>>Okay. We're back at the area in Las Vegas, Falcon 22. You're watching the cube. My name is Dave Valante. Michael cent is here. He's the chief technology officer at CrowdStrike. Michael. Good to see you. Thanks. Thanks >>For >>Having me. Yeah. So this is your first time I think, on the cube. It is, and, and it's really a pleasure. I've been following you, watching you very closely. You're, you know, quite prominent and, and, you know, very articulate. I loved your keynote talking about what is XDR. I think you guys are gonna do really well in that space, cuz you've got clarity of vision and execution. Talk about some of the announcements that you made this week, particularly interested in, in insight. XDR what's that all about? >>Yeah. So I've been talking about XDR for a while and trying to help push the right narrative. There's a lot of marketing in the industry with XDR. So we've been talking a lot about what it, what it means that the benefit that it provides from a technology perspective, what you need in the architecture. So we firmly believe it's a philosophy and we build all of our technology to work together, but it's bringing in third parties. And that was really a lot of the, the announcements. My keynote was to show everybody the work that we've been doing to bring in data from Zscaler and Proofpoint. And we talked about bringing in data from a whole range of different vendors, firewall vendors, and we've been doing XDR use cases for a long time. So a big part of our strategy is to make security easy. And we've been doing a lot of XDR use cases with our Falcon insight module. So the announcement that I made was to relaunch Falcon insight as insight XDR and it means all of our close to 20,000 customers have access to the product. >>So that gets bundled right in it's like SAS automatically part of the portfolio >>Log off on Friday, come back on Monday and you're good to go. >>And then, and you, you just, you just called out Zscaler and Proofpoint you, I think you also mentioned Palo Alto network, Cisco for net as well. You're pulling in telemetry from, yeah, >>We've got a, we got a long map of, of people that we're integrating with. We talked about Cisco, we talked about for drop and for net, we announced that we're gonna be pulling in telemetry from, from Palo and a range of other vendors, Microsoft and others. And that's what XDR is about. It's about first party and third party integration and making all of the telemetry work together. >>I was talking to George about this yesterday is I think there's a lot of confusion. Sometimes when you have the dogma of cloud native, you know, snowflake, same thing, no, we're not doing OnPrem. This is hybrid. People think that that you're excluding on-prem data, but you're not, you can ingest on-prem data, right? >>We absolutely are not excluding on-prem. We will support and, and secure every workload, whether it's on-prem or in the cloud, whether it's connected to the internet or offline, a lot of the, the indicators of attack and the, and the detection techniques that we have are on the sensor itself. So you don't have to be connected anywhere for that capability to work. You get the benefit when you connect to the cloud of the additional visibility, the additional protection, but the core capabilities on the sensor that we have >>Given that you guys started 11 years ago, plus two days now, and you had that dogma cloud cloud, first cloud cloud, only Nate cloud native. Was there ever a point where you're like, you know, boy, we might be missing some of the market, you know? And, and you, you, you held true to your principles. Two part question. Did you ever question that and by focusing all your resources on cloud, what, what has that given you? >>It's there's been a Eliza focus on having a, a native cloud platform. It's easy to say cloud native. And if you look at a lot of the vendors in the industry today, if you are a, a customer and you ask them, Hey, can you gimme an on-premise product? I'm not gonna buy your product. They've got an on premise product. The problem is when you have two different versions, you end up having compromise. You have to manage two code bases, impact to your engineering team. Their features are different customers. Ultimately are the ones that miss out because if I have the on-prem version or if the cloud version, I may not get the same capability for us, it's been very clear. It's been a laser focus to be a cloud and cloud only from day one. >>You've renamed humo. I gotta stop using humo. I guess it's not called log scale, Falcon, complete log scale. You're bringing together security and observability. Although you're not doing the full spectrum of observability, you're just sort of focusing on, you know, part of it. Can you explain that? >>Yeah. So first of all, we did rebrand and bring the homeo brand closer to a crowd strike by renaming it Falcon log scale. And just to be clear, it's not just the rebranding of the name. We've been spending a lot of time. We made that acquisition in March of, of last year, and we've been doing a lot of work on the technology. We built out long, the Falcon long term retention. We built a whole bunch of capability into the product. So now was the right time to rebrand it as Falcon log scale. And at the same time, we also announced Falcon complete log scale. And it's part of the complete franchise. And that's where customers can get the value and the benefit of log scale, but they don't have to set it up. They don't have to manage it. They leave that to us. >>So you get pretty much involved in, in the, the M and a activity. You talked on stage yesterday about reify and, and what's going on there. You guys got, obviously gotta, still do that. You, but you made investments this week. You announced investments in salt security, the API specialist, and, and also Vanta compliance automation. What's the thinking behind that, you know, explain actually the fund that you guys are sprinkling around as a strategic investor and why those companies. Yeah. >>So there's two, two parts that, that I'm involved in on that part of my team. One is the M and a team. And one is the Falcon fund side of the business. Obviously two very different things. The, the M and a part of CrowdStrike, we're always looking to see for every technology space that we want to get into, you know, what is the best option build by a partner? Sometimes it's built sometimes it's a, it's a hybrid approach of build and partner. Other times we go down the path of M and a, and I was super excited about reify, great company, great technology. And as you said, we made announcements to we're investing as part of the fund into, into van and salt. We, we, we are very blessed. We're very fortunate to have achieved a lot of success in a short period of time. And we think we've got an opportunity to help fledgling companies to help them guide through the process of setting up the company, helping them with engineering principles and guidelines, helping them with the go to market perspective. So the fund is really about that. It's finding the next cybersecurity company working closely together, and it's been a huge success. You had banter and salt on earlier, and there's so much excitement about what they do. >>Yeah. I mean, it's clear, clear, compliment to what you guys are doing. I want to ask you about your lightweight agent. There, there are other firms that say they have a lightweight agent too. You know, what, what makes your lightweight agent so different? So special? >>Yeah. I've never seen a PowerPoint presentation. That's wrong. It's very easy to, to say your lightweight agent is, is, you know, super lightweight. And many times when you look at them, they're, they're not lightweight. They take a lot of effort to install. They need reboots. If you've got security, that's part of the operating system. If you've got security that requires to reboot, you can't go to a bank and say, Hey, you've got a hundred thousand machines. We're gonna install all of this technology, but you've gotta reboot it once, twice, three times. So what ends up happening is you see deployment cycles that go on for 12 months. I've spoken to organizations here this week that said we had budgeted to roll out your product in 18 months because of what we experienced in the past. And we did it in seven weeks. That's a lightweight agent with no reboot. And then you look at the updates. You look at the CPU resource utilization. So again, very easy to say lightweight. I haven't seen anything like what we've built at crowd strike. >>How do you keep an agent lightweight when you're both acquiring in companies and adding modules? I think you're, you're over 20 modules now. How, how is it that the, the agent can remain so lightweight? >>So we spent a lot of time building out the agent cloud architecture that we have, the, the concept of our agent is very different. It's not collecting data, storing it, trying to sell, send it up. We have a smart agent with smart filtering built in. So we're very careful in terms of the data that we collect, but think of the aperture on a camera. You know, if you wanna let more light in you, you widen the aperture. It's the same as our, our agent. If we wanna bring in more telemetry, we, we widen that aperture. So we're very efficient on the network. And we collect data. When machine process runs, we collect that telemetry. We use it in different ways, but we collect once and reuse it many times. So it's the same agent for NextGen AV for EDR, for our spotlight vulnerability management module. And when we're looking at M M and a, so coming back to your, your question, we will look at technology. And if we can't bring that technology and incorporate it into the agent that we already have, we won't acquire it. Worst thing in security is complexity. When you give an organization, 1, 2, 3, 5 plus agents, and then they have 3, 4, 5 plus management consoles. It's too hard when they're under attack. >>Well, it's like my, my business partner co-host John furrier says is that as an industry, we tend to solve complexity with more complexity. And it's, that's problematic. Can you talk about your, your threat graph? Like, what is that? Is it a, is it a graph database? Is it a purpose built? Is it a time series, database, a combination? What, what is >>That? Yeah, it is a graph database. When we, when, when the company was started, obviously the vision was to crowdsource telemetry from so many machines from millions of devices around the world. And the thesis at the time was as that capability scales out, there's nothing commercially available that will be able to ingest all of that data. And today we are processing over 7 trillion events every single week. We, we can't go and get something off the shelf. So we've had to build the, the technology from the ground up. That's the first part. Secondly, there is a temporal element to this. There's a time element. And we, we have an ontology built where we track the relationship between all the telemetry that we get. The reason why I believe we stand alone in EDI is because of that time element, the relationship that we have, and we just have so much context that makes it easy for the threat hunter speed and, and ease of use is critical in cyber. >>So you see in data in the database world, everything's kind of converging with all this function, you know, 11 years ago, these were pretty rudimentary. I shouldn't say rudimentary, but immature markets they've come a long way. If you had to start, if, if those capabilities that are there today with graph databases and time series databases were available in, in 2010, would you have used off the shelf technology, or would you have still developed your >>Own? We would've done the same thing that we've done today. >>And, and why can you explain what that, what that is it a performance thing? Is it just control? >>Yeah, look, it, it, it's everything that I talked about before, the, the benefit that you get from the approach that we've taken and the scalability that the requirements that we need, we still today, there's nothing that we can, we can go and get off the shelf that can scale and give us the performance that we need that can give us the ability to, to have that relationship data, the ontology of, of what we have in the platform and the way that we inter operate with all of the different modules that just wouldn't exist. We wouldn't have that capability. And what you'd find is we'd be pretty much the same as every other vendor where they have on-prem solutions, they have hybrid hosted solutions. And when you have those trade offs, you see it in the product. >>Yeah. So the, the point is you're very focused on the purpose of your, your proprietary technology. You're not trying to serve the all things to all people. You used the term yesterday in your keynote, which it, it caught my attention. You used the term ground truth, and it has very specific meaning. Can you explain what you meant by what is ground truth, you know, in the world? And what, what, what does it mean to CrowdStrike? Yeah, >>I was talking about ground truth as it relates to the acquisition of reify and the big thing for us, we wanted to bring additional capability to the platform, to give our customers external and internal visibility of all their assets and all their vulnerabilities. What's important with us, with our agent is today, we give you a single source of truth. When we put that agent onto a device, we tell you everything about the hardware. We tell you everything about who's logged in. We tell you everything about the applications that are running the relationships between the, of the device and the application. We're not a CMDB. We feed CMDB with information that is instant, that is live. And when we look at reify, it broadens again, I'll use the same word. It broadens the aperture. It gives us more visibility around what's going on. So we're, we're super excited about that because having information about all of your assets, all of your users, the applications they use, whether they're vulnerable, how you need to protect them, having it at your finger fingertips, it's a game changer >>Contract, can CrowdStrike be a generational company. And what do you have to do to ensure that that outcome occurs? We, >>We, I think we absolutely are. And, and we're we're path paving a path to, you know, really continuing to build out that platform. I said, in my keynote that I think we're at an early innings. I, if you buy, for example, as a customer, our insight module, cuz you wanna start with EDR, you've got 21 modules to go yesterday. Today we, we talked about discover 2.0, we talked about discover for IOT. I talked about the, the repository acquisition, a whole range of technology built on that single cloud agent architecture. And we've heard the success stories here this week from customers that have just gotten so much benefit. They've rolled out one agent and they've turned off eight or nine from other security vendors. So absolutely we can be a generational company with what we're doing. What >>Are the blockers to customers turning on those additional modules? Cause not, not all customers are using our modules. Is it that they've made an investment in an alternative technology and they're sort of hugging onto it or are there other technical blockers? Yes. >>It many times it's the investment, right? So if you've made a, an investment in the company, you've got a year to go, you might wanna sweat that asset. But typically what we find is the benefit that we have. It's a very simple conversation. If we can give people a cost and a technology benefit, they're gonna make the transition to move. There's so many technical benefits. We talked about the single agent, but the actual features of the modules themselves. But the big thing for us is we've done over 4,700 business value assessments where we sit down with an organization and we look at what they have. We look at what their spend is. We look at their FTEs, we look at the security outcomes that they get. And then we come out with a model that shows them technology and business value. And that's what really drives them to make the switch. >>So the business value in that VVA is not just a, a reduction in expected loss. That's part of it, better security you're gonna, you know, be, be, be lower your risk. But you're saying it's also the labor associated with that. Yeah, >>Absolutely. It's it's how do you operationalize the solution? How many people do you need? How long does it take you to respond? You know, how do you interact with third parties with your suppliers is taking in all of that data. We've spent a long time building out that model and it's, it's proving to be very successful customers. Love it. Is >>That, is that sort of novel ROI thinking in the security business or I'm trying to think of, I mean, I know for years it would watch art. Coviello stand up at RSA and tell us how, how this year's worse than last year. And so, but, but, but I never really heard, you know, a strong business case that would resonate with the, with the P and L manager, other than, you know, we gotta do this or we're gonna get hacked and you're gonna be screwed. Is that new thinking? Or am I, did I just miss it? >>I don't know if I wanna size new thinking. I think what happened, what changed was 10, 15 years ago at a conference you'd stand up and everybody would tell you ransomwares up and fishing is up. And at the end of it, people are trying to work out. Is that good? Or is that bad? It went up 20% based off what that doesn't work anymore. Everyone, you know, got tired of that. And a few of us have been doing it for a while. I I'm, I'm sort of two and a half decades into this. And if you, if you try to use that model of scaring people, they switch off, they want to understand the benefit. You know, the break in the car is so you can go and stop safely when you need it. And I look at security the same way we want to accelerate the company. We want to help companies do their job, but security is there to make sure they don't get into trouble. >>Yeah. It's like having two security guards by your side, right? I mean, they're gonna help you get through the crowd and move forward. So Michael, thanks so much for coming to the cube. Thanks for having me your time. You're you're very welcome. All right. Keep it right there. After this short break, Dave ante will be back with the cube live coverage from Falcon 22 at the area in Las Vegas.

