in some cases being replaced. What's the core problem that customers are having, or the core problem that you're solving because some of these old solutions can't scale. >> Jason: Sure. >> Some of them are because they're big, but what's the core problem in the industry? >> The core problem is that these systems were designed to be contact first, or lead first. And as you know today, no one likes an abundance of emails in their inbox. And so companies have said, hey I want to have a relationship with my customer or prospect. I want it to be a cycle of engagement, an infinity loop. Which means we don't blast emails. We monitor a relationship, what that's like, how we might engage. And the data allows us to do that. We can see what's going on with the activity, and based on that engagement, AI tells us what tactic might be the most appropriate. Which is actually send less but more effective and more targeted. So it's a data-driven approach. It's an account based focus in B2B world, as opposed to old generation which is lead and actually rule based. And so we used to write these, call them journey maps, these if then statements, which were manual. And the second we got done doing weeks of if then statements, they become stale. And so now data helps us and AI helps us understand real time behavior with intent and then the tactic. >> Love the name 6sense. Obviously you want to get a sense of what's going on around you, six degrees of separation. You got network effect. We're seeing a new reality and that is organic kind of user experience is different happening outside the funnel, sometimes inside the funnel, as they talk about in the sales and marketing. But users, at the end of the day, they're downloading Brave browser. They don't necessarily want the ads, and so they're making these decisions based on their experience that they want. So this is changing some of the tactics. >> Jason: Absolutely. >> So talk about that dynamic because the old way was based on see an ad, click on it, go to a landing page, get a lead, throw it in the funnel, matriculate down, and sell them something. And time's not on your side. It's not real time. It's slow, antiquated, you know how to quit. >> Exactly right, so if you don't look at Forrester or Gartner, they'll give you stats that 80% of the B2B sales cycle is done anonymously today. Meaning, they don't want to contact the vendor. There's an abundance of data on the web. And so we appreciate that. We want to actually enable an engagement through learning. We call it the actual dark funnel. This is all the research where it's happening without the vendor being contacted, without someone raising their hand and saying I want a vendor message. Because of this activity that we're able to see and be patient with, we're allowed to engage when the prospect or customer says they want to. But in a nurture format, so it's more respectful of their time. And all the while, this engagement idea is we're giving them content when they want it, when it's on demand, and when it's appropriate. >> And there's all kinds of new data laws coming, so you got to navigate that kind of regulatory environment. But we've been saying on theCUBE, this is our 10th year, and you know the old way and now we got a new way that you're on with company is that people are connected. Everything can be instrumented. This is the big data revelation that started about 10 years ago when the big data movement, and when people said hey data's going to be a big part of it. But with the internet, everyone's kind of connected, so you can technically measure everything. So as a company, how do you look at data? I mean data's fundamental to your vision and your execution. How is that ingrained into the culture and your product? >> Good question and first like to say we respect privacy in the data and personal and companies. So we are GDPR compliant, SOC 2, CCPA, the new California laws as you know. And that is part and parcel to our strategy, respect it. But at the same time, today's consumers generally want to be known in some way, shape or form because they understand the experience of engagement, whether it's an account or an individual customer. The experience is that much richer, if it's personalized and done with taste. Meaning, it's not spam. It's not a thousand emails. It's a meaningful, purposeful, time-based engagement,' content's relative to when they want to know something. >> Well I like what you guys are doing. I like this next gen architecture. It's definitely been valid. You've seen the rise of Amazon. Microsoft's shifted their business model to the cloud. And you're starting to see other ones, other people shifting. IBM shifting to the cloud. So they're all shifting to this new business model. So for you guys, 6sense, talk about and tell me about your target market. What market are you going after? Is it the marketing automation? Is it like the sales platform? What's the market that you're in now, and what market are you expanding into? >> Interesting you say that, so we're classically B2B. We obviously have a bunch of tech customers as our, in the account universe. But also manufacturers, service businesses. We are going after the entire B2B organization because the world as you know it, relative to marketing and sales, is changing. And so it's not just marketing automation that we're replacing, or a next generation of, it's customer success. It's the sellers. Our customers' sales organizations use it with their sales people to understand insights of their accounts and how to engage. So I'd say it's that whole universe, and it's that infinity loop across customer, sellers, marketers. >> You know, I want to just before I get into some of the business model questions and target audience, the buyer, you mentioned customer success. We're seeing a lot of energy around