Andrea Ward, Magento Commerce | PBWC 2017
(clicking) >> Hey, welcome back everybody. Jeff Frick here with theCUBE. It looks like they're letting the general session out. We're here at the Professional Business Women of California Conference; 6,000 women, about 5% men really talking about, it's amazing, the 28th year. I've never been to this show about how women can get more inclusive and diversity and taking, executing on steps to actually make it happen as somebody said in the key note. It's not a strategy problem, it's an execution problem. So, we've got a great story here and we're really excited to have CUBE alumni, Andrea Ward. She's now the CMO of Magento Commerce. Welcome back, Andrea. >> Thank you so much, it's great to be here and great to be at this conference. The buzz is amazing and I was here two years ago and it's grown so much, just in the two years. >> How many people were there, they say it's 6,000, now. >> I mean, it looks like it's about doubled. I don't know what the numbers were two years ago but the participation is amazing and it's such a great opportunity for local businesses to bring employees from their companies, have them have a chance just to talk and learn from such powerful women. So, it's been a really great conference. >> And, it's also a cross of so many kind of verticals if you will, because you know we go to a lot of tech conferences. This is more kind of a cross industry with banking and insurance and, you know, United Airlines we talked to earlier. And so, it's a much more diverse kind of set. >> Absolutely, I mean the women on the panels this morning spanned legal professions, government, entertainment, business, really diverse issue and it's fantastic that women are coming together to support each other to help make a difference. >> So last we saw you, I think we were on the street on Howard Street a couple years back which was pretty exciting as well, but now your new company, Magento Commerce. So, for people who aren't familiar with the company, give them kind of the four-one-one. >> Yeah great, well Magento Commerce is a leading commerce technology platform for mid-size businesses. We have recently separated from Ebay about 15 months ago and are now a privately held company and we power about a third of the world's commerce, believe it or not. >> That is amazing. Yeah. >> A third of the world's eCommerce. >> That's right. So, it's a fantastic company. We're growing and a part of that growth is absolutely growing a more diverse workforce and we've been putting into place some initiatives since last year. >> Yeah, part of the key note conversations were, obviously, that you need to put goals down on paper and you need to measure them and I think it was Bev Crair from Intel talked about, you know, doing it across all the pay grades. It's not just in engineering or just on the board or just the executive ranks, but really all the way across and it sounds like you guys are executing that to really help you just grow the company generically. >> Well, we're in a very lucky position in that we're experiencing growth and so that gives us room to really go out and look for amazing talent across the board. And so, we put a focus on diversity and inclusion and by doing that, we've increased the percentage of women in all roles across the company by 50% and that's since last June. So I think, you know, really just what you said earlier about execution and putting some numbers and goals against that can really make a difference. >> Right, and if you hadn't had those, that execution detail you probably couldn't have grown that fast because let's face it, it's hard to get good talent. If you're not including a broader base of talent, you're not going to be able to achieve your goals. >> Well, that's right and I think that some of that is, I don't know if you want to call it unconscious bias or unintentional, we're used to hiring people that look like us, have experience like us. And so, by encouraging that diversity, it really has made us expand the pool of applicants, make sure that we're not going for the easiest choice or the simplest choice but really considering a wide range of candidates to fill those positions. >> You know, I don't the birds of a feather conversation comes up enough, it's just easy to go with what you're familiar with. So whether it's unconscious or not, it's just easy, people are busy, you want to check the box and get off to your next task. So, you have to take a step back and consciously do the extra work, take the extra effort. >> Well, in the industry we support, the industries we support are going through digital transformation, I mean, commerce is key and central to digital transformation. And, transformation and change means that you have to consider other perspectives. You need to learn from new ideas and I think, you know, diversity plays a big part in that as well. So, I think bringing that into our own company because we're supporting that broader industry has been very important. >> Right. So, I want to take that opportunity to pivot on what you just said about in terms of the changing role of commerce. You know, I often think of like banks because in a bank, you know, your relationship was with your local branch; maybe you knew the banker, maybe you knew a couple of the tellers whatever, but you had a personal connection. Now, most people's engagement with the brands they interact with is electronic and via their phone and it's interesting that you say that. And, it's the commerce around those engagements, that the commerce is becoming the central point of gravity if you will and the relationship is spawning all from that. >> Well, I mean, personal connections are still very important and commerce I feel is like the moment where a conversation really turns into a relationship. So, it's important that those digital experiences, the customer experiences really make up the right connection with the brand. And so, that seamless interaction between what happens at the branch, for example in the financial example, on what you can do at home, that needs to be very cohesive. It needs to be trustworthy, it needs to be authentic and that means businesses need to create individual experiences that really reflect their brand. And, our company specifically has really helped businesses create those experiences, seamless experiences and translated them from digital to in-store or in the branch. I think the biggest change now is how that's starting to impact business-to-business relationships, I think. >> In what way? In the consumer world, we're used to that now right? We're all doing that in our everyday experiences. Now, we're starting to see that also come into a business-to-business relationship. So, just like the seamless conveniences that you have online in your day to day life, people want to see that in the workplace, too. And so, we're seeing the biggest change now in those types of business models. >> They're rocking in the background, if you can't hear them. >> Yeah! We are here. >> Yeah! You know, it's funny, I just saw, something come across the feed talking about that annoying business-to-business add in Instagram, but then aren't you glad you saw it? >> Yeah. >> So, it's interesting how, you know, the B to C norms, you know, continue to help define what's going on in the B to B space and we've seen it in Enterprise Software Applications and Cloud and the flexibility and speed of innovation. It just continues to really drive the business-to-business relationship. >> Yeah, and I think just like in the business-to-consumer world, it has started with content in business-to-business. But, now people want to move from just learning and knowledge to actually transacting which means that companies need to enable specialized price list, account management, things like that and that's starting to surface in the commerce world as well. So, we're really excited about that and we're going to be sharing some of that at our conference next week; Imagine, in Las Vegas. >> Okay yeah, it's amazing how fast. It was not that long ago, we were just trying to get the 360 view. Right? We were just trying to pull from all the various desperate systems to know who that customer was for a given system. Now, it's a segmentation to want, a very different challenge. >> Right, I mean it's that change from thinking about trying to attract your customer to come to your business to really bringing the business to the customer. I mean, I think that's what some of this digital technology is allowing us to do. We're going to them rather than trying to draw them in to come to us, if that makes sense. This idea of commerce coming to you, right? >> And, it's got to come to you with something that's relevant, that's topical, that's timely. >> That's easy to execute, that can mirror a real experience. I mean, you hear a lot of things about, things like virtual reality, artificial intelligence. I mean, all of that's just gimmicks unless you can actually think about how you make that real for your brand. So, for example, we have a customer in Mexico City who is selling eyewear, right. And so, everybody when they buy glasses, they want to try them on, so we need to help them give their customers that virtual experience. If they can't come into the store and try them on, we want to be able to let them try them on at home. So, that's a natural extension of the brand and a way to use virtual reality and I think businesses are still trying to figure that out. But, if those customers didn't have that experience, it'd be less likely that they actually would buy or, you know, make a commerce transaction. >> But, if I'm hearing you, instead of it really kind of being in a marketing effort that then it's completed with a transaction, you're kind of coming at that which you just described from the transaction first and this is really a supporting or an enabling