>>Hi everyone. And welcome to data citizens. Thank you for making the time to join me and the over 5,000 data citizens like you that are looking to become United by data. My name is Jim Cushman. I serve as the chief product officer at Collibra. I have the benefit of sharing with you, the product, vision, and strategy of Culebra. There's several sections to this presentation, and I can't wait to share them with you. The first is a story of how we're taking a business user and making it possible for him or her data, use data and gain. And if it and insight from that data, without relying on anyone in the organization to write code or do the work for them next I'll share with you how Collibra will make it possible to manage metadata at scales, into the billions of assets. And again, load this into our software without writing any code third, I will demonstrate to you the integration we have already achieved with our newest product release it's data quality that's powered by machine learning. >>Right? Finally, you're going to hear about how Colibra has become the most universally available solution in the market. Now, we all know that data is a critical asset that can make or break an organization. Yet organizations struggle to capture the power of their data and many remain afraid of how their data could be misused and or abused. We also observe that the understanding of and access to data remains in the hands of just a small few, three out of every four companies continue to struggle to use data, to drive meaningful insights, all forward looking companies, looking for an advantage, a differentiator that will set them apart from their peers and competitors. What if you could improve your organization's productivity by just 5%, even a modest 5% productivity improvement compounded over a five-year period will make your organization 28% more productive. This will leave you with an overwhelming advantage over your competition and uniting your data. >>Litter employees with data is the key to your success. And dare I say, sorry to unlock this potential for increased productivity, huge competitive advantage organizations need to enable self-service access to data for everyday to literate knowledge worker. Our ultimate goal at Cleaver has always been to enable this self-service for our customers to empower every knowledge worker to access the data they need when they need it. But with the peace of mind that your data is governed insecure. Just to imagine if you had a single integrated solution that could deliver a seamless governed, no code user experience of delivering the right data to the right person at the right time, just as simply as ordering a pair of shoes online would be quite a magic trick and one that would place you and your organization on the fast track for success. Let me introduce you to our character here. >>Cliff cliff is that business analyst. He doesn't write code. He doesn't know Julian or R or sequel, but is data literate. When cliff has presented with data of high quality and can actually help find that data of high-quality cliff knows what to do with it. Well, we're going to expose cliff to our software and see how he can find the best data to solve his problem of the day, which is customer churn. Cliff is going to go out and find this information is going to bring it back to him. And he's going to analyze it in his favorite BI reporting tool. Tableau, of course, that could be Looker, could be power BI or any other of your favorites, but let's go ahead and get started and see how cliff can do this without any help from anyone in the organization. So cliff is going to log into Cleaver and being a business user. >>The first thing he's going to do is look for a business term. He looks for customer churn rate. Now, when he brings back a churn rate, it shows him the definition of churn rate and various other things that have been attributed to it such as data domains like product and customer in order. Now, cliff says, okay, customer is really important. So let me click on that and see what makes up customer definition. Cliff will scroll through a customer and find out the various data concepts attributes that make up the definition of customer and cliff knows that customer identifier is a really important aspect to this. It helps link all the data together. And so cliff is going to want to make sure that whatever source he brings actually has customer identifier in it. And that it's of high quality cliff is also interested in things such as email address and credit activity and credit card. >>But he's now going to say, okay, what data sets actually have customer as a data domain in, and by the way, why I'm doing it, what else has product and order information? That's again, relevant to the concept of customer churn. Now, as he goes on, he can actually filter down because there's a lot of different results that could potentially come back. And again, customer identifier was very important to cliff. So cliff, further filters on customer identifier any further does it on customer churn rate as well. This results in two different datasets that are available to cliff for selection, which one to use? Well, he's first presented with some data quality information you can see for customer analytics. It has a data quality score of 76. You can see for sales data enrichment dataset. It has a data quality score of 68. Something that he can see right at the front of the box of things that he's looking for, but let's dig in deeper because the contents really matter. >>So we see again the score of 76, but we actually have the chance to find out that this is something that's actually certified. And this is something that has a check mark. And so he knows someone he trusts is actually certified. This is a dataset. You'll see that there's 91 columns that make up this data set. And rather than sifting through all of that information, cliff is going to go ahead and say, well, okay, customer identifier is very important to me. Let me search through and see if I can find what it's data quality scores very quickly. He finds that using a fuzzy search and brings back and sees, wow, that's a really high data quality score of 98. Well, what's the alternative? Well, the data set is only has 68, but how about, uh, the customer identifier and quickly, he discovers that the data quality for that is only 70. >>So all things being equal, customer analytics is the better data set for what cliff needs to achieve. But now he wants to look and say, other people have used this, what have they had to say about it? And you can see there are various reviews for different reviews from peers of his, in the organization that have given it five stars. So this is encourages cliffs, a confidence that this is great data set to use. Now cliff wants to look a little bit more detailed before he finally commits to using this dataset. Cliff has the opportunity to look at it in the broader set. What are the things can I learn about customer analytics, such as what else is it related to? Who else uses it? Where did it come from? Where does it go and what actually happens to it? And so within our graph of information, we're able to show you a diagram. >>You can see the customer analytics actually comes from the CRM cloud system. And from there you can inherit some wonderful information. We know exactly what CRM cloud is about as an overall system. It's related to other logical models. And here you're actually seeing that it's related to a policy policy about PII or personally identifiable information. This gets cliff almost the immediate knowledge that there's going to be some customer information in this PII information that he's not going to be able to see given his user role in the organization. But cliff says, Hey, that's okay. I actually don't need to see somebody's name and social security number to do my work. I can actually work with other information in the data file. That'll actually help me understand why our customers churning in, what can I actually do about it. If we dig in deeper, we can see what is personally identifiable information that actually could cause issues. >>And as we scroll down and take a little bit of a focus on what we call or what you'll see here is customer phone, because we'll show that to you a little bit later, but these show the various information that once cliff actually has it fulfilled and delivered to him, he will see that it's actually massed and or redacted from his use. Now cliff might drive in deeper and see more information. And he says, you know what? Another piece that's important to me in my analysis is something called is churned. This is basically suggesting that has a customer actually churned. It's an important flag, of course, because that's the analysis that he's performing cliff sees that the score is a mere 65. That's not exactly a great data quality score, but cliff has, is kind of in a hurry. His bosses is, has come back and said, we need to have this information so we can take action. >>So he's not going to wait around to see if they can go through some long day to quality project before he pursues, but he is going to come up and use it. The speed of thinking. He's going to create a suggestion, an issue. He's going to submit this as a work queue item that actually informs others that are responsible for the quality of data. That there's an opportunity for improvement to this dataset that is highly reviewed, but it may be, it has room for improvement as cliff is actually typing in his explanation that he'll pass along. We can also see that the data quality is made up of multiple components, such as integrity, duplication, accuracy, consistency, and conformity. Um, we see that we can submit this, uh, issue and pass it through. And this will go to somebody else who can actually work on this. >>And we'll show that to you a little bit later, but back to cliff, cliff says, okay, I'd like to, I'd like to work with this dataset. So he adds it to his data basket. And just like if he's shopping online, cliff wants that kind of ability to just say, I want to just click once and be done with it. Now it is data and there's some sensitivity about it. And again, there's an owner of this data who you need to get permission from. So cliff is going to provide information to the owner to say, here's why I need this data. And how long do I need this data for starting on a certain date and ending on a certain date and ultimately, what purpose am I going to have with this data? Now, there are other things that cliff can choose to run. This one is how do you want this day to deliver to you? >>Now, you'll see down below, there are three options. One is borrow the other's lease and others by what does that mean? Well, borrow is this idea of, I don't want to have the data that's currently in this CRM, uh, cloud database moved somewhere. I don't want it to be persistent anywhere else. I just want to borrow it very short term to use in my Tablo report and then poof be gone. Cause I don't want to create any problems in my organization. Now you also see lease. Lease is a situation where you actually do need to take possession of the data, but only for a time box period of time, you don't need it for an indefinite amount of time. And ultimately buy is your ability to take possession of the data and have it in perpetuity. So we're going to go forward with our bar use case and cliff is going to submit this and all the fun starts there. >>So cliff has actually submitted the order and the owner, Joanna is actually going to receive the request for the order. Joanna, uh, opens up her task, UCS there's work to perform. It says, oh, okay, here's this there's work for me to perform. Now, Joanna has the ability to automate this using incorporated workflow that we have in Colibra. But for this situation, she's going to manually review that. Cliff wants to borrow a specific data set for a certain period of time. And he actually wants to be using in a Tablo context. So she reviews. It makes an approval and submits it this in turn, flips it back to cliff who says, okay, what obligations did I just take on in order to work for this data? And he reviews each of these data sharing agreements that you, as an organization would set up and say, what am I, uh, what are my restrictions for using this data site? >>As cliff accepts his notices, he now has triggered the process of what we would call fulfillment or a service broker. And in this situation we're doing a virtualization, uh, access, uh, for the borrow use case. Cliff suggests Tablo is his preferred BI and reporting tool. And you can see the various options that are available from power BI Looker size on ThoughtSpot. There are others that can be added over time. And from there, cliff now will be alerted the minute this data is available to them. So now we're running out and doing a distributed query to get the information and you see it returns back for raw view. Now what's really interesting is you'll see, the customer phone has a bunch of X's in it. If you remember that's PII. So it's actually being massed. So cliff can't actually see the raw data. Now cliff also wants to look at it in a Tablo report and can see the visualization layer, but you also see an incorporation of something we call Collibra on the go. >>Not only do we bring the data to the report, but then we tell you the reader, how to interpret the report. It could be that there's someone else who wants to use the very same report that cliff helped create, but they don't understand exactly all the things that cliff went through. So now they have the ability to get a full interpretation of what was this data that was used, where did it come from? And how do I actually interpret some of the fields that I see on this report? Really a clever combination of bringing the data to you and showing you how to use it. Cliff can also see this as a registered asset within a Colibra. So the next shopper comes through might actually, instead of shopping for the dataset might actually shop for the report itself. And the report is connected with the data set he used. >>So now they have a full bill of materials to run a customer Shern report and schedule it anytime they want. So now we've turned cliff actually into a creator of data assets, and this is