>>Welcome to the customer. Obsession begins with data session. Uh, thank you for, for attending. Um, at Cloudera, we believe that a custom session begins with, uh, with, with data. Um, and, uh, you know, financial services is Cloudera is largest industry vertical. We have approximately 425 global financial services customers, uh, which consists of 82 out of a hundred of the largest global banks of which we have 27 that are globally systemic banks, uh, four out of the five, uh, top stock exchanges, eight out of the 10 top wealth management firms and all four of the top credit card networks. Uh, so as you can see most financial services institutions utilize Cloudera for data analytics and machine learning. Uh, we also have over 20 central banks and it doesn't or so financial regulators. So it's an incredible footprint, which glimpse Cloudera, lots of insight into the many innovations that our customers are coming in up >>With >>Customers have grown more independent and demanding. Uh, they want the ability to perform many functions on their own and, uh, be able to do it. Uh, he do them on their mobile devices, uh, in a recent Accenture study, more than 50% of customers, uh, are focused on, uh, improving their customer experience through more personalized, uh, offers in advice. The study found that 75% of people are actually willing to share their data for better personalized offers and more efficient and intuitive of services >>Together. And >>A better understanding of your customers use all the data available to develop a complete view of your customer and, uh, and better serve them. Uh, this also breaks down, uh, costly silos, uh, shares data in, in accordance with privacy laws and assists with regulatory adherence. So different and organizations are going to be at different points in their data analytics and AI journey. Uh, there are several degrees of streaming and batch data, both structured and unstructured. Uh, you need a platform that can handle both, uh, with common, with a common governance layer, um, near real time and real real-time sources help make data more relevant. So if you look at this graphic, looking at it from left to right, uh, normal streaming and batch data comes from core banking and, uh, and lending operations data in pretty much a structured format as financial institutions start to evolve. >>Uh, they start to ingest near real-time streaming that comes not only from customers, but also from, from newsfeeds for example, and they start to capture more behavioral data that they can use to evolve their models, uh, and customer experience. Uh, ultimately they start to ingest more real-time streaming data, not only, um, standard, uh, sources like market and transaction data, but also alternative sources such as social media and connected sources, such as wearable devices, uh, giving them more, more data, better data, uh, to extract intelligence and drive personalized actions based on data in real time at the right time, um, and use machine learning and AI, uh, to drive anomaly detection and protect and predict, uh, present potential outcomes. >>So this >>Is another way to look at it. Um, this slide shows the progression of the big data journey as it relates to a customer experience example, um, the dark blue represents, um, visibility or understanding your customer. So we have a data warehouse and are starting to develop some analytics, uh, to know your customer and start to provide a better customer 360 experience. Uh, the medium blue area, uh, is, uh, customer centric or where we learn, uh, the customer's behavior. Uh, at this point we're improving our analytics, uh, gathering more customer centric information to perform, uh, some more exploratory, uh, data sciences. And we can start to do things like cross sell or upsell based on the customer's behavior, which should improve, uh, customer retention. The light blue area is, uh, is proactive customer inter interactions or where we now have the ability, uh, to predict customers needs and wants and improve our interaction with the customer, uh, using applied machine learning and, and AI, uh, clap the Cloudera data platform. >>Um, you know, business use cases require enabling, uh, the end-to-end journey, which we referred to as the data life cycle, uh, what the data life cycle, what is the data life cycle that our customers want to take their data through to enable the end-to-end data journey. If you ask our customers, they want different types of analytics, uh, for their diverse user bases to, to help them implement their, their, their use cases while managed by a centralized security and governance later layer. Uh, in other words, um, the data life cycle to them provides multifunction analytics, uh, at each stage within the data journey, uh, that, uh, integrated and centralized, uh, security, uh, and governance, for example, uh, enterprise data consists of real-time and transactional type type data. Examples include, uh, clickstream data, web logs, um, machine generated, data chatbots, um, call center interactions, uh, transactions, uh, within legacy applications, market data, et cetera. >>We need to manage, uh, that data life cycle, uh, to provide real enterprise data insights, uh, for use cases around enhance them personalized customer experience, um, customer journey analytics, next best action, uh, sentiment and churn analytics market, uh, campaign optimization, uh, mortgage, uh, processing optimization and so on. Um, we bring a diverse set of data then, um, and then enrich it with other data about our customers and products, uh, provide reports and dashboards such as customer 360 and use predictions from machine learning models to provide, uh, business decisions and, and offers of, uh, different products and services to customers and maintain customer satisfaction, um, by using, um, sentiment and turn analytics. These examples show that, um, the whole data life cycle is involved, um, and, uh, is in continuous fashion in order to meet these types of use cases, uh, using a single cohesive platform that can be, uh, that can be served by CDP, uh, the data, the Cloudera data platform. >>Okay. Let's, uh, let's talk about, uh, some of the experiences, uh, from our customers. Uh, first we'll talk about Bunco, something there. Um, Banco Santander is a major global bank headquartered in Spain, uh, with, uh, major operations and subsidiaries all over Europe and north and, and south America. Uh, one of its subsidiary, something there UK wanted to revolutionize the customer experience with the use of real-time data and, uh, in app analytics, uh, for mobile users, however, like many financial institutions send them there had a, he had a, had a large number of legacy data warehouses spread across many business use, and it's within consistent data and different ways of calculating the same metrics, uh, leading to different results. As a result, the company couldn't get the comprehensive customer insights it needed. And, uh, and business staff often worked on multiple versions of the truth. Sometimes there worked with Cloudera to improve a single data platform that could support all its workloads, including self-service analytics, uh, operational analytics and data science processes in processing 10 million transactions, daily or 30,000 transactions per second at peak times. >>And, uh, bringing together really, uh, nearly two to two petabytes of data. The platform provides unprecedented, uh, customer insight and business value across the organization, uh, over 80 cents. And Dera has realized impressive, uh, benefits spanning, uh, new revenues, cost savings and risk reductions, including creating analytics for, for corporate customers with near real-time shopping behavior, um, and, and helping identify 7,000 new corporate, uh, customer prospects, uh, reducing capital expenditures by, uh, 3.2 million annually and decreasing operating expenses by, uh, 650,000, um, enabling marketing to realize, uh, 2.4 million in annual savings on, on cash back on commercial transactions, um, and protecting 3.7 million customers from financial crime impacts through 95, new proactive control alerts, improving risk and capital calculations to reduce the amount of money. It must set aside, uh, as part of a, as part of risk mandates. Uh, for example, in one instance, the risk team was able to release a $5.2 million that it had withheld for non-performing credit card loans by properly identifying healthy accounts miscategorized as high risk next, uh, let's uh, talk about, uh, Rabo bank. >>Um, Rabobank is one of the largest banks in the Netherlands, uh, with approximately 8.3 million customers. Uh, it