>>from around the globe. It's the Cube presenting accelerating automation with definite brought to you by Cisco. >>Hello and welcome to the Cube. I'm John for a year host. We've got a great conversation virtual event, accelerating automation with definite Cisco. Definite. And of course, we got the Cisco Brain Trust here. Cube alumni Suzy we Vice President, senior Vice President GM and also CTO of Cisco. Definite and ecosystem Success C X, All that great stuff. Many Wadley Who's the director? Senior director of definite certifications. Eric Field, director of developer advocacy. Susie Mandy. Eric, Great to see you. Thanks for coming on. >>Great to see you >>down. So we're not in person. We >>don't Can't be at the definite zone. We can't be on site doing definite created All the great stuff we've been doing in the past three years were virtual the cube Virtual. Thanks for coming on. Uh, Susie, I gotta ask you because you know, we've been talking years ago when you started this mission and just the succession had has been awesome. But definite create has brought on a whole nother connective tissue to the definite community. This is what this ties into the theme of accelerating automation with definite because you said to me, I think four years ago everything should be a service or X a s is it's called and automation plays a critical role. Um, could you please share your vision? Because this is really important. And still only 5 to 10% of the enterprises have containerized things. So there's a huge growth curve coming with developing and program ability. What's your What's your vision? >>Yeah, absolutely. I mean, what we know is that is, more and more businesses are coming online is I mean, they're all online, But is there growing into the cloud? Is their growing in new areas as we're dealing with security is everyone's dealing with the pandemic. There's so many things going on. But what happens is there's an infrastructure that all of this is built on and that infrastructure has networking. It has security. It has all of your compute and everything that's in there. And what matters is how can you take a business application and tie it to that infrastructure. How can you take, you know, customer data? How can you take business applications? How can you connect up the world securely and then be ableto really satisfy everything that businesses need. And in order to do that, you know, the whole new tool that we've always talked about is that the network is programmable, the infrastructure is programmable, and you don't need just acts writing on top. But now they get to use all of that power of the infrastructure to perform even better. And in order to get there, what you need to do is automate everything. You can't configure networks manually. You can't be manually figuring out policies, but you want to use that agile infrastructure in which you can really use automation. You can rise to a higher level business processes and tie all of that up and down the staff by leveraging automation. >>You remember a few years ago when definite create first started, I interviewed Todd Nightingale and we're talking about Muraki. You know, not to get in the weeds, but you know, switches and hubs and wireless. But if you look at what we were talking about, then this is kind of what's going on now. And we were just recently, I think our last physical event was Cisco um Europe in Barcelona before all the cove it hit and you had the massive cloud surgeon scale happening going on right when the pandemic hit. And even now, more than ever, the cloud scale the modern APS. The momentum hasn't stopped because there's more pressure now to continue addressing Mawr innovation at scale. Because the pressure to do that because >>the stay alive get >>your thoughts on, um, what's going on in your world? Because you were there in person. Now we're six months in scale is huge. >>We are, Yeah, absolutely. And what happened is as all of our customers as businesses around the world as we ourselves all dealt with, How do we run a business from home? You know, how do we keep people safe? How do we keep people at home and how do we work? And then it turns out, you know, business keeps rolling, but we've had to automate even more because >>you >>have to go home and then figure out how from home can I make sure that my I t infrastructure is automated out from home? Can I make sure that every employee is out there in working safely and securely? You know, things like call center workers, which had to go into physical locations and being kind of, you know, just, you know, blocked off rooms to really be secure with their company's information. They had to work from home. So we had to extend business applications to people's homes in countries like, you know, well around the world. But also in India, where it was actually not, you know, not they wouldn't let They didn't have rules toe let people work from home in these areas. So then what we had to do was automate everything and make sure that we could administer. You know, all of our customers could administer these systems from home, so that puts extra stress on automation. It puts extra stress on our customers digital transformation. And it just forced them toe, you know, automate digitally transform quicker. And they had to because you couldn't just go into a server room and tweak your servers. You have to figure out how to automate all of that. >>You know, one of them >>were still there, all in that environment today. >>You know, one of the hottest trends before the pandemic was observe ability, uh, kubernetes serve micro services. So those things again. All Dev ups. And you know, if you guys got some acquisitions, you thought about 1000 eyes. Um, you got a new one you just bought recently Port shift to raise the game in security, Cuban, All these micro services, So observe, ability, superhot. But then people go work at home, as you mentioned. How do you think? Observe, What do you observing? The network is under huge pressure. I mean, it's crashing on. People zooms and WebEx is and education, huge amount of network pressure. How are people adapting to this in the upside? How are you guys looking at the what's being programmed? What are some of the things that you're seeing with use cases around this program? Ability, challenge and observe ability, challenges? It's a huge deal. >>Yeah, absolutely. And, you know, going back to Todd Nightingale, right? You know, back when we talked to Todd before he had Muraki and he had designed this simplicity, this ease of use, this cloud managed, you know, doing everything from one central place. And now he has This goes entire enterprise and cloud business. So he is now applying that at that Bigger Attn. Bigger scale. Francisco and for our customers. And he is building in the observe ability and the dashboards and the automation of the A P. I s and all of it. But when we take a look at what our customers needed is again, they had to build it all in, um, they had to build in. And what happened was how your network was doing, how secure your infrastructure was, how well you could enable people toe work from home and how well you could reach customers. All of that used to be a nightie conversation. It became a CEO and a board level conversation. So all of a sudden CEOs were actually, you know, calling on the heads of I t and the CEO and saying, You know, how is our VPN connectivity? Is everybody working from home? How many people are, you know, connected and ableto work and watch their productivity? Eso All of a sudden, all these things that were really infrastructure I t stuff became a board level conversation and you know, once again, at first everybody was panicked and just figuring out how to get people working. But now what we've seen in all of our customers is that they're now building in automation, additional transformation and these architectures, and that gives them a chance to build in that observe ability. You know, looking for those events. The dashboards, you know? So it really has been fantastic to see what our customers are doing and what our partners air doing to really rise to that next level. >>Susan, I know you gotta go, but real quick, um, describe what? Accelerating automation with definite means. >>Well, you've been fault. You know, we've been working together on definite in the vision of the infrastructure program ability and everything for quite some time. And the thing that's really happened is yes, you need to automate, but yes, it takes people to do that. And you need the right skill sets in the program ability. So a networker can't be a networker. A networker has to be a network automation developer. And so it is about people. And it is about bringing infrastructure expertise together with software expertise and letting people run. Things are definite. Community has risen to this challenge. People have jumped in. They've gotten their certifications. We have thousands of people getting certified. You know, we have you know, Cisco getting certified. We have individuals. We have partners, you know, They're just really rising to the occasion. So accelerate accelerating automation while it is about going digital. It's also about people rising to the level of, you know, being able to put infrastructure and software expertise together to enable this next chapter of business applications of cloud directed businesses and cloud growth. So it actually is about people, Justus, much as it is about automation and technology. >>And we got definite create right around the corner virtual. Unfortunately, being personal will be virtual Susie. Thank you for your time. We're gonna dig into those people challenges with Mandy and Eric. Thank you for coming on. I know you got to go, but stay with us. We're gonna dig in with Mandy and Eric. Thanks. >>Thank you so much. Thank you. Thanks, John. Okay. >>Mandy, you heard Susie is about people, and one of the things that's close to your heart you've been driving is a senior director of definite certifications. Um is getting people leveled up? I mean, the demand for skills cybersecurity, network program, ability, automation, network design solution, architect cloud multi cloud design thes are new skills that are needed. Can you give us the update on what you're doing to help people get into the acceleration of automation game? >>Oh, yes, absolutely. The you know what we've been seeing is a lot of those business drivers that Susie was mentioning those air. What's accelerating? A lot of the technology changes, and that's creating new job roles or new needs on existing job roles where they need new skills. We are seeing, uh, customers, partners, people in our community really starting to look at, you know, things like Dev SEC ops engineer, network Automation engineer, network automation developer, which sues you mentioned and looking at how these fit into their organization, the problems that they solve in their organization. And then how do people build the skills to be able to take on these new job roles or add that job role to their current, um, scope and broaden out and take on new challenges? >>Eric, I want to go to you for a quick second on this, um uh, piece of getting the certifications. Um, first, before you get started, describe what your role is. Director of developer advocacy, because that's always changing and evolving what's the state of it now? Because with Cove and people are working at home, they have more time to contact, switch and get some certifications and that they can code more. What's your >>What's your role? Absolutely So it's interesting. It definitely is changing a lot. A lot of our historically a lot of focus for my team has been on those outward events. So going to the definite creates the Cisco lives and helping the community connect and help share technical information with them, doing hands on workshops and really getting people into. How do you really start solving these problems? Eso that's had to pivot quite a bit. Obviously, Sisco live us. We pivoted very quickly to a virtual event when when conditions changed and we're able to actually connect, as we found out with a much larger audience. So you know, as opposed to in person where you're bound by the parameters of you know how big the convention center is. We were actually able to reach a worldwide audience with are definite day that was kind of attached onto Sisco Live, and we got great feedback from the audience that now we're actually able to get that same enablement out to so many more people that otherwise might not have been able to make it. But to your broader question of you know what my team does. So that's one piece of it is is getting that information out to the community. So as part of that, there's a lot of other things we do as well. We were always helping out build new sandboxes, new learning labs, things like that that they can come and get whenever they're looking for it out on the definite site. And then my team also looks after communities such as the Cisco Learning Network, where there's there's a huge community that has historically been there to support people working on their Cisco certifications. We've seen a huge shift now in that group that all of the people that have been there for years are now looking at the definite certifications and helping other people that are trying to get on board with program ability. They're taking a lot of those same community enablement skills and propping up community with, you know, helping answer questions, helping provide content. They move now into the definite spaces well and are helping people with that sort of certifications. So it's great seeing the community come along and really see that >>I gotta ask you on the trends around automation. What skills and what developer patterns are you seeing with automation? Are Is there anything in particular? Obviously, network automation been around for a long time. Cisco's been leader in that. But as you move up, the staff has modern applications or building. Do you see any patterns or trends around what is accelerating automation? What people learning? >>Yeah, absolutely. So you mentioned observe ability was big before Cove it and we actually really saw that amplified during co vid. So a lot of people have come to us looking for insights. How can I get that better observe ability now that we needed? Well, we're virtual eso. That's actually been a huge uptick, and we've seen a lot of people that weren't necessarily out looking for things before that air. Now, figuring out how can I do this at scale? I think one good example that Susie was talking about the VPN example, and we actually had a number of SCS in the Cisco community that had customers dealing with that very thing where they very quickly had to ramp up and one in particular actually wrote a bunch of automation to go out and measure all of the different parameters that I T departments might care about about their firewalls, things that you didn't normally look at. The old days you would size your firewalls based on, you know, assuming a certain number of people working from home. And when that number went to 100% things like licenses started coming into play where they need to make sure they had the right capacity in their platforms that they weren't necessarily designed for. So one of the essays actually wrote a bunch of code to go out, use them open source, tooling to monitor and alert on these things, and then published it so the whole community code could go out and get a copy of it. Try it out in their own environment. And we saw a lot of interest around that and >>trying >>to figure out Okay, now I could take that. I can adapt into what I need to see for my observe ability. >>That's great, Mandy, I want to get your thoughts on this, too, because as automation continues to scale. Um, it's gonna be a focus. People are at home. And you guys had a lot of content online for you. Recorded every session that in the definite zone learning is going on sometimes literally and non linearly. You've got the certifications, which is great. That's key. Great success there. People are interested. But what other learnings are you seeing? What are people, um, doing? What's the top top trends? >>Yeah. So what we're seeing is like you said, people are at home, they've got time, they want toe advance, their skill set. And just like any kind of learning, people want choice. They wanna be able to choose which matches their time that's available and their learning style. So we're seeing some people who want to dive into full online study groups with mentors leading them through a study plan. On we have two new expert lead study groups like that. We're also seeing whole teams at different companies who want to do an immersive learning experience together with projects and office hours and things like that. And we have a new offer that we've been putting together for people who want those kind of team experiences called Automation Boot Camp. And then we're also seeing individual who want to be able to, you know, dive into a topic, do a hands on lab, gets, um, skills, go to the rest of the day of do their work and then come back the next day. And so we have really modular, self driven hands on learning through the Definite Fundamentals course, which is available through DEV. Net. And then there's also people who are saying, I just want to use the technology. I like Thio experiment and then go, you know, read the instructions, read the manual, do the deeper learning. And so they're They're spending a lot of time in our definite sandbox, trying out different technologies. Cisco Technologies with open source technologies, getting hands on and building things, and three areas where we're seeing a lot of interest in specific technologies. One is around SD wan. There's a huge interest in people Skilling up there because of all the reasons that we've been talking about. Security is a focus area where people are dealing with new scale, new kinds of threats, having to deal with them in new ways and then automating their data center using infrastructure as code type principles. So those were three areas where we're seeing a lot of interest and you'll be hearing more about that at definite create. >>Awesome Eric and man, if you guys can wrap up the accelerated automated with definite package and virtual event here, um, and also t up definite create because definite create has been a very kind of grassroots, organically building momentum over the years. Again, it's super important because it's now the app world coming together with networking, you know, end to end program ability. And with everything is a service that you guys were doing everything with a piece. Um Onley can imagine the enablement that's gonna enable create Can >>you hear the >>memory real quick on accelerating automation with definite and TF definite create. Mandy will start with you. >>Yes, I'll go first, and then Eric can close this out. Um, so just like we've been talking about with you at every definite event over the past years, you know, Devon, it's bringing a p I s across our whole portfolio and up and down the stack and accelerating automation with definite. Suzy mentioned the people aspect of that the people Skilling up and how that transformed team transforms teams. And I think that it's all connected in how businesses are being pushed on their transformation because of current events. That's also a great opportunity for people to advance their careers and take advantage of some of that quickly changing landscape. And so would I think about accelerating automation with definite. It's about the definite community. It's about people getting those new skills and all the creativity and problem solving that will be unleashed by that community with those new skills. >>Eric, take us home. He accelerate automation. Definite and definite create a lot of developer action going on cloud native right now, your thoughts? >>Absolutely. I I think it's exciting. I mentioned the transition to virtual for definite day this year for Cisco Live, and we're seeing we're able to leverage it even further with create this year. So whereas it used to be, you know, confined by the walls that we were within for the event. Now we're actually able to do things like we're adding a start now track for people that I want to be there. They want to be a developer. Network automation developer, for instance, We've now got a track just for them where they could get started and start learning some of the skills they'll need, even if some of the other technical sessions were a little bit deeper than what they were ready for. Eso. I love that we're able to bring that together with the experience community that we usually do from across the industry, bringing us all kinds of innovative talks, talking about ways that they're leveraging technology, leveraging the cloud to do new and interesting things to solve their business challenges. So I'm really excited to bring that whole mixed together as well as getting some of our business units together to and talk straight from their engineering departments. What are they doing? What are they seeing? What are they thinking about when they're building new AP eyes into their platforms? What are the what problems are they hoping that customers will be able to solve with them? So I think together, seeing all of that and then bringing the community together from all of our usual channels. So, like I said, Cisco Learning Network, we've got a ton of community coming together, sharing their ideas and helping each other grow those skills. I see nothing but acceleration ahead of us for automation. >>Awesome. Thanks so much. God, man, can >>I add one had >>one more thing. >>Yeah, I was just going to say the other really exciting thing about create this year with the virtual nature of it is that it's happening in three regions. And, you know, we're so excited to see the people joining from all the different regions. And, uh, content and speakers and the region stepping upto have things personalized to their area to their community. And so that's a whole new experience for definite create that's going to be fantastic this year. >>You know, that's what God is going to close out and just put the final bow on that by saying that you guys have always been successful with great content focused on the people in the community. I think now, during with this virtual definite virtual definite create virtual the cube virtual, I think we're learning new things. People working in teams and groups on sharing content. We're gonna learn new things. We're gonna try new things, and ultimately people will rise up and will be resilient. I think when you have this kind of opportunity, it's really fun. And whoa, we'll ride the wave with you guys. So thank you so much for taking the time to come on. The Cuban talk about your awesome accelerate automation and definitely looking forward to it. Thank you. >>Thank you so much. >>Happy to be here. >>Okay, I'm John for the Cube. Virtual here in Palo Alto studios doing the remote content amendment Virtual until we're face to face. Thank you so much for watching. And we'll see you at definite create. Thanks for watching.