activity. >> That's right, it all starts with the customer understanding what is going to help them make their decisions. Giving them experiences that feel seamless, giving them options. So, if they want to come in-store but see what's maybe available at another store for pick-up or if they want to come in-store and order online or if they want to order from home and then go into the store and pick it up. It's really about giving the customer the right options for them. >> Right. >> Another great story we had is, I mean, how many of us travel, I know you travel a lot. >> Right. >> I travel a ton. >> Especially, to Vegas. (chuckling) >> Especially, to Vegas! And, you know, my kids are always expecting something when I come home but who has time? So, you know, one of our partners worked with the Frankfurt Airport and created an application where on the way to the airport, you can go shopping at all of their stores in the airport and have your package waiting for you at the gate on the way to the plane. So now, you know, they've figured out what their customers want to do first by creating this great shopping experience at the airport. Now, they know people are running through the airport, how can we extend that shopping experience for them while they're sitting in the taxi (chuckling) on the way, have it waiting for them at the gate? And so, for me personally, working for a company that's helping customers to do those kinds of things has really been fun. >> Right, because they always have the liquor for ya ready to go at the gate but never the kids', you know, t-shirts or a little tchotchke or, I can remember running through Heathrow time and time again trying to find something quickly. >> Yeah, and now with two kids and a husband that all want something different, (laughing) you know, it makes it much easier for me. >> Alright, Andrea, well you've been doing this marketing thing for a long time. I'll give you the last word both on the conference and kind of, you know, as a marketer to see where we're going with A.I. and really the ability to actually segment to one. You know, how exciting is that for you? >> Yeah, I mean, it's fantastic. I think, you know, marketers want to create relationships with their brand and all of these tools are giving us better access, better chance to create that fantastic experience. So, it's a great time to be a marketer. (chuckling) And, it's a great time to be at this conference, too so. >> Alright. Thanks very much. >> Thanks for stopping by, Andrea Ward. I'm Jeff Frick, you're watching theCUBE from the Professional Business Women's Conference in San Francisco. Thanks for watching. (upbeat electronic music)
SUMMARY :
about, it's amazing, the 28th year. and great to be at this conference. they say it's 6,000, now. have them have a chance just to talk and insurance and, you know, and it's fantastic that women are coming together to support So, for people who aren't familiar with the company, of the world's commerce, believe it or not. That is amazing. So, it's a fantastic company. to really help you just grow the company generically. So I think, you know, really just what you said earlier Right, and if you hadn't had those, I don't know if you want to call it unconscious bias and get off to your next task. that you have to consider other perspectives. and it's interesting that you say that. and that means businesses need to create individual conveniences that you have online in your day to day life, We are here. So, it's interesting how, you know, the B to C norms, and knowledge to actually transacting Now, it's a segmentation to want, the business to the customer. And, it's got to come to you with something I mean, all of that's just gimmicks unless you can which you just described from the transaction first It's really about giving the customer I know you travel a lot. Especially, to Vegas. So, you know, one of our partners worked to go at the gate but never the kids', you know, t-shirts (laughing) you know, it makes it and kind of, you know, as a marketer So, it's a great time to be a marketer. Thanks very much. from the Professional Business Women's Conference
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Jason Woosley, Adobe | Adobe Imagine 2019
>> Narrator: Live from Las Vegas, it's theCUBE, covering Magento Imagine 2019. (fizzing) (upbeat music) Brought to you by Adobe. >> Hi, welcome back to theCUBE. Lisa Martin with Jeff Frick at Imagine 2019, the Wynn, Las Vegas, with about 3500 customers, lots of partners, lots of developers, a lot of energy here. And speaking of energy, we have Jason Woosley, VP of commerce at Adobe. Jason, you came onto the stage this morning from the clouds suspended. Talk about energy. >> It was a lot of energy, and there was a message behind it, right? (clears throat) I mean we really are talking about our Cloud penetration and how that is the future. So, you know, I got to do something really cool and check something off the bucket list where I actually did descend from the sky onto the stage. It was the best Imagine entrance I've ever done (Lisa laughing) and really does talk about, you know, how important our Cloud Strategy is. Thanks for having me on, by the way. >> Absolutely. >> Our pleasure. >> So, a lot of energy here, again, community, community, community. We go to so many shows, so many people are desperate to engage developers. And you guys have that in your core. It's been there from day one. Continues to be such an important part of who you are as well as the road forward. >> It's the reason for why we are where we are today. I mean bar none, right? Our community, this eco system. And it's not something you can buy. It's not something you can even intentionally build. You have to nurture, you have to create a platform that speaks to a large audience, and then you've just got to make sure that you're treating those developers and your partners really, really well, empowering them to really differentiate that experience at the last mile. And, you know, it's a flywheel effect. You end up with this incredible community that's anxious to contribute back into our code base and they have made, what you see at this conference is a result of that community. It's not anything that Magento could do. It's not anything that Adobe could do. It is just something that has to organically happen, and then you have to nurture the heck out of it. And that, that's really what we've done. >> And this is a community that you say has grown organically to several hundred thousand people who I feel like to say that they're influential to Magento, the technologies is actually an understatement with how much, how, again, I think influential's the wrong word. They're stronger than that. >> They're absolutely core to it, right? I mean they're an extension of our development methodology. You know, I like to think about, you know, I run engineering as part of my organization, and everybody in my group is customer-facing. Just like everybody in out community is customer-facing. And so we've tried to tear down the walls that separate our community members from our internal core engineers, because it creates this incredible diversity of perspective that you can't find anywhere else. I mean, no matter how much I invest in broadly diverse engineering teams across the globe, 300,000 engineers, they call themselves Magento developers, don't take a paycheck from Adobe but contribute back to our code base, influence our road map and really show us the way. It's an incredible phenomenon. >> In the last year since the announcement of the Adobe acquisition and the actual completion of that six, seven months ago, how has that community reacted, strengthened? What have been some of your surprising observations about the community's strength? >> It is surprising, and I'll tell you why. I think we came into the acquisition with a lot of apprehension, right. There was a concern that, you know, Adobe's too big. They're too corporate. They don't really love Open Source. All untrue, right? Adobe has incredible Open Source initiatives already inside, but you don't here a lot about it. And so, our community, I think, is it's a little bit concerned about, you know, does the level of investment go down? Does all of our ability to promote that product, does that, do we start to back off of that? And of course, we have not done that at all, and in fact, what we've seen is that our community loves the Adobe acquisition. They see opportunity just as clearly as we do. We have more than triple-digit growth in the number of community contributions coming in to us since the acquisition last year. It is a clear sign that the ecosystem is fully on board with where we're going. >> Right. Well clearly the Adobe Suite provides so much gunpowder to power the commerce that's been at the core of Magento from the beginning. I mean it almost begs the question, why didn't this happen a long, long time ago? >> I think there's something to be said about that, and, but you know what, it took Adobe a while. They picked the right platform. We're very confident of that, and, you know, their investment in community is actually paying off on the Adobe side, right. When you think about digital experience products, they (Adobe) are now more active than ever in open source projects. We've got, you know, folks from Adobe Experience Manager that are writing code and contributing to Magento, which is, it's absolutely terrific. And they're now talking about how do we get the ability to kind of create that contribution mechanism and at least create a platform concept where, you know, everybody plays. It's an equal playing field. You can serve us small, you can serve us large. And it just brings everybody together to solve these common, complex problems that are joint merchant's face. >> I don't know how many times you've been on stage in the last few days but, a couple. But