was founded by farmers in the late 19th century and specializes in agricultural financing and sustainability oriented banking, uh, in order to help its customers become more self-sufficient and, uh, improve their financial situations such as debt settlement, uh, rebel bank needed to access, uh, to a varied mix of high quality, accurate, and timely customer data, the talent, uh, to provide this insight, however, was the ability to execute sophisticated and timely data analytics at scale Rabobank was also faced with the challenge of, uh, shortening time to market. Uh, it needed easier access to customer data sets to ensure that they were using and receiving the right financial support at the right time with, with, uh, data quality and speed of processing. Um, highlighted as two vital areas of improvement. Robert bank was looking to incorporate, um, or create new data in an environment that would not only allow the organization to create a centralized repository of high quality data, but also allow them to stream and, uh, conduct data analytics on the fly, uh, to create actionable insights and deliver a strong customer service experience. >>Rabobank >>Leverage Cloudera due to its ability to cope with heavy pressures on data processing and its capability of ingesting large quantities of real-time streaming data. They were able to quickly create a new data lake that allowed for faster queries of both historical and real-time data to analyze customer loan repayment patterns, uh, to up to the minute transaction records, um, Robert bank and, and its customers could now immediately access, uh, the valuable data needed to help them understand, um, the status of their financial situation, this enabled, uh, rebel bank to spot financial disasters before they happened, enabling them to gain deep and timely insights into which customers were at risk of defaulting on loans. Um, having established the foundation of a modern data architecture Rabobank is now able to run sophisticated machine learning algorithms and, uh, financial models, uh, to help customers manage, um, financial, uh, obligations, um, including, uh, loan repayments, and are able to generate accurate, uh, current liquidity overviews, uh, no next, uh, let's, uh, speak about, um, uh, OVO. >>Uh, so OVO is the leading digital payment rewards and financial services platform in Indonesia, and is present in 115 million devices across the company across the country. Excuse me. Um, as the volume of, of products, uh, within Obos ecosystem increases, the ability to ensure marketing effectiveness is critical to avoid unnecessary waste of time and resources, unlike competitors, uh, banks, w which use traditional mass marketing, uh, to reach customers over, oh, decided to embark on a, on a bold new approach to connect with customers via a ultra personalized marketing, uh, using the stack, the team at OVO were able to implement a change point detection algorithm, uh, to discover customer life stage changes. This allowed OVO, uh, to, uh, build a segmentation model of one, uh, the contextual offer engine Bill's recommendation algorithms on top of the product, uh, including collaborative and context-based filters, uh, to detect changes in consumer consumption >>Patterns. >>As a result, OVO has achieved a 15% increase in revenue, thanks to this, to this project, um, significant time savings through automation and eliminating the chance of human error and have reduced engineers workloads by, by 30%. Uh, next let's talk about, uh, bank Bri, uh, bank Bri is one of the largest and oldest, uh, banks in Indonesia, um, engaging in, in general banking services, uh, for its customers. Uh, they are headquartered in, in Jakarta Indonesia, uh, BR is a well-known, uh, for its, uh, focused on financing initiative initiatives and serves over 75 million customers through its more than 11,000 offices and rural outposts, >>Um, Bri >>Needed to gain better understanding of their customers and market, uh, to improve the efficiency of its operations, uh, reduce losses from non-performing loans and address the rising concern around data security from regulators and consumers, uh, through enhanced fraud detection. This would require the ability to analyze vast amounts of, uh, historical financial data and use those insights, uh, to enhance operations and, uh, deliver better service. Um, Bri used Cloudera's enterprise data platform to build an agile and reliable, uh, predictive augmented intelligence solution. Uh, Bri was now able to analyze 124 years worth of historical financial data and use those insights to enhance its operations and deliver better services. Um, they were able to, uh, enhance their credit scoring system, um, the solution analyzes customer transaction data, and predicts the probability of a customer defaulting on, on payments. Um, the following month, it also alerts Bri's loan officers, um, to at-risk customers, prompting them to take the necessary action to reduce the likelihood of a Vanette profit lost. Uh, this resulted in improved credits in, in improved, uh, credit scoring system, uh, that cut down the approval of micro financing loans, uh, from two weeks to two days to two minutes and, uh, enhanced, uh, fraud detector. >>All right. Uh, this example shows a tabular representation, uh, the evolution of a customer retention use case, um, the evolution of data and analytics, uh, journey that, uh, that for that use case, uh, from aware, uh, text flirtation, uh, to optimization, to being transformative, uh, with every level, uh, data sources increase. And, uh, for the most part, uh, are, are less, less standard, more dynamic and less structured, but always adding more value, more insights into the customer, uh, allowing us to continuously improve our analytics, increase the velocity of the data we ingest, uh, from, from batch, uh, to, uh, near real time, uh, to real-time streaming, uh, the volume of data we ingest continually increases and we progress, uh, the value of the data on our customers, uh, is continuously improving, allowing us to interact more proactively and more efficiently. And, and with that, um, I would, uh, you know, ask you to consider an assess if you are using all the, uh, the data available to understand, uh, and service your customers, and to learn more about, about this, um, you know, visit cloudera.com and schedule a meeting with Cloudera to learn more. And with that, thank you for your time. And thank you for listening.

>>Yeah, yeah, hello again and welcome to our last session of the day before we head to the meat. The experts roundtables how T Mobile is building a data driven organization with thought spot and whip prone. Today we'll hear how T Mobile is leaving Excel hell by enabling all employees with self service analytics so they can get instant answers on curated data. We're lucky to be closing off the day with these two speakers. Evo Benzema, manager of business intelligence services at T Mobile Netherlands, and Sanjeev Chowed Hurry, lead architect AT T Mobile, Netherlands, from Whip Chrome. Thank you both very much for being with us today, for today's session will cover how mobile telco markets have specific dynamics and what it waas that T Mobile was facing. We'll also go over the Fox spot and whip pro solution and how they address T mobile challenges. Lastly, but not least, of course, we'll cover Team Mobil's experience and learnings and takeaways that you can use in your business without further ado Evo, take us away. >>Thank you very much. Well, let's first talk a little bit about T Mobile, Netherlands. We are part off the larger deutsche Telekom Group that ISS operating in Europe and the US We are the second largest mobile phone company in the Netherlands, and we offer the full suite awful services that you expect mobile landline in A in an interactive TV. And of course, Broadbent. Um so this is what the Mobile is appreciation at at the moment, a little bit about myself. I'm already 11 years at T Mobile, which is we part being part of the furniture. In the meantime, I started out at the front line service desk employee, and that's essentially first time I came into a touch with data, and what I found is that I did not have any possibility of myself to track my performance. Eso I build something myself and here I saw that this need was there because really quickly, roughly 2020 off my employer colleagues were using us as well. This was a little bit where my efficient came from that people need to have access to data across the organization. Um, currently, after 11 years running the BR Services Department on, I'm driving this transformation now to create a data