what that is. It used to be customer success was like customer satisfaction, support organization. You're seeing companies bring customer success much further forward into the sales and marketing process for pre-sales and or ongoing engagement as some of these SaaS environments evolve. >> Jason: Yep. >> Are you seeing that, and what's going on with this customer success? I'm seeing a lot more other than lip service. It's pretty integral with companies, organizations these days. What's your thoughts on that? >> I think all of us drive to be customer first, customer happiness, loyalty. Sure, why not? I mean, that's what we should do as organizations. Our software actually, interestingly enough, allows customers to monitor how their customers are engaging with the vendor. And for instance, they may be, if we see a spike in looking at a competitor, the customer will say, hey are you happy? Or product telemetry and usage. We help companies track that usage and see spikes and based on that intent, you might engage with your customer differently, high or low propensity to actually churn. We help with churn mitigation and churn management. >> Okay, let's get in to the product. We're kind of teasing around the product. What is the product? What's the core jewel? What's the IP? What's the main platform look like? What's the product? >> So as mentioned, we're a big data company first. Meaning, we believe it all starts with the data. Because of the compute power available, we're analyzing data, which is your first party data. So all your historical sales and marketing outbound, maybe your CRM system, your marketing automation system, some of the systems that will continue to evolve. And we'll match that data with behavioral data. So what's happening on the web, what's happening through maybe it's cookies, email hashes, display account ID, advertising ID. And we've patented an approach called a company ID graph. And this ID graph is essentially this marriage of people, personas, and accounts and what's going on. Based on the insight that comes from this monitoring, you can create audiences or segments to market to, to sell to. So the insights would be on the marketing side, relative to how do I parse my total addressable market. Or on the seller's side, Oh, I can understand what my count or my prospect might be doing today, therefore I want to execute XYZ tactic, and all led by AI. >> And so I got a, good point there about sales and marketing. In the old way you had a marketing tech, and a sales tech. The lines have blurred, almost seem to be fully integrated now, they're one in the same now, seems like that's the way you guys look at it. Is that true? >> Absolutely, I grew up in sales and marketing and the old world they didn't talk to each other. Today this is absolutely the glue, the connective tissue for sales and marketing so you can start with, whether it's marketing or sales ops, you start with a central plan around your account universe, and then parse from there and segment from there. And so, marketers and sellers will come up with the annual strategy, but allows the conversation. So it's no longer is my lead any good. We've got data around the lead, is the customer responding to an ad campaign. We've got data that it's true. It's not, you know, maybe. >> Yeah, it's always the sales guys always tripping about the leads, these are good leads. The leads are from Glen Gary, Glen Ross, always great quote, good quote that in there. All kidding aside, at the end of the day it's about customer satisfaction. No one wants to be marketed to, so it's a wave of personalization coming. And we're starting to see that now with Big Data, kind of set the tone on that. How are you seeing this new account based marketing and company selling platform. To deliver this kind of personalization it adds value. How do you orchestrate all that? So this is the big challenge, how do you bring that all together? What's your thoughts? >> So, actually our platform allows for that. So as you might imagine, you mentioned the sales funnel, and start with you know customer having initial curiosity, or maybe down at the bottom of the funnel there, actual buying stages through procurement. Based on where we detect someone is in the funnel, you would personalize the content. So if we detect through ID graph, that the company or person might be interested in general awareness, awareness content. If they're down in the buying cycle, far down into the funnel, then it's more related to transactional, meaningful clips that would be more relevant. And that is the personalization, so it's stage appropriate as someone would want to consume it. As there engaging with us. >> Jason give us some of the top use cases that you guys are seeing, as you start to see visibility, you got $40 million in funding, third round venture. You got customer growth, good growth. What's the visibility, what do you see in front of you, what are the use cases? >> Great, so for the capital, I assume you mean. We've had two great years, we've doubled the company two years in a row. We're expanding, so it's actually going to be sort of broad brush, we're expanding our field organization, we're expanding the engineering. We're looking for acquisitions that are strategic, and so our growth will be both organic and inorganic, but it's because of the success and the growth. We want to build the product better to make the customer happier. And that is the general use, of our international expansion. >> So I'm a customer, sell me on this, what's the pitch? >> So-- >> I'm a big tech company, I've got five tons of data. People, internal knife fights going on, I got this platform, we got to get the ROI out of it. How do you, what's the, what's in it for me, pitch me? >> Hey, John is your sales organization happy with the leads? Do they think it's