one of the things you really, you know, (pounding) you didn't pound on the table but you basically pounded on the table, is that we are still, totally, 100% behind SMB. >> Jason: Absolutely. >> It's our core. We're not giving that up. >> We built this market together, right. This was what made Magento what it is. It's where we play the best. We know it better than anybody else in the industry, and we're not retreating. We're doubling down. We've got ground to take in the mid-market, and I can't wait to do it. >> Right, but what's wild is you're enabling the mid-market, to compete with the tools of the big guys. So, announcements are on the integration with Amazon, announcements are on integration with Google. So it's kind of an interesting place for small retailers, small merchants. They've got to compete in this world, so you're really giving 'em an aid, an opportunity to both play in what might be a big competitor as well as leverage that ecosystem and assets as well as doing it within their own brick and mortar or their own site . >> And that's a terrific point. I think one of the reasons we do that is we've seen consumer expectations rising through the roof, right. I mean, everything from, you know, fast shipping is now one-day. And it wasn't very long ago that fast shipping, if you could get it within a week, that was pretty darn quick. >> Jeff: Right. >> But now fast shipping is one day, and that's across the board. Consumers are expecting frictionless payment. They're expecting, you know, buy online, pick up in-store, omni-channel capabilities. Really all of these capabilities. And a consumer, a shopper, really doesn't care whether you're big or small. What they care about is the experience that the consume when they interact with your brand. And so, bringing the tools of the enterprise to the mid-market allows them to compete on a more level playing field, and that's really where you generate all those great innovation. And that's where you see, you know, these smaller merchants that are really able to, you know, drive into something that, you know, may not have been a core target for some of the larger enterprises, but they find an niche and are able to deliver, but they have the same personalization needs. They have the same logistics needs. All of that has not changed just because they're a smaller organization. And so it's really on us to be able to provide them the tooling and the access to the capabilities that let them compete with the larger merchants. >> No, 'cause you're right. As consumers, which we are every day, we don't care if they're a big or small company, or what technologies that, well, no we do care, to a degree, that we can start something from a mobile phone, have a great seamless experience >> Jason: Yep. >> that's not gonna cause me to churn, because I'm not going to be able to find what I want. I want it to be personalized. I want them to know enough about me in a non-creepy way, as you say. >> That's right. If it's good, it's magic. (Lisa laughing) If it's bad, it's creepy! >> Right, regardless of-- >> That's fair. >> That's for recommendation engines. >> Yeah, no, that's fair. >> And expect that they have what I want. But also what you're doing now is giving these SMBs, these smaller organizations, the ability to harness this sort of symbiotic data power between Adobe and Magento for advertising, analytics, marketing, commerce, to be able to have that wealth of knowledge to make that experience exactly what that consumer expects. >> Exactly right. I mean it's about bringing behavioral data and the transactional data together to really get a 360 degree view of individual customers. And guess what? There's too much raw data there for Excel to ever be able to tell you anything. You've got to rely on things like artificial intelligence and machine learning so that things like Adobe Sensei to really derive insight out of that mass set of data. But that's the way you create those personalized experiences. You have to employ those techniques to get there. >> Right, I just wanted to unpack the Sensei down-spin a little bit, 'cause I think that's really interesting. You know, AI's been a great buzzword. We see it in a lot of places. You know, our Google email now automatically figures out what we want to reply to our email. But it's the integration of AI in applications is where we're really starting to see it come to market early, and this is a great example of, you know, using the Adobe AI inside of Sensei, on specific parts of the application to deliver a better application, a better consumer experience. >> And we've got a great roadmap for rolling out Artificial Intelligence capabilities to Magento commerce. It's one of the largest value adds that we'll do over the next 12 months, is really bringing those capabilities around recommendations, around experience personalization and experience targeting. Around A/B testing. And then you think a little bit into the future, and suddenly you're looking at an AI that can give you pricing recommendations and campaign recommendations, and, you know, that is a, that's a world we cannot wait to really explore fully in the commerce world, because I think that those are the tools, you know Amazon applies a lot of dynamic pricing techniques right now. It's a really expensive process. I don't know a lot of small merchants that have access to the tools to do that. We're bringing those tools to small merchants, and that's gonna change the game fundamentally, I believe. >> And a way that they can do it, almost themselves, rather than having to have a team of resources, which a small business doesn't have. >> And that is the name of the game for small business. You can't require them to have a data science team. You can't require them to have an IT staff or a Web development team. You gotta give them everything they need so that they can focus on retail, what they know best, merchandising to their customers and, you know, managing their inventory, driving up the correct margins and then making sure that they're able to grow the lifetime value of their customers, right? That's the Holy Grail for retail is when you can actually optimize against lifetime value. Because it's the number one thing that all merchants are chasing. >> Yeah, 'cause you had the guy on the keynote yesterday. I'm not in the demographic. I'm trying to remember the name of the-- >> Oh, Troy, Troy Brown from Zumiez! >> From Zumiez, yeah. >> Yeah. >> I thought it was just really interesting, you know, kind of re-thinking retail, right? Retail is not dead, but it's different, and you have to be different. And really to see how they have kind of taken their concept I thought it was pretty interesting, especially around the fact that he has no more fulfillment centers, he said. But basically, they're fulfilling from the store. They want to engage you in the store. It's a convenient thing. Especially now we see Amazon packages are all gettin' stolen off of doorsteps. But, you know, enabling them to be creative around their customer engagement, not necessarily worry about how to run a bunch of A/B tests. They let you do that complicated stuff. >> Let us take on all of the complexity, and then they can actually benefit from the insights derived from that. And what Zumiez have done, it's a phenomenal story, right. I mean, you're going away from this centralized warehouse concept, to really turning all of their stores into distribution centers, right? 704 or so, brick and mortar-strong where, you know, they now have merchandise close to their consumers. They have, you know, the ability to do showcasing, buy online, pick-up in store, all of the omni-channel techniques that are grabbing so much traction right now. And Zumiez has really capitalized. >> Jeff: Right. >> They've done a terrific job, and it's great seeing it come from these really innovative retailers, right? I mean, that show last night with Zumiez was absolutely, you know, fantastic. Their culture is super unique, highly energetic, but they're driving technology forward in a way that you might not expect from a skateboard apparel shop. >> Right, well, they're making Champion cool again. It came out of the Champion, and it was in the demo. I'm like, I didn't know Champion was a cool brand. >> Apparently, it is cool now. >> Jeff: It's cool now. >> You and I are both out of that demographic, (Jeff laughing) but it is a very good story. >> One of the things that we're hearing and seeing is that we talked about personalization and that this expectation, that as consumers, we bring to everything we buy, whatever it happens to be, but also, this sort of, looking at Amazon as an example, of going to brick and mortar from purely online, the acquisition of Whole Foods, people still wanting to have that human interaction. We talk about it all the time when we talk about AI, is that pretty much the common thread is yes, AI, and maybe yes, online to a degree, and then there's still that need and that demand for that personal face-to-face or maybe voice-to-voice interaction. >> Yeah, well, you know, its really for me, it's about taking that brand, you know, experience and making sure that it's resonating across all of your digital properties as well as all of the physical properties, right. It is about really leveraging. My brand experience is consistent across every place that I come encounter my customers, and I'm ready to transact anytime my customers are ready to transact. And when, you know, talking about Amazon. we've announced some really cool stuff this Ad Imagine on Amazon, a partnership. where Amazon sellers can now have a branded storefront on Magento. This is allowing folks that have done a terrific job selling in the market place, where you don't have a lot of opportunity for experience differentiation on the amazon.com site. >> Lisa: Right. >> And it's a terrific marketplace. More than 