driven organization with a heavy customer focus. Our big goal. Our vision is that within two years, 8% of all our employees use data on a day to day basis to make their decisions and to improve their decision. So over, tuition Chief. Now, thank >>you. Uh, something about the proof. So we prize a global I T and business process consulting and delivery company. Uh, we have a comprehensive portfolio of services with presents, but in 61 countries and maybe 1000 plus customers. As we're speaking with Donald, keep customers Region Point of view. We primary look to help our customers in reinventing the business models with digital first approach. That's how we look at our our customers toe move to digitalization as much as possible as early as possible. Talking about myself. Oh, I have little over two decades of experience in the intelligence and tell cope landscape. Calico Industries. I have worked with most of the telcos totally of in us in India and in Europe is well now I have well known cream feed on brownfield implementation off their house on big it up platforms. At present, I'm actively working with seminal data transform initiative mentioned by evil, and we are actively participating in defining the logical and physical footprint for future architectures for criminal. I understand we are also, in addition, taking care off and two and ownership off off projects, deliveries on operations, back to you >>so a little bit over about the general telco market dynamics. It's very saturated market. Everybody has mobile phones already. It's the growth is mostly gone, and what you see is that we have a lot of trouble around customer brand loyalty. People switch around from provider to provider quite easily, and new customers are quite expensive. So our focus is always to make customer loyal and to keep them in the company. And this is where the opportunities are as well. If we increase the retention of customers or reduce what we say turned. This is where the big potential is for around to use of data, and we should not do this by only offering this to the C suite or the directors or the mark managers data. But this needs to be happening toe all employees so that they can use this to really help these customers and and services customers is situated. This that we can create his loyalty and then This is where data comes in as a big opportunity going forward. Yeah. So what are these challenges, though? What we're facing two uses the data. And this is, uh, these air massive over our big. At least let's put it like that is we have a lot of data. We create around four billion new record today in our current platforms. The problem is not everybody can use or access this data. You need quite some technical expertise to add it, or they are pre calculated into mawr aggregated dashboard. So if you have a specific question, uh, somebody on the it side on the buy side should have already prepared something so that you can get this answer. So we have a huge back lock off questions and data answers that currently we cannot answer on. People are limited because they need technical expertise to use this data. These are the challenges we're trying to solve going forward. >>Uh, so the challenge we see in the current landscape is T mobile as a civil mentioned number two telco in Europe and then actually in Netherlands. And then we have a lot of acquisitions coming in tow of the landscape. So overall complexity off technical stack increases year by year and acquisition by acquisition it put this way. So we at this time we're talking about Claudia Irureta in for Matic Uh, aws and many other a complex silo systems. We actually are integrated where we see multiple. In some cases, the data silos are also duplicated. So the challenge here is how do we look into this data? How do we present this data to business and still ensure that Ah, mhm Kelsey of the data is reliable. So in this project, what we looked at is we curated that around 10% off the data of us and made it ready for business to look at too hot spot. And this also basically help us not looking at the A larger part of the data all together in one shot. What's is going to step by step with manageable set of data, obviously manages the time also and get control on cost has. >>So what did we actually do and how we did? Did we do it? And what are we going to do going forward? Why did we chose to spot and what are we measuring to see if we're successful is is very simply, Some stuff I already alluded to is usual adoption. This needs to be a tool that is useable by everybody. Eso This is adoption. The user experience is a major key to to focus on at the beginning. Uh, but lastly, and this is just also cold hard. Fact is, it needs to save time. It needs to be faster. It needs to be smarter than the way we used to do it. So we focused first on setting up the environment with our most used and known data set within the company. The data set that is used already on the daily basis by a large group. We know what it's how it works. We know how it acts on this is what we decided to make available fire talksport this cut down the time around, uh, data modeling a lot because we had this already done so we could go right away into training users to start using this data, and this is already going on very successfully. We have now 40 heavily engaged users. We go went life less than a month ago, and we see very successful feedback on user experience. We had either yesterday, even a beautiful example off loading a new data set and and giving access to user that did not have a training for talk sport or did not know what thoughts, what Waas. And we didn't in our he was actively using this data set by building its own pin boards and asking questions already. And this shows a little bit the speed off delivery we can have with this without, um, much investments on data modeling, because that's part was already done. So our second stage is a little bit more ambitious, and this is making sure that all this information, all our information, is available for frontline uh, employees. So a customer service but also chills employees that they can have data specifically for them that make them their life easier. So this is performance KP ice. But it could also be the beautiful word that everybody always uses customer Terry, 60 fuse. But this is giving the power off, asking questions and getting answers quickly to everybody in the company. That's the big stage two after that, and this is going forward a little bit further in the future and we are not completely there yet, is we also want Thio. Really? After we set up the government's properly give the power to add your own data to our curated data sets that that's when you've talked about. And then with that, we really hope that Oh, our ambition and our plan is to bring this really to more than 800 users on a daily basis to for uses on a daily basis across our company. So this is not for only marketing or only technology or only one segment. This is really an application that we want to set in our into system that works for everybody. And this is our ambition that we will work through in these three, uh, steps. So what did we learn so far? And and Sanjeev, please out here as well, But one I already said, this is no which, which data set you start. This is something. Start with something. You know, start with something that has a wide appeal to more than one use case and make sure that you make this decision. Don't ask somebody else. You know what your company needs? The best you should be in the driver seat off this decision. And this is I would be saying really the big one because this will enable you to kickstart this really quickly going forward. Um, second, wellness and this is why we introduce are also here together is don't do this alone. Do this together with, uh I t do this together with security. Do this together with business to tackle all these little things that you don't think about yourself. Maybe security, governance, network connections and stuff like that. Make sure that you do this as a company and don't try to do this on your own, because there's also again it's removes. Is so much obstacles going forward? Um, lastly, I want to mention is make sure that you measure your success and this is people in the data domain sometimes forget to measure themselves. Way can make sure everybody else, but we forget ourselves. But really try to figure out what makes its successful for you. And we use adoption percentages, usual experience, surveys and and really calculations about time saved. We have some rough calculations that we can calculate changes thio monetary value, and