where intelligent, it gets more intelligence and that's really what we call data intelligence. So let's go back through that magic trick that we just did with cliff. So cliff went into the software, not knowing if the source of data that he was looking for for customer product sales was even available to him. He went in very quickly and searched and found his dataset, use facts and facets to filter down to exactly what was available. Compare to contrast the options that were there actually made an observation that there actually wasn't enough data quality around a certain thing was important to him, created an idea, or basically a suggestion for somebody to follow up on was able to put that into his shopping basket checkout and have it delivered to his front door. >>I mean, that's a bit of a magic trick, right? So, uh, cliff was successful in finding data that he wanted and having it, deliver it to him. And then in his preferred model, he was able to look at it into Tableau. All right. So let's talk about how we're going to make this vision a reality. So our first section here is about performance and scale, but it's also about codeless database registration. How did we get all that stuff into the data catalog and available for, uh, cliff to find? So allow us to introduce you to what we call the asset life cycle and some of the largest organizations in the world. They might have upwards of a billion data assets. These are columns and tables, reports, API, APIs, algorithms, et cetera. These are very high volume and quite technical and far more information than a business user like cliff might want to be engaged with those very same really large organizations may have upwards of say, 20 to 25 million that are critical data sources and data assets, things that they do need to highly curate and make available. >>But through that as a bit of a distillation, a lifecycle of different things you might want to do along that. And so we're going to share with you how you can actually automatically register these sources, deal with these very large volumes at speed and at scale, and actually make it available with just a level of information you need to govern and protect, but also make it available for opportunistic use cases, such as the one we presented with cliff. So as you recall, when cliff was actually trying to look for his dataset, he identified that the is churned, uh, data at your was of low quality. So he passed this over to Eliza, who's a data steward and she actually receives this work queue in a collaborative fashion. And she has to review, what is the request? If you recall, this was the request to improve the data quality for his churn. >>Now she needs to familiarize herself with what cliff was observing when he was doing his shopping experience. So she digs in and wants to look at the quality that he was observing and sure enough, as she goes down and it looks at his churn, she sees that it was a low 65% and now understands exactly what cliff was referring to. She says, aha, okay. I need to get help. I need to decide whether I have a data quality project to fix the data, or should I see if there's another data set in the organization that has better, uh, data for this. And so she creates a queue that can go over to one of her colleagues who really focuses on data quality. She submits this request and it goes over to, uh, her colleague, John who's really familiar with data quality. So John actually receives the request from Eliza and you'll see a task showing up in his queue. >>He opens up the request and finds out that Eliza's asking if there's another source out there that actually has good is churned, uh, data available. Now he actually knows quite a bit about the quality of information sturdiness. So he goes into the data quality console and does a quick look for a dataset that he's familiar with called customer product sales. He quickly scrolls down and finds out the one that's actually been published. That's the one he was looking for and he opens it up to find out more information. What data sets are, what columns are actually in there. And he goes down to find his churned is in fact, one of the attributes in there. It actually does have active rules that are associated with it to manage the quality. And so he says, well, let's look in more detail and find out what is the quality of this dataset? >>Oh, it's 86. This is a dramatic improvement over what we've seen before. So we can see again, it's trended quite nicely over time each day, it hasn't actually degraded in performance. So we actually responds back to realize and say, this data set, uh, is actually the data set that you want to bring in. It really will improve. And you'll see that he refers to the refined database within the CRM cloud solution. Once he actually submits this, it goes back to Eliza and she's able to continue her work. Now when Eliza actually brings this back open, she's able to very quickly go into the database registration process for her. She very quickly goes into the CRM cloud, selects the community, to which she wants to register this, uh, data set into the schemas community. And the CRM cloud is the system that she wants to load it in. >>And the refined is the database that John told her that she should bring in. After a quick description, she's able to click register. And this triggers that automatic codeless process of going out to the dataset and bringing back its metadata. Now metadata is great, but it's not the end all be all. There's a lot of other values that she really cares about as she's actually registering this dataset and synchronizing the metadata she's also then asked, would you like to bring in quality information? And so she'll go out and say, yes, of course, I want to enable the quality information from CRM refined. I also want to bring back lineage information to associate with this metadata. And I also want to select profiling and classification information. Now when she actually selects it, she can also say, how often do you want to synchronize this? This is a daily, weekly, monthly kind of update. >>That's part of the change data capture process. Again, all automated without the require of actually writing code. So she's actually run this process. Now, after this loads in, she can then open up this new registered, uh, dataset and actually look and see if it actually has achieved the problem that cliff set her out on, which was improved data quality. So looking into the data quality for the is churn capability shows her that she has fantastic quality. It's at a hundred, it's exactly what she was looking for. So she can with confidence actually, uh, suggest that it's done, but she did notice something and something that she wants to tell John, which is there's a couple of data quality checks that seem to be missing from this dataset. So again, in a collaborative fashion, she can pass that information, uh, for validity and completeness to say, you know what, check for NOLs and MPS and send that back. >>So she submits this onto John to work on. And John now has a work queue in his task force, but remember she's been working in this task forklift and because she actually has actually added a much better source for his churn information, she's going to update that test that was sent to her to notify cliff that the work has actually been done and that she actually has a really good data set in there. In fact, if you recall, it was 100% in terms of its data quality. So this will really make life a lot easier for cliff. Once he receives that data and processes, the churn report analysis next time. So let's talk about these audacious performance goals that we have in mind. Now today, we actually have really strong performance and amazing usability. Our customers continue to tell us how great our usability is, but they keep asking for more well, we've decided to present to you. >>Something you can start to bank on. This is the performance you can expect from us on the highly curated assets that are available for the business users, as well as the technical and lineage assets that are more available for the developer uses and for things that are more warehoused based, you'll see in Q1, uh, our Q2 of this year, we're making available 5 million curated assets. Now you might be out there saying, Hey, I'm already using the software and I've got over 20 million already. That's fair. We do. We have customers that are actually well over 20 million in terms of assets they're managing, but we wanted to present this to you with zero conditions, no limitations we wouldn't talk about, well, it depends, et cetera. This is without any conditions. That's what we can offer you without fail. And yes, it can go higher and higher. We're also talking about the speed with which you can ingest the data right now, we're ingesting somewhere around 50,000 to a hundred thousand records per and of course, yes, you've probably seen it go quite a bit faster, but we are assuring you that that's the case, but what's really impressive is right now, we can also, uh, help you manage 250 million technical assets and we can load it at a speed of 25 million for our, and you can see how over the next 18 months about every two quarters, we show you dramatic improvements, more than doubling of these. >>For most of them leading up to the end of 2022, we're actually handling over a billion technical lineage assets and we're loading at a hundred million per hour. That sets the mark for the industry. Earlier this year, we announced a recent acquisition Al DQ. LDQ brought to us machine learning based data quality. We're now able to introduce to you Collibra data quality, the first integrated approach to Al DQ and Culebra. We've got a demo to follow. I'm really excited to share it with you. Let's get started. So Eliza submitted a task for John to work on, remember to add checks for no and for empty. So John picks up this task very quickly and looks and sees what's what's the request. And from there says, ah, yes, we do have a quality check issue when we look at these churns. So he jumps over to the data quality console and says, I need to create a new data quality test. >>So cliff is able to go in, uh, to the solution and, uh, set up quick rules, automated rules. Uh, he could inherit rules from other things, but it starts with first identifying what is the data source that he needs to connect to, to perform this. And so he chooses the CRM refined data set that was most recently, uh, registered by Lysa. You'll see the same score of 86 was the quality score for the dataset. And you'll also see, there are four rules that are associated underneath this. Now there are various checks that, uh, that John can establish on this, but remember, this is a fairly easy request that he receives from Eliza. So he's going to go in and choose the actual field, uh, is churned. Uh, and from there identify quick rules of, uh, an empty check and that quickly sets up the rules for him. >>And also the null check equally fast. This one's established and analyzes all the data in there. And this sets up the baseline of data quality, uh, for this. Now this data, once it's captured then is periodically brought back to the catalog. So it's available to not only Eliza, but also to cliff next time he, uh, where to shop in the environment. As we look through the rules that were created through that very simple user experience, you can see the one for is empty and is no that we're set up. Now, these are various, uh, styles that can be set up either manually, or you can set them up through machine learning again, or you can inherit them. But the key is to track these, uh, rule creation in the metrics that are generated from these rules so that it can be brought back to the catalog and then used in meaningful context, by someone who's shopping and the confidence that this has neither empty nor no fields, at least most of them don't well now give a confidence as you go forward. >>And as you can see, those checks have now been entered in and you can see that it's a hundred percent quality score for the Knoll check. So with confidence now, John can actually respond back to Eliza and say, I've actually inserted them they're up and running. And, uh, you're in good status. So that was pretty amazing integration, right? And four months after our acquisition, we've already brought that level of integration between, uh, Colibra, uh, data intelligence, cloud, and data quality. Now it doesn't stop there. We have really impressive and high site set early next year. We're getting introduced a fully immersive experience where customers can work within Culebra and actually bring the data quality information all the way in as well as start to manipulate the rules and generate the machine learning rules. On top of it, all of that will be a deeply immersive experience. >>We also have something really clever coming, which we call continuous data profiling, where we bring the power of data quality all the way into the database. So it's continuously running and always making that data available for you. Now, I'd also like to share with you one of the reasons why we are the most universally available software solutions in data intelligence. We've already announced that we're available on AWS and Google cloud prior, but today we can announce to you in Q3, we're going to be, um, available on Microsoft Azure as well. Now it's not just these three cloud providers that were available on we've also become available on each of their marketplaces. So if you are buying our software, you can actually go out and achieve that same purchase from their marketplace and achieve your financial objectives as well. We're very excited about this. These are very important partners for, uh, for our, for us. >>Now, I'd also like to introduce you our system integrators, without them. There's no way we could actually achieve our objectives of growing so rapidly and dealing with the demand that you customers have had Accenture, Deloitte emphasis, and even others have been instrumental in making sure that we can serve your needs when you need them. Uh, and so it's been a big part of our growth and will be a continued part of our growth as well. And finally, I'd like to actually introduce you to our product showcases where we can go into absolute detail on many of the topics I talked about today, such as data governance with Arco or data privacy with Sergio or data quality with Brian and finally catalog with Peter. Again, I'd like to thank you all for joining us. Uh, and we really look forward to hearing your feedback. Thank you..