50% of product searches are starting on Amazon now. So it's a reality that retailers need to find a way to come to grips with. >> Jeff: Right. >> And what I'm really excited about is that those merchants that are doing really well on Amazon now have a new channel where they can create these branded experiences and really start differentiating themselves from their competitors. It's going to be a terrific story. It's Branded Storefronts for Amazon Sellers is the name of the offering. And its going to change the game for folks that have been exclusively Amazon, maybe thinking its too hard to go get an online presence that actually represents my brand. Now its a piece of cake. They've got a clean path to get there, and the capabilities go both ways, right? We also announced Amazon sales channel for Magento commerce that allows you as a branded merchant, to go and participate on the Amazon Marketplace and have full control over your inventory, your orders and all of your catalog. >> It's so funny, you know, we talk about experience but so much of retail execution is actually inventory execution, right? >> [Jason} That's Right. >> It's inventory management. That's where all your money sits. You can get it real upside down really quickly if you're not managing your inventory. And if you don't have the right amount of inventory, especially as you say with same-day delivery now being an expected behavior. And so to add the sophisticated tools on the back and to manage that inventory across that broad, kind of distribution plane, if you will, with all these different points of engagement is so critical to these guys to have any type of chance of success. >> Yeah, it is. It's absolutely critical, and we've also got a Magento order management product that specializes in sort of global inventory control. We've made terrific investments there to bring new capabilities to make sure that those omni-channel aspirations are not something that a merchant has to go invest a whole lot of money and change in their systems. I think it is interesting to think about when you talk about how B2C is really bleeding into B2B, right. As supply chain management, you know, 70% of our B2C merchants, self-described, actually engaged in B2B workflows, and almost all of our B2B-only merchants are really looking at how do I go B2B to C? >> Jess: Right. >> So there's this really great platform play happening, and the fact that Magento commerce and Adobe commerce Cloud can serve us B2B and B2C and all the hybrids in-between really puts us in a differentiated position and helps merchants not have to go invest in multiple platform, multiple maintainability and then find some way to reconcile the inventory between the two. >> Right, and we had a quote earlier today. I can't remember who said it, but I thought it was great where, you know, no longer is the actual transaction the destination. Right, but now you're bringing the transaction to, you know, kind of the journey. It's a very different way to think about a traditional funnel. It isn't the traditional funnel that you work your way down to the end. Now you're inserting commerce opportunities, >> Jason: Yep. >> engagement opportunities all along kind of this content flow. >> We kind of teased ourselves, right, We kinda lied to ourselves and said that, you know, this is a linear journey. And we've all bought into it, right. You know all the steps, right. It's a discovery, awareness, I mean all the way to post-purchase. Its not linear. People move in and out of each of those sections, and so being able to transact where the customer is ready to transact is critically important >> Jeff: Right. >> and then understanding that the post-sale service is the key to lifetime value. That's the other major learning that we're trying to take away from this. And it's why it's important to be at every point your customer is. >> Yeah, it's interesting, 'cause especially with these things, because you don't sit down to work on your phone like we sat down to work at these things. >> Jason: That's right. >> And so your attention, >> Jason: works coming to you. >> it's coming to you, and its coming in little bits. Oh, and by the way, there's a whole bunch of notifications coming on that can pull you away. >> Jason: Yeah. >> So they're very different challenges in terms of actual engagement when this is the primary vehicle. >> And increasingly, it is the primary vehicle, right? >> Jess: Absolutely. >> More than 50% of traffic to retail, e-commerce site is generated from a mobile phone, and there are emerging markets where that is the only internet-connected device, and so it's the standard. You absolutely have to take mobile very seriously. There's a great set of technologies coming online to help us get there. It's called Progressive Web Application. It's going to change the game on how mobile is treated as a device, and in fact, it gets rid of the need for discrete native applications. So instead of having an IOS app, an Android app, a desktop storefront, a mobile storefront and maybe a tablet storefront, plus your online brick and mortar, now you can actually say, my digital properties are serviced by one set of technology. And that way, when I make a change to one, it shows up in everything. I don't have all these difference code bases to maintain. It's a total cost of ownership, and really, a time-to-market play >> Lisa: I was gonna say, >> across the board. >> faster time-to market for sure. >> Absolutely. Yeah. >> With far less resources. >> Well, and bringing it so that you really have to invest in allowing your merchandisers to merchandise on your digital properties, right? If there is an engineer sitting between your merchandiser and the customer, that time lag and even just trying to get it done, there's so much frustration there. So creating these self-service tools that really allow non-technical merchandisers to go in, make adjustments to how they're selling products across all those channels very, very easily and in one place, that's gonna return a ton of value to our merchants. So its another thing that we're super excited about. >> No, you deliver that consistent experience that the consumer is expecting, and then, we were talking to PayPal earlier, start to help companies close that revenue gap of getting them from mobile to, you know, wanting to transact and making that whole process seamless. >> There's a nine billion dollar opportunity in closing the mobile gap. When you think about abandoned cards and folks that begin the checkout process for whatever reason, likely they get frustrated and don't want to type in their credit card number or don't want to type in their address, and then they move to another device or another store that's doing checkout in a more frictionless way, the nine billion dollar opportunity if you close that. >> Wow, that's huge! >> So its incredibly important. >> It is incredibly important. Well Jason, we wish we had more time, but we thank you so much for stopping by theCUBE and talking with Jeff and Me. Such an exciting time. Sounds like developers are feeling embraced. The community is happy. Customers are reacting well. So we can't wait to hear whats next, next year. >> This is the best place to be in the world in commerce. Thank you guys so much for having me on. It's always a pleasure, and I've enjoyed it a lot. >> Oh, our pleasure as well, Jason. >> Alright, thank you, guys. Thanks, Jason. >> For Jeff Frick, I'm Lisa Martin at Imagine 2019 at the Wynn, Las Vegas. Thanks for watching. (upbeat techno music)
SUMMARY :
Brought to you by Adobe. Jason, you came onto the stage this morning and how that is the future. Continues to be such an important part of who you are It is just something that has to organically happen, And this is a community that you say has grown organically that you can't find anywhere else. in the number of community contributions coming in to us I mean it almost begs the question, I think there's something to be said about that, is that we are still, totally, 100% behind SMB. We're not giving that up. We've got ground to take in the mid-market, So, announcements are on the integration with Amazon, that fast shipping, if you could get it within a week, that are really able to, you know, drive into something that we can start something from a mobile phone, because I'm not going to be able to find what I want. If it's good, it's magic. the ability to harness this sort of symbiotic data power to ever be able to tell you anything. and this is a great example of, you know, using the Adobe AI and that's gonna change the game fundamentally, I believe. rather than having to have a team of resources, And that is the name of the game for small business. Yeah, 'cause you had the guy on the keynote yesterday. and you have to be different. They have, you know, the ability to do showcasing, was absolutely, you know, fantastic. It came out of the Champion, and it was in the demo. of that demographic, (Jeff laughing) is that pretty much the common thread is it's about taking that brand, you know, experience So it's a reality that retailers need to find a way that allows you as a branded merchant, And so to add the sophisticated tools on the back are not something that a merchant has to go invest and helps merchants not have to go invest that you work your way down to the end. kind of this content flow. and said that, you know, this is a linear journey. is the key to lifetime value. because you don't sit down to work on your phone that can pull you away. So they're very different challenges and so it's the standard. Yeah. Well, and bringing it so that you really have to invest that the consumer is expecting, and then, and then they move to another device or another store but we thank you so much for stopping by theCUBE This is the best place to be in the world in commerce. Alright, thank you, guys. at the Wynn, Las Vegas.