this will save us millions in years. by just automating time that is now used on, uh, now to taken by people on manual work. So, do you have any to adhere? A swell You, Susan, You? >>Yeah. So I'll just pick on what you want to mention about. Partner goes live with I t and other functions. But that is a very keating, because from my point of view, you see if you can see that the data very nice and data quality is also very clear. If we have data preparing at the right level, ready to be consumed, and data quality is taken, care off this feel 30 less challenges. Uh, when the user comes and questioned the gator, those are the things which has traded Quiz it we should be sure about before we expose the data to the Children. When you're confident about your data, you are confident that the user will also get the right numbers they're looking for and the number they have. Their mind matches with what they see on the screen. And that's where you see there. >>Yeah, and that that that again helps that adoption, and that makes it so powerful. So I fully agree. >>Thank you. Eva and Sanjeev. This is the picture perfect example of how a thought spot can get up and running, even in a large, complex organization like T Mobile and Sanjay. Thank you for sharing your experience on how whip rose system integration expertise paved the way for Evo and team to realize value quickly. Alright, everyone's favorite part. Let's get to some questions. Evil will start with you. How have your skill? Data experts reacted to thought spot Is it Onley non technical people that seem to be using the tool or is it broader than that? You may be on. >>Yes, of course, that happens in the digital environment. Now this. This is an interesting question because I was a little bit afraid off the direction off our data experts and are technically skilled people that know how to work in our fight and sequel on all these things. But here I saw a lot of enthusiasm for the tool itself and and from two sides, either to use it themselves because they see it's a very easy way Thio get to data themselves, but also especially that they see this as a benefit, that it frees them up from? Well, let's say mundane questions they get every day. And and this is especially I got pleasantly surprised with their reaction on that. And I think maybe you can also say something. How? That on the i t site that was experienced. >>Well, uh, yeah, from park department of you, As you mentioned, it is changing the way business is looking at. The data, if you ask me, have taken out talkto data rather than looking at it. Uh, it is making the interactivity that that's a keyword. But I see that the gap between the technical and function folks is also diminishing, if I may say so over a period of time, because the technical folks now would be able to work with functional teams on the depth and coverage of the data, rather than making it available and looking at the technical side off it. So now they can have a a fair discussion with the functional teams on. Okay, these are refute. Other things you can look at because I know this data is available can make it usable for you, especially the time it takes for the I t. G. When graduate dashboard, Uh, that time can we utilize toe improve the quality and reliability of the data? That's yeah. See the value coming. So if you ask me to me, I see the technical people moving towards more of a technical functional role. Tools such as >>That's great. I love that saying now we can talk to data instead of just looking at it. Um Alright, Evo, I think that will finish up with one last question for you that I think you probably could speak. Thio. Given your experience, we've seen that some organizations worry about providing access to data for everyone. How do you make sure that everyone gets the same answer? >>Yes. The big data Girlfriends question thesis What I like so much about that the platform is completely online. Everything it happens online and everything is terrible. Which means, uh, in the good old days, people will do something on their laptop. Beirut at a logic to it, they were aggregated and then they put it in a power point and they will share it. But nobody knew how this happened because it all happened offline. With this approach, everything is transparent. I'm a big I love the word transparency in this. Everything is available for everybody. So you will not have a discussion anymore. About how did you get to this number or how did you get to this? So the question off getting two different answers to the same question is removed because everything happens. Transparency, online, transparent, online. And this is what I think, actually, make that question moot. Asl Long as you don't start exporting this to an offline environment to do your own thing, you are completely controlling, complete transparent. And this is why I love to share options, for example and on this is something I would really keep focusing on. Keep it online, keep it visible, keep it traceable. And there, actually, this problem then stops existing. >>Thank you, Evelyn. Cindy, That was awesome. And thank you to >>all of our presenters. I appreciate your time so much. I hope all of you at home enjoyed that as much as I did. I know a lot of you did. I was watching the chat. You know who you are. I don't think that I'm just a little bit in awe and completely inspired by where we are from a technological perspective, even outside of thoughts about it feels like we're finally at a time where we can capitalize on the promise that cloud and big data made to us so long ago. I loved getting to see Anna and James describe how you can maximize the investment both in time and money that you've already made by moving your data into a performance cloud data warehouse. It was cool to see that doubled down on with the session, with AWS seeing a direct query on Red Shift. And even with something that's has so much scale like TV shows and genres combining all of that being able to search right there Evo in Sanjiv Wow. I mean being able to combine all of those different analytics tools being able to free up these analysts who could do much more important and impactful work than just making dashboards and giving self service analytics to so many different employees. That's incredible. And then, of course, from our experts on the panel, I just think it's so fascinating to see how experts that came from industries like finance or consulting, where they saw the imperative that you needed to move to thes third party data sets enriching and organizations data. So thank you to everyone. It was fascinating. I appreciate everybody at home joining us to We're not quite done yet. Though. I'm happy to say that we after this have the product roadmap session and that we are also then going to move into hearing and being able to ask directly our speakers today and meet the expert session. So please join us for that. We'll see you there. Thank you so much again. It was really a pleasure having you.

>> From around the globe, it's theCUBE. With digital coverage, have a special announcement, brought to you by Nutanix. >> Hi, I'm Stu Miniman. And I want to welcome you to this special event that we are doing with Nutanix. Of course, in 2020 many things have changed and that has changed some of the priorities for many companies out there, acceleration of cloud adoption, absolutely have been there. I've talked to many companies that were dipping their toe or thinking about where they were going to the cloud and of course it's rapidly moved to accelerate to be able to leverage work from home, remote contact centers and the like. So we have to think about how we can accelerate what's happening and make sure that our workforce and our customers are all taken care of. So at one of the front seats of this is of course companies working to help modernize customers out there and Nutanix is part of that discussion. So I want to welcome to join us for this special discussion of cloud and Nutanix, I've two of our CUBE alumnis. First of all, we have Monica Kumar, she's the Senior vice President of Product with Nutanix and Tarkan Maner, who's a relative newcomer, second time on theCUBE in his new role, many-time guest previously. Tarkan is the Chief Commercial Officer with Nutanix. Monica and Tarkan, thank you so much for joining us. >> Thank you so much. So happy to be back on theCUBE. >> Yeah, Thank you. >> All right, so Tarkan as I was teeing up, we know that IT staffs in general, CIO specifically, and companies overall, are under a lot of pressure in general, but in 2020, there are new pressures on them. So why don't you explain to us the