quality? >> The leads are shit. (John laughs) >> The leads are shit, we can help you there, we actually have you know AI helping us understand your account prospects of whose high propensity to buy. We help your sellers. Does marketing talk to sales, John? >> They have meetings, no one want to attend them, I mean this is the kind of thing that goes on. I mean we're talking about, kind of role playing here, but in real time, Hey, no, we're good. It's the sales guys fault, they're not good enough. >> Yeah, exactly, so-- >> The leads are terrible. So there's obviously, again, this is the kind of thing, the tension that goes on. >> Yes, so from the marketers perspective they're looking for a more data driven approach to, and again data helps, data doesn't lie. You know it's sort of math. And so it's no longer speculative, it's we can see the engagement if we run a campaign, whether it be email, ads, social posts, chat bots. All this is collecting data, and showing data relative to efficacy, and that is actually what the marketer wants, and candidly the CEO wants to the see the result of those joint selling and marketing efforts. >> All right, so you got me hooked. Let's do something. How do your clients engage with you? What do they do? A POC? Do they just have a sandbox, is there kind of a freemium tier? can you explain some of the business model and engagement? >> Sure, yeah. We do POC's, we do sandbox. But interestingly enough, we can turn the data on in an hour, an actually a prospect can see what's happening in their universe, they're competitive universe or their own. website, for instance. And so that's a very easy way, tell-tale sign to see data at work. We have low entry points, where companies can come in at 30K at 20K, and start. Or we have million dollar plus contracts that you know span the breadth of sales, marketing and customer success. So it's an easy entry point, you can grow with data, you can grow with users, or you can grow with models. >> So Facebook, and LinkedIn are on, and Twitter, but mainly Facebook and LinkedIn are showing micro targeting as highly valuable. I mean the election train wreck that's happened this past few years, and even this year, I see Facebook has their own issues, but LinkedIn, a lot of people from a B2B standpoint, like LinkedIn. It's network effect kind of distribution, you got targeting, you got a lot of metadata in there. So it's kind of brought up the conversation around micro-targeting. Why can't you just go at the people? You guys do an account based marketing and sales orchestration platform, and you've got these little walled garden organizations out there like LinkedIn. I'm not sure they're selling the data, do they do that? Do you work with LinkedIn, so will there be more LinkedIn? Nope, we got our data, we're going to keep it? Data becomes the key, but if they're going to hoard the data, it's a problem. How do you address that? First of all, do they hoard the data or not? And if so, how do you guys get around that? >> Well you know LinkedIn's got a wonderful business, and they, to agree some of this wall, are a partner of ours, and actually we'll have some announcements pending. So I'll save that for later, but -- >> So they are engaging with platforms, LinkedIn from a data standpoint. >> Very much so, we're an active talks with LinkedIn. And I think we all want to share for the benefit of the ultimate customer experience. And we believe that because we have the Big Data, and we also allow for that micro-segmenting. LinkedIn's another channel, and we want to activate every channel through our platform and that is our strategy. So we allow you as mentioned before, email, display, social sites. >> Do you guys have a program or approach or posture to the marketplace in terms of, if I have a platform, do I engage with you. Can I be a partner or am I a customer? How do you look at the biz dev or partner side of it? >> You know part of the $40 million funding is going to allow us to build out the partner ecosystem that's already in play. We work with agencies, ad agencies. We work with professional service organizations. We work with complimentary software products. We want it to be an open system. We want to be able to bring your own data, and we'll carry it for you to make the AI that much smarter. >> Awesome, great stuff, quick plug of the company, we're you guys at in terms of head count? What are some of your goals this year? And what are you guys looking for, obviously hiring, you said, you mentioned earlier? Give a quick plug for the company. >> Yeah, thank you for that. As I mentioned we doubled the company two years in a row. We've tripled our head count. You know we're hiring everyday in every single segment, looking for people. We'd love to talk to you. We've also tripled our customer base in that same period. So, things are going well, we're happy and I think the big challenge is just keep doing it, and deliver delightful experience for customers. >> Interesting, companies can be very successful Jason if they have a certain you know view. You guys are data first, you got to a horizontal view of the data, but yet providing a specific unique solution to differentiate off that. We're video first, that's our angle. A lot of people having virtual first. Your starting to see this new kind of scale with companies. So I want to ask you about your vision for the next few years. As you look out as the wave is coming in, it's very clear. Cloud-scale, the roll of data, machine learning and AI. It's going to build this Application Layer that has to be horizontally scalable, but yet vertically specialized, for the use cases. Which requires a very dynamic data intensive environment. What's your vision of the next few years? How do you see the world evolving? Because there's a lot of big companies, and start-ups that have