>> Hi, I'm Peter Burris and welcome to another Wikibon Action Item. (electronic music) Once again, we're broadcasting from theCUBE studios in beautiful Palo Alto. Here in the studio with me are George Gilbert and David Floyer. And remote, we have Neil Raden and Jim Kobielus. Welcome everybody. >> David: Thank you. >> So this is kind of an interesting topic that we're going to talk about this week. And it really is how are we going to find new ways to generate derivative use out of many of the applications, especially web-based applications that are have been built over the last 20 years. A basic premise of digital business is that the difference between business and digital business is the data and how you craft data as an asset. Well, as we all know in any universal Turing machine, data is the basis for representing both the things that you're acting upon but also the algorithms, the software itself. Software is data and the basic principles of how we capture software oriented data assets or software assets and then turn them into derivative sources of value and then reapply them to new types of problems is going to become an increasingly important issue as we think about the world of digital business is going to play over the course of the next few years. Now, there are a lot of different domains where this might work but one in particular that's especially as important is in the web application world where we've had a lot of application developers and a lot of tools be a little bit more focused on how we use web based services to manipulate things and get software to do the things we want to do and also it's a source of a lot of the data that's been streaming into big data applications. And so it's a natural place to think about how we're going to be able to create derivative use or derivative value out of crucial software assets. How are we going to capture those assets, turn them into something that has a different role for the business, performs different types of work, and then reapply them. So to start the conversation, Jim Kobielus. Why don't you take us through what some of these tools start to look like. >> Hello, Peter. Yes, so really what we're looking at here, in order to capture these assets, the web applications, we first have to generate those applications and the bulk of that worker course is and remains manual. And in fact, there is a proliferation of web application development frameworks on the market and the range of them continues to grow. Everything from React to Angular to Ember and Node.js and so forth. So one of the core issues that we're seeing out there in the development world is... are there too many of these. Is there any prospect for simplification and consolidation and convergence on web application development framework to make the front-end choices for developers a bit easier and straightforward in terms of the front-end development of JavaScript and HTML as well as the back-end development of the logic to handle the interactions; not only with the front-end on the UI side but also with the infrastructure web services and so forth. Once you've developed the applications, you, a professional programmer, then and only then can we consider the derivative uses you're describing such as incorporation or orchestration of web apps through robotic process automation and so forth. So the issue is how can we simplify or is there a trend toward simplification or will there soon be a trend towards simplification of a front-end manual development. And right now, I'm not seeing a whole lot of action in this direction of a simplification on the front-end development. It's just a fact. >> So we're not seeing a lot of simplification and convergence on the actual frameworks for creating software or creating these types of applications. But we're starting to see some interesting trends for stuff that's already been created. How can we generate derivative use out of it? And also per some of our augmented programming research, new ways of envisioning the role that artificial intelligence machine learning, etc, can play in identifying patterns of utilization so that we are better able to target those types of things that could be used for derivative or could be applied to derivative use. Have I got that right, Jim? >> Yeah, exactly. AI within robotic process automation, anything that could has already been built can be captured through natural language processing, through a computer image recognition, OCR, and so forth. And then trans, in that way, it's an asset that can be repurposed in countless ways and that's the beauty RPA or where it's going. So the issue is then not so much capture of existing assets but how can we speed up and really automate the original development of all that UI logic? I think RPA is part of the solution but not the entire solution, meaning RPA provides visual front-end tools for the rest of us to orchestrate more of the front-end development of the application UI and interaction logic. >> And it's also popping up-- >> That's part of broader low-code-- >> Yeah, it's also popping up at a lot of the interviews that we're doing with CIOs about related types of things but I want to scope this appropriately. So we're not talking about how we're going to take those transaction processing applications, David Floyer, and envelope them and containerize them and segment them and apply a new software. That's not what we're talking about, nor are we talking about the machine to machine world. Robot process automation really is a tool for creating robots out of human time interfaces that can scale the amount of work and recombine it in different ways. But we're not really talking about the two extremes. The hardcore IoT or the hardcore systems of record. Right? >> Absolutely. But one question I have for Jim and yourself is the philosophy for most people developing these days is mobile first. The days of having an HTML layout on a screen have gone. If you aren't mobile first, that's going to be pretty well a disaster for any particular development. So Jim, how does RPA and how does your discussion fit in with mobile and all of the complexity that mobile brings? All of the alternative ways that you can do things with mobile. >> Yeah. Well David, of course, low-code tools, there are many. There are dozens out there. There are many of those that are geared towards primarily supporting of fast automated development of mobile applications to run on a variety of devices and you know, mobile UIs. That's part of the solution as it were but also in the standard web application development world. know there's these frameworks that I've described. Everything from React to Angular to Vue to Ember, everything else, are moving towards a concept, more than concept, it's a framework or paradigm called progressive web apps. And what progressive web apps are all about, that's really the mainstream of web application development now is blurring the distinction between mobile and web and desktop applications because you build applications, JavaScript applications for browsers. The apps look and behave as if they were real-time interactive in memory mobile apps. What that means is that they download fresh content throughout a browsing session progressively. I'm putting to determine air quotes because that's where the progressive web app comes in. And they don't require the end-user to visit an app store or download software. They don't require anything in terms of any special capabilities in terms of synchronizing data from servers to run in memory natively inside of web accessible containers that are local to the browser. They just feel mobile even though they, excuse me, they may be running on a standard desktop with narrowband connectivity and so forth. So they scream and they scream in the context of their standard JavaScript Ajax browser obsession. >> So when we think about this it got, jeez Jim it almost sounds like like client-side Java but I think you're we're talking about something, as you said, that that evolves as the customer uses it and there's a lot of techniques and approaches that we've been using to do some of those things. But George Gilbert, the reason I bring up the notion of client-side Java is because we've seen other initiatives over the years try to do this. Now, partly they failed because, David Floyer, they focused on too much and tried to standardize or presume that everything required a common approach and we know that that's always going to fail. But what are some of the other things that we need to think about as we think about ways of creating derivative use out of software or in digital assets. >> Okay, so. I come at it from two angles. And as Jim pointed out, there's been a Cambrian explosion of creativity and innovation on frankly on client-side development and server-side development. But if you look at how we're going to recombine our application assets, we tried 20 years ago with EAI but that was, and it's sort of like MuleSoft but only was for on-prem apps. And it didn't work because every app was bespoke essentially-- >> Well, it worked for point-to-point classes of applications. >> Yeah, but it required bespoke development for every-- >> Peter: Correct. >> Every instance because the apps were so customized. >> Peter: And the interfaces were so customized. >> Yes. At the same time we were trying to build higher-level application development capabilities on desktop productivity tools with macros and then scripting languages, cross application, and visual development or using applications as visual development building blocks. Now, you put those two things together and you have the ability to work with user interfaces by building on, I'm sorry, to work with applications that have user interfaces and you have the functionality that's in the richer enterprise applications and now we have the technology to say let's program by example on essentially a concrete use case and a concrete workflow. And then you go back in and you progressively generalize it so it can handle more exception conditions and edge conditions. In other words, you start with... it's like you start with the concrete and you get progressively more abstract. >> Peter: You start with the work that the application performs. >> Yeah. >> And not knowledge of the application itself. >> Yes. But the key thing is, as you said, recombining assets because we're sort of marrying the best of EAI world with the best of the visual client-side development world. Where, as Jim points out, machine learning is making it easier for the tools to stay up to date as the user interfaces change across releases. This means that, I wouldn't say this as easy as spreadsheet development, it's just not. >> It's not like building spreadsheet macros but it's more along those lines. >> Yeah, but it's not as low-level as just building raw JavaScript because, and Jim's great example of JavaScript client-side frameworks. Look at our Gmail inbox application that millions of people use. That just downloads a new version whenever they want to drop it and they're just shipping JavaScript over to us. But the the key thing and this is, Peter, your point about digital business. By combining user interfaces, we can bridge applications that were silos then we can automate the work the humans were doing to bridge those silos and then we can reconstitute workflows in much more efficient-- >> Around the digital assets, which is kind of how business ultimately evolves. And that's a crucial element of this whole thing. So let's change direction a little bit because we're talking about, as Jim said, we've been talking about the fact that there are all these frameworks out there. There may be some consolidation on the horizon, we're researching that right now. Although there's not a lot of evidence that it's happening but there clearly is an enormous number of digital assets that are in place inside these web-based applications, whether it be relative to mobile or something else. And we want to find derivative use of or we want to create derivative use out of them and there's some new tools that allow us to do that in a relatively simple straightforward way, like RPA and there are certainly others. But that's not where this ends up. We know that this is increasingly going to be a target for AI, what we've been calling augmented programming and the ability to use machine learning and related types of technologies to be able to reveal, make transparent, gain visibility into, patterns within applications and within the use of data and then have that become a crucial feature of the development process. And increasingly even potentially to start actually creating code automatically based on very clear guidance about what work needs to be performed. Jim, what's happening in that world right now? >> Oh, let's see. So basically, I think what's going to happen over time is that more of the development cycle for web applications will incorporate not just the derivative assets, the AI to be able to decompose existing UI elements and recombine them. Enable flexible and automated recombination in various ways but also will enable greater tuning of the UI in an automated fashion through A/B testing that's in line to the development cycle based on metrics that AI is able to sift through in terms of... different UI designs can be put out into production applications in real time and then really tested with different categories of users and then the best suited or best fit a design based on like reducing user abandonment rates and speeding up access to commonly required capabilities and so forth. The metrics can be rolled in line to the automation process to automatically select the best fit UI design that had been developed through automated means. In other words, this real-world experimentation of the UI has been going on for quite some time in many enterprises and it's often, increasingly it involves data scientists who are managing the predictive models to sort of very much drive the whole promotion process of promoting the best fit design to production status. I think this will accelerate. We'll take more of these in line metrics on UI and then we brought, I believe, into more RPA style environments so the rest of us building out these front ends are automating more of our transactions and many more of the UIs can't take advantage of the fact that we'll let the infrastructure choose the best fit of the designs for us without us having to worry about doing A/B testing and all that stuff. The cloud will handle it. >> So it's a big vision. This notion of it, even eventually through more concrete standard, well understood processes to apply some of these AIML technologies to being able to choose options for the developer and even automate some elements of those options based on policy and rules. Neil Raden, again, we've been looking at similar types of things for years. How's that worked in the past and let's talk a bit about what needs to happen now to make sure that if it's going to work, it's going to work this time. >> Well, it really hasn't worked very well. And the reason it hasn't worked very well is because no one has figured out a representational framework to really capture all the important information about these objects. It's just too hard to find them. Everybody knows that when you develop software, 80% of it is grunt work. It's just junk. You know, it's taking out the trash and it's setting things up and whatever. And the real creative stuff is a very small part of it. So if you could alleviate the developer from having to do all that junk by just picking up pieces of code that have already been written and tested, that would be big. But the idea of this has been overwhelmed by the scale and the complexity. And people have tried to create libraries like JavaBeans and object-oriented programming and that sort of thing. They've tried to create catalogs of these things. They've used relational databases, doesn't work. My feeling and I hate to use the word because it always puts people to sleep is some kind of ontology that's deep enough and rich enough to really do this. >> Oh, hold on Neil, I'm feeling... (laughs) >> Yeah. Well, I mean, what good is it, I mean go to Git, right. You can find a thousand things but you don't know which one is really going to work for you because it's not rich enough, it doesn't have enough information. It needs to have quality metrics. It needs to have reviews by people who have used converging and whatever. So that's that's where I think we run into trouble. >> Yeah, I know. >> As far as robots, yeah? >> Go ahead. >> As far as robots writing code, you're going to have the same problem. >> No, well here's where I think it's different this time and I want to throw it out to you guys and see if it's accurate and we'll get to the action items. Here's where I think it's different. In the past, partly perhaps because it's where developers were most fascinated, we try to create object-oriented database and object oriented representations of data and object oriented, using object oriented models as a way of thinking about it. And object oriented code and object oriented this and and a lot of it was relatively low in the stack. And we try to create everything from scratch and it turned out that whenever we did that, it was almost like CASE from many years ago. You create it in the tool and then you maintain it out of the tool and you lose all organization of how it worked. What we're talking about here, and the reason why I think this is different, I think Neil is absolutely right. It's because we're focusing our attention on the assets within an application that create the actual business value. What does the application do and try to encapsulate those and render those as things that are reusable without necessarily doing an enormous amount of work on the back-end. Now, we have to be worried about the back-end. It's not going to do any good to do a whole bunch of RPA or related types of stuff on the front-end that kicks off an enormous number of transactions that goes after a little server that's 15 years old. That's historically only handled a few transactions a minute. So we have to be very careful about how we do this. But nonetheless, by focusing more attention on what is generating value in the business, namely the actions that the application delivers as opposed to knowledge of the application itself, namely how it does it then I think that we're constraining the problem pretty dramatically subject to the realities of what it means to actually be able to maintain and scale applications that may be asked to do more work. What do you guys think about that? >> Now Peter, let me say one more thing about this, about robots. I think you're all a lot more sanguine about AI and robots doing these kinds of things. I'm not. Let me read to you have three pickup lines that a deep neural network developed after being trained to do pickup lines. You must be a tringle? 