special cloud announcement, tell us what's Nutanix's launching and why it's so important today. >> So first of all, thank you. Glad to be here with Monica. Basically, you and I spent some time with a few customers in the past few weeks and months. I'll tell you the things in our industry are changing at a pace that we've never seen before, especially with this pandemic backdrop as we're going through. And obviously all the economic challenges that creates beyond the obviously health challenges and across the globe, all the pain it creates, but also create some opportunities for our customers and partners to deliver solutions to our enterprise customers and infomercial customers and public sector customers in multiple industries. From healthcare, obviously very importantly, to manufacturing, to supply chains and to all the other industries, including financial services and public sector again. So in that context and Monica knows this well as she's our leader in our strategy, we're putting lots of effort in this new multi-cloud strategy as a company. As you know too well, Nutanix wrote the book in digital infrastructures with its own hybrid infrastructure story. Now they're taking that next level via our data center solutions, via DevOps solutions and end user computer solutions now in multi-cloud fashion, working with partners like AWS. So in this launch, we have our new multi-cloud infrastructure, clusters product now available on AWS. We are super excited. We have more than 20 tech firms and customers and partners at senior executive level support in this big launch. Timing is usually important because of this pandemic backdrop. And the goal is obviously to help our customers save money, focus on what's important for them, save money for them and making sure they streamline their IT operations. So it's a huge launch for us and we're super excited about it. >> Yeah, and the one thing I would add to what Tarkan said too is, look, we talked to a lot of customers and obviously cloud is the constant in terms of enabling innovation. But I think more with COVID, what's on top of mind is also how do we use cloud for innovation, but really be intelligent about cost optimization. So with this new announcement, what we're excited about is we're making really a hybrid cloud a reality across public and private cloud, but also making sure customers get the cost efficiency they need when they're deploying the solution. So we are super excited to bring true hybrid cloud offering with AWS to the market today. >> Well, I can tell you Nutanix cluster is absolutely one of the exciting technologies I've enjoyed watching and getting ready for. And of course, a partnership with the largest public cloud player out there, AWS, is really important. When I think about Nutanix from the earliest days, the word that we always used for the HI space in Nutanix specifically, was simplicity. Anybody in the tech space know that true simplicity is really hard to do. When I think about cloud, when I think about multi-cloud, simplicity's not the first thing that I think of. So Tarkan, help us connect, how is Nutanix going to extend the simplicity that it's done for so long now in the data center into places like AWS with this solution? >> So, Stu, you're right on, spot on. Look, Monica and I spend a lot of time with our customers. One thing about an Nutanix executive team we're very customer driven, and I'm not just saying this to make a point. We really spent tons of time with them because our solutions are basically so critical for them to run their businesses. So just recently, I was with a senior executives of an airline right before that Monica and I spent actually with one of the largest banks in the world in France, in Paris, right before pandemic, we were actually traveling, talking to not only the CIO, the Chief Operating Officer on one of these huge banks, and the biggest issue was how these companies are trying to basically adjust their plans, business plans. I'm not talking about tech plans, IT plans, the business plans around this backdrop that the economic stress and obviously now pandemic is in a big way. One of the CIOs told me, it was an airline executive, "Look, Tarkan, in the next 12 months, my business might be half of what it is today. And I need to do more with less in so many different ways, while I'm cutting cost." So it's a tough time. So in that context is to, you're actually right, multi-cloud is a difficult proposition, but it's critical for these companies to manage their cost structures across multiple operating models. Cloud to us is not a destination. It's a means to an end. It is an operating model. At the end of the day, the differentiation is to the software. The unique software that we provide from digital infrastructures to deliver end to end discreet data center solutions, DevOps solutions for developers, as well as for end user computing individuals, to make you sure to take advantage of these EDI disability service topic capability. So in that context, what we're providing now, to these CIOs who are going through this difficult time is a platform in which they can move their workloads from cloud to cloud based on their needs, the freedom of choice. Look, one of these big banks that Monica and I visited in France, huge global bank, they have a workloads on AWS, they have workloads on Azure, they have workloads on Google, they have workloads on (mumbles), the local XP, they have workloads in Germany, they have workloads on cloud service providers in Asia, in Taiwan and other locations, On top of that, they're also using Nutanix on Prem as well as Nutanix cloud, our own cloud services for BR. And for them, this is not just a destination, this is an operating model. So the biggest request from them is, "Look, can you guys make this cost effective? Can we use all these operating models and move our data and applications from cloud to cloud?" In simple terms, can we get some flexibility with commits as well as with the credits they paid for so far? And those are the things we're working on, and I'm sure Monica is going to get a little bit more into detail as we talk though this. We're super excited to start this journey with AWS with this launch, but we're not going to stop there. Our goal is, we just discussed it with Monica earlier, provide freedom of choice across multiple clouds both on Prem and off Prem for our customers to cut costs and to focus on what's important for them. >> Yeah, and I would just add to sum it up, we are really simplifying the multi-cloud complexity for our customers,. And I can go into more details but that's really the gist of it. Is what Nutanix is doing with this announcement and more coming up in the future. >> Well, Monica, when I think about customers and how do they decide what stays in their data center, what goes into the public cloud, it's really their application portfolio. I need to look at my workloads, I need to look at my skillset. So when I look at the cluster solution, what are some of the key use cases? What workloads are going to be the first ones that you expect or you're having customers use with it today? >> Sure, and as we talk to customer too, there's clearly few key use cases that they've been trying to build a hybrid strategy around. The first few ones are bursting into cloud. In case of sudden demand, how do I burst and scale my let's say a VDI environment or database environment into the cloud? So that's clearly one that many of our customers want to be able to do simply and without having to incur this extreme complexity of managing these environments. Number two, it's about DR. And we saw it with COVID, business continuity became a big deal for many organizations. They weren't prepared for it. So the ability to actually spin up your applications and data in the cloud seamlessly in case of a disaster, that's another big use case. The third one, which many customers talk about is can I lift and shift my applications as is into the cloud without having to rewrite a single line of code or without having to rewrite all of it? That's another one. And last but not least, the one that we're also hearing a lot about is how do I extend my current applications by using cloud native services that's available on public cloud? So those are four, there's many more, of course, but in terms of workloads, I mentioned two examples, VDI, which is virtual desktop infrastructure, and there's a computing and also databases. More and more of our customers don't want to invest, in again, having on premises data center assets, sitting there idlely and wait for when the capacity surges, the demand