been around doing a lot of these point solutions that are features. How do you see this next wave go in the next five years? >> I had a thesis three years ago, I joined the company that these point solutions would go away because they weren't data driven. The hard work is in the large data, the applying the ML and AI on top of that and then doing something with that. We surfaced in applications for the last two years, we've been building the apps that allow marketers, sellers, and customer success organizations to prosecute that data, understand the data and let AI recommend a tactic. So I think it'll just be more of the same but specialized by use case. So where some of our applicability is generic use cases, we'll get specific to telecom on that use case, we'll get more specific in customer success enabling turn mitigation as opposed to just sellers and marketers. >> That's awesome. And if you look at the current events, I got to get your expert opinion. Donald Trump, the Democrats, they've been using social platforms, political ads are being kicked off, but there is a lot more innovation that they're actually doing. So with all that they had actors out there, there's actually an innovation story that's going on under the covers. What's your view of that, I mean the bad stuff's out there, but they're leveraging the new architecture. Facebook's on record saying that Donald Trump ran the best campaign ever. Mentions why he's winning. >> That's the story and back story is sort of history unfolds when we understand it. Is that these election cycles have leveraged data to run their campaigns and it's the new world. And so while there may be bad actors, I think hopefully the world is majority good. And much like our story, we tryna bring a data solution and help decisioning. Obviously, the political campaigns are leveraging it to. >> Yeah, it's disastrous to see the applications fail like they did in Iowa, but the data's there, I mean it's about time. I always say it's going to be on block chain, and Andrew Yang is, just recently came out and said, All the voting should be on block chain. Maybe that's going to happen someday, we'll see. Jason thanks for coming, I appreciate the conversation. >> I appreciate the opportunity, thanks John. >> Jason Zintak, here the CEO of 6sense, industry veteran. Big pedigree, big company with $40 million in fresh funding. We're talking about next generation platforms, I'm John Furrier, thanks for watching. (upbeat music)

(upbeat music) >> Narrator: Live, from Las Vegas, it's the CUBE. Covering Oracle Modern Customer Experience 2017. Brought to you by Oracle. >> Welcome back everyone, we are here live in Las Vegas for the CUBE's special coverage of Oracle's ModernCX, Modern Customer Experience, this is the Cube, I'm John Furrier, my cohost Peter Burris. Our next guest is Tony Nadalin. Tony Nadalin is the global vice president of the Global Consulting at Oracle for the marketing cloud. Welcome to the CUBE. >> Well, thank you. Thank you for having me. >> So you've got to implement this stuff, and we've heard a lot of AI magic and there's a lot of meat on the bone there. People are talking about there's a lot of real things happening. Certainly, Oracle's acquired some great technologies over the years, integrated it all together. The proof is in the pudding. When you roll it out, the results have to speak for themselves. >> Tony: Yes, absolutely. >> So share with us some of those activities. What's the score board look like? What's the results? >> I think what's really important, and Lewis spoke about this yesterday, it's people and product. The customers are buying visions. They're looking at creating and changing the customer experience. They're not just buying a piece of technology. They're buying a transformation. I think what's really important and what we do a lot in services, in all services, not just Oracle Marketing Cloud Services, but just healthy services, is when customers are implementing, they're not just implementing technology, they're not just plumbing the pipes. They are putting in changes. They're looking at the people, the process, the technology. We have a really good relationship with our customers and our partners and we're constantly looking at the complete set of services, the complete suite. From what I call transformational services, where we come in and try to understand what are you trying to change? How are you trying to change your customer experience? As a marketer, owning not only what you do, and how all the different channels are working together across all the different products that they are. They purchase Eloqua, Responsys, BlueKai, Maxymiser, et cetera. >> So you're laying it all out, it's like you're sitting in a room, now I'm oversimplifying it, but it's not just rolling out stuff. You've got planning. >> Tony: You've got to plan it. >> Put the pieces together. >> You do, and it's a readiness. It's a readiness of the organization, you think about it, you've got within a marketing organization, you've got many teams coming together that have to be united around the brand, the consistency, how they're engaging with customers. But also, not only across like an acquisition team, or loyalty or an upsell and cross sell team, how does that, as we were looking at the products key notes, how does that then extend into the services engagement? How does it extend into the sales engagement? How are we making sure that everyone is using the same messaging, the same branding, leveraging each other? It's a real transformation at a people, process and technology level. So that when you're then implementing, you're implementing changes. And so we've got some great services and great partners that make sure that when the customers are going through that transformation, they're sort of going it fully readied. And