'Cause you're the only thing here. Hey baby, you're to be a key? Because I can bear your toot? Now, what kind of code would-- >> Well look, the problems look, we go back 50 years and ELIZA and the whole notion of whatever it was. The interactive psychology. Look, let's be honest about this. Neil, you're making a great point. I don't know that any of us are more or less sanguine and that probably is a good topic for a future action item. What are the practical limits of AI and how that's going to change over time. But let's be relatively simple here. The good news about applying AI inside IT problems is that you're starting with engineered systems, with engineered data forms, and engineered data types, and you're working with engineers, and a lot of that stuff is relatively well structured. Certainly more structured than the outside world and it starts with digital assets. That's why a AI for IT operations management is more likely. That's why AI for application programming is more likely to work as opposed to AI to do pickup lines, which is as you said semantically it's all over the place. There's very, very few people that are going to conform to a set of conventions for... Well, I want to move away from the concept of pickup lines and set conventions for other social interactions that are very, very complex. We don't look at a face and get excited or not in a way that corresponds to an obvious well-understood semantic problem. >> Exactly, the value that these applications deliver is in their engagement with the real world of experience and that's not the, you can't encode the real world of human lived experience in a crisp clear way. It simply has to be proven out in the applications or engagement through people or not through people, with the real world outcome and then some outcomes like the ones that Neil read off there, in terms of those ridiculous pickup lines. Most of those kinds of automated solutions won't make a freaking bit of sense because you need humans with their brains. >> Yeah, you need human engagement. So coming back to this key point, the constraint that we're putting on this right now and the reason why certainly, perhaps I'm a little bit more ebullient than you might be Neil. But I want to be careful about this because I also have some pretty strong feelings about where what the limits of AI are, regardless of what Elon Musk says. That at the end of the day, we're talking about digital objects, not real objects, that are engineered, not, haven't evolved over a few billion years, to deliver certain outputs and data that's been tested and relatively well verified. As opposed to have an unlimited, at least from human experience standpoint, potential set of outcomes. So in that small world and certainly the infrastructure universe is part of that and what we're saying is increasingly the application development universe is going to be part of that as part of the digital business transformation. I think it's fair to say that we're going to start seeing AI machine learning and some of these other things being applied to that realm with some degree of success. But, something to watch for. All right, so let's do action item. David Floyer, why don't we start with you. Action item. >> In addressing this, I think that the keys in terms of business focus is first of all mobiles, you have to design things for mobile. So any use of any particular platform or particular set of tools has to lead to mobile being first. And the mobiles are changing rapidly with the amount of data that's being generated on the mobile itself, around the mobile. So that's the first point I would make from a business perspective. And the second is that from a business perspective, one of the key things is that you can reduce cost. Automation must be a key element of this and therefore designing things that will take out tasks and remove tasks, make things more efficient, is going to be an incredibly important part of this. >> And reduce errors. >> And reduce errors, absolutely. Probably most important is reduce errors. Is to take those out of the of the chain and where you can speed things up by removing human intervention and human tasks and raising what humans are doing to a higher level. >> Other things. George Gilbert, action item. >> Okay, so. Really quickly on David's point that we have many more application forms and expressions that we have to present like mobile first. And going back to using RPA as an example. The UiPath product that we've been working with, the core of its capability is to be able to identify specific UI elements in a very complex presentation, whether it's on a web browser or whether it's on a native app on your desktop or whether it's mobile. I don't know how complete they are on mobile because I'm not sure if they did that first but that core capability to identify in a complex, essentially collection and hierarchy of UI elements, that's what makes it powerful. Now on the AI part, I don't think it's as easy as pointing it at one app and then another and say go make them talk. It's more like helping you on the parts where they might be a little ambiguous, like if pieces move around from release to release, things like that. So my action item is say start prototyping with the RPA tools because that's probably, they're probably robust enough to start integrating your enterprise apps. And the only big new wrinkle that's come out in the last several weeks that is now in everyone's consciousness is the MuleSoft acquisition by Salesforce because that's going back to the EAI model. And we will see more app to app integration at the cloud level that's now possible. >> Neil Raden, action item. >> Well, you know, Mark Twain said, there's only two kinds of people in the world. The kind who think there are only two kinds of people in the world and the ones who know better. I'm going to deviate from that a little and say that there's really two kinds of software developers in the world. They're the true computer scientists who want to write great code. It's elegant, it's maintainable, it adheres to all the rules, it's creative. And then there's an army of people who are just trying to get something done. So the boss comes to you and says we've got to get a new website up apologizing for selling the data of 50 million of our customers and you need to do it in three days. Now, those are the kind of people who need access to things that can be reused. And I think there's a huge market for that, as well as all these other software development robots so to speak. >> Jim Kobielus, action item. >> Yeah, for simplifying web application development, I think that developers need to distinguish between back-end and front-end framework. There's a lot of convergence around the back-end framework. Specifically Node.js. So you can basically decouple the decision in terms of front-end frameworks from that and you need to write upfront. Make sure that you have a back-end that supports many front ends because there are many front ends in the world. Secondly, the front ends themselves seem to be moving towards React and Angular and Vue as being the predominant ones. You'll find more programmers who are familiar with those. And then thirdly, as you move towards consolidation on to fewer frameworks on the front-end, move towards low-code tools that allow you just with the push of a button, you know visual development, being able to deploy the built out UI to a full range of mobile devices and web applications. And to close my action item... I'll second what David said. Move toward a mobile first development approach for web applications with a focus on progressive web applications that can run on mobiles and others. Where they give a mobile experience. With intermittent connectivity, with push notifications, with a real-time in memory fast experience. Move towards a mobile first development paradigm for all of your your browser facing applications and that really is the simplification strategy you can and should pursue right now on the development side because web apps are so important, you need a strategy. >> Yeah, so mobile irrespective of the... irrespective of the underlying biology or what have you of the user. All right, so here's our action item. Our view on digital business is that a digital business uses data differently than a normal business. And a digital business transformation ultimately is about how do we increase our visibility into our data assets and find new ways of creating new types of value so that we can better compete in markets. Now, that includes data but it also includes application elements, which also are data. And we think increasingly enterprises must take a more planful and purposeful approach to identifying new ways of deriving additional streams of value out of application assets, especially web application assets. Now, this is a dream that's been put forward for a number of years and sometimes it's work better than others. But in today's world we see a number of technologies emerging that are likely, at least in this more constrained world, to present a significant new set of avenues for creating new types of digital value. Specifically tools like RPA, remote process automation, that are looking at the outcomes of an application and allow programmers use a by example approach to start identifying what are the UI elements, what those UI elements do, how they could be combined, so that they can be composed into new things and thereby provide a new application approach, a new application integration approach which is not at the data and not at the code but more at the work that a human being would naturally do. These allow for greater scale and greater automation and a number of other benefits. The reality though is that you also have to be very cognizant as you do this, even though you can find these, find these assets, find a new derivative form and apply them very quickly to new potential business opportunities that you have to know what's happening at the back-end as well. Whether it's how you go about creating the assets, with some of the front-end tooling, and being very cognizant of which front ends are going to be better or not better or better able at creating these more reusable assets. Or whether you're talking about still how relatively mundane things like how a database serialized has access to data and will fall over because you've created an automated front-end that's just throwing a lot of transactions at it. The reality is there's always going to be complexity. We're not going to see all the problems being solved but some of the new tools allow us to focus more attention on where the real business value is created by apps, find ways to reuse that, and apply it, and bring it into a digital business transformation approach. All right. Once again. George Gilbert, David Floyer, here in the studio. Neil Raden, Jim Kobielus, remote. You've been watching Wikibon Action Item. Until next time, thanks for joining us. (electronic music)

>> Hello and welcome to a special CUBE Conversation. I'm John Furrier, the co-founder of SiliconANGLE on theCUBE. We're here in Sundance 2018 at the Intel Tech Lounge for a panel discussion with experts on the topic of The New Creative. We believe a new creative renaissance is coming in application development and also artistry. The role of craft and the role of technology and software coming together at the intersection. You're seeing results in the gaming industry. Virtual reality, augmented reality, mixed reality. A new wave is coming and it's really inspiring, but also there's a few thought leaders at the front end of this big wave setting the trends and they're here with us in this special panel for The New Creative. Here with us is Brooks Browne, Global Director of VR at Starbreeze Studios, a lot to share there, welcome to the panel. Lisa Watt, VR Marketing Strategist at Intel, Intel powering a lot of these VR games here. And Winslow Porter, co-founder and director of The New Reality Company. Many submissions at Sundance. Not this year, but a ton of experience talk about the role of Sundance and artistry. And then we have Gary Radburn who's a director of commercial VR and AR from media within Dell, Dell Technologies. Guys, welcome to this panel. Lisa, I want to start off with you at Intel. Obviously the Tech Lounge here, phenomenal location on Main Street in Sundance. Really drawing a massive crowd. Yesterday it was packed. This is a new generation here and you're seeing a younger demographic. You're seeing savvier consumers. They love tech, but interesting Sundance is turning into kind of an artistry tech show and the game is changing, your thoughts on this new creative. >> Yeah, it's been amazing to watch. I've been here for, this is my third year coming back with VR experiences. And it's really just been incredible to see. Sundance has been on the leading edge of exploring new technologies for a long time and I think this is, I feel like you know this feels like the break out year really. I mean, it's been successful the last few years, but something about this year feels a little bit different. And I think maybe it's the people are getting more familiar with the technology. I think the artists are getting more comfortable with how to push the boundaries. And then we certainly are getting a lot out of seeing what they're doing and how we can improve our products in the future. >> We were talking yesterday, Lisa, about the dynamic at Sundance. And you were mentioning that you see a few trends popping out. What is the most important story this year for the folks who couldn't make it, who might be watching this video that you see at Sundance? Obviously it's a great day today, it's snowing, it's a white day, it's beautiful powder, greatest snow on Earth. But there's some trends that are emerging. We had a march this morning, the Women's March. You're seeing interesting signals. What's your view? >> I think there's a lot less desire to put up with subpar experiences. I mean I think everyone is really starting to push the boundaries, I mean, we saw a lot of 360 video which we love for a linear narrative. But they're really breaking out and really exploring what does it mean to have autonomy especially in the virtual reality experiences, a lot more social is coming to the forefront. And then a lot more exploration of haptics and the new ways of extending into more 4D effects, etc. So I think it's very very exciting. We're really excited to see all the new innovations. >> Winslow, I want to ask you, if you can comment, you've been an active participant in the community with submissions here at Sundance. This year you're kind of chilling out, hanging out. You've been on the front lines, what is your take on the vibe? What's the sentiment out there? Because you're seeing the wave coming, we're feeling it. It feels early. I don't know how early it is, and the impact to people doing great creative work. What's that take? >> Well yeah, it's kind of like VR years are like dog years, you know. Like a lot can happen in a month in the VR space. So I had a piece here in 2014 called Clouds. It was an interactive documentary about Creative Code, but that was back when there was only two other VR pieces. It's interesting to see how the landscape has changed. Because CCP Games had a piece there. An early version of E Valkyrie. And unfortunately in the last three months, they had to close their VR wing. So, and then Chris Milk also had a Lincoln piece with Beck. Which was a multi camera 360, actually it was a flash video that they recorded to the DK1. And so that was, seeing that everyone was, saw the potential. The