>> Narrator: From around the globe, it's theCUBE. Presenting Accelerating Automation with DevNet. Brought to you by Cisco. >> Hello and welcome to theCUBE. I'm John Furrier, your host. We've got a great conversation and a virtual event, Accelerating Automation with DevNet , Cisco DevNet. And of course we got the Cisco brain trust here. Cube alumni, Susie Wee, Vice President, Senior Vice President, GM, and also CTO of Cisco DevNet and Ecosystem Success CX, all that great stuff. Mandy Whaley, who's the Director, Senior Director of DevNet Certifications, And Eric Thiel, Director of Developer Advocacy, Susie, Mandy, Eric, great to see you. Thanks for coming on. >> Great to see you, John. >> So we're not in person >> It's great to be here. >> We don't, can't be at the DevNet Zone. We can't be on site doing DevNet Create, all the great stuff we've been doing over the past few years. We're virtual, theCUBE virtual. Thanks for coming on. Susie, I got to ask you because you know, we've been talking years ago when you started this mission and just the success you had has been awesome, but DevNet Create has brought on a whole nother connective tissue to the DevNet community. This ties into the theme of accelerating automation with DevNet, because you said to me, I think four years ago, everything should be a service or XaaS as it's called (Susie laughs) and automation plays a critical role. Could you please share your vision because this is really important and still only five to 10% of the enterprises have containerized things. So there's a huge growth curve coming with developing and programmability. What's your vision? >> Yeah, absolutely. I mean, what we know is that as more and more businesses are coming online as, well I mean, they're all online, but as they're growing into the cloud, as they're growing in new areas, as we're dealing with security, as everyone's dealing with the pandemic, there's so many things going on. But what happens is, there's an infrastructure that all of this is built on and that infrastructure has networking, it has security, it has all of your compute and everything that's in there. And what matters is how can you take a business application and tie it to that infrastructure? How can you take, you know, customer data? How can you take business applications? How can you connect up the world securely and then be able to, you know, really satisfy everything that businesses need? And in order to do that, you know, the whole new tool that we've always talked about is that the network is programmable. The infrastructure is programmable, and you don't need just apps riding on top, but now they get to use all of that power of the infrastructure to perform even better. And in order to get there, what you need to do is automate everything. You can't configure networks manually. You can't be manually figuring out policies, but you want to use that agile infrastructure in which you can really use automation, you can rise to higher level business processes and tie all of that up and down the stack by leveraging automation. >> You know, I remember a few years ago when DevNet Create first started, I interviewed Todd Nightingale, and we were talking about Meraki, you know, not to get in the weeds about you know, switches and hubs and wireless. But if you look at what we were talking about then, this is kind of what's going on now. And we were just recently, I think our last physical event was at Cisco Europe in Barcelona before all the COVID hit. And you had >> Susie: Yeah. >> The massive cloud surge and scale happening going on, right when the pandemic hit. And even now more than ever the cloud scale, the modern apps, the momentum hasn't stopped because there's more pressure now to continue addressing more innovation at scale because the pressure to do that, because the businesses need to stay alive. >> Absolutely, yeah. >> I just want to get your thoughts on what's going on in your world, because you were there in person. Now we're six months in, scale is huge. >> We are. Yeah, absolutely. And what happened is as all of our customers, as businesses around the world, as we ourselves all dealt with, how do we run a business from home? You know, how do we keep people safe? How do we keep people at home and how do we work? And then it turns out, you know, business keeps rolling, but we've had to automate even more because you have to go home and then figure out how from home can I make sure that my IT infrastructure is automated? How from home can I make sure that every employee is out there and working safely and securely? You know, things like call center workers, which had to go into physical locations and be in kind of, you know, just, you know, blocked off rooms to really be secure with their company's information. They had to work from home. So we had to extend business applications to people's homes in countries like, you know, well around the world, but also in India where it was actually not, you know, not, they didn't have rules to let people work from home in these areas. So then what we had to do was automate everything and make sure that we could administer, you know, all of our customers could administer these systems from home. So that put extra stress on automation. It put extra stress on our customer's digital transformation and it just forced them to, you know, automate digitally transform quicker. And they had to, because you couldn't just go into a server room and tweak your servers, you had to figure out how to automate all of that. And we're still in that environment today. >> You know one of the hottest trends before the pandemic was observability, Kubernetes microservices. So those things, again, all DevOps and, you know, you guys got some acquisitions, you've bought ThousandEyes, you got a new one. You just bought recently PortShift to raise the game in security, Kuber and all these microservices. So observability super hot, but then people go work at home as you mentioned. How do you (chuckles) >> Yeah What are you observing? The network is under a huge pressure. I mean, it's crashing on people's Zooms and Web Ex's and education, huge amount of network pressure. How are people adapting to this in the app side? How are you guys looking at the, what's being programmed? What are some of the things that you're seeing with use cases around this programmability challenge and observability challenge that's such a huge deal? >> Yeah, absolutely. And you know, going back to Todd Nightingale, right? You know, back when we talked to Todd before, he had Meraki and he had designed this simplicity, this ease of use, this cloud managed, you know, doing everything from one central place. And now he has Cisco's entire enterprise and cloud business. So he is now applying that at that bigger, at that bigger scale for Cisco and for our customers. And he is building in the observability and the dashboards and the automation and the APIs into all of it. But when we take a look at what our customers needed is again, they had to build it all in. They had to build in. And what happened was how your network was doing, how secure your infrastructure was, how well you could enable people to work from home and how well you could reach customers. All of that used to be an IT conversation. It became a CEO and a board-level conversation. So all of a sudden, CEOs were actually, you know, calling on the Heads of IT and the CIO and saying, you know, "How's our VPN connectivity? Is everybody working from home? How many people are connected and able to work and what's their productivity?" So all of a sudden, all these things that were really infrastructure IT stuff became a board level conversation and, you know, once again, at first everybody was panicked and just figuring out how to get people working, but now what we've seen in all of our customers is that they are now building in automation and digital transformation and these architectures, and that gives them a chance to build in that observability, you know, looking for those events, the dashboards, you know, so it really has been fantastic to see what our customers are doing and what our partners are doing to really rise to that next level. >> Susie, I know you got to go, but real quick, describe what accelerating automation with DevNet means. >> (giggles)Well, you've been, you know, we've been working together on DevNet and the vision of the infrastructure programmability and everything for quite some time and the thing that's really happened is yes, you need to automate, but yes, it takes people to do that and you need the right skill sets and the programmability. So a networker can't be a networker. A networker has to be a network automation developer. And so it is about people and it is about bringing infrastructure expertise together with software expertise and letting people run things. Our DevNet community has risen to this challenge. People have jumped in, they've gotten their certifications. We have thousands of people getting certified. You know, we have, you know, Cisco getting certified. We have individuals, we have partners, you know, they're just really rising to the occasion. So accelerating automation, while it is about going digital. It's also about people rising to the level of, you know, being able to put infrastructure and software expertise together to enable this next chapter of business applications, of, you know, cloud directed businesses and cloud growth. So it actually is about people, just as much as it is about automation and technology. >> And we got DevNet Create right around the corner, Virtual, unfortunately, won't be in person, but will be virtual. Susie, thank you for your time. We're going to dig into those people challenges with Mandy and Eric. Thank you for coming on. I know you've got to go, but stay with us. We're going to dig in with Mandy and Eric. Thanks. >> Thank you so much. Have fun. >> Thank you. >> Thanks John. >> Okay. Mandy, you heard Susie, it's about people. And one of the things that's close to your heart, you've been driving as Senior Director of DevNet Certifications, is getting people leveled up. I mean the demand for skills, cybersecurity, network programmability, automation, network design, solution architect, cloud, multi-cloud design. These are new skills that are needed. Can you give us the update on what you're doing to help people get into the acceleration of automation game? >> Oh yes, absolutely. You know, what we've been seeing is a lot of those business drivers, that Susie was mentioning. Those are what's accelerating a lot of the technology changes and that's creating new job roles or new needs on existing job roles where they need new skills. We are seeing customers, partners, people in our community really starting to look at, you know, things like DevSecOps engineer, network automation engineer, network automation developer, which Susie mentioned, and looking at how these fit into their organization, the problems that they solve in their organization. And then how do people build the skills to be able to take on these new job roles or add that job role to their current scope and broaden out and take on new challenges. >> Eric, I want to go to you for a quick second on this piece of getting the certifications. First, before we get started, describe what your role is as Director of Developer Advocacy, because that's always changing and evolving. What's the state of it now because with COVID people are working at home, they have more time to contact Switch, and get some certifications and yet they can code more. What's your role? >> Absolutely. So it's interesting. It definitely is changing a lot. A lot of our, historically a lot of focus for my team has been on those outward events. So going to the DevNet Creates, the Cisco Lives and helping the community connect and to help share technical information with them, doing hands on workshops and really getting people into how do you really start solving these problems? So that's had to pivot quite a bit. Obviously Cisco Live US, we pivoted very quickly to a virtual event when conditions changed. And we're able to actually connect as we found out with a much larger audience. So, you know, as opposed to in person where you're bound by the parameters of, you know, how big the convention center is, we were actually able to reach a worldwide audience with our DevNet Day that was kind of attached onto Cisco Live. And we got great feedback from the audience that now we were actually able to get that same enablement out to so many more people that otherwise might not have been able to make it, but to your broader question of, you know, what my team does. So that's one piece of it is getting that information out to the community. So as part of that, there's a lot of other things we do as well. We are always helping out build new sandboxes, new learning labs, things like that, that they can come and get whenever they're looking for it out on the DevNet site. And then my team also looks after communities, such as the Cisco Learning Network where there's a huge community that has historically been there to support people working on their Cisco certifications. We've seen a huge shift now in that group, that all of the people that have been there for years are now looking at the DevNet certifications and helping other people that are trying to get onboard with programmability. They're taking a lot of those same community enablement skills and propping up the community with helping you answer questions, helping provide content. They've moved now into the DevNet space as well, and are helping people with that set of certifications. So it's great seeing the community come along and really see that. >> I got to ask you on the trends around automation, what skills and what developer patterns are you seeing with automation? Is there anything in particular, obviously network automation has been around for a long time. Cisco has been leader in that, but as you move up the stack as modern applications are building, do you see any patterns or trends around what is accelerating automation? What are people learning? >> Yeah, absolutely. So you mentioned observability was big before COVID and we actually really saw that amplified during COVID. So a lot of people have come to us looking for insights. How can I get that better observability now that we need it while we're virtual. So that's actually been a huge uptick and we've seen a lot of people that weren't necessarily out looking for things before that are now figuring out' how can I do this at scale? And I think one good example that Susie was talking about the VPN example. And we actually had a number of SEs in the Cisco community that had customers dealing with that very thing where they very quickly had to ramp up. And one in particular actually wrote a bunch of automation to go out and measure all of the different parameters that IT departments might care about, about their firewalls, things that you didn't normally look at in the old days. You would size your firewalls based on, you know, assuming a certain number of people working from home. And when that number went to 100%, things like licenses started coming into play, where they needed to make sure they have the right capacity in their platforms that they weren't necessarily designed for. So one of the SEs actually wrote a bunch of code to go out, use some open source tooling to monitor and alert on these things and then published it, so the whole community could go out and get a copy of it, try it out in their own environment. And we saw a lot of interest around that in trying to figure out, okay, now I can take that and I can adapt it to what I need to see for my observability. >> That's great. Mandy, I want to get your thoughts on this too, because as automation continues to scale, it's going to be a focus and people are at home and you guys had a lot of content online for you recorded every session in the DevNet Zone. Learning's going on, sometimes linearly and non linearly. You got the certifications, which is great. That's key, great success there. People are interested, but what other learnings are you seeing? What are people doing? What's the top top trends? >> Yeah. So what we're seeing is like you said, people are at home, they've got time. They want to advance their skillset. And just like any kind of learning, people want choice they want to be able to choose what matches their time that's available and their learning style. So we're seeing some people who want to dive into full online study groups with mentors leading them through a study plan. And we have two new expert-led study groups like that. We're also seeing whole teams at different companies who want to do an immersive learning experience together with projects and office hours and things like that. And we have a new offer that we've been putting together for people who want those kinds of team experiences called Automation Bootcamp. And then we're also seeing individuals who want to be able to, you know, dive into a topic, do a hands-on lab, get some skills, go to the rest of the day of do their work and then come back the next day. And so we have really modular self-driven hands-on learning through the DevNet Fundamentals course, which is available through DevNet. And then there's also people who are saying, "I just want to use the technology. "I like to experiment and then go, you know, "read the instructions, read the manual, "do the deeper learning." And so they're spending a lot of time in our DevNet sandbox, trying out different technologies, Cisco technologies with open source technologies, getting hands-on and building things. And three areas where we're seeing a lot of interest in specific technologies. One is around SD-WAN. There's a huge interest in people skilling up there because of all the reasons that we've been talking about. Security is a focus area where people are dealing with new scale, new kinds of threats, having to deal with them in new ways. and then automating their data center using infrastructure as code type principles. So those are three areas where we're seeing a lot of interest and you'll be hearing some more about that at DevNet Create. >> Awesome. Eric and Mandy, if you guys can wrap up this Accelerating Automation with DevNet package and virtual event here and also tee up DevNet Create because DevNet Create has been a very kind of grassroots, organically building momentum over the years. And again, it's super important cause it's now the app world coming together with networking, you know, end to end programmability and with everything as a service that you guys are doing, everything with APIs, I only can imagine the enablement that's going to create. >> Mandy: Yeah >> Can you share the summary real quick on Accelerating Automation with DevNet and tee up DevNet Create. Mandy, we'll start with you. >> Yes, I'll go first and then Eric can close this out. So just like we've been talking about with you at every DevNet event over the past years, you know, DevNet's bringing APIs across our whole portfolio, and up and down the stack and Accelerating Automation with DevNet , Susie mentioned the people aspect of that. The people skilling up and how that transforms teams, And I think that it's all connected in how businesses are being pushed on their transformation because of current events. That's also a great opportunity for people to advance their careers and take advantage of some of that quickly changing landscape. And so what I think about Accelerating Automation with DevNet, it's about the DevNet community. It's about people getting those new skills and all the creativity and problem solving that will be unleashed by that community with those new skills. >> Eric, take us home here, Accelerating Automation with DevNet and DevNet Create, a lot of developer action going on in Cloud Native right now, your thoughts. >> Absolutely. I think it's exciting. I mentioned the transition to virtual for DevNet Day this year, for Cisco Live and we're seeing, we're able to leverage it even further with Create this year. So, whereas it used to be, you know, confined by the walls that we were within for the event. Now we're actually able to do things like we're adding the Start Now track for people that want to be there. They want to be a developer, a network automation developer for instance, we've now got a track just for them where they can get started and start learning some of the skills they'll need, even if some of the other technical sessions were a little bit deeper than what they were ready for. So I love that we're able to bring that together with the experienced community that we usually do from across the industry bringing us all kinds of innovative talks, talking about ways that they're leveraging technology, leveraging the cloud to do new and interesting things to solve their business challenges. So I'm really excited to bring that whole mix together, as well as getting some of our business units together too and talk straight from their engineering departments. What are they doing? What are they seeing? What are they thinking about when they're building new APIs into their platforms? What problems are they hoping that customers will be able to solve with them? So I think together seeing all of that and then bringing the community together from all of our usual channels. So like I said, Cisco learning network, we've got a ton of community coming together, sharing their ideas and helping each other grow those skills. I see nothing but acceleration ahead of us for automation. >> Awesome. Thanks so much. >> I would >> Go ahead, Mandy. >> Can I add one more thing? >> Add one more thing. >> Yeah, I was just going to say the other really exciting thing about Create this year with the virtual nature of it is that it's happening in three regions and you know, we're so excited to see the people joining from all the different regions and content and speakers and the regions stepping up to have things personalized to their area, to their community. And so that's a whole new experience for DevNet Create that's going to be fantastic this year. >> Yeah, that's it. I was going to close out and just put the final bow on that by saying that you guys have always been successful with great content focused on the people in the community. I think now during, with this virtual DevNet, virtual DevNet create virtual theCUBE virtual, I think we're learning new things. People are working in teams and groups and sharing content, we're going to learn new things. We're going to try new things and ultimately people will rise up and will be resilient. And I think when you have this kind of opportunity, it's really fun. And we'll ride the wave with you guys. >> So thank you so much (Susie laughs) for taking the time to come on theCUBE and talk about your awesome Accelerating Automation and DevNet Create Looking forward to it, thank you. >> Thank you so much, >> All right, thanks a lot. >> Happy to be here. >> Okay, I'm John Furrier with theCUBE virtual here in Palo Alto studios doing the remote content and men, we stay virtual until we're face to face. Thank you so much for watching and we'll see you at DevNet Create. Thanks for watching. (upbeat outro) >> Controller: Okay John, Here we go, John. Here we go. John, we're coming to you in five, four, three, two. >> Hello, and welcome to theCUBE. I'm John Furrier, your host. We've got a great conversation and a virtual event, Accelerating Automation with DevNet, Cisco DevNet. And of course we got the Cisco brain trust here. Cube alumni, Susie Wee, Senior Vice President GM and also CTO at Cisco DevNet and Ecosystem Success CX, all that great stuff. Mandy Whaley, who's the Director, Senior Director of DevNet Certifications, and Eric Thiel, Director of Developer Advocacy. Susie, Mandy, Eric, great to see you. Thanks for coming on. >> Great to see you, John. So we're not in person. >> It's great to be here >> We don't, can't be at the DevNet zone. We can't be on site doing DevNet Create, all the great stuff we've been doing over the past few years. We're virtual, theCUBE virtual. Thanks for coming on. Susie, I got to ask you because you know, we've been talking years ago when you started this mission and just the success you had has been awesome. But DevNet Create has brought on a whole nother connective tissue to the DevNet community. This ties into the theme of Accelerating Automation with DevNet, because you said to me, I think four years ago, everything should be a service or XaaS as it's called. And automation plays (Susie laughs) a critical role. Could you please share your vision because this is really important and still only five to 10% of the enterprises have containerized things. So there's a huge growth curve coming with developing and programmability. What's your vision? >> Yeah, absolutely. I mean, what we know is that as more and more businesses are coming online as ,well I mean, they're all online, but as they're growing into the cloud, as they're growing in new areas, as we're dealing with security, as everyone's dealing with the pandemic, there's so many things going on, but what happens is there's an infrastructure that all of this is built on and that infrastructure has networking. It has security. It has all of your compute and everything that's in there. And what matters is how can you take a business application and tie it to that infrastructure? How can you take, you know, customer data? How can you take business applications? How can you connect up the world securely and then be able to, you know, really satisfy everything that businesses need. And in order to do that, you know, the whole new tool that we've always talked about is that the network is programmable. The infrastructure is programmable and you don't need just apps riding on top, but now they get to use all of that power of the infrastructure to perform even better. And in order to get there, what you need to do is automate everything. You can't configure networks manually. You can't be manually figuring out policies, but you want to use that agile infrastructure in which you can really use automation. You can rise to higher level business processes and tie all of that up and down the stack by leveraging automation. >> You know, I remember a few years ago when DevNet Create first started, I interviewed Todd Nightingale and we were talking about Meraki, you know, not to get in the weeds, but you know, switches and hubs and wireless. But if you look at what we were talking about then, this is kind of what's going on now. And we were just recently, I think our last physical event was Cisco Europe in Barcelona before all the COVID hit. And you had this massive cloud surge and scale happening going on