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Ronen Schwartz, Informatica | CUBEConversation, April 2019


 

>> From our studios in the heart of Silicon Valley, Palo Alto, California. This is a CUBE Conversation. >> Hi everyone, welcome to this CUBE Conversation here in Palo Alto, I'm John Furrier. Host of theCUBE here in theCUBE studios. I'm joined with Ronen Schwartz. Senior Vice President and General Manager of Data Integration and Cloud Integration at Informatica, CUBE alumni, been on multiple times, here to do a preview round. Informatica World coming up as well as just catch up. Ronen, great to see you. >> Really happy to see you, you guys have a beautiful place here in Palo Alto. >> I know you live right around the corner so I'm expecting to see you come on multiple times and come in and share your commentary, but I want to get your thoughts, it's been a couple of months since we last chatted, interesting turn of events. If you go back just, you know, September of last year, and then you had Amazon Reinvent. They announced Outpost, multi-cloud starts hitting the scene, first it was hybrid. First it was all public cloud. But now the realization from customers is that this is now a fully blown up cloud world. It's cloud operations, it's just public cloud for unlimited cloud natives activity, on premise for existing workloads, and a complete re-architecture of the enterprise. >> Yes, and I think from Reinvent to Google Next just a week before, I agree with you. It's a world of hybrid and a world of multi-cloud. I think a lot of exciting announcements and a lot of changes, I think from my perspective what I see is that the Informatica customers are truly adopting cloud and hybrid and as data is growing, as data is changing the cloud is the place that they actually address this opportunity in the best way. >> So I know we've talked in the past. Your title is Data Integration, Cloud Integration. Obviously integration is the key point. You're starting to see APIs going to a whole other level, with Google they had acquired Apogee, which is an API marketplace, but with microservices and service meshes and Kubernetes momentum you're starting to see the advent of more programmability. This is a big trend, how is that impacting your world? Because at the end of the day you need the data. >> Yes, it actually means that you can do more things with the data in an easier way and also it means that you can actually share it with more users within the enterprise. I think that especially the whole ability to use containers, and Kubernetes is a great example of how you can do it, it's actually giving you unparalleled scale, as well as simplicity from the obstruction perspective. And it allows more and more developers to build more value from the data that they have. So data is actually in the core. Data is the foundation, and really a lot of this new technology allows you to build up from the data more valuable capabilities. I'm really happy that you're mentioning Apogee because one of the things that Google and Informatica notice together is the need for API to actually leverage data in a better way, and we strike a very strategic partnership that has gone into the market in the last few months allowing every user of Informatica Ipaas to basically publish APIs in a native experience from the Informatica Ipass directly to Apogee and vice versa, everything that you build in Informatica Cloud is basically automatically an API inside Apogee, so users get more value from data faster. >> So can you give an example, 'cause I think this is one of the things we saw at Google as a tell sign or the canary in the cole mine whatever trend parameter is that end to end CICD pipe lining, seamless execution in any environment seems to be the trend. What you're kind of getting at is this kind of cross integration, can you give an example of that Informatica Cloud to Apogee example of benefit to the customer or use case and why that's important. >> Yes, definitely, so if I'm a retailer or a manufacturer, I'm actually looking into automate processes. There is nothing better than deleting the Ipaas from Informatica to actually automate process anything from order to cash or inventory validation or even next best recommendation coming from some AI in the backend. Once you have created this process exposing this process as an API is actually allowing multiple other services. Multiple other capabilities to very easily leverage that, right, so this is basically what we're doing, so what an individual in the retailer is doing is they're actually defining this process of order to cash, and then they're publishing it as an API in one click, at that stage anybody anywhere can very very easily consume that API and basically use this process again and again. >> And that means what? Faster execution of application development? >> It means faster execution of application development. It also means consistency and basically scale so now you don't need to redevelop that. It's available as an API, you can reuse it again and again, so you do it in a consistent way, when you need to update you need to change, you need to modernize this process you modernize it once and use it again and again. >> Sorry to drill down on kind of the unique use case here, but this points to the integration challenges out there and the opportunities. Mentioned Google Next, Google Cloud. You've got a relationship with Amazon. This is part of your strategy for ecosystem. This is critical, integration is becoming Amit Walia was saying