>> Narrator: Live from San Fransisco, it's theCUBE covering Samsung Developer Conference 2017. Brought to you by Samsung. >> Okay welcome back everyone here live in San Fransisco at Moscone West, is theCUBE's exclusive coverage of Samsung Developer Conference #SDC2017. I'm John Furrier co-founder of SiliconANGLE media, co-host of theCUBE. My next guest is artist, director, and producer Rob Prior, at Robprior.com. Great to have you, thanks for spending time. >> It's good to be here. >> Alright. Great to have you. You're super impressive. I was amazed by the work behind me on the wide shot. Can we go to the wide shot? You can see the work you've done. You were just here behind us on the main Disruptor studio with Stan Lee who was Marvel Comics, legend in the industry. >> Legend. >> I mean absolutely legend. And he's here promoting, you know, the edge of the network with Samsung. Games and all that good stuff, part of the developer conference. >> Yeah. >> But you were up there painting with both hands in real time. And did this art. >> Yeah, it was less than an hour, I think this one was. I don't know I don't even keep track anymore. I'm just like... >> So you do both hands. So how did that come about? How did you get to the two hands? >> When I was about, alright, I was going to be an artist no matter what. My entire family line were artists, but none by profession. So, I was kind of not even given a choice. So I got to be about 10 years old and I thought the same thing that every 10 year old thinks, "what if I loose my right hand?". No 10 year old thinks that. So I switched at 10. I switched to, you know I was born a righty, I switched to be a lefty. I switched everything. I switched, you know, baseball, how I threw a balls, playing guitar. I switched everything over. So for two years, no mater how much any one begged me, to like, my grades were going down, cause no one could read my writing, cause I'm like... >> Cryptic. >> Yeah it was weird, and so at that point I made my left hand as good as my right hand. And I was published very young. I was published at 13, internationally at 15. And 13, when I got published, I had math homework due, and I had a painting, a cover due. And I'm like oh my god how am I going to do, I mean. >> Screw the homework, I'm going to do the painting. >> Yeah, so I picked up two brushes and I'm was oh yeah I can do this. Then I actually figured out that I could do my math homework and paint simultaneously. I shut my eyes apparently, when, I don't know when I do it, but when I paint, my eyes are shut a lot of the time. >> Wow, that's awesome. So great skills, so it gets it done faster, but it's also creative. Talk about your work, your artistry, cartoons. You started doing, what did you get into first? And how did your career evolve? Take us through the evolution of your career, because now in the tech scene, you're doing some awesome art, but we live in a digital world. >> Yeah. >> How's that? You're doing cartoons, covers. >> When I first started out, I was doing interiors. Like just pen and ink interiors. And then I started moving into color painted covers, and, you know, sort of gradually went from, you know from black and white work to full color work, to being, doing a lot of different magazine covers, book covers. You name it. I worked heavily with TSR, which is Dungeons and Dragons at the time. >> Yeah. >> And I just sort of moved forward and kept... >> And you got then you got to Hollywood started with movies. What movies did you work on? >> Oh my god, I've worked on a lot of low budget movies. I worked on TV series like Buffy the Vampire Slayer, Firefly, Angel. God, so many. I mean, like literally that whole era of TV shows. You know, movie wise I've done stuff with Fast and the Furious. Wow, it's amazing, when you get asked, when you have a giant body of work. When you ask that question all I see are ducks going across. >> Well you just came off stage, so you're really in painting mode now, and you just did this painting. >> Yeah. And how long did it take you do this one? >> I'm sorry? >> This art, how long did it take you to do this one? >> This was a little under an hour. I painted one earlier as well on the main stage during the keynote speech. And that one took me 45 minutes or something like that. >> So they're giving their talk, and you're painting away. >> Yep. >> And you've done this at concerts? >> Yeah >> Tell us what other venues have you done? >> Things like this. I've done it with concerts. People like Tech N9ne, Linkin Park, you know, Steve Aoki, Flo Rida, just to name a few. So I do it while they're performing. So I'll do a full, like, four foot by eight foot painting in about an hour and a half. But when I'm doing gallery work it takes me about a day, maximum two days a painting. >> Yeah. Well you're considerable talent. You mentioned before we came on camera, you're going to do the Linkin Park memorial at the Hollywood Bowl. >> I am, I'm going to be painting there on the 27th, at the Hollywood Bowl. You know, there's going to be a lot of people there, just, you know I think they said the tickets sold out in, like, 39 seconds, or, it was crazy. >> Yeah. >> But I'm fortunate to be able to do that. >> Yeah. >> And pay my respects as well, so. >> Well great work you're doing. I'm really inspired by that because one of the things we're passionate about at SiliconANGLE and theCUBE here is social science, arts, and technology coming together. That's clearly a trend that's happening. I start see the younger generation too coming into this world, and certainly, you have four kids, I have