for capacity surges, they want to be able to do that in the cloud. So I'd say those are the few use cases and workloads. One thing I want to go back to, what Tarkan was talking about, really there're three key reasons why the current hybrid cloud solutions haven't really panned out for customers. Number one, it's having a unified management environment across public and private cloud. There's a few solutions out there, but none of them have proved to be simple enough to actually put into real execution. With Nutanix, the one thing you can do is literally build a hybrid cloud within under an hour. Under an hour, you can spin up new data clusters which you have on premises, the same exact cluster in Amazon. Under one hour. There you go. And you have the same exact management plan that we offer on Prem that now can manage your AWS Nutanix clusters. It's that easy, right? And then you can easily move your data and applications across, if you choose to. You want to move and burst into cloud, public cloud? Do it. You want to keep some stuff on prem? Do it. If you want to develop in the cloud, do it. Want to keep production on prem, do it. Single management plan, seamless mobility. And the third point is about cost. Simplicity of managing the costs making sure you know how are you going to incur costs? How about if you can hibernate your AWS cluster when you're not using it? We have the capability now in our software to do that. How about knowing where to place, which workload, which workload goes into public node, which stays on premises. We have an amazing tool called beam that gives the customers that ability to assess which is the right cloud for the right workload. So I can go on and on about this, we've talked to so many customers, but this is in a nutshell, the use cases and workloads that we are delivering to customers right out the gate. >> Well, Monica, I'd love to hear a little bit about the customers that have had an early access to this. What customer stories can you share? Understand, of course, you're probably going to need to anonymize, but I'd like to understand how they've been leveraging clusters, the value that they're getting from it. >> Absolutely. We've been working with a number of customers. And I'll give you a few examples. There's a customer in Australia. I'll start with that. And they basically run a big event that happens every five years for them. And that they have to scale something to 24 million people. Now imagine if they have to keep capacity on site, anticipating the needs for five years in a row. Well, they can't do that. And the big event is going to happen next year for them. So they're getting ready with our clusters to really expand the VDI environments into the cloud in a big way with AWS. So from Nutanix on prem to AWS and expand VDI and burst into the cloud. So that's one example. That's obviously when you have an event driven capacity bursting into the cloud. Another customer who is in the insurance business. For them DR Is of course very important. I mean, DR is important for every industry and every business, but for them they realize that they need to be able to transparently run their applications in the case of a disaster on the cloud. So they've been using Nutanix clusters with AWS to do that. Another customer is looking at lifting and shifting some of their database applications into AWS with Nutanix, for example. And then we have yet another customer who's looking at retiring a part of the data center estate and moving that completely to AWS with Nutanix as a backbone, Nutanix clusters as the backbone. I mean, and we have tons of examples of customers who during COVID, for example, were able to burst capacity and spin up remote, hundreds and thousands of remote employees using clusters into AWS cloud, using Citrix also by the way, as the desktop provider. So again, I can go on, we have tons of customers. There's obviously a big demand for this solution because now it's so easy to use. We have customers really surprised going, "Wait, I have built a whole hybrid cloud within an hour? And I was able to scale from six nodes to 16 nodes just like that on AWS cloud from on prem six nodes to 16 and AWS cloud? Our customers are really, really pleasantly surprised with the ease of use and how quickly they can scale using clusters in AWS. >> Yeah, Tarkan, I have to imagine that this is a real change for the conversations that you have with customers. I mean, Nutanix has been partnering with AWS for a number of years. I remember the first time that I saw Nutanics at the re:Invent show, but cloud is definitely front and center in a lot of your customer's conversations. So with your partners, with your customers, has to be just a whole different aspect to the conversations that you can have. >> Absolutely, Stu. As you heard from Monica too, as I mentioned earlier, this is not just a destination for the customers. I know you using these buzzwords, at the end of day, it's an operating model. It's an operating model they want to take advantage of to cut costs and do more with less. So in that context, as you heard even in this conversation, there's any pain point in this. Like, again, being able to move the workloads from location to location, cost-optimize those things, provide a streamlined operations, again, as Monica suggested, making the apps and the data related to those apps mobile, and obviously provide built-in networking capabilities, all those capabilities make it easier for them to cut costs. So what we're hearing constantly from the enterprises is, small and large, private sector and public sector, nothing different, clearly they have options, they want to have the freedom of choice, some of these workloads are going to run on prem, some of them off prem and off prem is going to have tons of different reactions. So in that context, as I mentioned earlier, we have our own cloud as well. We provide 20 plus skells to 17,000 customers around the world. There's a $2 billion software business run rate as you know and a lot of those customers, prem customers, now are also coming to our own cloud services with cloud partners we have our own cloud services with our own billing, payments, logistics, and service capabilities, fit a credit card, you can do DR it's actually come with this service to Nutanix itself. But some of these customers also want to go be able to go to AWS or Azure or to a local service provider. Sometimes as US companies we think US only, but think about this, this is a global phenomenon. I have customers in India. We have customers in Australia as Monica talked about. In China, in Japan, in Germany. And some of these enterprise customers, public sector customers, they want a DR, Disaster Recovery as a service to a local service provider within the country. Because of the new data governance laws and security concerns, they don't want the data and us to go outside of the boundaries of the country, in some cases in the same town. If you're in Switzerland, forget about the country, the same city. So we want to make sure we give capabilities to customers, use the cloud as an operating model the way they want. And as part of this, Stu, we're not alone on this. We can not do this alone. We have tremendous level of partner support as you're going to see the announcements from HP as one of our key partners, Lenovo, AMD, Intel, Fujitsu, Citrix for end user computing, we're partnering with Palo Alto Networks for security, a slew partners, as you know we support VMware is excited, We have partners like Red Hat who's done tons of work in the Linux front, we partnered with IBM, we partnered with Dell. So the ecosystem makes it so much easier for our customers, especially in this pandemic backdrop. And I think what you're going to see from Nutanix, more partners, more customer proof points to help the customers at of the day to cut costs in this typical backdrop. Especially for the next 24 months, I think what you're going to see is tremendous, so to speak, adoption of this multi-cloud approach that we're focusing on right now. >> Yeah. And let me add, I know a partner list is long. So Tarkan also, we have the global size, of course, the WebPros and FCL and TCS and Capgemini and Zinsser, you name it all. We're working with all of them to bring clusters based solutions to market. And for the entire Nutanix stack, also partners like Equinix and Yoda. So it's a long list of partnerships. The one thing I did want to bring up still, which I forgot to mention earlier and Tarkan reminded me, is our superior architecture. So why is it that Nutanix can deliver this now to customers? I mean, our