that you can compose. Have that foundation for the data and you compose your applications, but if you got to have a lot of composition, you need to have integration points, that's going to be either APIs or some sort of glue layer. This is huge, this is like the entire thesis of cloud architecture. >> Right, and the reality that our customers are facing is basically irrelative from multi-cloud, they will use a best of breed cloud for CRM, a best of breed cloud for ERP as well as a best of breed cloud for their data warehouse, their databases as well as their analytics, AI, et cetera. In that world, the only thing that is kind of common across this cloud is the data. And if you're actually able to allow the data to reside in the best place but you keep the metadata managed centrally by software like the one at Informatica is giving you are getting the best of breed of all of these offerings without actually paying a fine for that. >> So you guys are in a lot of magic quadrants out there in terms of categories of leadership and focus on data from day one. As you talk about your ecosystem, can you explain what that means because you're also an ecosystem partner of cloud players but you also have your own ecosystem. Talk about the ecosystem, how is it laid out? What's the update, what are some of the momentum points, can you share just an overview of how that's all happening? >> Yes, definitely, so when we're looking into our partnership with Microsoft Azure, with AWS, with JCP, we're not talking about just Informatica supporting the technologies that they build, we're talking about Informatica supporting the technologies that they're building as well as their ecosystem of partners. We're talking about an end-to-end solution that supports the entire ecosystem. What that actually translates to is Informatica building services that are giving best of breed experience for users within this cloud environment and really giving you the full power of data management integration, data quality. Master data management, data security. Data catalog across all of this cloud. In a way you're right, we can look at it in the same way as like we have an ecosystem and in that ecosystem we're seeing a lot of strategic partners that are very very large, definitely all of these cloud scales are key partners for us and for our customers, but we're also seeing a huge amount of smaller, innovative vendors that are joining this ecosystem, and Informatica World in May 20th is a great place to come and actually see these vendors. We're actually showing for the first time our AI and cloud ecosystem in one place and these vendors are coming and they're showing how are they leveraging Informatica technology to basically bring new value in AI, in machine learning, in analytics to their customers. If you ask me, like, what is Informatica doing to help them, we're basically making the data available in the best way for their offering, and that kind of allowed them to focus on their innovation rather than how do they work in the different places. >> Rowen, you got ahead of me on the Informatica World question, but you just brought it out, you're doing an innovation. Let's talk about Informatica World. Because again, this data, there's a lot of sessions, so you do the normal thing. We've covered multiple years there. Integration's the key point, what are, why should someone come to Informatica World if they're a customer or a prospect? Now, you mentioned the AI zone. What's the core theme that you're going to be seeing there from your group and from the company? >> Informatica World this year is an amazing place for people to come and see the latest that happens within the cloud and hybrid journey, a great place to actually see next generation analytics and all the innovation there, it is a great place to see customer 360 and master data management and how can that change your organization as well as an amazing place to see data security and data privacy and a lot of other innovations around data. But I would actually say that it's great to see everything that Informatica can share with you. It is a better place to see what our customers and our partners are sharing. And especially from a partnership perspective Informatica World 2019, you're actually going to see leaders from Google, you're going to see leaders from Microsoft, you're going to see leaders from AWS, the people that are leading the best data warehouses in the world the best analytics in the world as well as innovators like DataRobot and Databricks that are changing the world and are actually advancing technology very very fast. >> And the AI zone, there's a cloud and AI zone. I've seen them, I know it's here from the prep. What does that mean, what's someone, AI's going to be hot, I think that's a big theme. Getting clarity around, as Amit kind of shared with us on a previous interview. AI's hot because automation kind of left the blocking and tackling. But the value of creation is going to come from using the data, where's the, and it's not integrated, you can't get the data in. If it's not integrated, you can't leverage machine learning, so having access to data makes machine learning get great. The machine learning gets great, AI is great. So tell us what's going on with it. Give a little sneak preview. >> It's actually amazing what we can do leveraging the iron machine learning today, right? I wake up in the morning and I say Alexa, good morning, and I actually get back what's the weather and what's happening. I'm getting into my car, Google