technology was still pretty rudimentary or crude even, we should say. Before any tracking cameras. But every year people learned from previous Sundances and other festivals. And we're seeing that Sundance kind of raises the bar every year. It's nice that it's in January because then there's all these other festivals that sort of follow through with either similar content, newer versions of content that's here, or people have just sort of learned from what is here. >> So I got to ask you. You know, obviously Sundance is known for pushing the boundaries. You see a lot of creative range. You see a lot of different stuff. And also you mentioned the VR. We've seen some failures, you've seen some successes, but that's growth. This market has to have some failures. Failures create opportunities to folks who are reiterating in that. What are some of the things that you can point to that are a positive? Things that have happened whether they're failures and/or successes, that folks can learn from? >> Well, I think that this year there's a lot more social VR. We're connecting people. Even though they're in the same space, they're able to be in this new virtual world together. There's something amazing about being able to interact with people in real life. But as soon as you have sort of a hyper reality where people are able to be experiencing a Sufi ritual together. Things that you wouldn't normally... That they're not possible in the real world. And also, I think that there's issues with lines too. Obviously every year, but the more that we can have larger experiences with multiple people, the more people we can get through. And then more impact we can make on the audience. It's really... We were in claim jumper last year. And we could only get one person in every 10 minutes. And that makes things pretty tricky. >> And what are you doing at Sundance this year? You've obviously got some stuff going on with some of the work you've done. What's your focus? >> So yeah we have a company called New Reality Company where we produce Giant and Tree. It's part of a trilogy where Breathe is going to be the third part. We're going to be completing that by the end of this year. And right now, I would say the best thing about Sundance is the projects, but also the people. Being able to come here, check in, meet new people, see partners that we've been working with in the past. Also new collaborations, everywhere you turn, there's amazing possibilities abound. >> I want to talk about empathy and social. I mentioned social's interesting in these trends. I want to go to Brooks Brown, who's got some really interesting work with Starbreeze and the Hero project. You know, being a pioneer, you've got to take a few arrows in your back, you've got to blow peoples' minds. You're doing some pretty amazing work. You're in the front lines as well. What's the experience that you're seeing? Talk about your project and its impact. >> Well for us, we set out with our partner's ink stories, Navid Khonsari, a wonderful creative, and his entire team to try to create that intensely personal experience kind of moving the opposite direction of these very much social things. The goal, ultimately being to try to put a person inside of an event rather than a game style situation where you have objective A, B, or C. Or a film that's a very, very hyper linear narrative. What is that sort of middle ground that VR itself has as unique medium? So we built out our entire piece. Deep 4D effects, everything is actually physically built out so you have that tactility as you walk around. Things react to you. We have smell, temperature, air movement, the audio provided by our partners at DTS is exceptional. And the goal is ultimately to see if we put you in a situation... I'm doing my best not to talk about what that situation is. It's pretty important to that. But to watch people react. And the core concept is would you be a hero? All over the world, every day people are going through horrific stuff. We're fortunate because we're the kind of people who, in order to experience, say a tragedy in Syria, we're fortunate that we have to go to Park City, Utah and go in virtual reality to experience something that is tragic, real, and deeply emotional. And so our goal is to put people through that and come out of it changed. Traumatized actually. So that way you have a little bit more empathy into the real world into the actual experiences they went through. >> And what's the goal? This is interesting because most of the some stuff you see, the sizzle out there is look at the beautiful vistas and the beaches and the peaks and you can almost be there. Now you're taking a different approach of putting people in situations that probe some emotional responses. >> Yeah. It's a big deal to us. The way Navid like to put it, and I'm going to steal this from him, is you see a great deal of people prototyping on hardware and all of these things, and it's great cause we need that. We need to be able to stand on the shoulders of those giants to be able to do these things. But you see very few people really prototyping what is the concept of story as per VR? We've been doing, at Starbreeze, we've been doing location based for some time now and I've been getting thousands upon thousands of pitches. And whenever you get a pitch, you can pretty much identify, oh you come from a film background, you come from a games background. There's very few people who come down that middle line and go, well this is what VR is supposed to be. This is that interesting thing that makes it very deeply unique. >> What's the confluence and what's the trend in your mind as this changes? Cause you mentioned that gamers have affinity towards VR. We were talking about that before we came on the panel. You know, pump someone in mainstream USA or around the world who does email, does work, may not be there, you're seeing this confluence. How is that culture shifting? How do you see that? Cause you're bringing a whole nother dimension. >> We're trying to go back to a little bit, something about this Sundance being a little bit different. I think in general in VR, you're seeing this sort of shift from a few years ago it was all potentiality. And I think a lot of us, the projects were great, but a lot of us who work in VR were like oh I see what they're trying to do. And people like my dad would be like I don't. I don't see what they're trying to do. But that is shifting. And you're seeing a larger shift into that actuality where we're not quite there yet where we can talk about the experiences every day Americans are going to have. What is the real ready player one that we're actually going to have existing. We're not there yet, but we're much closer every time. And we're starting to see a lot of these things that are pushing towards that. Final question before I go to some of the speeds and feeds questions I want to get with Intel and Dell on is what is the biggest impact that you're seeing with your project and VR in general that will have the most important consequences for societal impact? >> Well, we were fortunate yesterday we had a number of people come through Hero. And a number of them simply actually couldn't handle it. Had to come out. We had to pull people out. The moment we took the headset off, they were, tears were streaming down their face. There's a level of emotional impact VR is extremely able to cut through. It's not that you're playing a character. It's not that you're in a separate world. You are you inside of that space. And that is a dangerous but very promising ability of VR. >> Winslow, could you take a stab at that, I'd like to get your reaction to that because people are trying to figure out the societal impact in a positive way and potentially negative. >> Yeah I mean, so with that, whenever you traumatize somebody else or have the ability to possibly re-traumatize somebody... In Giant, we made sure that we gave them a trigger warning because yeah these things can be intensely intimate or personal for somebody who already has that sort of baggage with them or could be living in a similar experience. In Giant, we witnessed the last moments of a family. As they're convincing their daughter that the approaching bomb blast is a giant that actually wants to play with her. And so we put haptics in the chair so the audience was also surprised. But we let them know that it was going to be taking place in a conflict zone. So if that was something that they didn't want to participate in, that they could opt out. But again, like we didn't know... We had to go and buy tissues like right off the bat because people were crying in the headset. And that's kind of a... It's an interesting problem to have for the sake of what are sort of the rules around that? But also it makes it more difficult to get people through the experience in a timely fashion as well. But yeah, but we're seeing that as things become more real then there's also a chance to possibly impact people. It's the... >> So it's social for you? You see it as a social impact? >> Well, I mean if everyone's experiencing the same thing that can be social, but again if it's a one on one experience, it's sort of like up to the filmmaker to make sure that they have the scruples that they are playing by the rules. Cause there's right now most every piece of content is being released through Oculus, Steam, or Viveport. But there will be... It's heavily regulated right now, but as soon as there's other means of distributing the content, it could take a different sort of face. >> Certainly some exciting things to grab on, great stuff. I want to get to the commercial angle. Then we're going to talk more about the craft and the role of artistry in the creating side of it. Gary, you're the commercial VR expert at Dell. You're commercializing this. You're making the faster machines. We want faster everything. I mean everyone... Anyone who's in VR knows that all the graphics cards. They know the speeds and feeds. They're totally hardware nerds. What's going on? Where's the action? >> Okay, that's such a large question. I mean we've had some great stuff here that I also want to comment on as well. But inside the commercial side, then yeah everybody wants bigger, stronger, better, faster. And to Winslow's comment about the dog years, that really puts the pressure on us to continue that innovation and working with partners like Intel to get those faster processors in there. Get faster graphics cards in there so that we can get people more emotionally bought in. We can do better textures, we can get more immersion inside the content itself. We're working a lot around VR in terms of opening peoples' eyes for societal impact. So VR for good for instance. Where we're taking people to far flung corners of the Earth. We work with Nat Geo explorer Mike Libecki to show the plight of polar bears in Greenland and how they're gradually becoming extinct for an edutainment and a learning tool. The boundaries are really being pushed in entertainment and film. That's always been the case. Consumer has always really pushed that technology. Commercial's always been a bit of a lagger. They want stability in what's going on. But the creation that's going on here is absolutely fantastic. It's taken what is essentially a prosumer headset and then taking it into that commercial world and lit it up. 360 video, its very inception, people are using it for training inside of their businesses and so that's now going out into businesses now. We're starting to see advances in 360 video with more compute power needed. Where, to the point about immersion and getting people emotionally bought in. Then you can start doing volumetric, getting them in there. And then we're also working with people like Dr. Skip Rizzo who was on our panel yesterday where we're starting to go into, okay, we can treat PTSD. Help people with autism, through the medium of VR. So again, that buys into... >> These are disruptive use cases that are legit? >> Yeah. >> These are big time, market moving, helping people... >> Absolutely. And that where it becomes really, really powerful. Yes, we want our companies to embrace it. Companies are embracing it for training. But when you start seeing the healthcare implications and people crying inside of headsets. That's effecting you deeply, emotionally. If you can make that for good, and change somebody's trigger points inside of PTSD, and the autism side of helping somebody in interview techniques to be able to be more self sufficient, it's absolutely awesome. >> This is the new creative. So what's your take on the new creative? What's your definition? Cause you're talking about a big range of use cases beyond just film making and digital artistry. >> Yeah, absolutely so the new creative is like with all the great work that's here, people are looking at film and entertainment. Now the world really is the oyster for all the creatives out there. People are clamoring out for modelers, artists, story tellers, story experiencers to be able to use that inside their commercial environments to make their businesses more effective. But they're not going to have a 360 video production company inside of their commercial organization. And it's then leveraging all of the creative here and all of the great stuff here. Which is really going to help the whole world a lot. >> Lisa, I want to get your thoughts on this cause you guys at Intel here at the Tech Lounge have a variety of demos, but there's a range of pro and entry level tools that can get someone up and running quickly to pro. And so there's a creative range not only just for digital artistry, but also business we're hearing. So what's the... Cause AI's involved in a lot of this too though. It's not just AI, it's a lot of these things. What's the Intel take on this. >> Well I think it's really an interesting time for us at Intel because one of the things that we have that I think probably nobody else has. We have this amazing slate of products that really cover the end to end process. Both from the creation side of the house all the way to the consumption side. And we talk a lot about our processors. We worked on an amazing project, a couple of huge scenes inside of the Sansar environment. Which is a great tool for really democratizing the creation of spaces. It's a cloud hosted service but it utilizes this amazing client-server architecture. We created four huge spaces in a matter of eight weeks to launch at CES. And some of the technologies that Gary was referring to just in pure processing power like two generations old processors were taking three hours to render just a small portion of a model where our newest generation Core i9s with our opting technology took that time to 15 minutes. So when we think about what we can do now, and those technologies are going to be available in even portable laptop form factors. We've got the piece where we were working here SPHERES. They were able to actually make some corrections and some tweaks basically immediately without having to send them off to some render farm. They were able to do those things. And I know Winslow has talked about that as well. What does it mean to you to be able to react real time. And be able to do your creative craft where you are and then be able to share that so readily. And then you know... I just think that's kind of an amazing equalizer. It's really democratizing the creation process. >> Okay the next question that begs for everyone to address is where are we in this progression? Early? What work needs to get done? Where are we holding back? Is it speeds and feeds? Is it the software? Is it the routines, libraries, art? Where's the bottleneck? Why isn't it going faster? Or is it going faster? >> I would, and I'm sure the team would agree here, I would say that one of the key things is the creator tools themselves, right. They are still somewhat cumbersome. We were talking to another filmmaker. He was like I can't even, I have to play the whole piece from the beginning, I can't just go in and edit, you know change control, being able to collaborate on these pieces with other people. I mean, if you can collaborate in a real world space, you should be able to also collaborate in VR and have change control and all those sorts of things that are necessary to the iteration of a project. So we're trying to work with our software partners. They're