right when the pandemic hit. And even now more than ever, the cloud scale, the modern apps, the momentum hasn't stopped because there's more pressure now to continue addressing more innovation at scale because the pressure to do that because the businesses need >> Absolutely. >> to stay alive. I just want to get your thoughts on what's going on in your world, because you were there in person now we're six months in scale is huge. >> We are. Yeah, absolutely. And what happened is, as all of our customers, as businesses around the world, as we ourselves all dealt with, how do we run a business from home? You know, how do we keep people safe? How do we keep people at home and how do we work? And then it turns out, you know, business keeps rolling, but we've had to automate even more because you have to go home and then figure out how from home, can I make sure that my IT infrastructure is automated? How from home can I make sure that every employee is out there and working safely and securely, you know, things like call center workers, which had to go into physical locations and be in kind of, you know, just, you know, blocked off rooms to really be secure with their company's information. They had to work from home. So we had to extend business applications to people's homes in countries like, you know, well around the world, but also in India where it was actually not, you know, not, they wouldn't let, they didn't have rules to let people work from home in these areas. So then what we had to do was automate everything and make sure that we could administer, you know, all of our customers could administer these systems from home. So that put extra stress on automation. It put extra stress on our customer's digital transformation and it just forced them to, you know, automate, digitally transform quicker. And they had to, because you couldn't just go into a server room and tweak your servers, you had to figure out how to automate all of that. And we're still all in that environment today. >> You know one of the hottest trends before the pandemic was observability, Kubernetes microservices. So those things, again, all DevOps and you know, you guys got some acquisitions, you bought ThousandEyes, you got a new one. You just bought recently PortShift to raise the game in security, Kuber and all these microservices. So observability is super hot, but then people go work at home as you mentioned. How do you observe, what are you observing? The network is under a huge pressure. I mean, it's crashing on people's Zooms and Web Ex's and education, huge amount of network pressure. How are people adapting to this in the app side? How are you guys looking at the, what's being programmed? What are some of the things that you're seeing with use cases around this programmability challenge and observability challenges? It's a huge deal. >> Yeah, absolutely. And you know, going back to Todd Nightingale, right? You know, back when we talked to Todd before he had Meraki and he had designed this simplicity, this ease of use, this cloud managed, you know, doing everything from one central place. And now he has Cisco's entire enterprise and cloud business. So he is now applying that at that bigger scale for Cisco and for our customers and he is building in the observability and the dashboards and the automation and the APIs into all of it. But when we take a look at what our customers needed is again, they had to build it all in. They had to build in. And what happened was how your network was doing, how secure your infrastructure was, how well you could enable people to work from home and how well you could reach customers. All of that used to be an IT conversation. It became a CEO and a board level conversation. So all of a sudden CEOs were actually, you know, calling on the heads of IT and the CIO and saying, you know, how's our VPN connectivity? Is everybody working from home. How many people are you know, connected and able to work and what's their productivity? So all of a sudden, all these things that were really infrastructure IT stuff became a board level conversation. And, you know once again, at first everybody was panicked and just figuring out how to get people working. But now what we've seen in all of our customers is that they are now building in automation and digital transformation and these architectures, and that gives them a chance to build in that observability, you know, looking for those events, the dashboards, you know, so it really has been fantastic to see what our customers are doing and what our partners are doing to really rise to that next level. >> Susie, I know you got to go, but real quick, describe what Accelerating Automation with DevNet means. >> (laughs) Well, you know, we've been working together on DevNet in the vision of the infrastructure programmability and everything for quite some time. And the thing that's really happened is yes, you need to automate, but yes, it takes people to do that and you need the right skill sets and the programmability. So a networker can't be a networker. A networker has to be a network automation developer. And so it is about people and it is about bringing infrastructure expertise together with software expertise and letting people run things. Our DevNet community has risen to this challenge. People have jumped in, they've gotten their certifications. We have thousands of people getting certified. You know, we have, you know, Cisco getting certified. We have individuals, we have partners, you know, they're just really rising to the occasion. So accelerating automation, while it is about going digital, it's also about people rising to the level of, you know, being able to put infrastructure and software expertise together to enable this next chapter of business applications, of you know, cloud directed businesses and cloud growth. So it actually is about people just as much as it is about automation and technology. >> And we got DevNet Create right around the corner virtual, unfortunately won't be in person, but will be virtual. Susie, thank you for your time. We're going to dig into those people challenges with Mandy and Eric. Thank you for coming on. I know got to go, but stay with us. We're going to dig in with Mandy and Eric. Thanks. >> Thank you so much. Have fun. >> Thank you. >> Thanks, John. >> Okay, Mandy, you heard Susie, it's about people. And one of the things that's close to your heart you've been driving is, as senior director of DevNet Certifications is getting people leveled up. I mean the demand for skills, cybersecurity, network programmability, automation, network design, solution architect, cloud multicloud design. These are new skills that are needed. Can you give us the update on what you're doing to help people get into the acceleration of automation game? >> Oh yes, absolutely. You know, what we've been seeing is a lot of those business drivers that Susie was mentioning. Those are what's accelerating a lot of the technology changes and that's creating new job roles or new needs on existing job roles where they need new skills. We are seeing customers, partners, people in our community really starting to look at, you know, things like DevSecOps engineer, network automation engineer, network automation developer which Susie mentioned, and looking at how these fit into their organization, the problems that they solve in their organization. And then how do people build the skills to be able to take on these new job roles or add that job role to their current scope and broaden out and take on new challenges. And this is why we created the DevNet certification. Several years ago, our DevNet community, who's been some of those engineers who have been coming into that software and infrastructure side and meeting. They ask us to help create a more defined pathway to create resources, training, all the things they would need to take all those steps to go after those new jobs. >> Eric, I want to go to you for a quick second on this piece of getting the certifications. First, before we get started, describe what your role is as Director of Developer Advocacy, because that's always changing and evolving. What's the state of it now because with COVID people are working at home, they have more time to contact Switch, and get some certifications and yet they can code more. What's your role >> Absolutely. So it's interesting. It definitely is changing a lot. A lot of our, historically a lot of focus for my team has been on those outward events. So going to the DevNet Creates, the Cisco Lives and helping the community connect and to help share technical information with them, doing hands-on workshops and really getting people into how do you really start solving these problems? So that's had to pivot quite a bit. Obviously Cisco Live US, we pivoted very quickly to a virtual event when conditions changed and we were able to actually connect as we found out with a much larger audience. So, you know, as opposed to in-person where you're bound by the parameters of you know, how big the convention center is. We were actually able to reach a worldwide audience with our DevNet Day that was kind of attached onto Cisco Live. And we got great feedback from the audience that now we were actually able to get that same enablement out to so many more people that otherwise might not have been able to make it, but to your broader question of, you know, what my team does. So that's one piece of it is getting that information out to the community. So as part of that, there's a lot of other things we do as well. We were always helping out build new sandboxes new learning labs, things like that, that they can come and get whenever they're looking for it out on the DevNet site. And then my team also looks after communities such as the Cisco Learning Network where there's a huge community that has historically been there to support people working on their Cisco certifications. And we've seen a huge shift now in that group that all of the people that have been there for years are now looking at the DevNet certifications and helping other people that are trying to get on board with programmability, they're taking a lot of those same community enablement skills and propping up the community with, you know, helping answer questions, helping provide content. They've moved now into the DevNet space as well, and are helping people with that set of certifications. So it's great seeing the community come along and really see that. >> Yeah, I mean, it's awesome, and first of all, you guys done a great job. I'm always impressed when we were at physical events in the DevNet Zone, just the learning, the outreach. Again, very open, collaborative, inclusive, and also, you know, you had one-on-one classes and talks to full blown advanced, (sneezes)Had to sneeze there >> Yeah, and that's the point. >> (laughs)That was coming out, got to cut that out. I love prerecords. >> Absolutely. >> That's never happened to me to live by the way. I've never sneezed live on a thousand--. (Eric laughs) >> You're allergic to me. >> We'll pick up. >> It happens. >> So Eric, so I got to ask you on the trends around automation, what skills and what developer patterns are you seeing with automation? Is there anything in particular? Obviously network automation has been around for a long time. Cisco has been a leader in that, but as you move up the stack, as modern applications are building, do you see any patterns or trends around what is accelerating automation? What are people learning? >> Yeah, absolutely. So you mentioned observability was big before COVID and we actually really saw that amplified during COVID. So a lot of people have come to us looking for insights. How can I get that better observability now that we need it while we're virtual. So that's actually been a huge uptick. And we've seen a lot of people that weren't necessarily out looking for things before that are now figuring out how can I do this at scale? And I think one good example that Susie was talking about the VPN example. And we actually had a number of SEs in the Cisco community that had customers dealing with that very thing where they very quickly had to ramp up. And one in particular actually wrote a bunch of automation to go out and measure all of the different parameters that IT departments might care about, about their firewalls, things that you didn't normally look at in the old days, you would size your firewalls based on, you know, assuming a certain number of people working from home. And when that number went to 100%, things like licensing started coming into play, where they needed to make sure they had the right capacity in their platforms that they weren't necessarily designed for. So one of the SEs actually wrote a bunch of code to go out, used some open source tooling to monitor and alert on these things and then published it, so the whole community could go out and get a copy of it, try it out in their own environment. And we saw a lot of interest around that in trying to figure out, okay, now I can take that and I can adapt it to what I need to see for my observability. >> That's huge and you know, you brought up this sharing concept. I mean, one of the things that's interesting is you've got more sharing going on. >> Controller: John, let's pause right here. Let's pause right here. I'm going to try and bring Eric and Mandy and everybody out. And then just start right from here to bring Eric and Mandy back in and close up. Stand by Eric just hold tight. >> All right, hold on >> Controller: just for one moment. Hold tight, we got Mandy back >> Controller: Standby. Standby. Standby. Standby, standby, standby. Hold hold hold.

>> Welcome to "theCUBE's" coverage of "Compute Engineered for Your Hybrid World" sponsored by HPE and Intel. I'm John Furrier, host of "theCUBE" with the new fourth gen Intel Z on scalable process being announced, HPE is releasing four new HPE ProLiant Gen 11 servers and here to talk about the feature of those servers as well as the partnership between HPE and Intel, we have Darren Anthony, director compute server product manager with HPE, and Suzi Jewett, general manager of the Zion products with Intel. Thanks for joining us folks. Appreciate you coming on. >> Thanks for having us. (Suzi's speech drowned out) >> This segment is about NextGen enhanced scale of process. Obviously the Zion fourth gen. This is really cool stuff. What's the most exciting element of the new Intel fourth gen Zion processor? >> Yeah, John, thanks for asking. Of course, I'm very excited about the fourth gen Intel Zion processor. I think the best thing that we'll be delivering is our new ong package accelerators, which you know allows us to service the majority of the server market, which still is buying in that mid core count range and provide workload acceleration that matters for every one of the products that we sell. And that workload acceleration allows us to drive better efficiency and allows us to really dive into improved sustainability and workload optimizations for the data center. >> It's about al the rage about the cores. Now we got the acceleration continued to innovate with Zion. Congratulations. Darren what does the new Intel fourth Gen Zion processes mean for HPE from the ProLiant perspective? You're on Gen 11 servers. What's in it? What's it mean for you guys and for your customers? >> Well, John, first we got to talk about the great partnership. HPE and Intel have been partners delivering innovation for our server products for over 30 years, and we're continuing that partnership with HP ProLiant Gen 11 servers to deliver compelling business outcomes for our customers. Customers are on a digital transformation journey, and they need the right compute to power applications, accelerate analytics, and turn data into value. HP ProLiant Compute is engineered for your hybrid world and delivers optimized performance for your workloads. With HP ProLiant Gen 11 servers and Intel fourth gen Zion processors, you can have the performance to accelerate workloads from the data center to the edge. With Gen 11, we have more. More performance to meet new workload demands. With PCI Gen five which delivers increased bandwidth with room for more data and graphics accelerators for workloads like VDI, our new demands at the edge. DDR5 memory springs greater bandwidth and performance increases for low latency and memory solutions for database and analytics workloads and higher clock speed CPU chipset combinations for processor intensive AI and machine learning applications. >> Got to love the low latency. Got to love the more performance. Got to love the engineered for the hybrid world. You mentioned that. Can you elaborate more on engineered for the hybrid world? What does that mean? Can you elaborate? >> Well, HP ProLiant Compute is based on three pillars. First, an intuitive cloud operating experience with HPE GreenLake compute ops management. Second, trusted security by design with a zero trust approach from silicone to cloud. And third, optimize for performance for your workloads, whether you deploy as a traditional infrastructure or a pay-as-you-go model with HPE GreenLake on-premise at the edge in a colo and in the public cloud. >> Well, thanks Suzi and Darren, we'll be right back. We're going to take a quick break. We're going to come back and do a deep dive and get into the ProLiant Gen 11 servers. We're going to dig into it. You're watching "theCUBE," the leader in high tech enterprise coverage. We'll be right back. (upbeat music) >> Hello everyone. Welcome back continuing coverage of "theCUBE's" "Compute Engineered for Your Hybrid World" with HP and Intel. I'm John Furrier, host of "theCUBE'" joined back by Darren Anthony from HPE and Suzie Jewitt from Intel. as we continue our conversation on the fourth gen Zion scalable processor and HP Gen 11 servers. Suzi, we'll start with you first. Can you give us some use cases around the new fourth gen, Intel Zion scalable processors? >> Yeah, I'd love to. What we're really seeing with an ever-changing market, and you know, adapting to that is we're leading with that workload focus approach. Some examples, you know, that we see are with vRAN. For in vRAN, we estimate the 2021 market size was about 150 million, and we expect a CAG of almost 30% all the way through 2030. So we're really focused on that, on, you know deployed edge use cases, growing about 10% to over 50% in 2026. And HPC use cases, of course, continue to grow at a study CAGR around, you know, about 7%. Then last but not least is cloud. So we're, you know, targeting a growth rate of almost 20% over a five year CAGR. And the fourth G Zion is targeted to all of those workloads, both through our architectural improvements that, you know deliver node level performance as well as our operational improvements that deliver data center performance. And wrapping that all around with the accelerators that I talked about earlier that provide that workload specific improvements that get us to where our customers need to operationalize in their data center. >> I love the focus solutions around seeing compute used that way and the processors. Great stuff. Darren, how do you see the new ProLiant Gen 11 servers being used on your side? I mean obviously, you've got the customers deploying the servers. What are you seeing on those workloads? Those targeted workloads? (John chuckling) >> Well, you know, very much in line with what Suzi was talking about. The generational improvements that we're seeing in performance for Gen 11. They're outstanding for many different use cases. You know, obviously VDI. what we're seeing a lot is around the analytics. You know, with moving to the edge, there's a lot more data. Customers need to convert that data into something tangible. Something that's actionable. And so we're really seeing the strong use cases around analytics in order to mine that data and to make better, faster decisions for the customers. >> You know what I love about this market is people really want to hear about performance. They love speed, they love the power, and low power, by the way on the other side. So, you know, this has really been a big part of the focus now this year. We're seeing a lot more discussion. Suzi, can you tell us more about the key performance improvements on the processors? And Darren, if you don't mind, if you can follow up on the benefits of the new servers relative to the performance. Suzi? >> Sure, so, you know, at a standard expectant rate we're looking at, you know, 60% gen over gen, from our previous third gen Zion, but more importantly as we've been mentioning is the performance improvement we get with the accelerators. As an example, an average accelerator proof point that we have is 2.9 times improvement in performance per wat for accelerated workloads versus non-accelerated workloads. Additionally, we're seeing really great and performance improvement in low jitter so almost 20 to 50 times improvement versus previous gen in jitter on particular workloads which is really important, you know to our cloud service providers. >> Darren, what's your follow up on this? This is obviously translates into the the gen 11 servers. >> Well, you know, this generation. Huge improvements across the board. And what we're seeing is that not only customers are prepared for what they need now you know, workloads are evolving and transitioning. Customers need more. They're doing more. They're doing more analytics. And so not only do you have the performance you need now, but it's actually built for the future. We know that customers are looking to take in that data and do something and work with the data wherever it resides within their infrastructure. We also see customers that are beginning to move servers out of a centralized data center more to the edge, closer to the way that where the data resides. And so this new generation really tremendous for that. Seeing a lot of benefits for the customers from that perspective. >> Okay, Suzi, Darren, I want to get your thoughts on one of the hottest trends happening right now. Obviously machine learning and AI has always been hot, but recently more and more focus has been on AI. As you start to see this kind of next gen kind of AI coming on, and the younger generation of developers, you know, they're all into this. This is really the one of the hottest trends of AI. We've seen the momentum and accelerations kind of going next level. Can you guys comment on how Zion here and Gen 11 are tying into that? What's that mean for AI? >> So, exactly. With the fourth gen Intel Zion, we have one of our key you know, on package accelerators in every core is our AMX. It delivers up to 10 times improvement on inference and training versus previous gens, and, you know throws the competition out of the water. So we are really excited for our AI performance leading with Zion >> And- >> And John, what we're seeing is that this next generation, you know you're absolutely right, you know. Workloads a lot more focused. A lot more taking more advantage of AI machine learning capabilities. And with this generation together with the Intel Zion fourth gen, you know what we're seeing is the opportunity with that increase in IO bandwidth that now we have an opportunity for those applications and those use cases and those workloads to take advantage of this capability. We haven't had that before, but now more than ever, we've actually, you know opened the throttle with the performance and with the capabilities to support those workloads. >> That's great stuff. And you know, the AI stuff also does all lot on differentiated heavy lifting, and it needs processing power. It needs the servers. This is just, (John chuckling) it creates more and more value. This is right in line. Congratulations. Super excited by that call out. Really appreciate it. Thanks Suzi and Darren. Really appreciate. A lot more discuss with you guys as we go a little bit deeper. We're going to talk about security and wrap things up after this short break. I'm John Furrier, "theCUBE," the leader in enterprise tech coverage. (upbeat music) >> Welcome back to "theCUBE's" coverage of "Compute Engineered for Your Hybrid World." I'm John Furrier, host of "theCUBE" joined by Darren Anthony from HPE and Suzi Jewett from Intel as we turn our discussion to security. A lot of great features with the new Zion scalable processor's gen four and the ProLiant gen 11. Let's get into it. Suzi, what are some of the cool features of the fourth gen Intel Zion scalable processors? >> Sure, John, I'd love to talk about it. With fourth gen, Intel offers the most comprehensive confidential computing portfolio to really enhance data security and ingest regulatory compliance and sovereignty concerns. A couple examples of those features and technologies that we've included are a larger baseline enclave with the SGX technology, which is our application isolation technology and our Intel CET substantially reduces the risk of whole class software-based attacks. That wrapped around at a platform level really allows us, you know, to secure workload acceleration software and ensure platform integrity. >> Darren, this is a great enablement for HPE. Can you tell us about the security with the the new HP ProLiant Gen 11 servers? >> Absolutely, John. So HP ProLiant engineered with a fundamental security approach to defend against increasingly complex threats and uncompromising focus on state-of-the-art security innovations that are built right into our DNA, from silicon to software, from the factory to the cloud. It's our goal to protect the customer's infrastructure, workloads, and the data from threats to hardware and risk from third party software and devices. So Gen 11 is just a continuation of the the great technological innovations that we've had around providing zero trust architecture. We're extending our Silicon Root of Trust, and it's just a motion forward for innovating on that Silicon Root of Trust that we've had. So with Silicon Root of Trust, we protect millions of lines of firmware code from malware and ransomware with the digital footprint that's unique to the server. With this Silicon Root of Trust, we're securing over 4 million HPE servers around the world and beyond that Silicon, the authentication of and extending this to our partner ecosystem, the authentication of platform components, such as network interface cards and storage controllers just gives us that protection against additional entry points of security threats that can compromise the entire server infrastructure. With this latest version, we're also doing authentication integrity with those components using the security protocol and data model protocol or SPDM. But we know that trusted and protected infrastructure begins with a secure supply chain, a layer of protection that starts at the manufacturing floor. HP provides you optimized protection for ProLiant servers from trusted suppliers to the factories and into transit to the customer. >> Any final messages Darren you'd like to share with your audience on the hybrid world engineering for the hybrid world security overall the new Gen 11 servers with the Zion fourth generation process scalable processors? >> Well, it's really about choice. Having the right choice for your compute, and we know HPE ProLiant servers, together, ProLiant Gen 11 servers together with the new Zion processors is the right choice. Delivering the capabilities to performance and the efficiency that customers need to run their most complex workloads and their most performance hungry work workloads. We're really excited about this next generation of platforms. >> ProLiant Gen 11. Suzi, great customer for Intel. You got the fourth generation Zion scalable processes. We've been tracking multiple generations for both of you guys for many, many years now, the past decade. A lot of growth, a lot of innovation. I'll give you the last word on the series here on this segment. Can you share the the collaboration between Intel and HP? What does it mean and what's that mean for customers? Can you give your thoughts and share your views on the relationship with with HPE? >> Yeah, we value, obviously HPE as one of our key customers. We partner with them from the beginning of when we are defining the product all the way through the development and validation. HP has been a great partner in making sure that we deliver collaboratively to the needs of their customers and our customers all together to make sure that we get the best product in the market that meets our customer needs allowing for the flexibility, the operational efficiency, the security that our markets demand. >> Darren, Suzi, thank you so much. You know, "Compute for an Engineered Hybrid World" is really important. Compute is... (John stuttering) We need more compute. (John chuckling) Give us more power and less power on the sustainability side. So a lot of great advances. Thank you so much for spending the time and give us an overview on the innovation around the Zion and, and the ProLiant Gen 11. Appreciate your time. Appreciate it. >> You're welcome. Thanks for having us. >> You're watching "theCUBE's" coverage of "Compute Engineered for Your Hybrid World" sponsored by HPE and Intel. I'm John Furrier with "theCUBE." Thanks for watching. (upbeat music)