is telling me how fast will I get to the office or the first meeting. I left to come here and I knew exactly what's the best route to take. A lot of that is actually leveraging AI and machine learning, I think it's not a secret that the better your data is the better the machine can learn from the data. And if your data is not good, then learning can actually be really really bad. You know, sometimes I can use, like with my kids. If their learning books are bad, there's no way that they can actually get to the right answer. The same as data, data is so critical. What we're seeing is basically data engineers, data operation becoming a super strategic function to make AI and machine learning even possible. Your ability to collect enough data to make sure that the data is ready and clean for AI and machine learning is critical. And then once the AI and machine learning eventually contributed the automation, the decision making, the recommendation, you have to put it back in to the data pipes so that you are actually able to leverage them to do the right thing. >> You know, you, I think you nailed this one. We've talked about this before but I think more important than ever, data cleansing or data cleaning was always an afterthought in the old data warehouse world where well, we're not getting the answers we wanted so you kind of have to fail to figure out that the data sucks so you had to get the data to be better, now it's much more acute in the sense that people realize that you need quality data so there's now new capabilities to make sure there's a process for doing that on the front end, not on the back end. Talk about that dynamic, because this is something that is critical in the architecture, and how you think about data pipe-lining, data management, the things that you guys do, this is an important trend. Take a minute to explain that. >> Yes, I totally agree with you and I think that the rise of the importance of data quality, and it actually is coming also as part of the pattern of data governance and we want to make sure that the processes exist to make sure that the data that we make available for our AI research, for analytics, for our executives and data workers that this data is really the right data is critical. To actually support that, what we are seeing is people defining data governance process. What are the steps that the data needs to go before it is actually available for the next step? And what is nice today is that this is not people that the data needs to go through. These are processes, automation, that can actually drive data quality, it goes from things that are very very basic. Let's remove duplicate data, but also into the fact that you actually identify anomalies in the data and you ask the right questions so that that data doesn't go in. >> Is this the kind of topics that people will hear at Informatica World? >> Definitely, they will hear about how they can actually help the organization get the data right so that machine learning automation, and hyper growth is actually possible. >> You're excited about this market, aren't you? >> Super excited, I mean I think each and every one of us, we're going to see a lot of innovation coming out and I consider myself lucky that data is actually in the center of all of this innovation and that we're actually able to help the customers and our partners be successful with that. >> Yeah, you and I were talking before you came on camera, I wish I was 23 again right now, this is a great time to be in tech, everything's coming together. You got unlimited compute, machine learning's rocking and rolling, everyone's all kinds of diverse areas to play on, it's kind of intoxicating to be in this environment, isn't it? >> I totally agree, and I will add one additional thing to the reasons, agility. Like the fact that it all is available at your fingertip, and you can actually achieve so much with very little patience is really really amazing. >> This compose ability really as the new developer modernization renaissance. It's happening. >> Yes, yes, and as we usually say it all starts from the data. >> Okay, Ronen Schwartz, we're talking Informatica World but getting an update on what's going on because data integration, cloud integration, this is the number one activity people are spending their time on. You get it right, there's huge benefits. Ronen, thanks for coming in and sharing your insights, appreciate it. >> Hey, my pleasure. >> Okay, this is theCUBE, here for CUBE Conversation here in Palo Alto, California at theCUBE headquarters, I'm John Furrier Thanks for watching. (jazz music)

Published Date : Apr 18 2019

SUMMARY :

From our studios in the heart of Ronen, great to see you. Really happy to see you, you guys so I'm expecting to see you come on the cloud is the place that they actually Because at the end of the day you need the data. from the Informatica Ipass directly to Apogee as a tell sign or the canary in the cole mine There is nothing better than deleting the in a consistent way, when you need to update got to have a lot of composition, you need to allow the data to reside in the best place What's the update, what are some of the that supports the entire ecosystem. What's the core theme that you're going to be that are changing the world and are And the AI zone, there's a cloud and AI zone. decision making, the recommendation, you have to that the data sucks so you had to people that the data needs to go through. get the data right so that machine learning actually in the center of all of this innovation to be in tech, everything's coming together. Like the fact that it all is available as the new developer modernization renaissance. it all starts from the data. integration, this is the number one activity Okay, this is theCUBE, here for