four kids too. We talked about that earlier, but, they're getting immersed in this digital culture and might miss out on some of the analog art. >> Absolutely. >> And what's your thoughts on that, because, this is like, you do both right. >> Yes. >> So you get your hands dirty, I see your hands are dirty. >> Yep they're filthy. >> Good job, you really roll up your sleeves, little pun intended. So, this is the key to success. Share your thoughts and vision for the younger generation and other artists out there, because art will be the front and center piece of technology inspiration, user interface, gaming, augmented reality. >> No, absolutely, you know what, here's the thing. And this is something that you and I were talking about just a little bit ago. I think the, we as humans have a choice. You know, especially kids nowadays they can go and they can be fully immersed, but then they miss all the other things, you know. I've seen kids at tables texting each other instead of talking. But I think if you take the analog era, the thing, like the live painting. Cause I use, I'll take a picture of this I'll pour it into the computer, ill clean it up, and I'll do that. I think mixing the two worlds is vital, you know, in advancing forwards as humans. I mean that's just my opinion, I try to teach my kids that as well. >> Yeah. >> You can't forget about the real world. >> Yeah. >> Because the real world's going to be here no matter what. >> Yeah. >> So, you know- >> And then game developers are out there right now working on a lot of ideas, inspiration, you've drawn monsters before. >> Absolutely >> Some of the characters here from Marvel with Stan Lee. There is, do you need the creative spark? >> Oh absolutely. And look there are, creative spark, anything can be a tool. You know, so, the computer, doing computer art is an amazing opportunity to explore a new kind of tool, right? To invent and create new creatures or new things. It's all on how you use it. And then you get the people, I said this on stage the other day, you get people who are taking photos and then pressing 27 filters and calling it art. I think you have to go backwards and, once again, be able to do the analog. Write your story, create your idea and take any tool that's available and make it happen. Whether it's to picking up a paintbrush, whether it's getting on a computer on a Wacom tablet. >> So you think that's practice from a young artist standpoint is get down and dirty, get analog. >> Absolutely. >> And that's your inspiration sandbox, if you will. >> Absolutely, you know, and I think, here's an example. It's hard to have a gallery show of all digital stuff. Beause then it's just prints of things that you've done. There's no brush strokes, there's nothing there. And a lot of art collectors want to see the stroke. They want to know it's one-of-a-kind, that's it. >> Yeah the prototype. >> Yeah >> Or whatever the inspiration was. It's inspiring. >> Absolutely. So I tell all artistes, and even to the best computer artists, I'm like, go analog, get your hands dirty, paint. And let that speak as well. >> I've been lucky at my age to see a bunch of waves of innovation in technology. It's super exciting. I'd love to get your thoughts, from your perspective, and the artistry community, and you've been in L.A., over the past 10 years, maybe even 20, but say 10 an easier number. 10 years ago the Iphone wasn't even out, right? >> Oh god. >> So actually, 10 years ago it was the Iphone, but let's say 11 years ago. There was no Iphone, there was, YouTube just hit the scene. So this whole digital culture has just shifted. >> Oh absolutely. >> Apple was a no name company in 2000, right? Micheal Dell once said, " They should give the stock back to stockholders". (laughter) So Steven Jobs proved them all wrong. What is the scene like in your world around the last 10 years? What's been the disruptive change? Where's the enablement? What's been bad? What's been good? What's your thoughts? >> You know, in the art world itself, it's something I just mentioned, what's disrupted the art world, is people coming in and literally just being, what I call, a button pusher artist. You know, they figure out a filter or a tan, or whatever, they make art on their phone, and they're like. And that disrupts a lot of things. Because then it shows, or can teach, kids or artists, or anybody. People our age, whatever, it doesn't matter. That it's okay to do that and skip all of the steps, and I think that's the biggest point is the technology has allowed people to think they can skip steps, but you can't. You can never skip the step- >> What's the consequences of those steps skipping. What's the consequence there? >> So, if that's what you are, and you've figured out filters, and you get hired to do a job, because maybe you're the greatest filter button pusher in the world. But then all of the sudden your computer goes out. What do you do? >> Call Apple Care. >> Yeah, there you go. >> Cheese bar appointment. >> I know, I konw You're screwed basically. >> You are. I mean, I knew way back in the 20 years ago, if you were versed in drawing cars, and you got a job doing storyboards for a commercial, and all of the sudden they said, "Hey we're changing everything. Now we're taking out all the cars and now it's real people". If you're not good at drawing real people, you lost your job. Same basic concept. >> Yeah. >> You have to take it all in, you know, in a giant ball. And for the people who are like, "I don't want to touch a computer". Man, that's- >> So it works both ways. >> Absolutely works both ways. >> So