(upbeat music) >> Narrator: From our studios, in the heart of Silicon Valley, Palo Alto, California. This is a CUBE Conversation. >> Hello and welcome to theCUBE studios, in Palo Alto California, for another CUBE Conversation, where we go in-depth with thought leaders driving innovation across the tech industry. I'm your host, Peter Burris. Anybody that's read any Wikibon research or been a part of any conversation with anybody here at SiliconANGLE, knows we're big believers in the notion of digital business, and digital business transformation. Simply put, the difference between a business and a digital business is the role that data plays in a digital business. Digital businesses use data to change their value propositions, better manage and get greater visibility and utilization out of their assets, and ultimately drive new types of customer experience. That places an enormous burden on the technologies, the digital technologies that have historically been associated with IT, but now are becoming more deeply embedded within the business. And that digital business transformation is catalyzing a whole derivative set of other transformations. Including for example, technology, data centers, security, et cetera. It's a big topic, and to start to parse it and make some sense of it, we're joined by two great guests today- Michael Segal is the area vice-president of strategic alliances at NETSCOUT Systems, and Eric Smith is the senior product line manager of NETSCOUT Systems. Gentlemen, welcome to theCUBE. >> Pleasure to be here, Peter. >> Okay, so, Michael let's get going on. Give us a quick update on NETSCOUT Systems. >> Yeah, so maybe just a quick introduction of what NETSCOUT actually does. So, NETSCOUT assures service performance and security for the largest enterprises and service providers in the world. And the way we accomplish it is through what we refer to as offering visibility without borders. Now, this visibility without borders provides actionable intelligence that enables, very quickly and efficiently to enterprises and service providers, ensure their service performance and security, understand, discover problems, root cause, and solution. So it overall reduces their mean time to repair, and it's being used to assure that digital transformation and other transformation initiatives are executed effectively by the IT organization. >> All right, so let's jump in to this notion of transformation. Now, I know that you and I have spent, on a couple different occasions, talked about the idea of digital business transformation. What does digital business transformation mean to NETSCOUT, and some of the other derivative transformations that are associated with it? >> Right, so as you described very very concisely in your introduction, the business transformation is about enabling the business through digital services and data to differentiate itself from competition very very effectively. Now, one of the aspects of this digital transformation is that now more than ever before, the CIOs are taking a very active role in this transformation because obviously, information technology is responsible for digital services and processing and analyzing data. So with that in mind, the CIOs now need to support the business aspects of agility, right? So if your business agility involves introducing new services very quickly and efficiently, the IT organization needs to support that, and at the same time, they also need to assure that the employee productivity and end user experience is maintained at the highest levels possible. So this is exactly where NETSCOUT comes in, and we support the IT organization by providing this visibility without borders, to assure that employee productivity and end user experience is maintained and any issues are resolved very quickly and efficiently. >> Especially customer experience, and that's increasingly the most important, end users that any digital business has to deal with. At this point in time Eric, I want to bring you in to the conversation. When we talk about this notion of greater visibility, greater security, over digital assets, and the role that the CIO is playing, that also suggests that there is a new class of roles for architects, for people who have historically been associated more with running the networks, running the systems, how is their role changing, and how is that part of the whole concept of data centered transformation? >> Right, so, the guys that have typically been in what you might consider network operations types of roles, their roles are evolving as well, as the entire organization does. So as Michael mentioned beforehand, no longer is the digital business wholly and solely confined to an IT department that is working just with their employees. They're now part of the business. They're not just the cost center anymore, they're actually an asset to the business. And they are supporting lines of business. So the folks that have traditionally had these roles have just maintained the network, maintained the applications, are having to become experts in other aspects. So as certain applications disaggregate, or potentially move out partially into the cloud, they kind of become cloud architects as well, whether it's a public cloud or a private cloud, they have to understand those relationships and they have to understand what happens when you spread your network out beyond your traditional data center core. >> So let's build on that, because that suggests that the ultimate solution for how we move forward has to accommodate greater visibility, end-to-end, across resources, not only that we have traditionally controlled, and therefore could decide how much visibility we had, if the tooling was right, but also resources that are outside of our direct purview. How does that work as we think about building this end to end visibility to improve the overall productivity and capability, as you said, the productivity and end user experience, of the systems we're deploying? >> Yeah, so maybe we can start with the end in mind, and what I mean by that is what you just described as end user productivity and user experience, so how do we measure it, right? So in order to measure it, what we need to look is the visibility at the service level. And what I mean by visibility at the service level is actually looking, not just at once specific component that is associated with the servers such as application, it's one component, however application is running on a network, you have service enablers, for example to authenticate, to do accounting, to do DNS resolution, so you need to look at all of these components of a service and be able to effectively provide visibility across all of them. Now, the other aspect of this visibility, as you mentioned, end-to-end, which is an excellent observation as well, because you're looking at the data center, which is still very strategic assets, your crown jewels are still going to be in the data center, some of the data will remain there, but now you are expanding to the edge, maybe colos, maybe microdata centers in the colos, then you move workloads, migrate them to public clouds, it can be IaaS, you have more SaaS providers that provide you with different services. So this aspect of end-to-end really evolves into geographically dispersed, very complex and highly scalable architecture. >> Yeah, we like to say that the cloud is not an architecture, not a strategy, for centralizing resources. Rather, it's a strategy for greater distributing resources, allowing data to be where it needs to be to perform the function, or where it gets captured, allowing the service to be able to go to the data, to be able to perform the work that needs to be conducted from a digital business standpoint. That suggests that even though a customer, let's call it the end user, and the end user experience, may get a richer set of capabilities, but the way by which that work is being performed gets increasingly complex, and partly, it sounds like, that it's complexity that has to be administered and monitored so that you don't increase the time required to understand the nature of a problem, understand the nature of the fix. Have I got that right? >> You got it absolutely right, and I would add to this that the complexity that you described is being further magnified by the fact that you lose control to some extent, as you mentioned before, right? >> Or because, let's put it this way, it becomes a contracting challenge as opposed to a command and control challenge. Now the CIO can't tell Mike, "Go fix it", the CIO has to get on the phone with a public cloud provider and say, our service level says, and that's a different type of interaction. >> Right, and usually the service provider would say, the problem is not on my side, it's on your side, so the traditional finger pointing in war rooms now, is being expanded across multiple service providers, and you need to be able to very effectively and quickly identify this is the root cause, this is why it's your fault, service provider, it's not our fault, please go and fix it. >> So let's dig into that if we can, Eric, this notion of having greater visibility so that you are in a better position to actually identify the characteristics of the problem, and where the responsibilities lie. How is that working? >> So, in the past, or when the digital transformation started it's initial rise, it wasn't. And what was happening is, as you both have alluded to a moment ago, I can no longer call Mike and Suzie downstairs, and say you know, voicemail is not working, things are just, not working. Well, you can go sic them on it and they go fix it. What's happening now is that data is leaving your data center, it may be going through something like a colo, which is aggregating the data, and then sending it on to your partner, that is providing these services. So what you have to have is a way to regain that visibility into those last mile segments, if you will, so that as you work with your partners, whether it's the colo or the in-software provider, that you can say look, I can see things from here, I can see things to there, and here's where it goes south, and this is the problem, help me fix it. And so, as you said a moment ago, you cannot let your mean time to resolution expand simply because you're engaging in these digital transformation activities. You need to remain at least as good as you did before, and hopefully better. >> Well, you have to be better, because your business is becoming more dependent on your digital business capabilities, increasingly it's becoming your business. So let me again dig a little more deeper technically into that. A lot of companies are attempting to essentially provide a summary view of that data, that's moving around a network, moving across these different centers and locations, edge, colo, et cetera, what is the right way to do it? What constitutes real truth when we talk about how these systems are going to work? >> So NETSCOUT believes, and I think most people wouldn't argue with us, that when you can actually see the packet data that goes across the network, you know what elements are talking to which ones, and you can see that, and you can build metrics, and you can build views upon that, that is very high fidelity data, and you absolutely know what's going on. We like to call it the single source of truth. So as things come from the deep part of the data center, whether it's a virtualized server farm, all the way through this core of the network, and your service enablers like Michael mentioned, all the through the colos, and out into an IAS or SaaS type of environment, if you're seeing what's actually being on the wire, and who's talking to whom, you know what's going on, and you can quickly triage and identify what the problem is so that you can solve it. >> Now is that something that increasingly architects or administrators are exploiting as they use these new classes of tools to gain that visibility into how the different services are working together? And also, is that becoming a feature of how SLAs and contracts are being written, so that we can short circuit the finger pointing with our service providers? >> Yeah, so there's kind of like you said, two parts that, the first is I think, a lot of the traditional IT operations folks, as you mentioned earlier, are learning new roles, so to some degree, it is new for them, and I don't know that everybody has started to make use of those tools yet, but that's part of what our story is to them, is that we can provide those tools for you, so that you can continue to isolate and solve these problems. And I'm sorry, what was the second part of your question? >> Well, the second part is, how does that translate into contracting? Does that knowledge about where things actually work inform a contracting process to reduce the amount of finger pointing, which by the way, is a major transaction cost and a major barrier to getting things done quickly. >> Absolutely, and so you since you have this high fidelity data at every step of the way, and you can see what's happening, you can prove to your partners where the problem lies. If I find it on my side of it, okay, no harm no foul, I'll go fix it and move on with my life. But with that data, with that high fidelity data, and being able to see all the transactions and all the applications, and all the communications that happens end-to-end, through the network between me and my partner, I can show them that they are outside of their SLA. And to your point, it should shorten the time between the finger pointing, because I have good data that says, this is the problem. You can't dispute that. And so, they're much more inclined to work with you in a hopefully, very good way, to fix the problem. >> So that brings us back to the CIO. And I want to close with you on this, Michael. That's got to make a CIO happier, who is today facing a lot of business change, and is trying to provide a lot, you said agility, I'll use the word an increasing array of business and strategy options based on digital technology. Ensuring that they have greater certainty in the nature of the services, the provider of the services, and in the service levels of the services, has got to be an essential feature of their decision making toolkit as they provide business with different ranges of options, right? >> Absolutely correct. In fact, the high fidelity data is so critical in order to accomplish this, right, so in order for the CIO to be able to demonstrate to the CEO and other key executives that his objectives are met, the KPIs for that are along the lines of your efficiency, your service delivery capabilities, and being able to monitor everything in real time. So, the high fidelity data, I just want to elaborate a little bit more on what it means, because that's the difference between having these key performance indicators that are relevant for the CIO, and relevant also for other key stakeholders, and having something that is best guess, and maybe it's going to help. So high fidelity data, the way that NETSCOUT defines it, has several components. First of all, because it's based on traffic, or packet data, or wire data, it means that we continuously monitor the data, continuously analyze it, and it's the single source of truth because there's consistency in terms of what data is being exchanged. So the more visibility you get into the data that's being exchanged between different workloads, the more intelligence you can glean from it. The other aspect is that it's really, we mentioned, the service level, and if you think of packet data, it's all layers two through seven, so you have the data link layer, you have the network, you have the transport, you have the session, you have application, you can holistically identify any application, and provide you with error codes and in context, say you know the log and latency and error codes give you the overall picture. So this all together constitutes very high fidelity data. And at the end of the day, if the CIO wants to accelerate the digital transformation with confidence, this is the kind of high fidelity data that you need in order to assure that your key performance indicators, as CIO, are being maintained. >> This is the as is truth. >> Exactly. >> All right, Michael Segal, Eric Smith, I want to thank you both for being on theCUBE. >> Thank you for having me. >> Thank you very much Peter, for having us. >> And thanks for joining us for another CUBE Conversation. I'm Peter Burris, see you next time. (upbeat music)

>> from our studios in the heart of Silicon Valley, Palo Alto, California It is a cute conversation. >> Hello and welcome to the Special Cube conversation with remote gas. Steve, harried managing director of General Catalyst, is he's a venture capitalist. >> Former >> CTO of the M. Where? Cube alumni. Steve, welcome to this special cube conversation coming in remote from Palo Alto. You're right across town, but still grab you big news happening. And also get your thoughts on the emerald 2019. Welcome to our remote conversation. >> Yeah, we were close. And yet this makes it even more convenient. We >> love the new format. Bring people into no matter where they are, no matter. Whatever it takes to get the stories we want to do that. And two important ones having. We know the emeralds coming next week. But congratulations. In order to you and your portfolio companies signal FX, another cube alumni from we've been covering since the beginning of their funding acquisition. Bye, Splunk today for over a billion dollars. 60% in cash and 40%. And stop. Congratulations. You've been on the board. You've known these guys from VM. We're quite a team. Quite an exit It's a win win for those guys. Congratulations. >> Yeah, Great group of guys. Several, which were at being where, as you as you mentioned, and as you've had on your show, that's great. They were doing a really good job of monitoring and getting metrics about applications and how they're doing it. And they're marrying it with spunk, stability to ingest logs and really understand operational >> data. And I think that combination will be very powerful. >> It brings kind of what we've been monitored. Calling Cloud 2.0, Suzie, monitoring 2.0, is really observe ability As the world starts moving into the kinds of service is we're seeing with Cloud on premises operations more than ever, that game has changed much more dynamic, and the security impact is significant. And certainly as as applications connect with its coyote or any I p device having that day, that scales really critical part of that. And I know signal left fax was one of those companies where you invested early, and I remember interviewing a couple of years ago in saying, Damn, these guys might be too early. I mean, they're so smart, they're so on it. But this is an example of skating to where the puck is As we increase, Key would say, These guys were just hitting their stride. Steve, can you Can you share any color commentary on on the deal and or you know why this is so important? >> Well, they've been at this for a long time, and they're a great team. I've been involved. Is investor less time? Obviously. But it was the really original team out of Facebook monitoring really at scale applications and then trying to take that technology that Facebook could use and applied it to our world. And, you know, as you discovered, we're in a world of micro service's and containers, and that is definitely hitting its stride right now. And so they were in the right place knowing how >> to monitor this very fast moving >> information and make some sense out of it. So you're a really good job on their part, and it was a pleasure to be >> along for part of the ride with him. >> It's great to me, great founders that have a vision and stay the course because, you know it's always it's always tricky when you're early to see the future especially around their top micro surfaces and containers way back before became the rage and now more relevant operationally for enterprises, it's easy to get distracted and man that fashion. We'll just jump on this trend of this way. They stayed the course. They stayed the nose to the grindstone and now observe ability. Which, to me is code word for monitoring. 