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Anita Andrews, Magento | Magento Imagine 2018
(upbeat music) >> Narrator: Live from the Wynn Hotel in Las Vegas, it's theCUBE, covering Magento Imagine 2018. Brought to you by Magento. >> Welcome back to theCUBE's continuing coverage of Magento Imagine 2018 from Las Vegas. I'm Lisa Martin, joined by Anita Andrews, the director of analytical services at Magento. Anita, welcome to theCUBE. >> Hi, Lisa. How are you? (laughs) >> Very good, excited to be here. This is a really interesting topic, commerce. We talk a lot on theCUBE about digital transformation in so many different contexts. But really, it seems that commerce is becoming the center of gravity for digital transformation. Data is everywhere. There's so much opportunity for B to B organizations, B to C organizations, to leverage that data to drive new revenue streams, et cetera. Talk to us about what Magento is doing with respect to BI and how you're enabling your customers to use it to better their businesses. >> Yeah, so, I'm so glad that you sort of asked this question because we're doing a lot of conversations at this Imagine as opposed to previous ones around BI, around analytics, the role of data. And it's because I think we have a conversation and a story to tell around this. It's actually been long in the making. So, what we've learned after working with thousands of clients, from the basics of KPIs and reporting all the way up to machine learning, is that the approach to how do you launch this aspect of the business, really, that powers the entire business, is so important. Because otherwise, you end up with a crazy Christmas tree of solutions and no one really is moving the KPIs of the business forward using data. So, what we are doing is, we've created an infrastructure that allows all kinds of data. Whatever data that you have. It could be in a spreadsheet or it could be an automated feed. To come together into the platform to cleanse it, because everybody has dirty data, cleanse it, sort of model it for your use, and then be able to leverage it for, of course, KPIs reporting, but also run advanced data science on it, and then use that to power the commerce. And not just cross-sales and up-sales on the website, that's a story everybody wants to do and many aren't even doing yet, but also for things like email marketing, for online advertising, for vendor management, for inventory management. I mean, there's so many use cases. So, it's really about bringing the data together into a single place and then using that all throughout the organization. >> So, this is the eighth Magento Imagine. >> Anita: It's my first! (laughs) >> Mine too, ours too, at theCUBE! But you were saying that this is, the topic of business intelligence, is relatively new. Tell us, the role of data, you mentioned a number of use cases and multiple lines of business in an organization that can benefit from this. Why is this something that you think now is becoming so critical when 'big data' as a term has been around for quite some time? >> For a long time, and data has been around for a long term, right, everybody has spreadsheets from years back. I don't think it's that the role of data is becoming more important, per se, but I think that a lot of businesses have tried a lot of things and had sort of spotty successes, so online marketing is a lot better now with data. Right, I mean, absolutely. But this notion that there's these silos across the organization and the whole, I'm sure you guys have talked about this either today or yesterday, the whole customer-centric view that is becoming so vital to the business >> It's essential. online, offline, multi-channel. Well, the only way you do that is if you don't have silos. Right, and so this question of how do we bring all of this together and create the customer-centric view, and, by the way, you know, apply AI to many aspects of the customer experience, it can only happen if we sort of elevate the usage, the consolidation, all of that, and so I think that's a bigger problem. It's easy to kind of have a team work with data on its own. It's much more, it requires a lot more thought to kind of bring it all together and also get going, right? This isn't a a four-year plan to get there. You need to get going soon. >> Exactly, or you risk falling behind and not being able to catch up. So, let's talk about this modern stack. >> Anita: Yeah. >> This modern technology stack to capitalize on the e-commerce opportunities. Give us an example of a B to B organization, what they have existing when Magento comes and how they're able to use your technology across that spectrum of BI. >> Sure, so, most B to B organizations have data. Let's list some common sources of that data, right. So, first of all, they're going to have, most likely, Salesforce or some other sort of CRM database. They're going to have some sort of vendor database, right, either using a third-party tool or something they've home-grown. So often, something they've home-grown. They certainly have online marketing data, they've got transactional data, all of these different things that need to come together. So, in that way, they can leverage the MBI product, Magento Business Intelligence, to bring those data sources in together. Also, they can bring in their spreadsheets or whatever. But you use MBI to bring it together and then there's a level within that stack, the transformation layer, that allows you to sort of edit that data, right. I mean, back to the point of dirty data, edit it so that it's clean. So, you know that, well, in March we were wrongly charging shipping or something like that. Whatever the issues were, cleansing. And then start to report on that within MBI and create whatever sort of analytics you need to. But then you can also incorporate machine learning algorithms to start doing things like predictive analytics. So, start doing this vendor management, et cetera and then use that to, actually, MBI comes with some pre-built B to B dashboards, which is a thing that we just launched in the past year, which is also proving very useful. I mean, businesses have never seen this sort of total view of their customers, their data. And then you take, sort of, some of the learning and some of the information that's in the MBI and then use that to configure personalization Magento 2 commerce or, again, some of these other channels which might be email marketing, which might be, you know, call center scripting. I mean, whatever it is, that's kind of how it comes together. The MBI stack powering Magento 2, whether it's cloud or enterprise, and then other third-party tools that make sense to the customer as well. >> So, the customer has an existing POS system or an ERP system or a web store. Is it a simple integration process? How do they go about integrating that with, especially with, an accent group is coming on later today that has a hundred thousand skews and three thousand products. >> Yeah, so, the aim and the aspiration of MBI is to be able to take any data source, right. So, there's a bunch of data sources for which we have automated integrations. Literally, you put in your credentials and it starts flowing right away. Another option is that you have an API that you can use to import data in, so, if you've got the resources to leverage that, that's an option. Sometimes, if we don't have an automated integration, a lot of third-party data sources now will allow you to put them in a MySQL database or something like that. You can just just connect that directly to MBI, as well. And finally, we're very much looking at, from a product standpoint, how do we leverage the incredible community we have around Magento to develop more integrations, right. Because we cannot keep pace with the thousands and thousands of data sources that are launching every day. So, this community can and they are so close to what customers need to be able to bring in from a data perspective, so, we're also exploring that possibility as well, which would completely change the game. >> Yeah, you've got a very active developer community of, what, three hundred thousand developers? >> Yeah, it's something phenomenal like that. >> Lisa: That is phenomenal. >> Yes. >> When we look at the spectrum of analytics and we get towards the, whichever end it is, the right side, the left side, looking at advanced analytics. >> Anita: Yes. >> Artificial intelligence, for example, can you give us an example of a Magento customer that's being able to utilize artificial intelligence to drive new revenue streams or reduce attrition. Anything that comes to mind that's a really strong hallmark of your capabilities? >> Yeah, so, one of the ones that I love the most is around inventory management. And that applies to B to B and B to C, right. So, one of the things that we're starting to see a lot of traction and results around is advanced analytics and machine learning that's predicting how much inventory you have. So, inventory is money. You don't have enough, you're going to lose your customers. If you have too much, that's dollars sitting on the shelf, right, or accounts payable to your vendors, I mean, whatever it is. So, it is so, traditionally, it's been very hard to predict what you're going to need and when you're going to need it. So, there is now capability within MBI that you can feed into your vendor management or other sorts of merchandising management systems wherein you can sort of say, if you have a two week lead time to be able to get new inventory, then it can predict which of your skews, which of your products, are going to be running out before that two weeks end. And what we've seen with customers that are leveraging that is incredible increase in customer satisfaction rates because that sort of mismatch of, I thought I was going to get this but no, I'm not getting this, is going down. But they're also able to not even have to say it's out of stock on the site, which is a such a disappointing factor. So, improvement in conversion rates and customer satisfaction rates and on the flip side, there's another aspect of that functionality that says, well, do you have more inventory than, let's say, you know, two months' worth? And that two months piece is configurable per business, because if you're an outdoor goods store, two months in March for winter stuff is too late, right? You need to get rid of that now. But at the start of winter, four months might be great. So, all of that