all doing a really great job of trying to iterate that, but it's going to take some time. I mean I think that's probably the bigger thing that's holding everything back. We're going to be right there with the processing power and the other technologies that we bring to the table. OEM partners are going to be right there with the best devices. I really think it's something we've all got to push for as far as those tools getting better. >> Brooks, comment on anything? You're in the... >> So for me, the thing that's holding back VR in general is actually the art form itself. One of the great challenges, if you look back, at say the history of film... We're at Sundance, so it's probably fairly apropo. Very early on in the early movies, aside from penny arcade machines that you'd actually stare at, they were 10 minute almost like plays that people would go to almost a playhouse and they'd watch this thing. There were not cuts, there were no angles. It was a single wide shot. Great Train Robbery came around and there was this crazy thing they did called an edit. Where they spliced film together. And if you go back and you read, and they did these dolly shots. People will have no idea what they're watching. There's no way people will be able to follow that. Like people were not happy with it at the time. Now it's stuff that children do on their iMacs at home. They do iMacs all the time, they do it on their iPhones, on their Android devices. These are normal languages of film that we have. VR doesn't have that yet. And there's not a great deal of effort being made in that direction. There's people here doing that. So I'm kind of speaking in the middle of the group, but outside of these people, there's only a handful who are really doing that and it's a significant challenge. When people who are the mainstream consumer put on a VR headset, it needs to be more than just a magic trick where they go oh that's cool. And that tends to be the vast majority of experiences. So what is the thing that is going to make someone go oh I get why we have VR as a medium. And we're not there yet. We're in the direction, but that's >> So you mentioned earlier the point where you can tell if someone's from film or gaming or whatever when you talk to them about VR. Who is the future VR developer? Is it a filmmaker? Is it a gamer? Is it a digital artist? What is this evolving? >> It's a kid in his basement who no one knows and is screwing around with it and is going to do something that everyone thinks is stupid. Like, it's going to be that. Basically every major leap in gaming is kind of the same thing. It's when we understand how ludonarrative dissonance works inside of telling how people move around a space. It's about how we do Dutch angle suddenly in film. And these things get invented. It's going to be some kid who's just screwing around who doesn't have the baggage of the language of film. A lot of the people I know in VR have been fortunate to work in film, in games and interactive or web dev. So you come from a lot of places but someone's going to come along who has none of that baggage. And they're going to be... >> Well you guys are pioneers and you're doing it. So for the first person out there that's in their basement, that inspirational soundbite or comment. How can you guys talk to that person or that group? Because this is the democratization, this is what's happening. It's not the gatekeepers. It's real creatives out there that could come from anywhere. YouTube generation, Twitch generation, gaming. What would you say to that person to motivate them and to give them that passion? >> Well it's only going to get easier, faster, cheaper, all these things are happening. But again, yeah I totally agree with what Brooks said. It's really about the culture and about educating the audience and getting them up to speed. There are some VR experiences that as soon as they put on the headset, like somebody who's never done it before, immediately will take it off cause they'll get nauseated. And then there's people, like kids who are like jet fighters. They've seen everything. You could throw like a 30 frames per second experience at them and that doesn't even phase them. They can be, all of a sudden their worlds are changing and they're like bring it because they're ready for that. So I think it's sort of about raising the bar for what the audience is comfortable with, familiar with, educating the community. There's a lot of tools right now, you know with Unreal and Unity that allow people who have very little... They don't need to know C# or C++, they can get started in a lot of like visual. What you see is what you get. Being able to drag things into a virtual room. And the windows headsets that are out. They refer to them as mixed reality, but just even having the ability to flip up the screen and transition from the virtual world to the real world in milliseconds, it allows you to be able to create things more at the speed of thought instead of coming up with an idea, coding it, and making sure it works, and then eventually putting on the headset. The sooner that we can actually be ideating inside this virtual environment is when things will get really interesting. >> So the next question is to take to the next level is what's the playbook? How does someone get involved? How does someone ingratiate into a community? If I'm an artist, I want to get, and I'm proficient with technology, or maybe not, how do they get involved? Is it community driven? Is it social? You guys mentioned seeing social's a big trend here. How do people get involved? What's the track? >> Well yeah you don't just need to go to a grad school or... There's a lot of programs out there that are popping up. Almost every single major state school has like an interactive art program now. And that wasn't the case like two or three years ago. So we're seeing that that's a big shift in the culture. But again, VR is still... It's expensive and it's you know, like VR, I refer to it's in the stage of it's almost like in the neo geo phase, maybe a little before that. But it's the really expensive thing that your friend's neighbor has. Or his older brother or something. You get to play it a little bit, you're like that's great but there's no way in hell I'm going to... You know, I can't afford that or like that just doesn't really work with my lifestyle right now so it needs to incorporate itself into our everyday, our habits. And it needs to be something that... If we're all doing it then it makes sense for us to do it together not just somebody in their basement doing it by themselves. >> Yeah feel free to comment, this is a good topic. >> Oh yeah, absolutely. So what we're doing is sort of about democratization and accessibility. So for people to get into the then they're going to need a rig, they're going to need a headset and previously it's actually been quite expensive to actually take that first plunge into it. So now by democratizing and bringing price points down, it makes it more accessible. That helps content creators because there's now more of an audience that can now consume that content. And the people that can then play with the medium and consume it now have a better reason to do it. So we're working on that. We're also working on the education pieces like Key. It's actually going out there to schools and actually letting them experience VR and play with VR. Because it is a whole new different medium. We've seen film directors and filmmakers go into the VR space and things that worked in 2D film like fast pans and whatever else so the points have already been made don't really translate into VR without somebody losing their lunch. So it is going to be somebody who's coming up who hasn't got the baggage of previous skill sets inside of 2D doing it inside of VR. So we're going to see that. And in terms of the technology, everybody's wanting things to progress. That shows the level of excitement out there. And everybody wants to get into it. Everybody wants to see it go further. And I'm reminded of the mobile phone. Mobile phone, 30 years ago? Two suitcases for batteries, a large brick on the ear and a car antennae. Okay, so where we are now, if you had a time machine and you went back in time to talk to the inventor of the mobile phone, well, I'd be a lot richer because I know sports results and all, but that aside, but you go back and talk to them and you said do you know in 30 years time, everybody is going to be carrying that device? Everybody's going to be dependent on that device? They're going to get social anxiety and separation anxiety if they lose it. And they will probably laugh in your face. >> Alright so since you brought up the phone analogy, since I love that example, are we in the Blackberry moment of VR and no one yet has built the iPhone? Because the iPhone was the seminal moment for smartphones. And you see what happened there. Is VR needing that kind of break? Or is it there? >> I think we're on the cusp. Where we are at the moment with technology, we've had the headsets, which I say have been more in the consumer space, they've been designed to hit a certain price point. We had CES the other week where we've had advancements now in the resolutions of headset that are now coming out. One of the issues was well I can't see texts, I can't read texts. So from a working environment, if you're actually using tools that you would normally use on a 2D screen, you can now translate that and read that text. However, in terms of the tools that people use, why are we trying to put 2D screens into a VR headset? We've got a whole new way of interacting with data. We've got a whole new way of doing things that are going to be more intuitive than the mouse and keyboard interaction that we're used to. Why just translate that. Let's push that envelope and those are the developments that we're pushing our partners and our ISVs to really embrace. >> So it's an evoution. >> It's absolutely an evolution. >> You guys have any thoughts on that comment. That we have that inflection point, are we hitting that, will we see it soon, is it here? >> Well I think it's a very interesting symbiotic relationship between multiple factors. So you know, we hear the cost factor, we hear the technology factor, then we have the content factor. You know I saw an interesting evolution at CES we had created this virtual booth experience so that you could still come to the CES Intel booth without actually having to be there. And I met a guy in there and I was like hey where are you? He goes I've been in here like all week. (laughter) And I was like oh yeah, where do you live? He goes oh I'm in my basement in Nebraska. But he had just, this was Friday when I met him. He'd been in there all week, but in 2D mode. And he had gone out the night before and bought a headset just so he could come back and go in VR mode. And I think, yes, all these factors have to kind of line up, but I do think that content, those experiences that are going to keep people coming back for more. Like these guys literally kept coming back to our booth. Right, to see... >> Content gain. >> To see who was there. And to them at that point, it wasn't really a barrier of cost. It was like there is something that I want to consume therefore I am going to go get what I need to consume it. And I use the analogy of HDTV, right. When we kind of moved over that hump where there was enough content people didn't really care how much that television cost. >> Sports was great. Sports really highlighted HD. >> Yeah. >> But this is a good point. This is a good question to ask. Brooks, I'd love to get your thoughts. Content drives experiences, amazing experiences, but we're building the scaffolding of everything at the same time. So where are we, what's your opinion? >> So here on the Starbreeze side, we're fortunate because we have our own headset. We have the StarVR headset we've been building with Acer. 5K all of that stuff and we're upgrading it over the next year. Our focus has been, we skipped the consumer market very much. We went straight to location based and enterprise. And the reason we did that is because there's a promise of VR at a basic, I don't want to say technology stand point, but from an experience perspective, when it comes to that resolution, when it comes to that field of view, when it comes to these things people expect. Average consumers who go to a movie and they see these giant screens. They want that translated. They don't have the understanding like we do of well, LED panels are actually a pain in the ass to build and it takes a little bit and they flip at their own speeds. Time to photon is not a thing my dad will ever see in his life. But there's a reality that people have a need for that. And it is extremely expensive. It's again the reason we went straight to LBE. But for us it's about marrying the two and consistently trying to match what's happening. So when we're talking about, as I mentioned earlier the technology and how we're standing on the shoulders of giants very very quickly, someone who's doing technology is going to see what we're doing content wise and go well I can do that better technology wise. And then we're just going to keep leap frogging. And it's very similar to the phone in the same way that we're not at the final stage of the phone. Like we're at our stage of the phone and no doubt in 30 years people will laugh at us for carrying anything. The same way we laugh about the briefcases and the giant batteries in the cars we had to pull with us. So it's one of those things that's continually transitional. And VR's in an odd, amazing place. >> Well you know, it was a lot of waves that we've all seen. You mentioned the mobile phone, that's a good one to point to. It feels like the PC revolution to me because the same culture of entrepreneurs and pioneers come from a bunch of different backgrounds. So I'd like to get Brooks perspective and Winslow's perspective on this because I think there's an entrepreneurial culture out there right now that's just emerging very fast. It's not like your classic entrepreneur software developer. So in this movement, in this wave, the entrepreneur is the filmmaker, it could be the kid in the basement, could be the gamer. Those entrepreneurs are trying to find a path. >> Yeah, it's a weird mix. VR is at this odd point where not only is it the people who are wanting to be cutting edge in terms of content or technology, but also that first mover strategy from the business side of things. And so everyone wants to be those guys who are charging ahead because in reality, if you look at the financials around all of this, VR is one of those things that you don't want to finance. It's not nearly as safe as say Marvel Avengers or the next Call of Duty. >> You've got to be, you've got to hustle. >> Yeah you've got to hustle. You've got to make... >> What's your advice? >> Start doing it. That's really it. It's the same advice I used to give to game makers when people would be like well I want to learn how to make games. It's like go to YouTube, download a thing and go do it. There's literally no reason why you can't. >> Are there meetups or like the Homebrew Computer Club that spawned the Mac. >> There are, there are infinite groups of VR people who are more than happy to give you all the terrible and wonderful opinions that come with that. There's no shortage of people. There's no shortage and it's an amazingly helpful group. Because everyone wants someone else to figure out something so they can steal that and then figure out something else. >> Winslow, your advice to entrepreneurs out there that are young and/or 14 to 50, what should they do? Jump right in obviously is a good one. >> Well yeah, experiment, break things, that's really the only way to learn. I would say watch as much VR as you can because sometimes bad VR is the best VR. Because you can learn don't do that. And if you learn, if you put all that together, you can really... It's like this lexicon that you can really follow. Also, I think we... As people in tech, we kind of get obsessed with things like resolution, frame rate, and these are very important, but it's also good to remember, or at least for me, I watch some of the best experiences from storytelling when I was a kid, eight years old on a 12 inch screen that was 640 by 480. You know, like scan lines on the VHS. But for