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Rowan Trollope, Five9 | Enterprise Connect 2019


 

live from Orlando Florida it's the cube covering enterprise connect 2019 brought to you by five nine hello from Orlando Florida Lisa Martin with the cubes to minimun joining me we are at Enterprise Connect 2019 day three graciously hosted by five nine we've had great conversations with five nine folks customers partners and we're very pleased to welcome back to the cube but the first time live the CEO of five nine Rowan trollope Bruin thank you so much for joining Stu and me today thank you Lisa thank you sue great to be here and for hosting us I was telling you before we live we've had a great three days of talking to your customers your partners this contact center is hot it's electric it's electric I think they should rename Enterprise Connect to contact center connector or central or something it's it really all the innovation I've heard this from people in the financial community and the customers that wow there's so much innovation happening in the contact center and they're 100% right and not just us but the whole industry is just absolutely on a tear right now the rise of the powered consumer yeah it's incredible how this consumer behavior that's the driver absolutely and every company has to react because we have as consumers so much choice yeah we call it the experience economy it's like you know we're all and we all can relate to this because we're all consumers and when we deal with brands we want to have a great experience all around like not just when we're you know buying or when we're using or but you know from the very first moment we discover that brand all the way through to the renewal of that product and the use and the install and the support that we get and we're really really focused on that so that's the driver and your enterprises have realized that businesses in general have realized that if they can deliver an outstanding experience from an engagement perspective to their customer that can drive fierce loyalty amongst customers unlike any other thing they can do so it's it's emerging as this like as this extraordinarily important part of every business yeah Rowen one of the things Lisa and I talking about what we learn this week is I wish as a consumer I had visibility into some of the technologies that were using it behind them it would give me an indicator of how much they value me as a customer right and if I do need to call them what that experience would be like that's right we're so we think a lot about customer love what you know what does it take to get a customer to love your business and it doesn't only take having a great product it takes having a great experience with your brand and nothing is closer to your customer than the contact center it's where all the action happens right it's right at that front line it's for the moment you hear the ring when you call that company or what the website looks like and how you get answers to your questions and how do they engage with you how do they greet you what is it like do you does the person know who you are do they give you that delightful experience and you know the thing is we all know what great looks like and therefore we see when it's not great and it's just grates on us you know great great and and five nine is fundamentally solving that problem for our businesses one of the things we heard - in terms of omni-channel and you know as these empowered consumers we we want a company to communicate with us so as you were saying before I know us on whatever channel that we want but one of the things that did surprise me is that social isn't as high yet as a communications tool that that really companies of any industry saying I will go to Twitter if I'm not getting what I want from an agent on the phone so I just was surprised to learn that that social wasn't as high on the radar yet but then other things that we're surprising to row and it's voices sexy voices back it's we have to have the humans and the empathise or some some sort of old-school things that are coming back and resurfacing is critical yeah well you know on the omni-channel things that sort of very fancy word for just saying communicate with me as a customer in the way that I want in the best way possible and if we think about I keep this really simple for people think about how you and I would communicate if we were just chatting sometimes I would call you sometimes I would text you sometimes I might send you an email they're all different not one or the other is better or worse they're just different if I'm in line at Starbucks and I'm trying to like you know I'm not gonna call you and be that person who's like loudly yapping to Lisa on the phone I might send you a couple texts but then I walk out I jump in the car what a minute I'm gonna phone Conny on the phone the call center or the contact center needs to deliver that same seamless experience across whatever channel you want whether it's messaging or whether it's in the product itself or an email or phone and voice when it's needed so that's really the that's where we're driving towards and that's what our product offers the fancy word for that is omni-channel you know you'd be surprised that not as many customers