is totally configurable to be customized to that business, who knows the particulars of their business so well. And so, what we're seeing there is the, sort of, cost of goods that are being sent into after-market channels or sale or discount channels, is going down dramatically. And that's just a great case that I love because it's applicable, like I said, to B to B and B to C. >> So, on a B to B front, we have a lot of businesses behind us here. >> Anita: Yeah. >> As consumers, we expect to be able to get whatever we want whenever we want. Amazon just announced a hundred million Amazon Prime subscribers >> That's a lot of people. And people will not buy something if it's not available on Amazon Prime. We just think, what? We have to wait a week? >> Must not be a thing. (laughs) >> Exactly, exactly. But also something that the gentleman that was on main stage this morning from Amazon said, that about half of what's purchased on Amazon isn't sold by Amazon. >> Anita: Yeah. >> So, in the consumer space, we have this bar set very, very high. As business buyers, business buyers are consumers in their daily lives, as well. >> Anita: Yeah. I wonder, what are some of the trends that you're seeing on the B to B side that are maybe spilling over or being influenced by the consumer side and how is Magento helping businesses to be able to create these seamless experiences for businesses to transact in a high-velocity, low-touch model? >> Yeah, that's a really good question. You and I were talking before we got started here about how the buyers in a B to B environment, they're not a corporation. They're individuals. They're humans that actually are bringing their B to C personal experiences and expectations into their workplace. I mean, they don't turn into another person, right. They're maybe harder for procurement, you know, channels and all of that, but they're bringing the same expectations into it. So, frankly, you know, while Magento has sort of a B to B focused technology commerce platform, as well, that we've launched and is growing, as does MBI, you know, that will be a growing aspect, a particularization of the Magento platform. On the flip side, what we're also doing is saying they're not different and we're setting high standards for our B to B customers to say, it may be more challenging for you to act like a B to C customer, but that doesn't mean you get to, it may be hard for you to act like a B to C business, but that doesn't mean you get to not act like one, right, because the expectations are there. So, things like, whether it's as simple as what is order management, right, what is order tracking, what are ship and delivery timelines look like? Do I have various payment mechanisms, right? Consumers expect that, right, and those are often geographically dictated. Well, in the business environment, there may be other sort of procurement things to be thoughtful of. So, the conversation we're having, whether it's from a services standpoint or from a technology and product standpoint is have the same standards. And that is, frankly, in the conversations that I have day to day, I get a lot of but buts. You know, but, that's hard for us. Yeah, but so? Right, so let's figure this out. And, of course, you have to prioritize and all of that, you're not going to sort of turn from one end to the other overnight, but really, the message that we are seeing successful B to B customers hear and act upon is meet those consumer expectations and you'll knock it out of the park. >> Lisa: And who doesn't want to do that? >> Right. >> So, let's kind of turn the tides here. Let's look at Magento and how you're using your own technologies. How are you using analytics across that spectrum to really change the entire model? For example, you know, we talked about before we went on, as well, marketing. I'm a marketer. Marketing is a science now because marketers and every line of business has the ability to leverage data to drive many new opportunities. Talk to us about, internally, how you guys are using this spectrum of analytics >> Yeah. to continue to expand in B to B and B to C. >> Yeah, so, I'm going to give you a couple of different use cases, but this will be interesting because we're sort of opening up the kimono here about what goes on, you know, in our offices. So, yesterday, I actually heard our head of development, Ramadass, talk about a use case for using Magento BI within his organization. All of his different many development teams were tracking their tickets and numbers and all of that in various different ways and he sort of came in and said, well, this isn't going to work. I can't measure my organization. And he decided to deploy Magento BI across the whole thing. That wasn't easy, he said it wasn't smooth, but he started with one group who sort of took to it, and then once the benefit started to be seen, started to deploy across all the organization and he said, you know, he had the foresight and patience to stick with it and now he's got, you know, consistent view of what's going on there in the organization. Another angle that we use it from is, for example, with Mangento BI, there's certainly, it's different than implementing Magento Commerce, where, well, maybe it's not that different, but one aspect that I think is different is you do a lot of work to launch Magento Commerce and then, yes, you can expand your use a bit. MBI is pretty quick to get going, but how much you're using it throughout your organization or even within the product takes time. So, we've leveraged our predictive analytics to understand, to track those customer behaviors, and understand, well, when might be a good time to talk to them about, you know, machine learning? When might be a good time to talk to them about, you know, inventory management, whatever those topics are. But we're looking at those customer attributes, how far along are they in MBI, to run our online marketing campaigns, but even our personal marketing campaigns. We're not so big that we can't call up in our own customer success experiences and say, we think you're in a good place where you might want to think about doing this, as well. And then a third place is around customer support, so, a couple years ago, we used the product to figure out how much time were we spending on our customers, right? And there's a notion of a rate per hour. Are we allocating our time properly? It's very easy for the squeaky wheel to get the most attention. Is that the right thing for the business? So, these are the ways that we've used it internally. We're B to B, right? (laughs) >> Right! Would it be fair to say that you're democratizing data within Magento? >> Yes, everybody, I can at least speak to it on the MBI side and I know this is true in development, et cetera, everybody has access to the data. And that's kind of where, watching, you know, an individual contributor take that and run with it and sometimes it's a little bit too eager for me, and then I have to kind of dial it back, and we can't make all those changes today, but it is so impressive to see what they think about asking, what questions they think about asking of the business and that they feel like will solve an actual problem. >> So, kind of allowing innovation. Well, Anita, thank you so much for taking some time >> Yeah, thank you. to stop by theCUBE. We wish you the best of luck in your general session presentation this afternoon and we look forward to hearing from some of your customers and some of your leaders on the program later today. >> Great, thank you, Lisa. >> We want to thank you for watching theCUBE. We are live in Las Vegas at Magento Imagine 2018. Stick around, I'm Lisa Martin. We'll be back with our next guest after a short break. (upbeat music)
SUMMARY :
Brought to you by Magento. Welcome back to theCUBE's How are you? for B to B organizations, to how do you launch this But you were saying that the organization and the and, by the way, you know, and not being able to catch up. a B to B organization, that make sense to the customer as well. So, the customer has that directly to MBI, as well. Yeah, it's something end it is, the right side, Anything that comes to And that applies to B So, on a B to B front, expect to be able to get We have to wait a week? Must not be a thing. But also something that the So, in the consumer space, on the B to B side that how the buyers in a B to B environment, to drive many new opportunities. in B to B and B to C. the benefit started to be for me, and then I have to Well, Anita, thank you so much for taking to stop by theCUBE. We want to thank you
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Jack Berkowitz, Oracle - Oracle Modern Customer Experience #ModernCX - #theCUBE
(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're live in Las Vegas here at the Mandalay Bay for Oracle's Modern Customer Experience conference, their second year. This is the CUBE, Silicon ANGLES flagship program. We go out to the events and extract the signal from the noise. I'm John Furrier. My co-host Peter Burris, head of research at Wikibon.com. Our next guest is Jack Berkowitz who's the Vice President of Products and Data Science at Oracle. Well, great to have you on the CUBE. Thanks for coming on. >> Thanks a lot. >> Appreciate it. Love talking to the product guys, getting down and dirty on the products. So, AI is hot this year. It's everywhere. Everyone's got an AI in their product. What is the AI component in your product? >> Well, what we're working on is building truly adaptive experiences for people. So, we have a whole bunch of different techniques and technologies all of it comes together essentially to create a system that amplifies peoples capabilities. That's really the key thing. Two real important components. First of all, it's all about data. Everybody talks about it. Well, what we've put together is, in terms of consumers, is the largest collection of consumer data in the Oracle data cloud. So we take advantage of all that consumer data. We also have a lot of work going on with collecting business data, both Oracle originated data as well as partner data. We're bringing that all that together and it sets the context for the AI. Now on top of that we have not just the latest trends in terms of machine learning or neural networks or things like that, but we're borrowing concepts from advertising, borrowing concepts from hedge funds so that we can make a real-time system. It's all about real-time. >> You