what you're saying, if I get this right, is the computer's a great enable and accelerant of a finished product. >> Rob: Absolutely. >> So you use it, you'll take this print you did behind us, you'll touch it up, and you'll turn it into posters, you'll sell it, you'll syndicate it. >> Yep. >> Etcetera, etcetera, but you did the work here in an hour. With both hands. You did it just on the fly, total creative, creativity. >> Yeah, I mean, today's world, I think, if we let things go too much then the computer takes over and we loose a part of ourselves. >> And what about your social friends. Like musicians, you know? >> Oh my god. >> So what's the musician vibe, same thing? I mean tools are out there now, my son's doing some stuff on Ableton live, he loves that software suite, but he's still laying some guitar licks down. >> Absolutely, and you know, the great thing about in the music scene, I heard this a lot when Pro Tools first came out. Everybody was like, "That's the death of the producer". No, that was the beginning of a different kind of producer. And if you can do things at home and you're good, then it's great. >> What's the culture like in L.A. right now in terms of the creative producer, creator? Cause you've got like a maker culture on the geek side. Robotics, maker culture put stuff together, build some new things. Now you got a creator culture which builds off the maker culture, then you got the builder culture all kind of coming together. What's the success formula in your mind, besides the managing the tools. What's the mindset of the new producer, the new director, the new artist? What do you see as success points? >> These are some of the best questions I've ever been asked. Like, literally in every interview I'm answering the same ones. No, this is great. I think, I think it's a little bit of the wild west out in L.A., you know, and all over. Because, you're forming amalgamations. The director of a movie is no longer, possibly, just a director. He's also working on some of the cinematography. Maybe he's an editor, you know, it's a jack of all trades thing. And I think a lot of the people that had one trade going in, and were really good at it, are finding that they're getting passed up sometimes by the person who can do four or five different things including being able to be versed at technology >> Yeah we're seeing a lot of the things happen in the computer industry, just to share on my side of the table. Data scientist is the hottest job on the planet. Doing data. Some of the best data scientists are anthropologists. >> Really? >> Like weird majors in college. But they have a unique view of the data. They're not parochial in their thinking. They're looking at it differently. Or they have a math background, and obviously math is pretty important in data science, but also, it's not just prototypical, you got to be this spec. It's a little bit of a different artsy kind of a feel, cause you got to be, look at things differently. You got to be able to rotate around 360. >> And that's exactly it. That you've got to have, you got to be thinking outside of the box at all times nowadays. >> Well Rob what's next for you? What' going on? You got a lot of things going on. >> Rob: Oh wow. >> You got a lot of business ventures, you make a lot of money on your prints, you're famous. You're exploring new territory. What are some of the boundaries you're pushing right now creatively, that's really getting you excited? >> Well, I'm going to be directing a movie coming up. Which I find great because it allows me to take every bit of all the things I know and put it into a package, that's fun. I've got several gallery shows coming up. I've got a gallery show that I'll be doing with Stan, which will be New York and L.A. And, just getting on stage with more and more bands. You know, I think- >> You're a cult of personality, what's it like working with Stan? He's a cult of personality. >> Oh my god, Stan is, Stan's great. >> People yelling stuff at him, "hey what do you think about that". I mean there's a lot of culture in the Marvel Comics world. >> Oh man he, you know, and look he's like what, 95. And he's got more energy than I do. Literally last night, we're all out to dinner and I left before everybody else did. Stan outlast me. A 95 year old guy, and I'm like, "I'm too tired, I got to go to bed". And Stan's still going, you know. >> The energizer bunny. >> He's an animal. >> Well great for coming on. Thanks for the inspiration. Great art, got amazing art right here >> Thank you so much for having me man. >> Great job, congratulations. >> Thank you >> Good to see the arts. Analog and the digital worlds connecting. This is the key to success in the technology business. Bringing an artisan mindset to great technology for vital benefits. That's what theCUBE believes, we believe it. And so does Mr. Prior here. Check out the art, robertprior.com. Check it out. Robprior.com. It's theCUBE live from San Francisco. More after this short break. >> Thanks for having me.