do it as you know you would like and we're able to deliver it deliver that out of the box right and we can also do that with our partners like Salesforce and Oracle and you know whoever the backend is that you're using so we can we partner with that and do that very effectively yeah Rowen one of the other things we heard this week is just how important cloud is to a lot of the changes that are happening one of the panels though I was actually a little surprised to hear they're like oh how do we call kind of the hybrid environment I have my own premises I have my cloud deployments and you know hybrids in the middle it's you know we're at certain parts along the journey of maturation in the industry and sometimes they're like oh well there's certain things that will never go to the cloud because of you know it's very large and part of me looks at it's like well I look at the largest technology companies in the world they're the cloud companies and they're scaling you know and they're enabling companies to scale even more I know clouds one of the main reasons you know for 5/9 success yeah in one of the regions that came over we're a market leader in cloud you know that's how we started we're born in the cloud so we don't have any on-premises technology you know think about a call center today that has phones on the desks and wires and this you know we're all about the agents login to our website at five nine com they get an incredible experience and they plug in their headset to the computer and so it's super lightweight there's nothing to deploy there's no closets of equipment anywhere it's all very seamless and lightweight and that's what customers really love about the solution the idea back to your point that you know there's some things are too big for the cloud that's total BS I just say to have to say it that's not true you know what I would agree with though is that we're on a journey you know we're not at a point where every company should hit a button right now and lift and shift everything to the cloud right and so there are sort of steps along the way that we think some companies need to make and you know that frankly if all you have is a legacy on premises set of technology then that's the story you're gonna tell and it's not a it's not a lie it's true that for some companies but what's true for most companies almost all the time is that the cloud is the best answer and we're essentially we're through the evangelism phase here there's not really any question anymore whether that's a viable solution for most large businesses it is you know we've got over 40 customers now paying us over a million dollars a year then that's doubled in the last two years so it's a fastest growing segment of our business is large-scale contact centers running a hundred percent on the cloud and they are loving it and another thing we talk about is cloud as an enabler of AI we've that's been a theme I know that hey I came up sort of a little bit controversially on that panel that you were on this morning but talk to us about AI as an accelerant of the customer experience and the agent experience yeah well I'll tell you a little story I was call center agent my first job we're talking about that earlier and you know I took a lot of calls and 8000 calls actually in a call center that I took after you take 8,000 calls your brain gets really good at predicting what the calls are about you've heard them all you're never gonna be surprised by an inbound sort of call or message or whatever you've seen it all and frankly by the time the customer says two or three words you already know where they're going but the big challenge in the context so if you got me on the phones I would know the answers to your questions after you think $8,000 you're fast you're efficient you can deliver that great experience the big problem in the context Center it's mostly a labor driven operation there's very high turnover contact center reps once they've taken out phase 8,000 calls the first thing they want to do is get the heck out of the contact center we think that AI offers a brand new way to solve that problem to deliver the intelligence and the prediction to your most junior agents let them focus on the empathy we say let the Machine bring the mastery and let the human bring the heart because it's really important that you have the human touch in that experience right that drives that's what people crave in life they don't it's like I don't want to talk to a bot whether it's on text or the IVR as far as I'm concerned this rash of bots that we've seen are sort of the new IV ARS nobody likes talking to a computer you want to talk to a human so our goal right now is to see how we can make those humans more efficient how we can arm them with real-time interactions and that's all about leveraging data right because the data in this case is voice so de voices the new data it's the biggest source of dart data in the enterprise customer voice actual voice like WAV files what's new in the last year or two is that we can now take that in real time take that customer voice convert it into text real time with with high accuracy better than humans can do and we can then use that to generate predictions about what that rep should say or do next right that sort of superpower rep who's taken 8000 calls how do you make every rep like that we are sort of heading down a path to enable that the very first step though is you have to get to the cloud because this technology cannot be done on premises so you know you can