customers have been trying to build hybrid cloud for a little while now and work across multiple clouds and we know it's been complex. The reason why we are able to deliver this in the way we are, is because of our architecture. The way we've architected clusters with AWS it's built-in native network integration. And what that means is if your customer and end user who's a practitioner, you can literally see the Nutanix VMs in the same space as Amazon VMs. So for a customer, it's in the exact same space, it's really easy to then use other AWS services and we bypass any complex and latency issues with networking because we're exactly part of AWS VPC for the customer. And also, the customers can use by the way, their Amazon credits with the way we've architected this. We allow for bringing your own license, by the way, that's the other true part about, simplicity is same license that our customers use on premises today for Nutanix can be brought exactly the same way to AWS, if they choose to. And, of course, we do also offer other licensing models that are cloud only, but I want to point out that (indistinct) is, is something that we're very proud of. It's truly enabling bring your own license to AWS cloud in this case. >> Well, it's interesting, Monica. Of course, one of the things everybody's watched of Nutanix over the last few years is that move from an appliance primarily to a software model and as an industry as a whole, it's much more moving to the cloud model for pricing. And it sounds like that's the primary model with some flexibility and options that you have when you're talking about the cluster solution here, is that correct? >> Yeah, we also offer the pay as you go model of course, on cloud it's popular. So customers can decide they just want to pay for the amount they use, that's fine, or they can bring their existing on prem license to AWS, or we also have a commit model where they commit for a certain capacity for the year and they go with that. So we have two or three different kinds of models. Again, going with the freedom of choice for our customers, we offer them different models they can choose from. But to me, the best part is to bring own license model. That's again, a true hybrid pricing model here. They can choose to use Nutanix where they want to. >> Yeah, well, and, and Monica, I'm glad you brought up some of the architectural pieces here. 'Cause you talked about all the partners that you have out there, if I'm sitting in the partner world, I've been heard nothing over the last few years, but I've been inundated by all the hybrid solutions. So every public cloud provider, including AWS now, is talking about hybrid solutions. You've got virtualization players, infrastructure players, all talking out there. So architecture, you talked a bit about, anything else, key differentiators that you want people to understand as what sets Nutanix apart from the crowd when it comes to hybrid cloud? >> Well, like I said, it's because of our architecture, you can build a hybrid cloud in under an hour. I mean, prove to me if you can do with other providers. And again, I don't mean that, having that ego, but really, honestly for our customers, it's all about how can we speed up a customer's experience to cloud. So building a cloud under an hour, being able to truly manage it with a single plane, being able to move apps and data with one click in many cases and last but not least the license portability, all of that together, I think the way, Durage RCO sums it and Tarkan have talked about this is, we may not have been the first to market, but we believe we're the best to market in this space today. That's what I would say. >> Now, Tarkan, I'd love to hear a little bit of the vision. So as Monica alluded to, anybody that digs underneath the covers it's bare metal offerings from the cloud providers that are enabling this technology. There was a certain partnership that AWS had that enabled this and now you're taking advantage of it. When you look at clusters going forward, give us a little bit, what should we be looking for when it comes to AWS and maybe even beyond? >> Thank you, Tsu, actually is spot on question. Most companies in this space, they follow these buzzwords like, "Oh, multi-cloud." And when you (indistinct) down and you find out, Okay, you support two cloud services and you actually own some kind of a marketplace and you're one of the 19,000 services, you don't see this as a multi-cloud. Our view is complete freedom of choice. So our vision includes a couple of our private clouds, government cloud success with our customers, with enterprise, commercial and public sector customers also delivered to them choice with Nutanix's own cloud, as I mentioned earlier, with our own billing payment, we'll just escapable these started with DR as a service, disaster recovery as a service. But take that next level, the database as a service, VDI, desktop as a service and other services that we deliver. But on top of that, also as Monica talked about earlier, partnerships we have with service providers like Yoda in India, work going on with SoftBank in Japan, work going on with OVH in France and multiple countries that we're building this XSP service provider- customer relationships, give those international customers choice within their own local region in their own country, in some cases, even in their city where they are making sure the network latency is not an issue, security, data governance is not an issue. And obviously, third leg of this multi legged stool is hyperscalers themselves, like AWS. AWS has been a phenomenal partner working with Hume, Matt Garmin, the executive team under Andy Jassy and Jeff Bezos they're just super partners, obviously that bare metal service capability is huge differentiator and typical AWS simplicity, and obviously data simplicity coming together, but giving choice to our customers has we move forward, obviously our customers have a multi-cloud strategy. So I'm reading an amazing book called "Silk Roads." It's an amazing book. I strongly suggest you all read it. It's all talking about partnerships. Throughout history, those empires, those countries who've been successful, partnered well, connect dots well. So that's what we're trying to learn from our own history, connecting the dots with the customers and partners as we talked about earlier, working with companies like WebPro and we all deliver an end user company service called database service go to desk, database as a service, digital data services with MBA, few other new services started in HCL and others. So all these things come up together as a complete end to end strategy with our partners. So we want to make sure as we move forward, in upcoming weeks and months, your going to see these announcements coming up one partner at a time and obviously we're going to measure success one customer at a time as we move forward with this strategy. >> All right, so Monica, you mentioned that if you were an existing Nutanix customer, you can spin up in the public cloud in under an hour, I guess final the question I have for you is number one, if I'm not yet a Nutanix customer, is this something I could start in the public cloud and leverage some capabilities and whether I'm an existing customer or a prospect, how do I get started with Nutanix clusters? >> Absolutely, we're all about making it easy for our customers to get started. So in fact, I know seeing is believing, so if you go to nutanix.com today, you'll see we have a link there for something called a test drive. So we are giving our prospects and customers the ability to go try this out, either just take a tour or even do a 30 day free trial today. So they can try it out, they can just get spun up in the cloud completely and then connect on premises if they choose to, or if they just sustain public cloud only with Nutanix, that's absolutely the customer choice. And I would say, this is really only the beginning for us as Tarkan saying. Our future, I mean, I'm just really super excited about our feature and how we're going to enable customers to use cloud for innovation going forward in a really simple manner that's cost efficient for our customers. >> All right. Well, Monica and Tarkan, thank you so much for sharing the updates. Congratulations to the team on bringing this solution out. And as you said, just the beginning so we look forward to talking to you, your partners and your customers going forward. >> Thank you so much. >> Thank you, Stu, thank you, Monica. >> All right, for Tarkan and Monica, I'm Stu Miniman with theCUBE. Thank you as always for watching this special Nutanix announcement. (upbeat music)