2.0 is probably one of the hottest segments you saw Cummings going public companies filing the pager Duty dynatrace. Now you guys with your acquisition with Signal FX, This is an important sector this would normally be viewed in. I t. Rule is kind of list of white space, but it seems to be a much bigger landscape. Can you comment on your view on this and why it's so important? Why is observe ability so hot? Steve? >> Well, it's been this actually had a great market to be in for quite a while. They've been a large number of companies, continue to be both built up, and it's pretty simple. That amount of e commerce, or the amount of customer interactions you're having over applications and over the Web has gone up, and so anything that's not performing well or as downtime literally cost you a lot of money as a company. And so as these applications get more complex and they're being relied on >> Maur for revenue and for custom directions, >> you simply have to have better tools. And that's gonna be something that continues to evolve, that we got more complex, absent, more commerce is going >> to go through them. >> Complexity is actually something that people, a lot of people are talking about. I want to ask you something around today's marketplace, but I want you to compare and contrast it, similar to what your experience wasn't v m Where were you? The CTO virtual ization of all very, very quickly on ended up becoming a really critical component of the infrastructure, and a lot of people were pooh poohing that initially at first, then all sudden became. We've got to kill the M where you know so the resiliency of the M, where was such that they continue to innovate on virtualization, and so that's been a part of the legacy of V M wear, and the embers will cover next next week. But when you look at what's happening now with cloud computing and now some of the hybrid cloud up opportunities with Micro Service's and other other cool things. The role of the application is being is important part of the equation. It used to be the standup infrastructure, and that would enable the application to do things virtualization kind of change that game. Now you don't need to stand up. Any infrastructure could just deploy an application, and the infrastructure can be code and be self form, so you can have unique requirements. As infrastructure driven by the application, the whole world seemed to have flipped around. Do you see it that way? Is that accurate assessment? What's your thoughts on that? >> I think you're right on a bunch of fronts. People have been calling a different things, but the beauty of the, um where and you know this is a while ago now, but the reason it was successful is that you didn't have to change any of your software to use. It sort of slid him underneath an added value. But at the same time applications evolved. And so the that path of looking like hardware was something that was great for not changing applications. You have to think about a little differently when people are taking advantage of new application patterns or new service. Is that air in the cloud? And as you build up these as they're called cloud Native applications, it really is about the infrastructure. You know. It's job in life is to run applications. It sort of felt like the other way around. It used to be you wrote an application for what your infrastructure was. It shouldn't be like that anymore. It's about what you need to do to get the job done. And so we see the evolution of the clouds and their service. Is that air there? Certainly the notion of containers and a lot of the stuff that being where is now doing has been focused on those new applications and making sure Veum, where adds value to them, whatever type >> of application they are. >> It's interesting one of the exciting things in this way that we're on this year around multi cloud hybrid cloud in Public Cloud Now that we've kind of crossed over to the reality that public cloud has been there, done that succeeded I call that cloud 1.0, you saw the emergence of hybrid cloud. Even early on, around 2012 2013 we were talking about that of'em world instantly pad Kelsey here, but now you're seeing hybrid cloud validated. You got Outpost, you've got Azure stack, among other things. The reality is, if you are cloud native, you might not need to have anything on premise. Like companies like ours with 50 plus people. We don't have an I T department, but most enterprises have stuff on premise, so the nuance these days is around. You know, what's the architecture of of I T. These days, we add security into It's complicated. So these debates can there be a soul cloud for a workload? Certainly that's been something that we've been covering with the Amazon Jet I contract, where it's not necessarily a soul cloud for the entire Department of Defense. It's a soul cloud for the workload, the military application workload or app. The military. It's $10 million application, and it's okay to have one cloud, as we would say, But yet they're going to use Microsoft's cloud for other things. So the ODS having a multiple cloud approach, multiple environments, multiple vendors, if you will, but you don't have to split the cloud up. Her say This is kind of one of those conversations really evolving quickly because there's no real school of thought around this other than the old way, which was have a multi vendor environment split the things. What's your thoughts on the the workload relationship to the cloud? Is it okay to have a workload, have a single cloud for that workload and coexist with other clouds? >> It's funny. I've been thinking about this more lately. Where if you went back earlier in time, forgetting cloud, there used to be a lot of different type of servers that you >> can run on, whether it >> be a mainframe or a mini mainframe or Unix system or Olynyk system. And to some extent, people are choosing what would run where, based on the demands of the application, sometimes on price, sometimes on certifications or even what's been poured into the right one. So this is a beating myself, you know, that's that's a while ago. It's not too different to kind of think about the different kind of cloud service is there out there, whether you're running your own on your own data center or whether you're leveraging one from the other partners. I really do think in the ideal world you get your choice of the best possible platform for the application across a variety of characteristics. And it's kind of up to the vendors of management software and monitoring software at security software to give you more flexibility to choose where to run. And so for getting D'Amore exactly. But think of a virtualization layer that really tries to abstract out and let you more fluidly run things on different clouds. Do you think that's where a lot of the the core software is head of these days really >> enable that toe work better >> as a >> 1,000,000 other use cases, but with storage being moved around >> for disaster recovery or for whatever it else might >> be? But that quarter flexibility reminds me a lot of choosing what application >> would want. Run would run where within your own company >> and the kubernetes trend in containers certainly really makes that so much more flexible because you can still run VM. Where's viens beams under the covers over Put stuff on bare metal a lot of great opportunities that's exciting >> and you slap in a P I in front of them and micro service is sort of works in tandem with that so that you could really have your application composed >> across multiple environments. >> And I think the ob surveilling observe ability is so hot because it takes what network management was doing in the old way, which is monitoring. Make sure things are operating effectively and combining with data. And so when I heard about the acquisition of signal effects into Splunk, I'm like, There it is. We're back to data. So observe ability is really a data challenge and opportunity for using what would be a white space monitoring. But it's more than monitoring because it's about the data and the efficacy of that data and how it's being used, whether it's for security or whatever your thoughts >> s. So there's more data than ever, for sure, and so being able to stream that in being able to capture it at cost, all that is a big part of our environment still working. The key thing is turning that into some actionable insight, and whether you're using no interesting calculations for that or different forms of machine learning like that's where this really has to go is with all this data coming in. How do >> I avoid false false >> positives? How do I only alert people when needed, then that allows you to do what everyone's talked about for 30 years, which is automatic remediation. But for now, let's talk about it. Is how do I process all of this rich data and give me the right information to take action? >> Do you want to thank you for coming on this promote cube conversation? You've been with us at the Cube since 2010. I think our first cube event was A M C. World 2010. That show doesn't existing longer because that folded into Del Technologies world. So VM world next week is the last show standing that has been around since the Cube. You've been around? Of course, you guys had VM worlds had their 10th anniversary was 2013 as a show. But this is our 10th year. Well, thank you for being part of our community and being a contributor with your commentary and your friendship and referral. Appreciate all that. So I gotta ask you looking back over the 10 years since you been with Doug, you've vm world. What's the most exciting moments? What are moments that you can say? Hey, that was an amazing time. That was a grind, but we got through it. Funny moments. Your thoughts. >> Boy, that's a tough question. I've enjoyed working with you, John and the Cube. There's been somebody really interesting things for me. The sum of the big acquisitions that we went through a V Um, where? Where? I think the NSX exposition. When we get a syrah, I think that really pushed us an interesting spots. But we have gone through, uh, I pose an acquisition ourself by the emcee begun Theo. It's a pretty vicious competition from Be Citrix Airs in or Microsoft. Yeah, that's just the joy of being a These companies is lots of ups and downs along the way that they almost kind of fit together to make an exciting life. >> What was some moments for you? I know you had left was the 2015 or 26 boys with your last day of >> the world. You go now, you know about six years. >> What do you miss about the end? Where >> the team is what everyone kind of cliche says. But it's totally true. The chance to kind of work with all those people at the executive staff all the way down to like these awesome engineers with Koi is so I definitely missed that Miss Shipping products. You don't get to do that as much directly as a venture capitalist. But on the flip side, this is a great world to be, and I get to see enthusiastic. You're very optimistic founders all day long, pushing the envelope. And while that was existing at the end where, uh, it's it's what I see every single day here. >> You've been on The Cube 10 times at the M World. That's the all time spot you're tied for. First congratulates on the leaderboard. It's been a great 10 years. Going forward. We've seen are so good. Looking back, I would say that you know Palmer, it's taking over from Diane Greene. Really set the table. He actually laid out. Essentially, what I think now is a clearly a cloud SAS architecture. I think he got that pretty much right again. Or maybe early in certain spots of what he proposed at that time. There's some things that didn't materialize is fast, but ultimately from core perspective. You guys got that right, Um, and then went in Try to do the cloud. But then and this year it comes in for suffered to find, you know, line with Amazon. And since that time, the stock has been really kind of it on the right. So, you know, some key moments there for Of'em. Where from Self >> Somali. More stuff. It's fun to see Pivotal now possibly coming back into after after getting started there. But I think you know, there's there's a hugely talented team of execs there. Pat L Singers come >> in and done a great job. I think, Greg, >> you and all these folks that Aaron, >> there are good thinkers. And so I >> think you'll consider just continue to see it evolved. Quite event and probably some cool announcements next week. >> Talk aboutthe roll Ragu and the team play because he doesn't really get a lot of the spotlight. He avoids it. I know he did talk to him privately that he won't come on the Q. I don't know what the other guys go on other guys in jail, so he's been instrumental. He was really critical in multiple deals. Could you share some insight into his role at bm bm were and why it's been so important. >> I'll push him to get on, especially now that you have remote. You can probably grab him now. He and Rajiv and Rayo Funeral Just all the guys air. I think he and Reggie basically split up half and half of the products. But Roger is very, very seminal in the whole cloud strategy that has clearly been working Well, he's a good friend in a very smart guy. >> Well, I want you to give me a personal word that you're gonna get me in a headlock and tell him to come on the Cube this year. We want him on. He's a great, great great guest. He's certainly knowledgeable going forward. Steve, 10 years out, we still got 10 more years of great change coming. If you look at the wee that's coming, you're out investing in companies again. You had one big exit today with the $1,000,000,000 acquisition that was happen by Splunk and signal effects. Ah, lot more action. You've been investing in security. What's your outlook? As you look at the next 10 years is a lot more action to happen. We seem to be early days in this new modern era. Historic time in the computer industry as applications without dictating infrastructure capabilities is still a lot more to do. What do you excited about? >> There's a million things I get to see every day, which are clearly where the world is headed. But I think at the end of the day there's there's infrastructure, which the job in life of infrastructure is to run applications. And so then you look at applications. How are they changing and what is the underlying fabric gonna need to do to support them? And if you look at the future of applications, it's clearly some amazing things around artificial intelligence and machine learning to actually make them smarter. It's all different factors form factors that they're running on and being displayed on. I think we clearly have a world where with the next generation of networking, you could do even more at the edge and communicate in a very different way with the back end. I kind of look at all these application patterns and really trying to think about what is the change to the underlying clouds and fabrics and compute that's gonna be needed to run them. I think we have plenty of head room of interesting ideas ahead. >> Stew, Dave and I were talks to Dave. Stupid Valenti student and I were talking about, you know, as infrastructure and cloud get automate as automation comes in, new waves are gonna be formed from it. What new waves do you see? Is it like R P ay, ay, ay, ay. Because as those things get sucked in and the ships and two new waves What? Oh, that's some of the key ways people should pay attention to. I'm not saying the industries is going away, but as it becomes automated, and as the shift happens, the value still is there. Where is those new waves? >> Well, then, today it looks like most applications they're gonna be composed of a lot of service is, um and I think they're gonna be able. They're going to need to be displaying on everything from big screens to small screens to purely as a headless 80. I front ends, and so again, I think at the end of the day, this this infrastructure is gonna have to have a lot of computation capability after crunch do tons of data but also have to stitch together these connections between components and provide really good experiences and predictability in the network and all those air very hard problems that we've been working on for a while. I think we'll keep working on them and new forms for the next 10 years at least. >> Awesome. Steve. Thanks for being a friend with us in the queue, but you're funny. Favorite moment of the Q. Can you share any observations about the cube and your experiences? Your observations over the 10 years we've come a long way, >> you go ugly, actually enjoyed it. I mean, it's a microcosm of all the other stuff going on, but I saw your first little box that you built and used for the Cube like that was that was really cool. But now the fact that I'm on my laptop, you doing this over the network and it's showing up is pretty awesome. So think you're following the same patterns of the other, have the other applications moving the cloud and having good user experiences. >> Cube native here software native Steve. Thank you so much for stating the time commenting on the acquisition. I know it's fresh on the press. Ah, lot more analysis and cut to come next week. It's certainly I'll be co hosting at Splunk dot com later in the year. So I'm looking forward to connect with a team there and again. Thanks for all your contribution into the cube community. We really appreciate one. Thank you for your time. >> Thanks. You guys are awesome. Thanks for chatting. >> Okay. Steve Herod, managing director at general counsel, Top tier VC From here in Silicon Valley and offices around the world, I'm John for breaking down the news as well as a V Emerald preview with the former CTO of'em. Were Steve hair now a big time venture capitalists. I'm John Ferrier. Thanks for watching.

>> from the Cosmopolitan Hotel in Las Vegas, Nevada. It's the Cube covering Cooper inspired 2019. Brought to You by Cooper. >> Welcome to the Cube. Lisa Martin on the ground at Koopa Inspired 19 from Las Vegas. Very excited to welcome one of Cooper's spend centers from the USO acquaintance, senior director of procurement and contract management. Hey, welcome. >> Thank you. I'm glad to be here. >> Yeah, so this is one of the things that I really appreciate it with. All of the tech conference is that we go to on the Q, which is many, Many a year is when vendors like Cooper really share their success is through the voices and the stories of their successful customers. You got called out yesterday during general session today. There's a big cardboard cutout of you behind us there. But one of the things also that I find intriguing is looking at older organizations, and USO is 77 years young. We think of older organizations challenging Thio maneuver that in this digital era and really be able to transform the business so that you could d'oh, what the mission of the U. S. It was, which is to help men and women in our U. S. Armed forces from the time that they enter to the time that they transition back to civilian life. Talked a little bit about us. So what your role is in for cumin and then we'll talk about how you're achieving these great things. >> Well, I've been with us for four years, almost four years. When I first interviewed for this position with my boss, the VP controller, I asked her if they had a secure to pay solution. She said No again when I was hired for this position, My, you know, my goal was to get the organization automated. They were processing everything by paper. All the requisitioning was being processed by paper. It would take for seven seven 10 days. It's for a requisition to be approved because it would literally be something printed out and move from desk to desk, desk on approvals and on the back end for invoicing would occur the same filling out a cover sheet. Everything was printed out, processed manually, so that was kind of my first project when I started and my position was new, procurement had been under the director of canning operation. So, um came. It was just a small piece of it. So they made a decision After he left to create my position on DSO I. Again. That was my goal initially when I started. So So it was going through an R P process, looking, looking our requirements and then selecting vendor gets the best value to the USO, which was Coop up. And Cooper is what I think we all love about. It is it's so customizable, and the USO has a lot of, ah, a lot of different requirements in our barbecue elements. From, you know, we've entertainment tours to our programs, care packages we send out to the military. Our operations are USO Center's construction projects, our development campaigns for on line and direct mail. So there are a lot of different requirements. I really work with each department and kind of setting up those requirements, and Cooper was able to do that for us. We were able to customize a lot of it, But for us, the innovation part is really thinking outside the box because >> tough to do 77 year old organization, right, especially one that has paper everywhere. You guys air now 90.4% paper. Yes, with Cooper, that's a massive Yes, it's cultural change. It's a >> huge and it took again. Another thing. When I interviewed Waas, I interviewed with the CFO as well and I said If you don't support me, I will not be successful. So they have been very supportive. My supervisor, the CFO, the entire organization CEO. It's been extreme. He loves Cooper, so loves the app in improving a breathing invoices requisitions. So it was really that that communication, the socialization training because it was a huge cultural shift and some were embraced it. It was a little tougher for others moving. But eventually you move in line because that is, you know, that's the new process for us as an organization. So it's it's become very successful. We're moving towards new modules contracts, Clm expends sourcing. So we're really expanding the group A picture at us. Oh, >> so what would you say before you came on board when there was so much paper floating around everywhere? You can imagine the security risk of all these, you know, personal information or what have you lying around on someone's desk? What waas The percent, if you could guess visibility into where the U. S. I was spending money prior to bringing on Cooper versus what is it today? >> Uh, extremely small percentage would have been a very small. I mean, we just had a you know, we operate on our European system. Is Great Plains pretty clunky? Not, You know, it's It's hard to see the visibility. Now. It's 100% visibility. We see all of all of the requisitioning occurring overseas. You know, we have centers all over the world, and they all have access to Cooper now because they have to submit requisitions through Cooper. And so we now have 100% visibility. And for our reporting, you know, able to pull all that information and we've got controls in place gave us the ability to put some controls in place and our approval work flows and making sure that contracts were reviewed before budgets air approved, etcetera. A lot of those things were able to set those controls in place in >> that control. Word that you bring up is spot on. We've been talking about that for the last couple of days, and it's the same when we were talking with Suzie Orman earlier, who was one of the key nodes. And when she talks about personal finance, it's sort of the same thing. We all as individuals, whether we're consumers, you know, in our personal lives, buying whenever we want from anything dot com to being buyers or managers of even lines of business. Within whatever company we work for. We need to have that picture that control and control is really that kind of accountability and that awareness. Are we managing everything appropriately? Are there other parts of the business that are doing the same thing that there may be getting the same service is at a better price, and we're we should know that right, but without having that visibility will be able to control of this process is it's an inhibitor to any business being able to transform digitally and be competitive and right to really get back to your core >> mission. Exactly. And that's what's helping you know us with the control way are a 501 c three. So we need tohave that visibility on dhe. Make sure that our donor dollars are being spent wisely, and this enabled enables us to do that enables toe have that that total visibility and making sure those controls are in place. >> Actually, speaking of donor dollars, has this actually been a facilitator of actually being able to increase donations? Because the donors now have this much easier transaction process that can imagine that would be a positive impact there. >> Well, I mean that this is more for our procurements. Mean, Coop is kind of more for our actual procurement. What it does do is it does create process savings and avoidance savings, which we can reinvest in, you know, in our program. Right. So that's where we're seeing it. That's where Steve always seeing it. We've communicated that to him, and then we're also able to provide arse CFO with reporting tools. So we create. We pull all this information from Cooper through reports, and there were able to create a spreadsheet, and he can see how we spend is an organization. You know how we spend in commodities, How where are unbudgeted, you know, kind of get a total of much I budgeted we have for for a specific period of time. So we're able to see all this kind of information. He conceal this in kind of information on one spreadsheet that we created through all the reports that way >> in Crete. >> So I want to get your perspectives on the changing role of the chief procurement officer and the chief financial officer. You know, now they have the opportunity to leverage technology, emerging technologies like artificial intelligence and machine learning to be able to get that visibility and that control, but also be former strategic and really drive top line bought online for their business. Your perspective on this the last few years alone and how were you able to help a 77 year old organization like us so embraced the opportunities that these emerging technologies can deliver? >> Well, I think one key is as because our our organization is all over the world. And then there are centers that could be, you know, roll. And they, you know, they it's the whole vendor presence and the amount of vendors that we as an organization, do bring on. And some of them it's totally understandable where some of them they do need to bring on based on, you know, their availability. But what I'm trying to do, what Cooper has helped me try to do with Cooper advantages to try to leverage our volume organizational volume that was not occurring previously. I think people were just, you know, when the new defender they brought it on because we have a lot of events, you know, supplies for the centers, et cetera. So really trying to, strategically, as an organization to be able to work with the region's on where can we find synergies to kind of consolidating leverage our values for Henderson with Cooper work, we've been able to do that. We can see the span where it's occurring, kind of all the duplications that are occurring. So that's where I'm seeing a bit opportunity and trying to work. >> One of the coolest things about what you guys are doing in procurement with Cooper is this is affecting human lives. Give us a little bit of an overview of what you guys were able to facilitate with Hurricane hearty. Wish struck Houston just about two years ago. I loved that story that >> those kind of those spur of the moment emergency type requisitions that we get and were able to those get processed a lot quicker when when we have group as opposed to previously the way they had processed. It was very labor intensive manually, verbally instead of being able to see it in. You know what's great about the requisitioning piece of it is the comments kind of audit that people can see in all the conversations. So those types of requests that are considered emergencies, they can go a lot sooner on so we can get those service's or the goods out to to that particular project. So that's what we're able to do with that. That particular one is well, being able to support the National Guard and during the Hurricane Harvey >> and accelerate things that really based on the data that you can see, I really need to have acceleration on all the action. >> I mean distant just to our programs team. They support the care packages that we send to the military. Now that we have coop in place, we use 1/3 party fulfillment center. When they receive the product, the receipts are automatically fed into Cooper and applied against the purchase orders, and then they're approved a lot quicker, So then they can receive kicked, tip the product and ship it out overseas because we get. These are based on requests. The military bases have requested to have this particular product being sent over. So this turns the process is cut in half to get the care packages out to the millet. >> That's awesome. Getting care packages to the troops 50% Bastard is outstanding. Last question for you, Rick. Some of the things that Cooper has announced in the last day and 1/2 what excites you about the direction that this company is going in >> for me? The constant changing, I mean, and I was not in the military, so I'm way moved around a lot. I was when I was growing up. I adopt to change a very quickly, but understands some people don't write quickly, but it's bettering themselves, finding the operative, listening to the customer and really making those enhancements based on customer feedback. And I think it helps with the community intelligence that we talk with, you know, with the communities and find out. What are you doing? How how are you doing this? Because a lot of companies will say, Well, I have specific requirements and a lot of them are pretty similar. If people talk, you know, community talks. So that's kind of that's I like getting together and again meeting other, you know, people, customers. And so it's Yeah, it's pretty exciting. >> I like what? How tender this morning, you know, showed the word community and said, Really, it's communication and unity, and you just articulated that beautifully. Listen to the customers. Get the synergies from them. That's why we should. Any software business should be developing right soccer. So thank you so much for joining me on the Cube today, sharing the big impact that you guys are making at the USO charity. Near and dear to my heart. We appreciate your time. >> Thank you very much >> for your acquaintance. I'm Lisa Martin. You're watching the Cube from Cooper inspired 19. Thanks for watching.