mentioned neural networks. A lot of stuff conceptually in computer science has been around literally for decades. What is, from your definition - obviously cloud creates a lot of data out there now, but what is AI these days? Because everyone now is seeing AI as a mainstream term. Even the word metadata, since Snowden's thing, is now a mainstream term. Who would have thought metadata and AI would be talked about at kitchen tables? >> Yeah. >> What is AI from your perspective? >> Yeah, from my perspective it's really about augmenting folks. It's really about helping people do things. So maybe we'll automate some very manual tasks out, right, that will free up people to have more time to do some other things. I don't think it's about replacing people. People are creative. We want to get people back to being creative and people are great at problem solving so let's get them that information. Let's get them aid so they can get back to it. >> And give them options. >> Give them options, exactly. Exactly. You know, if you can free up somebody from having to manipulate spreadsheets and all this other stuff so they can just get the answer and get on with things, people are happier. >> So Oracle is using first-person data and third-person data to build these capabilities, right? >> Jack: Yeah, exactly. >> How is that going to play out? How is Oracle going to go to a customer and say we will appropriately utilize this third-person data in a way that does not undermine your first-person rights or value proposition? >> That's a great question. So, privacy and respect has been sort of the principle we've been driving at here. So there's the mechanics of it. People can opt in. People can opt out. There's all the mechanics and the regulatory side of it but it's really about how do you use these things so that it doesn't feel creepy. How do you do this in a subtle way so that somebody accepts the fact that that's the case? And it's really about the benefit to the person as to whether or not they're willing to make that trade-off. A great example is Waze. Waze I use all the time to get around San Francisco traffic. You guys probably use it as well. Well, guess what? If you really think about it, Waze knows what time I leave the house in the morning, what time I come home. Uber knows that once a month I leave at 2:00 on a Sunday and come back a week later. So, as long as you think about that, I'm getting a benefit from Waze I'm happy to have that partnership with them in terms of my data and they respect it and so therefore it works. >> And that comes back to some of the broader concepts of modern customer experience. It is that quid pro quo that I'll take a little data from you to improve the service that I'm able to provide as measured by the increasing value customer experience that's provided. >> Yeah, that's right. I used to live in London and in London there's these stores where you can go in and that sales guy has been there for like twenty years and you just develop a relationship. He knows you. He knows your kids, and so sure enough, stationary store or whatever it is and he gives you that personal experience. That's a relationship that I've built. That really all we're trying to do with all of this. We're trying to create a situation where people can have relationships again. >> And he's prompted with history of knowing you, just give you a pleasant surprise or experience that makes you go wow. And that's data driven now. So how do you guys do that? Cause this is something that, you know, Mark Heard brought up in his keynote that every little experience in the world is a data touchpoint. >> Jack: Yeah. >> And digital, whatever you're doing, so how do you guys put that in motion for data because that means data's got to be freely available. >> Data's got to be freely available. One of the big things that we brought to bear with the Suite X is that the data is connected and the experiences are connected so really we're talking about adding that connected intelligence on top of that data. So, it's not just the data. In fact we talked about it last night. It's not just the data even from the CX systems from service, but even the feed of what inventory's going on in real-time. So I can tell somebody if something's broken, hey, tell you what. This store has it. You can go exchange it, in real-time. Instead of having to wait for a courier or things like that. So it is that data being connected and the fact that our third-party data, you know this consumer data, is actually connected as well. So we bring that in on the fly with the appropriate context so it just works. >> So one of the new things here is the adaptive intelligence positioning products. What is that and take a minute to explain the features of how that came to be and how it's different from the competition. >> Okay, great. So the products are very purposeful built apps that plug in and amplify Oracle cloud apps and you can actually put in a third-party capability if you happen to have it. So that's the capability and it's got the decision science and machine learning and the data. >> Peter: So give me an example of a product. >> So a product is adaptive intelligence offers which we were showing here. It gives product recommendations, gives promotions, gives content recommendations on websites but also in your email. If you go into the store you get the same stuff and we can then go and activate advertising campaigns to bring in more people based on those successful pick ups of products or promotions. Its a great example. Very constrained use case addressed? >> Peter: Fed by a lot of different data. >> Fed by a lot of different data. The reason why they're adaptive is because they happen in real-time. So this isn't a batch mode thing. We don't calculate it the day before. We don't calculate it a week before or every three hours. It's actually click by click for you, and for you, reacting and re-scoring and re-balancing. And so we can get a wisdom of the crowds going on and an individual reaction, click by click, interaction by interaction. >> This is an important point I think that's nuanced in the industry. You mentioned batch mode which talks about how things are processed and managed to real-time and the big data space is a huge transition whether you're looking at hadoop or in memory or at all the architectures out there from batch data lakes to data in motion they're calling it. >> Yeah, exactly. >> So now you have this free flowing scalable data layers, if you will, every where, so being adaptive means what? Being ready? Being ... >> Being ready is the fundamental principle to getting to being adaptive. Being adaptive is just like this conversation. Being able to adjust, right? And not giving you the same exact answer seven times in a row because you asked me the same question. >> Or if it's in some talking point database you'd pull up from a FAQ. >> Peter: So it adapts to context. >> It's all about adapting to context. If the concepts change, then the system will adopt that context and adapt it's response. >> That's right. And we were showing last night, even in the interaction, as more context is given, the system can then pick that up and spin and then give you what you need? >> The Omni Channel is a term that's not new but certainly is amplified by this because now you have a world certainly with multiple clouds available to customers but also data is everywhere. Data is everywhere and channels are everywhere. >> Data is everywhere. And being adaptive also means customizing something at a point and time >> Exactly. and you might not know what it is up until seconds or near real-time or actually real-time. >> Real time, right? Real human time. 100 milliseconds. 150 milliseconds, anywhere in the world, is what we're striving for. >> And that means knowing that in some database somewhere you checked into a hotel, The Four Seasons, doing a little check in the hotel and now, oh, you left your house on Uber. Oh, you're the CEO of Oracle. You're in a rental car. I'm going to give you a different experience. >> Jack: Yeah. >> Knowing you're a travel warrior, executive. That's kind of what Mark Heard was trying to get to yesterday. >> Yeah, that's what he's getting to. So it's a bit of a journey, right? This is not a sprint. So there's been all this press and you think, oh my god, if I don't have ... It's a journey. It's a bit of a marathon, but these are the experiences that are happening. >> I want to pick up on 150 milliseconds is quite the design point. I mean human beings are not able to register information faster than about 80 milliseconds. >> Jack: Yeah, yeah. So you're talking about two brain cycles coming back to that. >> Jack: Yeah. >> I mean it's an analogy but it's not a bad one. >> Jack: No. >> 150 milliseconds anywhere in the world. That is a supreme design point. >> And it is what we're shooting for. Obviously there's things about networks and everything that have to be worked through but yeah, that responsiveness, but you're seeing that responsiveness at some of the big consumer sites. You see that type of responsiveness. That's what we want to get to. >> So at the risk of getting too technical here, how does multiple cloud integration or hopping change that equation? Is this one of the reasons it's going to drive customers to a tighter relationship with Oracle because it's going to be easier to provide the 150 millisecond response inside the Oracle fabric? >> Yeah, you nailed it. And I don't want to take too many shots at my competitors, but I'm going to. We don't have to move data. I don't have to move my data from me to AWS to some place else, right, Blue Mix, whatever it happens to be. And because we don't have to move data, we can get that speed. And because it's behind the fabric, as you put it, we can get that speed. We have the ability to scale the data centers. We have the data centers located where we need them. Now your recommendations, if you happen to be here today, they're here. They may transition to Sydney if you're in Australia to be able to give you that speed but that is the notion to have that seamless experience for you, even for travelers. >> That's a gauntlet. You just threw down a gauntlet. >> Jack: I did. Yeah. >> And that's what we're going to go compete against. Because what we're competing is on the experience for people. We're not competing on who's got the better algorithm. We're competing on that experience to people and everything about that. >> So that