>> Live, from Las Vegas, it's theCUBE, covering AWS re:Invent 2018. Brought to you by Amazon Web Services, Intel, and their ecosystem partners. >> Welcome back to Las Vegas, as we continue our coverage here on theCUBE of AWS re:Invent, day two of our three days of coverage, happy Wednesday to you, wherever you might be watching. We're joined by Yaron Haviv, who is the founder and CPO of iguazio, and Yaron, thanks for joining us here on theCUBE, once again. >> Thank you, hi. >> For folks at home who might be watching or at their office and not familiar with iguazio, tell us a little bit about the history of the company, what you saw as the need, as the founder, and what your primary focus is. >> So our key focus is delivering advanced services, the same one that you see in the Cloud, high-performance for real time analytics, essentially what we've seen as a gap, you have all the Cloud services in the Cloud, but when you're fanning into an Edge or an on-prem environment, you're usually consuming, like IT, VAMs, et cetera. So what we are doing, we're matching the same level of services, we provide serverless functions, AI as a service, and manage databases that can run, either in the Cloud or on-prem, or in federated Edge environment. So one consistent application development environment brought where we are. >> So, on the AI side, you mentioned that, as you're looking at your client base, your customers, and you're introducing this concept now, right? For those who aren't there yet. What do you sell them on, if you will? Or what do they want to know, what don't they understand, you think, generally speaking? >> Yeah, so in AI and ML, there are a lot of companies solving that problem, okay? Where we master is the notion of real-time AI, okay? What people are looking, is into embedding AI into business applications. Okay? The traditional notion is, you have a data lake, you throw all the data, and then your data sign, just go learn stuff, create nice, you know, desk-origin tableau. Great. So what? You know? What people really want is to build recommendation engines. You know, someone is logging into a website, he gets recommendations, so that requires very short latency of response, okay? You are doing front-detection and financial applications, so you're freighting a lot of data. You need to make decisions now, okay? You're doing cyber security analysis, so you're feeding data from routers and firewalls and switches, and you need react immediately to whatever is happening. You think about retail stores, things like Amazon Go. Cameras examining your behavior et cetera, you need to respond very very quickly. And now this is a much harder problem to deliver AI in real time, than it is in a sort-of a data-science workbench or just a batching notion. And traditionally, the way people address that problem is by profiling, creating sort-of a, every time, I'm going to see something very similar to that, I'm going to go to a database, pull, compare, and contrast, but the problem is that you need more and more multi-environment analysis on objects that keep on updating. You know, my location keeps on changing. If I'm going to stand in front of this store, I need to get this advertisement, or if I've just done some purchase with my card, and the bank knows my GPS location, it can cross-correlate that, and know if it's a fraud or not, okay? So there are more inputs going into the decision. This is where we master is, the ability to ingest lots of data in real time, cross-correlate that, in real time, to generate what's called feature vector. It's all those things that make up a decision. Run the decision, based on the traditional AI and deep learning algorithms, and they act on it. Whether it's response to customer requests or, you know, block some firewall, or whatever. And our focus is time to action. And the way we are implementing it, is using two major components. One is, real time serverless functions, which is an open-source we're promoting, called nuclio. A second is a real-time database, extremely high performance, it attaches to those functions and allow and help stitching the data and calculating and getting the results. So that's the general thing we're doing. >> So that idea of the serverless functions with nuclio, that's really about bringing, what you're used to in the Cloud, and bringing that out into the Edge. Which, I think, we were talking before, and that's I think a focus for a lot of developers who, I want to use all of the things I'm used to in the Cloud, where it's, I can just consume them as services, and it's quite easy to deal with. But then I come back into the on-site or on onto the Edge in this kind-of hybrid Cloud model, I don't actually have access to all of those things anymore. And I want to. >> Right, and it's even beyond that, because, you the Lambda came from more of like, WebHooks, Seoscases, et cetera. Extremely not concurrent, extremely low performance. You're talking about hundreds of milliseconds of latencies, you know, you're talking about, like, thousand invocations per second, you know? That's sort-of the concurrency, single-threaded applications. We're talking about real-time applications, you know. Hundreds of thousands of events per second. We're talking about latency in the range of milliseconds response time, that you have to respond. So we had to build a different serverless. Something that's real-time, something that has real-time access to data, et cetera. So that's originally where nuclio came in. And then, we started seeing pull from customers, saying, yes, but you're also a multi-Cloud serverless. And I can run your serverless on a laptop for debugging. I can run it on a mini Edge appliance, because this is my enforcement point. I can run it on-prem, because, you know, I'm stuck with some old gear in my on-prem application, and this is what started making nuclio very popular in lots of getup starts et cetera. And the fact that we're provided as a fully managed platform you know, it's open-source, consume it, whatever, but when you're using our managed platform, you get security, integration with active directory, integration with data, logging, monitoring. So, it