>> Live from San Diego, California It's the queue covering Sisqo Live US 2019 Tio by Cisco and its ecosystem. Barker's >> Welcome Back. The Cuba's Live at Cisco Live, San Diego, California That's your sunny San Diego. I'm Lisa Martin and my co hostess day Volante. Dave and I are gonna be talking about Baraki with Tony Carmichael, product manager A P I and developer platforms from San Francisco Muraki Tony, welcome. >> Yeah, Thank you. I'm super happy to be here. >> So you were in this really cool Muraki T shirt. I got that work and get one of those. >> We can get one >> for you for sure. Right. This is Muraki. Take over. Our here in the definite zone. This definite zone has been jam packed yesterday. All day Today, people are excited talking a little bit about what Muraki is. And let's talk about what the takeover isn't. What people are having the chance to learn right now. >> Sure. Yes. Oma Rocky, founded in two thousand six. I can't believe it's been over 10 years now. Way really started with the mission of simplifying technology, simplifying it, making it easy to manage and doing so through a cloud managed network. So that's really what Muraki was founded. And then, in 2012 Iraqi was acquired by Cisco. So we continue to grow, you know, triple digit, double digit growth every single year on, we've expanded the portfolio. Now we've got wireless way. Actually, just announced WiFi six capabilities. We got switching. We've got security appliances, we've got video cameras and then on top of all of that, we've got a platform to manage it so you can go in. And if you're in it, it's all about. Is it connected? Is it online? And if there's a problem solving it quickly, right And so that's why we're really here, a deb net and doing the take over because we're seeing this transition in the industry where you know, really is more about being able to just get the job done and work smart, not hard on. And a lot of times AP eyes and having a really simple a platform to do that is paramount, right? So that's what we're talking about here and the takeover. Just answer. The other question is on our here, where we just basically everything is Muraki, right? So we're doing training sessions were doing labs reading education and some fun, too. So reading social media and we've got beers. If you want to come up and have a beer with us as well, >> all right, hit the definite is on for that. >> So how does how does WiFi six effect, for example, what you guys are doing it. Muraki. >> Yeah, so that's a That's a really great question. So WiFi six means, you know, faster and more reliable, right? That is fundamentally what it's all about now. WiFi over the years has very quickly transitioned from, like, nice tohave. Teo, You know, you and I check into our hotel, and within seconds we want to be online talking to our family, right? So it's no longer best efforts must have, whether it's in a hospital, hotel or in office environment. WiFi six ads. You know a lot of new features and functionality, and this is true from Rocky for Cisco at large, and it's all about speed and reliability right now on the developer side. And this is a lot of what we're talking about here. A definite it also opens up completely new potential opportunities for developers. So if you think about, You know, when you go to a concert, for example, and you see a crowd of 30,000 people and they're doing things like lighting up lanyards the plumbing, right? The stuff making that tic is you know, it has to work at scale with 30,000 people or more, and that's all being delivered through WiFi technology. So it opens up not just the potential for us, maybe as as concertgoers, but for the developer being able to do really, really cool things for tech in real time. >> So you talked about a simplification, was kind of a mission of the company when it started, and it had some serious chops behind it. I think Sequoia Google was involved as well, right? So, anyway, were you able to our how have you affected complexity of security ableto Dr Simplification into that part of the stack? >> So that's a fantastic question. If you think about you know, this shift towards a cloud connected world not just for Muraki, but for for all devices, right, consumer ipads, iPhones and writhe thing that opens up from a security standpoint is that you have the ability from a zero day right, so you had a zero day vulnerability. You know, it gets reported to the vendor within seconds or minutes. You could roll out, uh, patch to that. Right, That is that is a very new kind of thing, right? And with Muraki, we've had a variety of vulnerabilities. We also work with the Talis T Mat Sisko who are, you know, they've got over 10 or 50 researchers worldwide that are finding these vulnerabilities proactively and again within, you know, certainly within a 24 hour period, because we've got that connectivity toe every single device around the globe. Customers now Khun rely on depend on us to get that patch out sometimes while they sleep right, which is really like it sounds nice. And it sounds great from a marketing standpoint, but it's really all right. We have retailers that, you know, they're running their business on this technology. They have to remain compliant. And any vulnerability like that, you've got to get it fixed right before it becomes a newsworthy, for example. >> So as networks have dramatically transformed changed as a cisco and the last you know, you can't name the number of years time we look at the demands of the network, the amount of data they mount. A video data being projected, you know, like 80% plus of data in 80 2022 is going to be video data. So in that construct of customers in any industry need to be able to get data from point A to point B across. You know, the proliferation of coyote devices edge core. How can Muraki be a facilitator of that network automation that's critical for businesses to do in order to be competitive? >> Yeah, so it's a fantastic question. I think it's something that's at the heart of what every I T operation is thinking about, right? You hear about, you know, digitization. What does that mean? It means supporting the business and whatever things, whatever they're trying to do. And a lot of times nowadays, it is video. It's being able to connect in real time with a team that's maybe working across the globe now to get right to your question. There's two things that that Muraki is delivering on that really enables it teams right to deliver on that promise or that really it's more an expectation, right? The first you know, we've got a serious of technologies, including rst one product. That a lot for you to really get the most efficient, effective use out of your win connectivity, right? So being able to bring in broadband, bringing whatever circuits you can get ahold of and then do you know application delivery that is just reliable in dependable Catskill? Thie. Other aspect to this is giving data and insights to the teams that are responsible, reliable for that delivery. And this is where ap isa Really, Really. You know, it's really at the heart of all of this because if you're operating more than, say, 50 sites, right, there's lots of beautiful ways that we can visualize this right, and we can, you know, add reports that give you top 10. But the thing is, depending on your business, depending on your industry, different things they're gonna matter. So this is where Iraqi is investing in an open platform and making it super easy to run system wide reports and queries on you know which sites were slow, which sites were fast, prioritizing the ones that really needs some love right? And giving data back to the teams that have those Big Harry questions that need to get answered. Whether it's you know, you're C suite that saying Are we out of the way or just a really proactive team? That's just trying to make sure that the employees experiences good. >> What about some of the cool tools you guys are doing? Like talking about them Iraqi camera? >> Oh, yeah. I mean, so the other thing I was thinking of when you asked about this was, you know, video as a delivery medium. Of course it's necessary when you're doing, you know, video conference saying and things like that. But when we look at, say, the Muraki M V, which is really our latest product innovation, it's really us kind of taking the architecture of, ah, typical videos, surveillance system and flipping on its head, making it really easy to deploy Really simple, no matter where in the world you are to connect and see that video footage right? The other thing we're learning, though, is that why do people watch video surveillance? Either You're responding to an incident, right? So someone tripped and fell. There was an incident. Someone stole someone or someone sold something, or you're just trying to understand behavioral patterns. So when it comes to video, it's not always about the raw footage. It's really about extracting what we often call like metadata, right? So them rocky envy Some of the really cool innovations happening on that product right now are giving customers the end state visualization. Whether that's show me all the people in real time in the in the frame, give me a count of how many people visited this frame in the last hour. Right? So imagine we have cameras all over. We want to know what those what those trends and peaks and valleys look like rate. That's actually what we're after. No one wants to sit there looking at a screen counting people s. So this is where we're starting to see this total shift in how video can be analyzed and used for business purposes >> are able to detect anomalies. You're basically using analytics. Okay. Show me when something changes. >> That's right. Right. And we've seen some incredibly cool things being built with our FBI. So we've got a cinema, a really large customer, cinemas all over. And they're doing these immersive experiences where they're using the cameras. A sensor on DH. There saying, OK, when there's more than a handful of people. So we've got kind of a crowding within the communal spaces of the cinema Changed the digital sign Ege, right? Make it a really immersive experience. Now, they didn't buy the cameras for that. They bought the cameras for security, right? But why not? Also, then two birds, one stone, right? Use that investment and use it as a data sensor. Feed that in and make it completely new experience for people in the environment. >> Well, I couldn't so I can see the use case to excuse me for for, like, security a large venue. Oh, yeah. Big time >> infected. Thank you de mode along that front >> easy. And Mandy >> dio definite create where there wasa like a stalker. Yeah, where there was, like, a soccer match. And they're showing this footage and asking everyone What did you see happen? You know, a few seconds and actually what they did was using Iraqi. They were able to zero in on a fight that was breaking out, alert the then use security team and dispatch them within a very short period of time. >> Yeah, and we've seen like there's amazing there's tons of use cases. But that's a great example where you've got large crowds really dynamic environment, and you're not again. You don't want to necessarily have to have folks just looking at that feed waiting for something to happen. You want an intelligence system that can tell you when something happens? Right? So we've seen a ton of really cool use cases being built on. We're gonna continue to invest in those open AP eyes so that our customer, you know, we can move at the speed of our customers, right? Because I'm a rocky like, ultimately, our mission is like, simple i t. There's different layers of simple, Like what matters to a customer is like getting what they need to get done. Done. Um, we want way. Want to really be ableto enable them to innovate quickly. Ap eyes really are the center of that. >> Yeah, and so talk a little bit more about your relationship with definite how you fit in to that on the symbiotic. You know, nature. Yeah, Iraqi and definite. >> I would love to. So we've been working with with Suzie and the and the definite team now for really, since the start of definite, and I think it's brilliant, right? Because Sisko were, of course, like from a networking standpoint, we're always at the forefront. But what we started to see early on and I certainly wasn't the visionary here was this transition from, you know, just just like your core. Quintessential networking tio starting toe like Bring together Your network stack with the ability is also right and rapidly developed applications. So that was kind of the, you know, the precipice of Like Bringing Together and founding Dev. Net. And we've been with definite sense, which which, you know, it's been exciting. It's also really influence where our direction right? Because it's a lot for us to see what our customers trying to dio, How are they trying to do it? And how can we, from the product side, enable that three FBI's but then work with Dev Net to actually bring, you know, bring That's a life. So we've got, you know, developer evangelists working with customers. We've got solution architects, working with customers, building incredibly cool things and then putting it back out into the open source community, building that community. I mean, that is really where we've had in a maze. Amazing relationship with definite rate that that has been huge. Like we've seen our adoption and usage just absolutely shoot through the roof. We're at 45,000,000 requests per day on DH. Straight up, like could have been done without >> having that visions. Amazing. We have Susie on in a minute. But I mean, I >> Why do you think >> other sort of traditional companies, you know in the computer business haven't created something similar? I mean, seems like Cisco has figured out Debs and traditional hardware companies haven't so >> It's a really good question, like at the end of the day, it's an investment, right? Like I think a lot of companies like they tend to be quite tactical. Um, and look at okay, like maybe here we are now and here's where we're going. But it's an investment, and customers really say OK, this is the thing that they're trying accomplish, and we're not going to keep it closed and closed source and try to develop intellectual property. We're going to enable and empower on ecosystem to do that. Now I think like you're quickly starting to see this trend, right? Like certainly I wouldn't say that Muraki or Cisco are the only ones that are doing this, which is this, you know, cultivation of technology partners that are building turnkey solutions for customers. You know, cultivation of customers and enabling them to be able to build. And you create things that perhaps Cisco might not even ever think about. But But that is a shift in mentality, I think right, and I think like we're starting to see this more in the industry. But I am proud to say that like we were right on that bleeding edge and now we're able to ride that wave. Iraqis also had the luxury of being cloud native for a cloud board. It's our technology has always been, you know, at a place where if we want to deploy or create a new a p i n point that provides new data like literally, the team behind me can take that from prototype to production to test it into a customer within weeks on. And that is in many cases, what we're doing. >> It seems to me looking kind of alluding to Dave's point from a Cisco overall perspective, a company that has been doing customer partner events for 30 years. What started this networker? We now notices go live a large organization. Large organizations are not historically known for pivoting quickly or necessarily being developer friendly to this. Seems to me what definite has generated in just five short years seems to be a competitive differentiator that Cisco should be leveraging because it's it's truly developer family. >> I could not agree more. I mean the and this goes right to the core of what, uh What I think has made us so successful, Which is this, you know, this idea that at the heart of everything we do, we have to think about not just the customer experience right, which is like, What does it look like toe by what does look like toe unbox? What does it look like to install and what his day to look like? But also, and very importantly, distinct track around thinking about developer experience, developer experience like when your first building AP eyes and things like it's easy to say. OK, this is what they need. This is what they want. But Cisco, and really definite more than anything, has gotten to the heart of way have to think about the way these AP eyes look, the way they shape of their responses, the data they contain, the ease of use, the scale at which they operate and how easy it is to actually build on that. Right? So that's where you're going to start seeing more and more of our kind of S, T K's and libraries and just a lot of like we just this week launched the automation exchange that is again right at the center of We're listening. And we're not just listening to the customers who are trying to deploy 4,000 sites in a in a month or two. Um, we're also listening to the developers and what the challenge is that they're facing, right? Um, I'd love to see more of this. I mean, we're seeing a huge amount of adoption across Cisco. Um, and I think that there's other you know, there's plenty about their tech companies, you know that are that are really, I think, just helping push this forward right. Adding momentum to it. >> Speaking of momentum in the Iraqi momentum's going that way. I >> mean, it's good. Yeah, I would agree with you. >> Well, Tony, it's been a pleasure having you on the program. Absolutely. Success. Were excited to talk to Susie next. And it's like this unlimited possibilities zone here. Thank you so much for your time. >> Absolutely thanks so much Happy to be here. >> Alright for David Dante, I am Lisa Martin. You're watching the Cube live from Cisco Live San Diego. Thanks for watching.

>> live from Mountain View, California It's the queue covering definite create twenty nineteen. Brought to you by Cisco. >> Hi. Lisa Martin for the Cube, Live at Cisco Definite. Create twenty nineteen. This is Day two of our coverage here. We're excited to welcome Taylor Barnett, a speaker tech talk speaker for this event. Lead community engineer at Stoplight Taylor. It's great to have you on the Cube. I'm glad to be here. So first, inform us before we talk about your tech talk that you can yesterday here, adept that create tell us a little bit about Stop like, >> yeah, So stoplight is a platform. Teo, build test and design web ap eyes specifically, we focus right now on recipe eyes, but we're really encouraging design first principles when people are building out there a prize for very much preproduction And what we have found was so many guys out there are not documented. They're not tested, they're not designed well And so we wanted to build tooling the help users be able to do that. >> So that documentation we've heard yeah, yesterday and today is absolutely >> essential. Yeah, And so a lot of what we're doing is we're actually using the Open A P I specifications, which a lot of teams at Cisco are now using. And so we can auto generate documentation from that. But also, we can auto generate instant mock >> servers. >> Um, do different types of testing all from that, because it's both human and machine readable. You're taking advantage of that. >> So you gave a tech talk yesterday, so I like the title going to Infinity and beyond Documentation with open FBI. Tell us our audience, like basically kind of an overview of what you presented in the three takeaways that your audience left with. >> Yeah, so historically open a P I specification has been known to be an auto generating reference documentation. So what people are like, Yeah, I know it for documentation, but they don't know it for all the other things. So the things that helped them do design first principles, the things that helped them mock and get feedback about their AP eyes and also how to test. And so I say, the three takeaways, that's what I focus on, was, how does this design first really benefit us? And why is it worth spending that time? Because a lot of engineers. It kind of feels like a friction point. Like you're making me do something else before I can start coding on DSO helping them see those benefits and then also being ableto use the feedback through They get through mach ap eyes so that they don't have tio code all the p I and then get the feedback. They could do it before that process. So much, master. Yeah, totally. And just better testing to actually make sure that we once we designed the A that we actually implementing it to what the design says. Uh, >> so I'm not design front. You mentioned design first telling you before we met. Lied that we've heard that. Yeah, I did what I had yesterday and today. This's design first approach and it sounds like from what you're saying for developers, it's not necessarily the first thing they want to do. They want to get their hands on start coding. So yeah, tell may tell us what design first means and actually how it can really make the developers job better. >> Yeah, Yes. Oh, Design First is really just being able to take a step back before that code and like describe what the is on a lower like endpoint level for us that's doing it in a visual editor at Stoplight. We actually have a visual editor to help people do that so that it's not like writing things from scratch. So even then, that makes it faster than having to write on a blank document that nobody wants to like right in. And it might be a mess. And decisions are hard to make around that document because it's a mess and all this stuff and then being able to take that and then start doing the mocking and all the other things. So for developers, it's a lot about getting to see what those other benefits are to convince them that it's worth it. And that's going to save some time overall versus like having toe wait. One great example of that is actually with being ableto Ma K P IIs friend and engineers could go ahead and start implementing the guy before the development process of actually implement thing is even done so that traditional, like waterfall development process. You just cut that out because they can start doing in a parallel on DH so it can really make teams a lot more efficient. >> Did you Were you happy with the reaction yesterday? This is a This is the definite communities. God. Five hundred eighty five thousand plus people. There's been about four hundred here in person. What was the reaction? Especially from developers who may have been around a while and are very used to the waterfall upload where they like. Taylor. This is amazing. Or girl, this is like a whole cultural change. Yeah, you know, I mean, we we work well, >> actually, a lot of enterprise companies that stoplight. And it is it is a little bit of a cultural change. You talk, there's this whole bigger idea of, like, a P I transformation. Even just moving to having a pee ice first is a bigger change. And then, you know, then the design part. But I have found that once, if you're introducing somebody to a prize first, it's easy to sneak in design. So then you don't have to Then teach Oh, let's design the first and do decide. It's all part of the same package s o. A lot of enterprises what They're like transformations to moving toe, like in a very FBI focused infrastructures. They then are just more receptacle to design >> first. That's good. Especially if you're able to show them that the obvious benefits. Yeah, there getting things done faster like this is actually taking this new approach. Is that going to be better for you? And do you find that that developers are adjusting quickly to this new? Yeah. I mean, there's definitely >> pain points. The tooling is still catching up. Uh, so the industry is for recipe eyes has kind of centered around open FBI specifications. But there were others before that Ramel for a specifically and I'd use it for anybody. Also open a p. I used to be called swagger specification. Some people might know it by that, but a lot of it is like, Yeah, the tooling is still maturing, but it's in a lot better place than it used to be. So when I was a back end FBI engineer about four five years ago, I was introduced through a P I blueprint, which is another justification, and it was very painful tohave to document in a p I with it. And now it's just gotten so much better with the tooling mature >> you can see massive differences alone just by asking. >> Totally. Yeah, just like the last four years, actually. >> So this is your first definite create and your speaker at your very first one. That's pretty cool, Taylor. Yeah? Yeah. How long have you been involved in the definite community? And how is it impacted what you do for stuff like, >> Yeah. So I was kind of introduced through it. I knew people that worked on definite and like Mandy. And And so then I kind of got introduced that that, you know, it's been really interesting to see how they built up this community of people sharing code. And it's different then, like, get hub type community. And so it's kind of interesting. It was just like it's ah, you know, you don't see a lot of communities that are run by companies that necessarily >> there they're >> not in the code repository business, but they see the value in people sharing things and collaborating and stuff like that. And so it's kind of different of a community, but also very interesting