you hey welcome back everybody jeff rick here with the cube we're at the Accenture technology vision 2018 pre-event the actual paper comes out in a couple days we got invited for a preview or excited to be here we came last year and it's pretty wild you know five big trends influencing the technology world Accenture is at the leading edge so we're happy to be here we've got a new guest Jason well she's the managing director of a centers extended reality are you doing Rachel it see you nice to meet you so you guys are not doing a our VR ER BR you've come up with it you coulda grabbed at all in extender II out right sort of XR every one of it I like it so you're running this business you know give us kind of an update how its evolving you know we see the devices the movies are starting to come out but it's still so nascent it is but at you know what we're seeing we've seen a lot of it up shift from a year ago two years ago all this stuff was being done in the Innovation Lab so the corporate Innovation Lab sitting in Silicon Valley they were trying things out for concepts of what have you we've seen a ship now where it's the business starting to push the agenda so it maybe it's the VP of Operations maybe it's the chief Learning Officer and I think that trends a big difference because it starts to mean the business is seeing this as it could provide value now still we're seeing a lot of pilots so we've kind of moved into proof of concept to the pilot to some major deployments but it's a pretty big trend that we've done that that shift even you know we're starting to see our P's come out right but again is another key signpost that this is moving beyond that just test and learn phase - actually real implementations so it's pretty interesting we talked to bail BAP Studios and they make movies and MBR and it's you know it's kind of an interesting parallel when they used to make movies that's just filming what used to be on stage right and it takes a while to understand kind of this new platform and to start to operate in that new platform are there some examples that you can that you've seen where it's no longer just a 3d version of what I used to do is shoot 2d but actually starting to take advantage of this new medium yeah well I think in terms of the different types of trainings we look at immersive training or VR training probably the hottest segment of that you know we kind of have the world broken down into ten different segments the immersive training is definitely the hottest of the ten segments that we're seeing client interested and partially because it applies to every organization right now so they move them from CBT to VR type training and I think in that space there's still a lot of lot to be learned around okay how do I reinvent that experience I can do things in three dimensions I could create personally the idea of presence where I'm actually kind of getting to the subconscious level of people if I can recreate an experience to them it's pretty real right so just understanding how to use the medium and not just repeat that same CBT based training right it's an evolution that we're going through right now so you're the creative directors the experienced designers that are used to 2d or having to relearn this this medium and that's a specific use case where we're seeing the you know some of those challenges and some of the opportunities and what is it about that what are some of the things are discovering that that is either makes it easier learning better learning is it just a different type of experience or there is the type of experience that they can now throw in a training environment so different than they could ever represent before I think you know welcome one of the things is you can do training in in situations you couldn't have done before you know put somebody in a nuclear power plant meltdown but I can't really do that in the real world I can drop you into VR and again this idea if you do it really well you see the mind it's pretty much real right I could put someone through that pressure cooker multiple times over and over again and it's just I can't do that in the real world if I do that two dimensions on a flat screen I'm not getting that that lingering effect where you know I actually felt like I wanted it experience and you know the military's been doing that for years so recreating types of situational awareness simulations to basically get people prepared for that now you see companies like Walmart Paul talked about right at Walmart doing it for Black Friday right it's kind of crazy that's it out all black right exactly weeks before so I think those kind of you think about inclusion and diversity training you know sexual harassment training so things that the medical field has been looking at VR for like treating post-traumatic stress syndrome or you know addiction therapy they've been doing that for a number of years now so you know how do you take that in a good way in an ethical way and start to apply that right to training and you know the thing there is is I think this is why we're in the early stages some of that is we need more data around the effectiveness of it so the academic research says it's gonna be better like because because that's spatial awareness the fact that it's right I've recreated a real situation in my head but we just need more metrics and more data that shows the really the powerful effect of that over time okay I think that's what some of our clients are waiting for and you said there's two kind of 10 categories you guys have broken it down what are some of the other leading ones beyond education shirts so you know if I take on just run through them real quick we kind of break the world into enterprise use cases where the user of the glasses of the headsets is an employee and then the consumer base or customer base use cases on the enterprise side we're looking at the value chain from design and engineering kind of factoring in operations is the second category immersive training being the third pretty much the digital workplace so the idea if you saw the demo the teleportation so I replaced videoconferencing with with VR conferencing I don't know if I'm ready for that hey so how about tell the conference's we save that one to the end yeah I don't want to say I want to be sitting at home you know in my lounge where I'm trying to die and then you get stuck on the conference and then on the consumer side there's sort of the obvious use case immersive marketing right we've had digital marketing for years we had the web we had mobile now we're gonna have AR and VR that's gonna be a big advertising space for for brands then you look at companies like unity are doubling down and how they're gonna enable that so immersive marketing the ARV our commerce post-sale services and and then you know a big category is the you know not just a our VR and how it enables the value chain but how is it going to become a product feature for brand new products the companies to go after so you know I've been a reality in the car we already have HUDs up displays but we have driverless cars you're gonna start to put v are inside the driverless cars as an entertainment platform so it's a whole different sort of segment beyond just how do i how do i been able to value troy how do i actually start to to create new products to services a new monetization so early really still to figure out you know what to do with this medium which you really haven't had before and in fact the guys that bail Bob said don't only they have to figure out to do the medium but the only way to do it is to actually do the development inside the medium you know you don't develop outside then go in and check it out it doesn't work you got to be actually in the medium itself to be doing really effective velvet well I think what's interesting is you look at the studios that are really kind of moved into the VR space for entertainment Penrose Studios here in San Francisco great studio they're just so amazed amazing work they are ones that are pushing the envelope just like the movie industry did on the tools to create VR right well let those those those innovations will find their way into the main street tools for those of us who aren't coding and entertainment you know but we still need the tools to create these types of experiences alright Jason well it's gonna be an exciting year and I look forward to to an update a year from now that sounds good all right he's Jason wells I'm Jeff Rick you're watching the queue from the Accenture technology vision 2018 thanks for watching to catch you next time