also brings up the point of third-party data because to have that speed certainly you have advantages in your architecture but humans don't care about Oracle and on which server. They care about what's going on on their phone, on their mobile. >> Jack: That's right. >> Okay, so the user, that requires some integration. So it won't be 100 percent Oracle. There's some third-party. What's the architecture, philosophy, guiding principles around integrating third-party data for you guys. Because it's certainly part of the system. It's part of the product, but I don't think it's ... >> So there's third=party data which could be from data partners or Oracle originated data through our Oracle data cloud or the 1500 licensed data partners there and there's also third-party systems. So for example if somebody had Magento Commerce and they wanted to include that into our capability. On the third party systems, we actually have built this around an API architecture or infrastructure using REST and it's basically a challenge I gave my PMs. I said look, I want you to test against the Oracle cloud system. I want you to test against the Oracle on-prem system and I want you to find the leading third-party system. I don't care if it's sales force or anybody else and I want you to test against that and so as long as people can map to the REST APIs that we have, they can have inter-operation with their systems. >> I mean the architectural philosophy is to decouple and make highly cohesive elements and you guys are a big part of that with Oracle as a component. >> Jack: That's right. >> But I'm still going to need to get stuff from other places and so API is a strategy and microservices are all going to be involved with that. >> Yeah, and actually we deployed a full microservice architecture so behind the scenes on that offers one, 19 microservices interplaying and operating. >> But the reality is this is going to be one of the biggest challenges that answers faces is that how we bridge, or how we gateway, cloud services from a lot of different providers is a non-trivial challenge. >> Jack: That's right. >> I remember back early on in my career when we had all these mini computer companies and each one had their own proprietary network on the shop floor for doing cell controllers or finance or whatever it might be and when customers wanted to bring those things together the mini computer companies said, yeah, put a bridge in place. >> Yeah, exactly. >> And along came TCPIP and Cisco and said forget that. Throw them all out. It wasn't the microprocessor that couldn't stick to those mini computer companies. It was TCPIP. The challenge that we face here is how are we going to do something similar because we're not going to bridge these things. The latency and the speed, and you hit the key point, where is the data, is going to have an enormous impact on this. >> That's right. And again, the investments we have been making with the CX Cloud Suite will allow us to do that. Allow us to take advantage with a whole bunch of data right away and the integration with the ODCs, so we couldn't probably have done this two or three years ago because we weren't ready. We're ready now. And now we can start to build it. We can start to take it now up to the next level. >> And to his point about the road map and TCPIP was interesting. We're all historians here. We're old enough to remember those days, but TCPIP standardized the OSI model which was a fantasy of seven layers of open standards if you remember. >> Jack: Seven layers, yep, whew. >> Peter: See we still talk about it. >> What layer are you on? >> But at the time, the proprietary was IBM and DEC owned the network stacks so that essentially leveled off there so the high-water mark was operating at TCPIP. Is there an equivalent analog to that in this world because IF you can almost take what he said and say take it to the cloud and say look at some point in this whatever stack you want to call it, if it is a stack, there has to be a moment of coalescing around something for everybody. And then a point of differentiation. >> So yeah, and again I'm just going to go back - and that's a great question by the way and it's - I'm like thinking this through as I say it, but I'm going to go right back to what I said. It's about people. So if I coalesce the information around that person, whether that person is a consumer or that person's a sales guy or that person's working on inventory management or better yet disaster relief, which is all those things put together. It's about them and about what they need. So if I get that central object around people, around companies then I have something that I can coalesce and share a semantic on. So the semantic is another old seven layer word. I didn't want to say it today but I can have ... >> Disruptive enabler. >> So then what you're saying is that we need a stack, and I use that word prohibitively, but we need a way of characterizing layer seven application so that we have ... >> Or horizontal >> Either way. But the idea is that we need to get more into how the data gets handled and not just how the message gets handled. >> Jack: That's right. >> OSI's always focused on how the message got handled. Now we're focused on how the data gets handled given that messaging substraight and that is going to be the big challenge for the industry. >> Jack: Yeah. >> Well, certainly Larry Ellis is going to love this conversation, OSI, TCPIP, going old school right here. >> Jack: Like you said, we're all old and yeah, that's what we grew up in. >> Yeah, but this is definitely ... >> Hey, today's computers and today's notions are built on the shoulders of giants. >> Well the enabling that's happening is so disruptive it's going to be a 20 or 30 year innovation window and we're just at the beginning. So the final question I have for you Jack is summarize for the folks watching. What is the exciting things about the AI and the adaptive intelligence announcements and products that you guys are showing here and how does that go forward into the future without revealing any kind of secrets on Oracle like you're a public company. What's the bottom line? What's the exciting thing they should know about? >> I think the exciting thing is that they're going to be able to take advantage of these technologies, these techniques, all this stuff, without having to hire a thousand data scientists in a seven month program or seven year program to take advantage of it. They're going to be able to get up and running very, very quickly. They can experiment with it to be able to make sure that it's doing the right thing. From a CX company, they can get back to doing what they do which is building great product, building great promotions, building a great customer service experience. They don't have to worry about gee, what's our seven year plan for building AI capabilities? That's pretty exciting. It lets them get back to doing what they do which is to compete on their products. >> And I think the messaging of this show is really good because you talk about empowerment, the hero. It's kind of gimmicky but the truth is what cloud has shown in the world is you can offload some of those mundane stuff and really focus on the task at hand, being creative or building solutions, or whatever you're doing. >> Yeah. Mark was talking about it. You have this much money to spend, what's my decision to spend it on. Spend it on competing with your products. >> All right, Jack Berkowitz live here inside the CUBE here at Oracle's Modern Customer Experience, talking about the products, the data science, AI's hot. Great products. Thanks for joining us. Appreciate it. Welcome to the CUBE and good job sharing some great insight and the data here. I'm John Furrier with Peter Burris. We'll be back with more after this short break. (upbeat music)
SUMMARY :
Brought to you by Oracle. Well, great to have you on the CUBE. What is the AI component in your product? and it sets the context for the AI. Even the word metadata, since Snowden's thing, Let's get them aid so they can get back to it. from having to manipulate spreadsheets And it's really about the benefit to the person And that comes back to some of the broader concepts or whatever it is and he gives you that personal experience. that every little experience in the world got to be freely available. One of the big things that we brought to bear What is that and take a minute to explain the features and machine learning and the data. to bring in more people based on those successful pick ups We don't calculate it the day before. and the big data space is a huge transition So now you have this free flowing scalable data layers, Being ready is the fundamental principle Or if it's in some talking point database If the concepts change, then the system will adopt and then give you what you need? available to customers but also data is everywhere. Data is everywhere. and you might not know what it is 150 milliseconds, anywhere in the world, I'm going to give you a different experience. to get to yesterday. So there's been all this press and you think, is quite the design point. coming back to that. 150 milliseconds anywhere in the world. that have to be worked through but yeah, but that is the notion to have that seamless experience That's a gauntlet. Jack: I did. We're competing on that experience to people because to have that speed certainly It's part of the product, but I don't think it's ... and so as long as people can map to the REST APIs I mean the architectural philosophy is to decouple and microservices are all going to be involved with that. full microservice architecture so behind the scenes on But the reality is this is going to be one on the shop floor for doing cell controllers or finance The latency and the speed, and you hit the key point, And again, the investments we have been making And to his point about the road map and say take it to the cloud and say look and that's a great question by the way so that we have ... But the idea is that we need to get more OSI's always focused on how the message got handled. to love this conversation, OSI, TCPIP, Jack: Like you said, we're all old and yeah, are built on the shoulders of giants. and how does that go forward into the future without It lets them get back to doing what they do in the world is you can offload some of those mundane stuff You have this much money to spend, and the data here.
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