tow. Have watching grab >> the sharing in the collaboration you walk in yesterday. People are eager to do that Yeah, and other types of conferences that we covered the Cube, especially if there's cooperative Shin Partners there. It's a different vibe has been very, very much one that's been refreshing on and to your point. The difference between what Cisco's built here in the lost, very organically bio away in the last five years with Suzie and Mandy have done that opened nous and that excitability to share things and learn from each other, even though there's got to be developers here from competing companies. Yeah, that's a very cool spirit. Yeah, and something that I think they've done a very good job fostering that they also I kind of wonder if it's chicken and egg. How much has definite. And this, you know, over half a million strong community been sort of forcing function or an accelerator of Cisco's evolution? If you look at Cisco's been around for such a long time, not on a P I first company Yeah, big enterprise. This is a big all of their products and with GPS ***, been really >> awesome to see all the talks that are focused on Cisco's a prize being designed first like I don't see a lot of enterprises that feel like they've really taken it toe heart as much. I've talked to some people and they say, Yeah, I mean, you know, there's been some pain points, but I'm like, Yeah, but there's companies that are envious of the Y .'All done this. Yes, and they've really, like, probably improved the developer experience that they're a piece so much because of having that design first >> approach. So one other thing that I think it's very cool about definite and create is that yesterday morning it was kicked off by two really strong technologists. You don't mention we had Mandy really on yesterday is a senior director of developer experience. Right after you. I've got Susie Leon, the SPP in CTO, and I go to a lot of events. The Cube covers a lot of events every year, and it's very important to us to be able to highlight women and technology because it's still an unresolved, you know, gap there. But it's also really unusual to see an event kicked off both days. No females. You've been a stem since you were a kid. How does that impact you? Do you see that is inspiring. You that is. I wish it wasn't an issue. >> Yeah, no. Yeah. I wish it was an issue, but no, but it's really awesome. So, like, when I was trying to decide if I accept my when they asked me to come speak, I totally looked at that. That was something when I saw their faces on them that they were going to be key notes and stuff, you know, it gave me already, like, a whole different feeling of how the conference >> was going to be >> so it was really exciting to see that. Yeah, >> that's good. And when I first got into tech a long time ago, I was just not aware of what was not monitor in a technical role. But I didn't notice. I mean, they noticed the difference and the disparity, but I didn't feel it. Yeah, And so it wasn't until I started going to more and more events where I sell >> theirs. So, yeah, sometimes you're at events where it's just the sea of people that don't look like you. And it's a lot different here. >> Yeah, until I imagine I appreciated it this morning. I'm sure. Well, when Susie called onto stage the young girls from Verizon and those from Presidio that are Cisco's clearly making a concerted effort to recognize and help this diversity in thought. I mean, imagine designing AP eyes with, you know, many different perspective is better products and services and company, and will be we just have more thought divers in and of itself. >> Oh, yeah, I think about it a lot with developer experience. So one of the things is there's this idea of beginner's mind failure that sometimes if if you think you're a p, I is like, great. But you don't approach it with the beginner's mind, you might actually be failing a lot of your users. So, you know, your, uh, your veteran developer, you're, you know, super skilled and you you don't fail in the somewhere areas that someone who's newer to development might fail. And so then you just lost a bunch of customers and right up front without even them getting deeper into the FBI. And so being ableto have, like more diverse perspectives around, designing a prize could definitely help prevent that. That's a >> really important point so that you make there because it's like if this is really everything that's designed these days. Whatever it is a on iPad. But sticker a piece of clothing. It's all designed for a consumer. Yeah, to consume whatever the product of services. And, you know, in technology, so much conversation goes around delivering an outstanding customer experience. And you're saying, you know, we have to think about that. Probably worked design, thinking, coming play right about designing with that sort of a day bers perspective of approach. That paper you gonna lose customers here were >> actually gets to the bottom line. Yeah, versus just being like a nice benefit kinds. >> Yeah, well, Taylor has been so fun having you on the Cube. Thank you so much. Now you have a flight to catch back in Austin. So thank you so much for doing this afternoon and rats on being a speaker at first. And it will seem Thanks for having me. My pleasure. I'm Lisa Martin. You're watching to keep live from Cisco. Definite. Create twenty nineteen. Thanks for watching

>> From the SiliconANGLE media office, in Boston, Massachusetts, it's the CUBE. Now, here's your host, Stu Miniman. Hi, CUBE nation, I'm Sam Kahane. Thanks for watching the CUBE. Due to popular demand from the community, I will be interviewing the legendary Stu Miniman, here today. He is S-T-U on Twitter. Stu and I are going to be digging in to the 2019 predictions, and also recapping 2018 for you here. So, Stu, let's get into it a little bit. 2018, can you set the stage? How many events did you go to? How many interviews did you conduct? >> Boy, Sam, it's tough to look back. We did so much with the CUBE this year. I, personally, did over 20 shows, and somewhere between 400 and 450 interviews, out of, we as a team did over a 100 shows, over 2000 interviews. So, really great to be in the community, and immerse ourselves, drink from the fire hose, and some of the data. (laughs) >> So, over 400 interviews this year, that's amazing. What about some of the key learnings from 2018? Yeah, Sam,my premise when I'm going out is, how are we maturing? My background, as you know, Sam, I'm an infrastructure guy. My early training was in networking. I worked on virtualization, and I've been riding this wave of cloud for about the last 10 years. So, about two years ago, it was, software companies, how are they living in these public clouds? Amazon, of course, the dominant player in the marketplace, but we know it will be a multi-cloud world. And the update, for 2018, is we've gone from, how do I live in those public clouds, to how are we maturing? We call it hybrid clouds, or multi-cloud, but living between these worlds. We saw the rise in Kubernetes, as a piece of it, but customers have lots of environments, and how they get their arms around that, is a serious challenge out there, today. So, how are the suppliers and communities, and the systems integration, helping customers with this really challenging new environment, that we have today. >> I'd love to hear any OMG moments from you. What surprised you the most this year? >> It's interesting, when I wanna think about some of the big moves in the industry, I mean, we had the largest software acquisition in tech history. IBM, the company you used to work for, Sam, buying Red Hat, a company I've worked with, for about 20 years, for 34 billion dollars. I mean, Red Hat has been the poster child for open source, and the exemplar of that. It was something that was like, wow, this is a big deal. We've been talking for a long time, how important developers are, and how important open source is, and there's nothing like seeing Big Blue, a 107-year-old company, putting in huge dollars, to really, not just validate, cause IBM's been working in open source, working with Linux for a long time, but how important this is to the future. And that sits right at that core of that multi-cloud world. Red Hat wants to position itself to live in a lot of those environments, not just for Linux, but the Middleware, Kubernetes is a big play. We saw a number of acquisitions in the space there. Red Hat bought CoreOS for $250 million. VMware bought Heptio, and was kind of surprised, at the sticker shock, $550 million. Great team, we know the Heptio team well. We talked to them, some of the core people, back when they were at Google. But, some big dollars are being thrown around, in this space, and, as you said, the big one in the world is Amazon. One of the stories that everybody tracked all year was the whole hq2 thing. It kind of struck me as funny, as Amazon is in Seattle. I actually got to visit Seattle, for the first time, this year, and somebody told me, if you look at the top 50 companies that have employees in Seattle, of course, Amazon is number one, but you need to take number two through 43, and add them together, to make them as big as Amazon. Here in Boston, there's a new facility going up, with 5,000 employees. I know they're going to have 25,000 in Long Island City, right in the Queens, in New York City, as well as Crystal City, right outside of DC, 25,000. But, the realization is that, of course, Amazon's going to have data centers, in pretty much every country, and they're going to have employees all around the world. This doesn't just stay to the US, but Amazon, overall. So, Amazon, just a massive employer. I know so many people who have joined them. (laughs) Some that have left them. But, almost everything that I talk about, tends to come back to Amazon, and what there are doing, or how people are trying to compete, or live in that ecosystem. >> You're always talking to the community. What are some of the hottest topics you're hearing out there? >> So, living in this new world, how are we dealing with developers? A story that I really liked, my networking background, the Cisco DevNet team, led by Suzie Wee, is a really phenomenal example, and one of my favorite interviews of the year. I actually got to talk to Suzie twice this year. We've known her for many years. She got promoted to be a Senior Vice President, which is a great validation, but what she built is a community from the ground up. It took about four years to build this platform, and it's not about, "Oh, we have some products, and developers love it.", but it's the marketplace that they live in, really do have builders there. It's the most exciting piece of what's happening at Cisco. My first show for 2019 will be back at Cisco, live in Barcelona, and Cisco going through this massive transformation, to be the dominant networking company. When they talk about their future, it is as a software company. That actually, it blew my mind, Sam. You know, Cisco is the networking company. When they say, "When you think of us, "five to ten years from now, "you won't think of us as a networking company. "You'll think of us as a software company." That's massive. They were one of the four horsemen of the internet era. And, if Cisco is making that change, everything changes. IBM, people said if they don't make this move for Red Hat, is there danger in the future? So, everything is changing so fast, it is one of the things that everybody tries to sort out and deal with. I've got some thoughts on that, which I'm sure we'll get to later on. >> (laughs) As is Suzie Wee one of your top interviews of 2018, could you give your top three interviews? >> First of all, my favorite, Sam, is always when I get to talk to the practitioners. A few of the practitioners I love talking to, at the Nutanix show in New Orleans this year, I talked to Vijay Luthra, with Northern Trust. My co-host of the show was Keith Townsend. Keith, Chicago guy, said, "Northern Trust is one "of the most conservative financial companies", and they are all-in on containerization, modernized their application. It is great to see a financial company that is driving that kind of change. That's kind of a theme I think you'll see, Sam. Another, one, was actually funny enough, Another Nutanix show, at London, had the Manchester City Council. So, the government, what they're doing, how they're driving change, what they're doing with their digital transformation, how they're thinking of IOT. Some of my favorite interviews I've done the last few years, have been in the government, because you don't think of government as innovating, but, they're usually resource-constrained. They have a lot of constituencies, and therefore, they need to do this. The Amazon public sector show was super-impressive. Everything from, I interviewed a person from the White House Historical Society. They brought on Jackie O's original guidebook, of being able to tour the White House. So, some really cool human interest, but it's all a digital platform on Amazon. What Amazon is doing in all of the industry-specific areas, is really impressive. Some of these smaller shows that we've done, are super-impressive. Another small show, that really impressed me, is UiPath, robotic process automation, or RPA, been called the gateway drug to AI, really phenomenal. I've got some background in operations, and one of the users on the program was talking about how you could get that process to somewhere around 97 to 98% compliance, and standardize, but when they put in RPA, they get it to a full six sigma, which is like 99.999%, and usually, that's something that just humans can't do. They can't just take the variation out of a process, with people involved. And, this has been the promise of automation, and it's a theme. One of my favorite questions, this year, has been, we've been talking about things like automation, and intelligence in systems, for decades, but, now, with the advent of AI machine learning, we can argue whether these things are actually artificial intelligence, in what they are learning, but the programming and learning models, that can be set up and trained, and what they can do on their own, are super-impressive, and really poised to take the industry to the next level. >> So, I wanna fast forward to 2019, but before we do so, anything else that people need to know about 2018? >> 2018, Sam, it's this hybrid multi-cloud world. The relationship that I think we spend the most time talking about, is we talked a lot about Amazon, but, VMware. VMware now has over 600,000 customers, and that partnership with VMware is really interesting. The warning, of course, is that Amazon is learning a lot from Vmware, When we joke with my friends, we say, "Okay, you've learned a lot from them means that "maybe I don't need them in the long term." But in the short term, great move for VMware, where they've solidified their position with customers. Customers feel happy as to where they live, in that multi-cloud environment, and I guess we throw out these terms like hybrid, and multi, and things like that, but when I talk to users, they're just figuring out their digital transformation. They're worried about their business. Yes, they're doing cloud, so sassify what you can, put in the public cloud what makes sense, and modernize. Beware of lift and shift, it's really not the answer. It could be a piece of the overall puzzle, to be able to modernize and pull things apart. An area, I always try to keep ahead of what the next bleeding-edge thing is, Sam. A thing I've been looking at, deeply, the last two years, has been serverless. Serverless is phenomenal. It could just disrupt everything we're talking about, and, Amazon, of course, has the lead there. So, it was kind of an undercurrent discussion at the KubeCon Show, that we were just at. Final thing, things are changing all the time, Sam, and it is impossible for anybody to keep up on all of it. I get the chance to talk to some of the most brilliant people, at some of the most amazing companies, and even those, you know, the PhD's, the people inventing stuff, they're like, "I can't keep up with what's going on at my company, "let alone what's going on in the industry." So, that's the wrong thing. Of course, one of the things we helped to do, is to extract the signal from the noise, help people distill that. We put it into video, we put it into articles, we put it into podcasts, to help you understand some of the basics, and where you might wanna go to learn more. So, we're all swimming in this. You know, the only constant, Sam, in the industry is change. >> Absolutely. (laughing in unison) >> So, things are changing. The whole landscape, as you said, is changing. Going into 2019, what should people expect? Any predictions from you? Any big mergers and acquisitions you might see? >> It's amazing, Sam. The analogy I always use is, when you have the hundred year flood, you always say, "Oh gosh, we got through it, "and we should be okay." No, no, no, the concern is, if you have the hundred year flood, or the big earthquake, the chances are that you're going to have maybe something of the same magnitude, might even be more or less, but rather soon. A couple of years ago, Dell bought EMC, largest acquisition in tech history. We spent a lot of time analyzing it. By the way, Dell's gonna go public, December 28. Interesting move, billions of dollars. As Larry Ellison said, "Michael Dell, "he's no dummy when it comes to money.' He is going to make, personally, billions of dollars off of this transaction, and, overall, looks good for the Dell technologies family, as they're doing. So, that acquisition, the Red Hat acquisition, yeah, we're probably gonna see a 10-to-20 billion dollar acquisition this year. I'm not sure who it is. There's a lot of tech IPOs on the horizon. The data protection space is one that we've kept a close eye on. From what I hear, Zeam, who does over a billion dollars a year, not looking to go public. Rubrik, on the other hand, somewhere in the north of 200 million dollars worth of revenue, I kind of remember 200, 250 in run rate, right now, likely going to go public in 2019. Could somebody sweep in, and buy them before they go public? Absolutely. Now, I don't think Rubrik's looking to be acquired. In that space, you've got Rubrik, you've got Cohesity, you've got a whole lot of players, that it has been a little bit frothy, I guess you'd say. But, customers are looking for a change in how they're doing things, because their environments are changing. They've got lots of stuff in sass, gotta protect that data. They've got things all over the cloud, and that data issue is core. When we actually did our predictions for 2018, data was at the center of everything, when I talked about Wikibon. It was just talking to Peter Burris and David Floyer, and they said there is some hesitancy in the enterprise, like, I'm using Salesforce, I'm using Workday I'm using ServiceNow. We hear all the things about Facebook giving my data away, Google, maybe the wrong people own data, there's that concern I want to pull things back. I always bristle a little bit, when you talk about things like repatriation, and "I'm not gonna trust the cloud." Look, the public clouds are more secure, than my data centers are in general, and they're changing and updating much faster. One of the biggest things we have, in IT, is that I put something in, and making changes is tough. Change, as we said, is the only thing constant. It was something I wrote about. Red Hat, actually, is a company that has dealt with a lot of change. Anybody that sells anything with Linux, or Kubernetes, there are so many changes happening, on not only weekly, but a daily basis, that they help bring a little bit of order, and adult supervision, to what most people would say is chaos out there. That's the kind of thing we need more in the industry, is I need to be able to manage that change. A line I've used many times is, you don't go into a company and say, "Hey, what version of Azure are you running?" You're running whatever Microsoft says is the latest and greatest. You don't have to worry about Patch Tuesday, or 08. I've got that things that's gonna slow down my system for awhile. Microsoft needs to make that invisible to me. They do make that thing invisible to me. So does Amazon, so does Google. >> What's your number one company to watch, this upcoming year. Is it Amazon, Sam? Look, Amazon is the company at the center of it all. Their ecosystem is amazing. While Amazon adds more in revenue, than the number two infrastructure player does in revenue. So, look, in the cloud space, it is not only Amazon's world. There definitely is a multi-cloud world. I went to the Microsoft show for the first time, this year, and Microsoft's super-impressive. They focus on your business applications, and their customers love it. Office 365 really helped move everybody towards sass, in a big way, and it's a big service industry. Microsoft's been a phenomenal turnaround story, the last couple of years. Definitely want to dig in more with that ecosystem, in 2019 and beyond. But, Amazon, you know, we could do more shows of the CUBE, in 2019, than we did our first couple of years. They have, of course, Amazon re:Invent, our biggest show of the year, but their second year, it's about 20 shows, that they do, and we're increasing those. I've been to the New York City Summit, and the San Francisco Summit. I've already mentioned their Public Sector Summit. Really, really, really good ecosystems, phenomenal users, and I already told you how I feel about talking to users. It's great to hear what they're doing, and those customers are moving things around. Google, love doing the Google show. We'll be back there in April. Diane Greene is one of the big guests of the year, for us this year. I was sorry to miss it in person, 'cause I actually have some background. I worked with Diane. Back before EMC bought VMware. I had the pleasure of working with Vmware, when they were, like, a hundred person company. Sam, one of the things, I look back at my career, and I'm still a little bit agog. I mean, I was in my mid-20s, working in this little company, of about 100 people, signed an NDA, started working with them, and that's VMware, with 600,000 customers. I've watched their ascendancy. It's been one of the pleasures of my career. There's small ones, heck. Nutanix I've mentioned a couple of times. I started working them when they were real small. They have over a billion in revenue. New Cure, since the early days. Some companies have done really well. The cloud is really the center of gravity of what I watch. Edge computing we got into a bit. I'm surprised we got almost 20 minutes into this conversation, without mentioning it. That, the whole IOT space, and edge computing, really interesting. We did a fun show with PTC, here in Boston. Got to talk to the father of AI, the father of virtual reality. It's like all these technologies, many of which have been bouncing around for a couple of decades. How are they gonna become real? We've got a fun virtual reality place right next door. The guy running the cameras for us is a huge VR enthusiast. How much will those take the next step? And, how much are things stalling out? I worry, was having conversations. Autonomous vehicles, we're even looking at the space. Been talking about it. Will it really start to accelerate? Or have we hit road blocks, and it's gonna get delayed. Some of these are technologies, some of these are policies in place, in governments and the like, and that's still one of the things that slows down crowded options. You know, GDPR was the big discussion, leading into the beginning of 2018. Now, we barely talk about it. There's more regulations coming, in California and the like, but we do need to worry about some of those macro-economical and political things that sometimes get in the way, of some of the technology pieces. >> I'd love to put something out into the universe, here. If you could interview anyone in the world, who would it be? Let's see if we can make it happen. It's amazing to me, Sam, some of the interviews we've done. I got a one-on-one with Michael Dell this year. It was phenomenal, Michael was one. It took us about three or four years before we got Michael on the program, the first time. Now, we have him two or three times a year. Really, to get to talk to him. There is the founder culture John Furrier always talks about. Some of these founders are very different. Michael, amazing, got to speak to him a couple of times. There's something that makes him special, and there's a reason why he's a billionaire, and he's done very well for himself. So, that was one. Furrier also interviewed John Chambers, who is one of the big gets I was looking at. I was jealous that I wasn't able to get there. I got to interview one of my favorite authors this year, Walter Isaacson, at the shows. When I look at, Elon Musk, of course, as a technologist, is, I'm amazed. I read his bio, I've heard some phenomenal interviews with him. Kara Swisher did a phenomenal sit-down on her podcast with him. Even the 60 Minutes interview was decent this year. >> The Joe Rogan one was great >> Yeah, so, you'd want to be able to sit down. I wouldn't expect Elon to be a 15-minute, rapid-fire conversation, like we usually have. But, we do some longer forms, sit down. So he would be one. Andrew Jassy, we've interviewed a number of times now. Phenomenal. We've got to get Bezos on the program. Some of the big tech players out there. Look, Larry Ellison's another one that we haven't had on the program. We've had Mark Hurd on the program, We've had lots of the Oracle executives. Oracle's one that you don't count out. They still have so many customers, and have strong power in new issues, So there are some big names. I do love some of the authors, that we've had on the program, some thought leaders in the space. Every time we go to a show, it's like, I was a little disappointed I didn't get to interview Jane Goodall, when she was at a show. Things like that. So, we ask, and never know when you can get 'em. A lot of times, it's individual stories of the users, which are phenomenal, and there's just thousands of good stories. That's why we go to some small shows, and make sure we always have some editorial coverage. So that, if their customers are comfortable sharing their story, that's the foundation our research was founded on. Peers sharing with their peers. Some of the most powerful stories of change, and taking advantage of new technologies, and really transforming, not just business, but health care and finance, and government. There's so much opportunity for innovation, and drivers in the marketplace today. >> Stu, I love it. Thanks for wrapping up 2018 for us, and giving us the predictions. CUBE nation, you heard it here. We gotta get Elon Musk, Jeff Bezos, and Larry Ellison on the CUBE this year. We could use your help. Stu, thank you, and CUBE nation, thank you for watching. (electronic techno music)