our role, from a services perspective, is to ensure then, sort of define the transformation, define the strategy, like plan the plan, and then go execute the plan. And then putting in the plumbing, getting everyone readied. The analogy I used, I'm sure you've got kids, right? When we have toddlers, and you build the kid's first bikes. Your goal is to build that bike, put the training wheels on the bike, and ultimately sort of stand behind your child to a point that when you let them go, they're not going to graze their knees. Then from an ongoing basis, continue to stand behind them, then get ready to take the training wheels off. Then training wheels come off. Maybe at one point they may become BMX champions, right? But you're sort of behind them through the whole-- >> John: There's progression. >> Progression, exactly. >> With my kids, it's simply man to man, then zone defense. (laughter) >> But it's progression, right? A lot of customers, we have not only the onboarding and implementation services, but these ongoing services that are so key. Because obviously it's important to ensure that your customers are realizing. When I think of our services and the journey, there's the discovery, the transformation, and the strategy. That's like the discovery. But you've then got the realization. And then the optimization and the realization to me is that you're realizing that initial step. You're realizing the technology and you're realizing people and process. You're getting people stood up. Skills, people, organizations, technology, data. You're realizing it all so they can then take the next step. >> Alright, so what's the playbook? A lot of times, in my mind's eye, I can envision in a white board room, board room, laying it all out, putting the puzzle pieces together, and then rolling out implementation plan. But the world is going agile, not waterfall anymore, so it's a combination of battle mode, but also architectural thinking. So not just fashion, real architectural, foundational. >> Peter: Design thinking. >> Tony: Exactly, architectural. >> John: Design thinking. What's the playbook? What's the current state of the art in the current-- >> Well we have obviously product consultants, architects, solution consultants, content creators. It's the whole spectrum of where the customer needs to focus on. And I think-- >> John: So you assemble them based upon the engagement. >> Based upon the engagement and understanding, like what are the customer's strengths? Where are they now? Where are they trying to get to? There's some customers, you know, we have a whole range of services, and we have a whole range of customers. So there are some customers who are like, "We have our own teams today, "we want to augment our teams with your teams, "we want to have hybrid models." Or, "We have our own teams today, but not only have you got great people, but you've got great processes." So like, look at Maxymiser as an example. A lot of our Maxymiser customers, not only use our platform, but they use our people. They're not just buying our people, they're buying a sort of agile, Kanban, JavaScript development practices that are a different level of software development. It's not just the people that can code, it's the development practices. So it's that whole operational services where we bring to the table just a different degree of operational excellence. But we're also to go in to our customers that have their own teams and provide them also consulting perspective around how they can also sharpen their edge. If they want to sort of keep, you know. So whole spectrum of services. >> So let me see if I can throw something out there, in kind of like the center, the central thesis of what you do and how it's changed from what we used to do. Especially a company like Oracle, which has been a technology company at the vanguard of a lot of things. It used to be that customers had an idea of what they wanted to implement. They wanted to implement an accounting system. The processes are relatively known. What was unknown was the technology. How do, what do I buy? How do I configure? How do I set it up? How do I train? How do I make the software run? How do I fix? So it was known process, unknown technology. As a consequence, technology companies could largely say, yeah, that value is intrinsic to the product. So you buy the product, you've got it now. But as we move more towards a service world, as we move more toward engaging the customer world where the process is unknown, and the technology, like the cloud, becomes increasingly known. Now we're focused on more of an unknown process, known technology, and the value is in, does the customer actually use it. >> I think the value is actually in does the customer get value. I think there's a, I've managed customer success organizations and customer service organizations, and the one thing I see in SAS, is usage doesn't always equate to value. So I think as a services organization, it's important to understand the roadmap to value. Because a lot of times, I would say in commodity software, sort of the use of it by default in itself was enough. That you were moving to a software platform. I think SAS customers, especially marketers, are looking for transformation. They're looking for a transformation and a change in value. A change in value in the conversation they're having with the customer. A change in acquisition, loyalty, retention, a change in being relevant. As Joseph was saying this morning, being relevant with the customer, and that value is more than just implementing some technology. >> So it's focusing on ensuring that the customer is getting value utility out of whatever they purchase. >> Tony: Correct. >> Not just that they got what they purchased. So as we move into a world where we're embedding technology more and more complex, it's