really provides an alternative to Lambda, where you need high concurrency and everywhere. You know, Edge, Cloud, on-prem, but also high performance, high concurrency for those new workloads of real-time analytics. >> Yeah, so what are some of things that customers are using the platform to develop on? Like, could you give us an example of someone who's using some of these serverless functions for real-time application? Yeah, so, one of the applications is a, we do a lot of work with the network operators. You know, Verizon is one of our investors, but also working with different, other tel-cos. So we're doing real-time network monitoring, across all their firewalls and network equipment et cetera, to predict the network behavior. So, if there's going to be a failure, is it a cyber-security attack right now, things like that. The next level that they went into doing is actually a remediation. It's essentially re-routing the networks to bypass faults automatically, based on the predicted behaviors. Or, you know, stopping some attacks as they occur. So that's one use case. Another use case, in financial services and many other places, is predictive network operations. It's monitoring, again, behavior of services et cetera, like in trading platforms. And knowing that there is going to be a latency spike that's going to impact the trading, and essentially going and fixing that, in order to not lose millions of dollars of trades. Or real time tick analytics, you know? Until now, all the financial applications were very sort-of event driven, and complex event driven, not incorporating deep learning, things like that. Now, I think that there are many variants. You know, the, your president, you know, is going to tweet something about some company, and then it's going to impact the buyover or with stock. So, the current high-frequency trading algorithms are not designed for that, okay? Now, if you build all those serverless functions that listens on Twitter and Muse and all those things, and they can start cross-correlating that information to a much smarter decision. They fit in the real-time decision of buying and selling stocks into a lot more intelligent decision, you can make more money, okay? Another application, retailers, okay? We're working with locations where they have a thousand cameras in a single supermarket, because they just inspect the shelves to look into inventory levels, and eventually they're going to like, an Amazon Go model, where they actually want to know, to track what you're buying et cetera. So a thousand cameras in a store, you cannot shape all that bandwidth to the Cloud. And this is where it comes to a federated application model. Where, as a developer, the guys that are Cloud-born, or Cloud-first, they know containers, they know APIs, they know that stuff. They don't know how to build a box that sits in a store, okay? This is the other world of VMs and Venix, they don't care about that, they want APIs. They want Lambda functions, Dynamo, et cetera. So what we're providing is a mechanism where they can develop in the Cloud, test, simulate, run CICD pipelines, push our defects to the store, to actually go and do the work. And there we have strong partnerships with at least a couple of the major Cloud providers. We have co-ceiling agreements with Azure, we're working with Google, and, I assume, Amazon will be next, but those two, we have a strong relations with already. >> Alright, before we cut you loose, just gimme your idea about the show in general here, from what you've seen, and kind of how you feel about the conversations that you're a part of. >> Yeah, I was very busy talking to customers all day, so I haven't had a lot of time. I think interesting announcements, you know, they've made announcements with VMware, I'm still trying to figure out, what have they announced. You know, again, we spoke about the fact that the whole idea of Cloud is about service obstructions. Not virtual machines, not Kubernetes containers. It's about using APIs, using serverless functions, using AI workbenches that you can develop this new logic. If I'm going to use this VMware on-prem with Amazon, am I going to get all the SageMaker, Lambda, all that on-prem, or just more of a tactical thing, like Azure Stack, like, we're bringing UVMs, we're calling it Cloud, you know, just for marketing's sake. Is that a real Cloud services platform, okay? I think it aligns with what we're seeing now with the Kubernetes, I think we had some discussion about it. You know, IBM buys Reddit, you know, Cisco collaborates with Amazon, VMware buys Apptio. Kubernetes is containers, it's infrastructure. We speak to customers, we show them what we do serverless, you know AI workbenches, databases, service. That's the interesting part. That eliminates IT. If you're putting Kubernetes, it perpetuates IT. Now they need to take Kubernetes, tie it to their security system, build Spark on top of a container et cetera. Now that is a lot of IT and dev ops work involved. But many customers need agility. The reason they're going to Cloud, is not to use VMs, you know? It's to be able to take some Lambda function, some pre-bagged services, glue them together, and really come fast to market with an application. >> So what we really want to do is just to Cloud all the things. I think? (group chuckles) Cloud all the things. >> Mission accomplished. Yaron, thanks for being with us. We appreciate the time you're on theCUBE. Good to see you, sir. >> Thank you. >> Alright, back with more, here at AWS re:Invent. You're watching it live, and we're on theCUBE. (techno music)