dance around that all you want but the reality is you cannot get data at scale on-premises with the legacy approach you have to be in the cloud and that's where we are and that's where we were that's where we started well that that data driven story is something that definitely resonated with us this week of the show and something we heard a lot from your team something that that's happening just across industries I'd love to hear a little bit about you know just future growth where you you know 5/9 had a very strong product great customer experience to begin with but yourself and Jonathan now on the team starting moved down the AI path data becomes more and more important part of the story well what should we be looking at four five nine kind of the next you know 12 to 18 months yeah well I think five 9s got the best experience for our customers and you know where we're heading the big opportunity here is to deliver that next generation of innovation to the contact center to enable an experience unlike anything they've ever delivered before so that you can take in any company anywhere in the world and deliver that sort of best best-in-class experience right that predictive you never wait you get someone whether it's text whether it's email whether it's chat you get a great answer you get a human touch but you also get the answer you want and whether that's inbound or outbound if its outbound it's really important that it is not only predictive but that it's anticipating what your needs are because I like to say if I have to call support like that's already a problem why am i calling you you know with IOT and with instrumentation going on and with the ability to gather data part of what you should be of doing every business should be doing is anticipating what their customers are gonna need and sharing that information across their company and a contact center is really where that all comes together to be able to say look we know this customers are already having a problem with this like let's not have an outbound marketing call to try and upsell them we should be calling them to figure out how do we can make that experience better so really honing and optimizing and anticipating your users needs is sort of the other side of this so it's both the inbound case I talked about but also that outbound case and and that that proactive engagement that that I think every end user really would like in an effective way five nine has about five billion recorded conversations customer conversations a year you have billion minutes a year five billion minutes thank you a year tremendous amount of opportunity there for your customers to start digging into that dirk data and becoming predictive talk to us about that as a competitive advantage yeah the very first step is lighting that data up we're lighting it up now with machine learning we signed a partnership with Google and we're using their speech-to-text in a secure way in a private way that doesn't expose anyone's data so very very secure obviously our our name is 5/9 we're known as the trusted you know brand in this industry five nines of reliability is what we're all about so this is for our customers is when it comes to the next step it's really okay take that voice data which is not very useful like you can have agent spot check or supervisors listen in on calls but that doesn't scale as I pointed out earlier the more important opportunity here is let's convert all of that to text let's then take that text and it becomes computable you can summarize it we can use modern natural language processing technologies to summarize it to include a summary of every call in your CRM system so that whenever the person calls you can they can quickly scan down and see what's happened also to be predictive hey we think that this person's been complaining about this for a long time we can actually go predict what they might you know what what the challenge might be or and you can do that across your whole data set so there's incredible business insight and value that can come from the voice of your customer from from really being able to translate that from voice into digital data so we're turning voice into the next digital channel and we think that that has profound implications on every contact center and every business yeah Ron one of the interesting things is if you look around this at this show floor you've got a lot of partnerships but there's some of the overlaps and blurring the lines between some of the environments we had carfax on good customer of yours started out with the the contact center agents but you know they've got quite a lot of seats just for the sales doing outbound not a traditional contact center you're partnering with marketing cloud and unified communications but you know some of those lines blur out quite a bit so what is it call - yeah a contact center that the lines of that are blurring you know the traditional thing you would imagine like what I was working in 20 years of 30 years ago was like you know rows of cubes people on headsets like that's mostly what people think about but increasingly some of our largest customers it's nurse practitioners it's doctors it's other experts that are interacting with their customers it's education consultants and specialists these are all customers of ours that are using our platform today you know I think about 10 years ago I'll give you an example of this transition 10 years ago I my wife Steph was giving me a hard time about my garage being messy as she likes to do cuz it