two things happen. One is, you have to become more familiar of the actual utilization. And what does it mean, and I think marketing cog helps that. What is marketing, how does it work? And second one, the historical norm has been, yeah, we're going to spend months and years building something, deploying something, but now we're trying to do it faster, and we can. So how is your organization starting to evolve its metrics? Is it focused on speed? Is it focused on, obviously value delivered, utilization. What are some of the things that you are guiding your people to focus on? >> Well I think, I very much take a outside-in view. So to me, if I look at why a customer is buying, and what do they want. Obviously most customers want fast time to value, as reduced effort, obviously, and little surprises. I think having a plan and being able to execute your plan. And this whole, as we were talking like one-to-many versus one-to-one. >> And timing too, no surprises and they want to execute. >> And time to value, right? And speed. And I think as we were talking, similar to as a marketer is trying to engage any customer and sort of going from that one-to-many to that one-to-you, what's important now for any organization, a services organization, any company, is to understand what does your business look like? Because why you bought from Oracle, whether you be in a certain vertical or a certain space, or a certain maturity as a customer, it's important that we have the play books, and we do, that say that if you're a customer of this size, of these products in this vertical, then we have the blueprints for success. They may not be absolutely perfect, but they're directional, that we can sort of put you on the fast path. That we've seen the potholes before, we've seen the bumps, we understand the nuances of your data, your systems, your people, your regulations. So that we can actually, we have a plan. And it's a plan that's relevant to you. It's not a generic plan. And I think that's the biggest thing where good companies show up then deliver solutions that they're not learning 100%. There's always going to be nuances and areas of gray that you work through, where the customer's just as much as vendors as they transform. We're not just swapping like for like, but when you transform, there's changes that occur on the customer side. There's new awarenesses of I didn't realize we did that. I didn't realize I want to change doing that. And I've actually changed maybe my whole thought. >> What's the change coming from this event? If you look at the show here, ModernCX, some really good directional positioning. The trajectory of where this is going, I believe is on a great path. Certainly directionally relevant, 100%. Some stuff will maybe shift in the marketplace. But for the most part, I'm really happy to see Oracle go down this road. But there's an impact factor to the customers, and the communities, and that's going to come to you, right? So what are you taking away from the show that's important for customers to understand as Oracle brings in adaptive intelligence? As more tightly coupled, highly cohesive elements come together? >> I think to me, it's transformation. Customers really do understand what are they trying to achieve as they transform? Not just by a piece of technology, but come into it understanding, okay, what are we trying to transform? And have we got like all change management? All transformational management? Have I got the right buy-in across the organization? As a marketer, if I'm trying to transform the organization, have I got the right stakeholders in the room with me? Am I trying to influence the right conversations? You look at the conversation yesterday with Netflix. The discussion, or Time-Warner, sorry. Around their transformation around data. That wasn't a single entity determining that. That was a company driven strategy. A company driven transformation. And I think to really change the customer experience, and control the brand of that across all touchpoints of the company, it requires transformation and it requires being realistic around also how long that journey takes. Depending on the complexity and size of the company. It requires investment of people, of energy, or resources and really understanding where is your customer today? Where is your competition? And to Mark's point, it's like the market is being won here, you're having to compete against your competition, you're having to be better than them, you're having to understand your competition just as much as you understand yourself, so you're leapfrogging. Because just as much as you're going after your competitors customers, your customers are coming up for your customers, right, your competitors are coming up for your customers. I think transformation and understanding how to engage the right services leaders, be it Oracle or any of our partners, to really transform your business is to me the biggest take away. The technology then, be it Chatbox or AI, I mean they augment, they help, they're going to be channels, but I think transformation is key. >> It's really not the technology, it's really what you're doing it with, at the end of the day. Tony, thanks for coming on the CUBE. We really appreciate it, and again, when the rubber hits the road, as Peter was saying earlier, it's going to be what happens with the product technologies for the outcomes. >> Tony: Absolutely. >> Thanks for sharing your insights here on the CUBE. Sharing the data, bringing it to you. I'm John Furrier with the CUBE with Peter Burris, more live coverage for the Mandalay Bay in Las Vegas from Oracle's ModernCX after this short break. (upbeat music) >> Narrator: Robert Herjavec >> Interviewer: People obviously know you from Shark Tank. But the Herjavec Group has been really laser focused on cyber security.