me the story still resonated and it's important to think of story first, but obviously it's a dance between the story and the technology. They kind of have to both organically work together. And if they don't, one thing in the story that doesn't work because the tech isn't supporting it, can throw you out of the experience. >> Other concern entrepreneurs might have is financing. How do I get someone to help me build it? And then doing relationships. Finding relationships that could... One plus one equals more than two, right. So how do you? >> You have to get really creative when it comes to funding right now. Unless you're doing location based, which also requires a certain amount of investment to get it up to a bar where you want to be showing it to people with all the haptic effects when it's heat, smell, vibration, stuff like that. You know, it's not cheap to develop. But as far as like working with film foundations, we're fortunate enough to be sponsored by Fledgling Fund and Chicken and Egg. But we also were able to get partnerships with people like Intel and NVidia. And also work with people who come from a traditional film background. There's not one way to successfully fund a project. There's a million. And that's why it's interesting that the technology's innovating, but also the market place is as well. >> One of the things I want to ask is as any new industry gets building, is cultures form early. DNA forms in the entrepreneurs, in the pioneers. And one of the big hottest topics in the creative world is inclusion and diversity. So what's the makeup of the culture of this new generation? Because democratization means everyone can participate, everyone's involved. What's the state of the community vis a vis diversity, inclusion, and the role of the actors in the community. >> Well I think it's important to understand that VR has a profound ability to place you in somebody else's shoes. The trick though is to make sure that those feel like they're your shoes. But I think that we're learning a lot more about story telling techniques and we're able to empower people that their voices you know were previously not heard. The tricky thing is being able to yeah, educate all different groups of people how to use the technology, but once they're enabled and empowered to do it, it's amazing what you can experience inside the headset. >> So VR can be an enabler for education, outreach, a variety of things? >> Yes, I mean the term empathy, empathy machine gets thrown around a lot. You could do a drinking game around it. For panels when people are talking about it. But it's important to know there is a truth to that. And it's, yeah the perspective shift from looking at a screen, a 16 by 9 screen where you can look away, then dissolving the screen and becoming that person. Becoming the director, the actor, the camera person, the editor. When you're in the first person perspective, there's so much more... It feels more personal and that's a really interesting angle that we're going to continue to explore. >> So you could walk in someone's shoes, literally? >> Yes, you literally can. You just have to make sure that you got a... The tracking system's proper or else you'll look like there's... It can be come a horror movie pretty quickly if your leg is behind your head. >> Lisa, your thoughts on this, I know it's important to you. >> Yeah, I mean I think it's fascinating because I've been in tech for a really long time. And seen many, many trends. I mean the first job I had at Intel I was a PC tech and as you can imagine as a female, I think there was one other tech female in the department at the time and I would get funny looks when I would show up with my bag. They were like hi can I help you? I'm like I'm not here to deliver coffee, I'm here to fix your computer, you know. So I've seen a lot of trends and it's super exciting to me to see so much diversity cross culture, cross country, I mean we're having... We had guys come in from all over the world. From even war torn, they've escaped their country just several years ago and they're coming and they're bringing all that creativity to the market. We're seeing very, very strong female contingent from the filmmaker perspective so it's this wonderful, wonderful just primordial soup of people that I think are growing their own voice and their own power. They're breaking molds as far as how you actually get content produced. Distribution is kind of crazy right now. I mean, how do you get it distributed? There's like so many different ways. But all of those things are so important to the evolutionary and biological process of this. Yes, we need to let it go and sometimes we're frustrated. We're like where's the standards? Where's the one ring to rule them all? Where there's not going to be one. And it's good for us that there's not right now. It's frustrating from a business perspective sometimes. You're like, I can't peanut butter myself around all of these places, but I think it's just a very unique time where so many people are... The technology is accessible, that means that so many creators can now bring their fresh voice to this space and it's just going to be fascinating to continue to watch. >> That's awesome. Well two more questions and I'll give you some time to think about the last one which is your perspective on Sundance, what's happening this year, your personal view of what you think's happening, what might happen during this year. But the question I have for you now is to go down the line. We'll start with Brooks here, and talk about the coolest thing that you're involved in right now. >> It actually has to be Hero. We're debuting it here at Sundance. We've been working on it and not talking about it for about nine months. And it's been very difficult. Again it's sacrosanct to the experience that you don't know literally what you're getting in to. And the emotional response has been essentially our goal, trying to find out how far can we take that. You actually being in a space, moving around, having that interactivity, doing what you would do. But it being your story and how deeply we can absolutely effect a human being. And again, watching people come out, it's one of those things, I've been doing game development, I've worked on films, I've done all kinds of stuff. And you usually get a chance when someone experiences something you've made, you walk up to them and you go so what'd you think? And that's not at all what we can do with ours. >> How has it impacted you, that reaction? >> Well, I personally suffer significant PTSD and I've had some traumas in my life. And so it's been incredibly powerful to be able to share these things with people. Share this emotion in a deeply profound, yet amazingly personal way. Which I'm amazingly fortunate to be able to be a part of it. >> Alright thanks for sharing. Coolest thing that's going on with you right now here at Sundance. >> Just the fact that I'm here at all. I mean, it's incredible right? Personally was able to be an advisor on the SPHERES project that is premiering here with Eliza McNitt. She's someone who was an Intel Science Fair winner back in high school and kind of came back to us. So just to see the evolution of an artist really from the beginning to the point where they've been able to come here to Sundance. I'm also very passionate about the work that we're doing with Sansar. I kind of consider myself one of the chief storytellers at Intel around Virtual reality and this new move into social where people are like well what's this game. I'm like, it's not a game. It's you are the game, you are the interactivity. You become the person that makes the space interesting. We're just really setting the scene for you. And there's so many... You know there's a lot of different people kind of chasing this be togetherness. But what we've been able to produce there. And just to be able to explore some of my own personal ideas has just been such a gift. Then to be working with guys like these on the panels and see what they're doing and just be in touch is really just an exciting time. >> John: Awesome. >> Probably what, other than the people on the projects, or the projects that are being shown here, we're working on our new project, which we would have loved to premiere here, but we did... Basically when you get in, you have two months to create a piece, so you have a demo and you have to finish it, so we're taking a little bit more time. This one's going to be about a year development cycle. It's called Breathe where we take you from where Giant left off, where, in Giant, the ceiling collapses on a family. They're in front of you. In this experience, we use a breathing apparatus to basically bring yourself back to life. And then you realize you're trapped under rubble and you remove the... We actually want to have physical objects on top of you that are going to be tracked. So you're moving rubble from you and you realize that you're a six year old girl. You're the survivor from Giant. And you get to witness what it's like to be a future refugee sort of in different key moments of her life that use breath. Whether it's a flirtatious moment, blowing a dandelion, seeing your own breath in snow as a drone shows you a message that your parents pre-recorded on your 18th birthday. This is all in the future, obviously, but every time you walk around an object, you actually grow 10 to 15 years older in the experience. As you get older, the world becomes smaller. And then we witness what's like for her last breath. From being six years old to being 90 years old. But it's a profound personal experience. >> John: That sounds cool, cool. Gary, coolest thing that you're involved in right now at Sundance. >> Wow. I could say it's all cool that would be a bit trite. They say if you enjoy what you do, is it really a job? And I'm lucky enough to be in that position. Because working with all these guys here and like people around the place, they're doing such great things that every day I wake up and I'm astounded of where the industry's going. In terms of what we're doing here at Sundance, then we're really starting to push those envelopes as well. I've been lucky enough to be involved with Dunkirk and Spider-Man: Homecoming. Like last year, so some great pieces there. And moving out into this year, we've got some other developments which I can't mention at this point, but we're showing things like AR and VR mashup. So we haven't talked much about augmented reality here. It's an evolutionary, it's not a replacement. Both can be used and we've started to really start to blend those two technologies now. So you can still see the outside world. Just touching on the commercial side, and health care's very big for me. That's where I think the really cool stuff is happening. Entertainment is great and that's really pushing the envelope and allowing us to then take it for the good of human kind. >> It happens everywhere, it's not just entertainment. >> Yeah absolutely. You start looking at MRI scans inside of VR or AR. Talking a patient through it so they can actually see exactly what you're talking about. You're now no longer pointing at flat things on a screen. You're now actually taking them through it. If you're using AR, you can actually judge the responses of the patient as for how they're reacting to the news. And effectively, inside of the VR, and what's really cool for me is seeing people's reaction to that content and to the entertainment content. >> That's awesome. Okay final question. This is a little bit of self serving because I'd like you to help me do my job at SiliconANGLE. If you were a reporter and you were going to report the most important stories happening this year at Sundance or really kind of what's really happening versus what's kind of being billed to be happening here. What's the story? What is the story this year at Sundance 2018 in your personal perspective? We'll go down the line and share your observations. >> Well, mine here, I'm a Sundance newbie. This is my first year of being here. I'm absolutely astounded by the community spirit that's around. I go to a lot of technical trade shows and technical presentations. People coming here with a willingness to learn. Wanting to learn from other people. It's been touched on already. It's the pool of knowledge that's available inside of Sundance that everybody that comes here can actually tap into to create better content, to learn not what to do as well as learn what to do. And I just think that's brilliant because in that community spirit, that's really going to help enable this industry quickly. >> John: Winslow, you've got some experience, what's your thoughts? >> Obviously, this Intel house, just a little plug for you Lisa. (laughter) Tech Lounge. We got that? Okay good. I mean, yeah, the people that's here. Every year we come here and see where the high water mark is. All these people are... Some of these teams first started with two people and then they grew to six and then by the end of it, there's 100 people working around the clock, pulling all-nighters to be able to give the latest and greatest of what's available with these current tools. So it's amazing because the work itself doesn't really mean anything until people get to experience it. So that's nice that they make a big splash. The people here are very attentive to it. It's a very nice audience and this will continue the momentum for future festivals throughout the year, but also will excite people that have never done VR before. People who have never been to Sundance before. We're seeing that there's a lot of new people. And that will continue to influence many years to come. >> John: So you think VR is the top story here being told? >> As far as like just to generalize, I would say last year kind of the big VR year. This is kind of the big AR year. Next year's going to be the AI year. Then after that we're going to start putting them all together. >> John: Great, great feedback. >> I think it's just exciting for Intel just to be back here. I think Intel hasn't been here in quite some time. Dell coming in here probably one of the breakout years for us to come back and really talk to creators what we're doing from the Intel Studios all the way through to the stuff you can take home and do at home. And I think coming in, we're coming back here with a purpose really, not just to be here to be seen. We're really here with real things and want to have real conversations on how tech can enable what people are doing. Not just from a brand perspective, but from a real hands on point of view. >> John: Yeah, some great demos too, phenomenal tech. >> Really just, yeah everything from the AI stuff we have to the social to the great new pieces that have been submitted here like we mentioned with SPHERES. So I think, yeah, it doesn't feel gratuitous to me you know that Dell or Intel is here this year. We've really come with a purpose. >> You guys are moving the needle, it's really awesome. We need more horsepower. >> Brooks, your thoughts on Sundance this year. Observation, the vibe, what would you tell your friend back home when you get back? >> If, for me, I think it's almost the non-story. It's like the opposite of a story. It's just the deep integration of VR into the normal Sundance flow I think has been interesting. Some people have been here for a few years. And back in the day when it was one or two, it was a lot of oh, you do VR? What's that then? Whereas now, you see a lot more people who are crossing over. Going to see documentaries, then they come to see a VR piece and it's just a part of the normal flow. And the team at New Frontier has done exceptional work to kind of make sure that they have this ridiculous high level of broad content for all kinds of people. All kinds of experiences, all high end things. But it's not that VR's here. Oh good, we have a VR section. It's a lot more of an integrated set up. And it's been really encouraging to see. >> Well you guys have been great. It's been very inspirational. Great information. You guys are reimagining the future and building it at the same time so entrepreneurially and also with content and technology. So thanks so much for sharing on this panel The New Creative. This is SiliconANGLE's coverage of Sundance 2018 here at the Intel Tech Lounge at the Sundance Film Festival. I'm John Furrier thanks for watching. (upbeat music)