was messy and I sort of successfully ignored this for about two years and then eventually had to do something about it she didn't give up she's very persistent and so I ran down to Home Depot and I got some like rack things that I could bring home and I organized all my junk so fast forward to a year ago and we've moved we now live in San Francisco and Steph's on me again about the same thing consistent and I ignore her for a while and I go out all right all right I'll get it done so what do I do I think about well last time I did this I got a rack how am I gonna get a rack I went on my phone and I searched garage organizing systems and I find a few companies and I go under their websites and I do a little bit of self-service likes discovery and learning about their products I'm an empowered consumer at this point right I find three different companies I call one of them because like this is a big purchase I don't want this huge thing to show up steal blah blah blah my house if it's the wrong thing I guess gonna get ahold of someone I talked to them I have a good experience I hang up my called one other one just to kind of compare it I compared the two then I ordered it and it showed up at my doorstep so ten years ago let me give you the punchline here ten years ago one trip to brick and mortar zero calls to the call center ten years later now zero trips to brick and mortar two calls to a call center and those calls to call center were the differences between a sale and no sale that's the experience economy in action and that tells me that there may even be more contact center agents in the future and they will look very different than how they look today it's a really interesting view that you give us of how different a contact centre agent is I wouldn't have thought of it as you're right these are nurse practitioners it's so diverse speaking of diversity I know that five nine has several thousand customers globally one of the ones that you mentioned during the panel this morning was Estee Lauder which I thought was so interesting because woman founded company woman founded company not a tech company talk to us about how 5/9 helped this business transform and actually did George Clooney a solid yes we did George Clooney a solid so in the case of Estee Lauder they were a they're a huge company eleven billion dollars in sales they're an amalgamation of 40 different brands very high-end skin care products and so they had a big challenge which was they bought 40 companies they did not integrate any of them so you call any one of these places there was all different contact centers they didn't even know when we began how many call center agents they had we had to sort of to make that a part of the discovery process and global they're in all over the world they're in asia-pacific they're in France and Europe they're here they had telecom contracts in almost every single one of those cases they had independent technology contracts and almost every single one of those cases and I don't even know how many systems that were coming together but it was a lot so we engaged with them and basically provided we we help them write the RFP we help work through that process we got them on board with our software nothing to deploy nothing to install right just have your agents login we did a training and we're able to on board you know well over a thousand agents onto the platform and those were folks who were engaged across many many different businesses and some of the things that they wanted in this upgrade was not just to sort of like how fewer contracts or a better system but it's also to tie that system back into the business so you know they have a some products that are they give away at like the Oscars and the Emmys or whatever gift bags and you know they want brand representatives and influencers to use their products so they encourage them to call in to order more or to find out more about their products and so on they don't want them coming into the same contact center that you or I you know would use maybe you would go to the VIPs but now it's called a regular contact center they want those to go right into their VIPs and make sure that you get the right specialist at the right time to that that customer that well I think actually while we were in helping them out with one of the deployments and one of the on boardings George Clooney's people had called in and the team was actually dealing with that and so we were able to get that to the right agent at the right time and that's about knowing the skills you know being able to route things in a complex way understanding oh this is a contact coming from an event that event has some you know some VIPs at the event we've got a specialist here who's got this skill and that skill this is the right person for it to go to they're really good at dealing with VIPs and you can get it to the right person at the right time so we saw it in action it was obviously great and what made us made us felt good that we could help them deliver on what they wanted Wow all that contacts Rowan thank you so much for joining Stu and me and also for 5/9 for graciously hosting the Q the last three days we've had a venture to hear great conversations and can't wait to see what happens next year me too stay tuned stay tuned for Stu min Amman I'm Lisa Martin you're watching the cube [Music]

Published Date : Mar 20 2019

**Summary and Sentiment Analysis are not been shown because of improper transcript**

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