>> Live from Seattle, Washington it's theCUBE covering KubeCon and CloudNativeCon, North America 2018. Brought to you by Red Hat, The CloudNative Computing Foundation, and Antico System Partners. (upbeat music) >> Hey everyone, welcome back to theCUBE. Day two live coverage here in Seattle of the CNCF KubeCon and CouldNative. I'm John Furrier, host of theCUBE with Stu Miniman here all week for three days as multiple years we've been covering KubeCon. We've been covering this community, all the way back to the OpenStack days to now CloudNative and Kubernetes, rise of Kubernetes, and KubeCon has been great. CloudNative Computing Foundation and the center of it has been an individual CUBE alumni that we've talked to many times, Lew Tucker, VP and CTO of Cloud Computing at Cisco Systems. Great to have Lew on, good to see you. >> Great to be back again. >> We got a great history of conversations and every year we kind of have a pinch me moment where it's like it's so awesome right now, the technology's coming together, now more than ever, the standardization, the maturization of Kubenetes and what's going on around it, is probably one of the most exciting trends. It's not just about Kubernetes, it's about what that's enabling, ecosystems, storage, networking and compute, now the, is working now magically creating a lot of value. So, we've talked about it, what's the update from your perspective, how do you see it evolving now? >> I see it very much the same way, I had a short little keynote today, yesterday, and was talking about I think we've entered this kind of golden age of software where because of the number of projects that are now going into the CNCF for example, and elsewhere, and get up repositories, we just have a major driving force which is the accumulation of the software that's used now to power the cloud, power data centers, totally transforming infrastructure. We're no longer cabling as I sort of say has no become code. >> Yeah. >> And that's all about the software, it's about through the open source communities. >> We've been talking about before we came on camera about the, and we've had other conversations about the historical waves of innovation. AI's been around for a while, you know all these things have kind of been around but now with cloud computing and the resources available in terms of compute power, storage, and networking now programmable, it's creating a lot of innovation right. And this has been a tailwind for some and a headwind for others, companies that have transformed and understood that have been leveraging it. We've seen conversations from Net App, Cisco, you guys are transform, you turned it into a tailwind, for Cisco, because now all that magic can come in for the programmability on the networking side. >> Exactly right, yeah. We see AI as having a big impact across the board on all of these, we're big contributors also into Cube Clove, for example, because on top of Kubernetes, the biggest issue we're going to have in AI going forward is we don't have enough AI engineers. We don't have enough people who are trained in that. So we need to create these tools and the services that we see coming out in the cloud now for AI are designed to make it easy to consume AI. You don't have to be an AI expert in order to use it and that sort of thing is really exciting. >> How is the CloudNative environment changing IT investments 'cause again, the old days I'd have to throw a machine at something, I got to buy this and siloed, you got now horizontal capabilities, you got the vertical specialization with machine learning and AI as you just referenced. How is it changing investments, people now are looking at re-imagining their infrastructure, they're re-imagining how apps are built. How is Kubernetes, CloudNative impacting IT investments? >> So we've found for example when we talk to our customers and everything else, they're all using multiple clouds. So I think internally we're getting to see a rise here now is this multi-cloud environment that we have. And so Cisco with what we've been doing with our hybrid solutions for AWS and hybrid solutions that we're having with Google is making it so that you can have the same environment within your data center as you have in the cloud, and then we connect the two so that now the IT infrastructure really is looking like a cloud and there's many clouds, multiple clouds in your own data center, in multiple service providers. That makes it easier for IT to really consume CloudNative technology. >> I wonder if you can chill us down a level from what we're talking- you talk about cube flow and machine learning remember back to big data, was like okay, well what do we have to do with the network? Well, I need some more buffering but you know, how are we what is just the base infrastructure layer and where Kubernetes and this ecosystem just becomes the platform for all of the modern applications, and what has to be done differently, I wonder if you could help- >> Yeah so one of the big challenges I think is this how do we connect the different clouds together with your own data center. And that's why we, the hybrid solutions, where Cisco's driving now are designed specifically to make that easy because it's scary for IT organizations to say they're going to open up some part of their firewall to have connections coming in, and so we provide a solution that makes it easy for people. And that means that things such as cube flow, and things like that, they can be running, perhaps they might do some of their research in a hybrid- in a public cloud provider, such as AWS or Google. And then they want to run it now in production within their own data center, and they don't want to change a thing. And at the same time, we're seeing other capabilities. You want to access some service in the cloud as a part of your enterprise app. >> Yeah one of the things people have a hard time understanding is what is just kind of standardized, okay I've got compliant Kubernetes it can run all these places and then there's areas where Cisco has done deep integration work with both Google Cloud and with AWS, maybe help understand what are the standard pieces and what's the extra engineering work needed to be done to support some of these? >> Well I think what has helped us all is the fact that Kubernetes has really taken off. So we really are seeing if you have a Kubernetes platform and you adhere to the public APIs of Kubernetes and everything else like that, you then can have the portability of applications back in the java days we were going after that, and now we're seeing it with Kubernetes. And so by what we've developed has been with the Cisco container platform is an on premise manage Kubernetes environment that looks identical to what you find in the Kubernetes environment at AWS or at Google. So the same interfaces are there, the IT doesn't have to relearn things, they can actually get the advantage of that standardization. >> And that's key for operations and IT because that is the promise of cloud operations. Similar on both platforms on premises and in the cloud. And the next question is okay from a networking perspective, we've had many conversations with Suzie Wee at Cisco around network programmability or net dev options as you guys call it, which is kind of a play on dev ops. This is the future because with multi-cloud the apps don't need to know about where to provision workloads, which cloud when, is it better region over here, latency, network factors come in, you still got to move things around, put A to B, edge of the network for IOT. Talk about the importance of network programmability now more than ever with CloudNative why it's so important. >> Well the first and foremost, it has to be driven by APIs. The old days of actually going out and having people configure network switches to make connectivity or open up provisions and firewalls and things like that, that's behind us. Now we have that all being because of programmability of the network through what we've been doing with ACI and other technologies, we can make it so we can connect these clouds and make it, maintain the security. We're also seeing other things such as isteo and edgebased computing and things like that come into play, where again, the ordinary developer doesn't have to learn all of the details of networking and security, but the operations people need it to be secure, need it to be able to be moved around, need to be able to have telemetry so they can tell what's going on. >> One of the things we've been talking about on theCUBE, Stu and I were yesterday riffing on this but for a while, but it's also now trickled into the Silicon Valley conversations around some of the tech elite people around architecture. Cloud architects are in high demand and there's two schools of thought. There's a persona around a systems architect, more of a systems view, operating systems kind of view, that's cloud that's operating, environment, serverless, advanced, these are kind of concepts that is a systems-oriented thinker. And then you have the application developer that looks like an app server kind of world. Those are all paradigms that we've lived through. >> Right. >> Now coming together now in one, horizontally scaled both cloud that's a system, vertical specialization around the apps, and with dev ops layer, having these guys work together. Talk about this dynamic, your thoughts on it, how it shapes employee selection, people who lead projects. 'Cause the CTO and architect role's now more important, but the software side's just as important. >> Yeah so I think one thing that's become very clear is that we need to make it easier for the domain experts in an application area to just take care of their part. And so that's why like one of the previous episodes we talked about here was about istea, where we've actually separated out essentially the data play, the transport of data around with security, encryption, identity, and everything else from the actual application code of the micro service. That makes it much easier because now the engineering teams are too large, you can't have everybody know everything anymore, like you say, we've got specialists in different areas. We need to be able to provide then, underlying systems that connect these things and that underlying system then has to be managed by your operations people. So we've got dev ops where the application people are writing code actually that the operations people use, so that we can actually have this kind of uniform infrastructure that is maintainable. >> And security is super important and all that good stuff. >> Yeah so Lew it's interesting, we've been watching so many of the pieces we've worked on OpenStack, it was really from the bottoms up building the infrastructure, we've seen the dynamic the last two years, Kubernetes some, and server-less even more, coming from the top down. We want to get your thoughts on that, we've been digging in and trying to tease out some of the Knative pieces that are being discussed here, versus some of the functions things that are happening, especially in Amazon and Microsoft, I'd love to get your take. >> I think we're always seeing this progression in platforms for computing, and programming languages, and paths we've talked about years ago. All of these things are designed always to make it easier. So you're right we've got for example Knative now really coming on as saying can we standardize a way specifically helping Kubernetes people move into this area. Like I've mentioned before the Kubeflow again, how can we start to standardize these pieces? The beauty of this is, the standardized pieces are coming out in open source. So everybody gets it, and that means it's deployable in your public clouds, it's deployable in your data center, and then through a lot of the hybrid technology that Cisco's working, you can connect those together. But you're right we're going to continue to see innovation, that's great, because we need that, we need that constantly. What we need to be able to do is make it easier to consume and then integrate into these systems. And that's where I think Kubernetes has a lot do with how we make it easier. >> Final question on Cisco then I want to go on a more personal note with you on your situation which is news breaking here on theCUBE. Cisco has successfully transformed it's direction, it's been always a great leader in networking, always a great business, billions and billions of dollars in revenue. Now with CloudNative and Kubernetes, the relationship I saw with Amazon, you got Google, you guys have taken that systems view in making things programmable. Explain the Cisco strategy from your perspective as a CTO and as a legend in the industry, for the people that know Cisco, know the old Cisco, what is the new Cisco? And how does Kubernetes and how does all this CloudNative fit into the new Cisco? >> I think the new Cisco really is focused now on where customers are taking their computing resources and it is in this multi-cloud world where we're seeing it's not a fight anymore. You can't say I have a reason to keep things here in my data center, I'm never going to go to cloud, and other customers are saying I'm never going to have a data center, now everybody's saying we're probably going to have both. And Cisco as a networking company, this plays right into our strength because what you have to be able to do is now connect those environments in a secure way, in a manageable way. And so this plays right into where Cisco's growth I think is going to be, it'll be in much more of these kinds of services that allow that to happen, and in the relationships and partnerships that we have with the major cloud providers. >> This basically, the decomposition of monolithic applications into sets of microservices is connected by the network. >> Exactly right. >> This is the fundamental beauty of where you guys see that tailwind. >> Exactly. >> Awesome. Well Lew you've been a legend in the industry, I've been following your career from the beginning. You've been- you have product that's in the Computers Museum you've done amazing work at Sun Microsystems, I mean just a great story career, the work you've done at Cisco, you've been on theCUBE so many times, I don't know that number. You've really contributed to the industry and this news now about your situation, share the news about what's happening with you. >> Well I made announcements at our CNCF board and our OpenStack board meetings that I'm leaving Cisco and so I'm having to withdraw from the board positions as well as Cloud Foundry and that's sad in a way because I have relationships with those people, but it many ways after I want to spend some time to really see where the future is again, because as you know in my career I've changed several times. And I'm so looking forward to actually, now going into sort of a new direction which may be much more moving up the stack. I think there's very exciting things going on in AI, there's exciting things going on in genomics. There's a lot of activity going on so we've been building this technology for a purpose to allow us to have those kinds of things. Now I want to start focusing much more directly. >> And you're leaving Cisco on what date? >> Leaving Cisco beginning of January. >> Well congratulations, great work and I think one of the trends I think this speaks to is I see a lot of computer scientists, a lot of people who have some DNA from the old ways like you do, and been there, and contributed at a seminal level, just some great contributions. Seeing computer science as an opportunity to solve problems. This is kind of a renaissance from seasoned pioneers and young people coming together. This is a great opportunity, is that kind of what you're thinking, you're just going to attack the problem? >> There's 8000 people here, this show's sold out and this is all developers so people who have background in computer science or are getting online and learning it themselves, this is an opportunity and the time to get in. >> You've been a great mentor to many, you've been a great contributor in the open source community, again, your contributions at the systems level and you understand certainly what's going on with CloudNative, looking forward to following up and congratulations. >> Yep, well I hope to be back again. >> Of course, you're VIP CUBE alumni. Lew Tucker, exciting news, Cisco's transformed. He's moving on to- taking on some big new challenges, thanks for coming on theCUBE really appreciate it. Lew Tucker, Vice President CTO systems, Cisco systems, moving on to some new endeavors. Here in theCUBE we're covering the live coverage here at KubeCon CloudNative I'm John Furrier, Stu Miniman, back with more day two interviews after this short break. (upbeat music)

>> From Union Square in downtown San Francisco, it's theCUBE, covering Pager Duty Summit '18. Now, here's Jeff Frick. >> Hey welcome back here everybody, Jeff Frick here with theCUBE. We're at Pager Duty Summit 2018, at the Weston St. Francis, Union Square in San Francisco. It's a beautiful day outside, a really historic building, and we're happy to be here for our second Pager Duty Summit, and our next guest, super excited to have him, we didn't have him last year. He's Alex Solomon, the Co-Founder and CTO of Pager Duty, Alex, great to see you. >> Yeah, thanks for having me. >> Absolutely, so we were just talking a little bit. Before we turned the cameras on, you started this little adventure in '09, so it's been nine years. So what, I'd just love to get your perspective, as you come to something like this, and look at all these people that are here, to see what started as just a germ of an idea, back in your head nine years ago. >> Yeah, it's exciting to see such an amazing conference. We have over 800 people here today, and it's definitely buzzing. I could feel the excitement in the air. >> Right, well Ray Kurzweil is the Keynote, that's getting right up there. >> Exactly. >> Really an amazing story. One of the things that was, that was key to Ray's topic was the accelerating technology curve, in terms of power and performance, and it's not linear, it accelerates, and you guys have seen a huge growth in your business, and your throughput and all the incidents that you're reporting, and now we're talking about BI, and using Machine Learning and Artificial Intelligence to make some sense and to help filter through all this phenomenal amount of throughput. So how are you, how do you see that opportunity, how are you guys grasping the opportunity? What are you going to do with that Machine Learning? >> Sure, so about three months ago, we launched our new Event Intelligence product, which is all about capturing the, all the signals coming out of all of your different tools, things like monitoring tools. Things like ticketing systems, collaboration tools like Slack, and processing all those signals, mostly events and alerts and filtering out the noise. So a lot of alerts and events are not necessarily relevant for someone to get paged about in the middle of the night. Maybe it's a false alert, maybe it's something that has gone up, and will fix itself. >> Right. >> So it's about filtering out all the noise in there, and it's also about automatically clustering, and correlating related events. So we take those events in, and then we group them together into incidents, and we determine the surface area of the problem, which systems are affected, and we page those people, and only those people, so that they can respond to the incident. >> Right. So do you leverage the total learning of the Pager Duty System, in kind of an anonymized way, so you can leverage the multi-billions of dollars worth of incidents to get that type of learning, that was one of Ray's key themes, it helps if you have a billion of something, if you want to start applying some of these Machine Learning techniques. >> Exactly, so the more data you have when you're applying AI and ML, the better the results will be. We have over nine years of data that we've accumulated since founding the company, and we leveraged that for (mumbles) conditions, so for, I'll give you an example. If you're looking at an incident, you just got paged for something, or multiple people got paged, and you're looking at an evolving situation, our algorithms will automatically look in the past, and see has this type of problem happened before? Have you seen this type of incident before? Have you seen these events come in before, that are similar to this and, if so, what happened last time? >> Right. >> Who solved it, what was the resolution, so you can apply that knowledge, to the problem, and resolve it much faster. >> Right. So is it? So you do it both within the existing company, and their ecosystem so yeah, Joe solved it last time, Suzie solved it the time before, as well as to get more of an aggregate, of kind of an anonymized of we see this pattern over and over and over, this might be what you're looking at. >> Yeah, and we haven't done the aggregate picture yet, but it's something that we're very excited about, because we have the potential to become kind of like the Internet weather, where we can tell, based on the number of customers that we have, problems with the Internet, such as, let's say one of the Public Cloud providers is having an issue. Well, they have lots of customers that are Pager Duty customers, and they can now see oh, we have, we're seeing all of this additional incident activity, in this part of the Internet. >> Right. So there's something going on. >> Right. >> And we can start, this is an opportunity that we're very excited about, start telling, being able to tell, oh there's a problem with one of the Cloud providers, there's a problem with one of the main, big infrastructure providers that is commonly used by a lot of different companies. >> Right, because so many of these systems now, are so interdependent. You've got all these APIs, from all these different applications, all these different Cloud providers, and the whole thing stitched together so, trying to figure out where that little, the glitch is, is not necessarily as easy as when you kind of controlled everything. >> Exactly. >> It's funny too, because Jen had a line from her Keynote, which you just triggered. She said, "You know, we're the ones that want to be up, "when the rest of the world seems down." >> Yeah, exactly. >> So, let me expand on that a little bit. So you were the Founder. Jennifer came in a couple years ago, if I recall. I'm sure everyone who loves the classic entrepreneur tale, who liked to watch the show. You founded it, you got it to a certain point, and at some point you decided, you're going to bring in a new CEO. Wonder if you can talk a little bit about how that process went down. Kind of your thoughts as a Founder, of making that transition to see your company go, from this stage to that stage. >> Sure, sure, so yeah, I was the Founding CEO. I built, well me, not just by myself, but with my two Co-founders, and with the great team that we hired, we built the company from zero to over fifty million in annual recurring revenue. The company, when we decided to make that transition, I got into about 200 people or so. So a pretty good scale starting from nothing. >> Yeah, and to a fifty million run right, that's good. >> Yeah, and I'm a first-time entrepreneur, so I haven't done this before, and at that point we had a lot of work to do on the product side of things, like a lot of exciting new things, such as Event Intelligence that we just launched earlier this year, and other products are on Analytics and Visibility, that we're announcing here today. But I found myself spending a lot of my time, inside the building hiring and managing, and I didn't get enough of an opportunity to talk to customers and think about product, and think about the vision, what should we be building next? >> Right, right. >> So I wanted to go and focus more of my time in that direction. I initially started by thinking, maybe I can hire a CEOO, like a Chief Operating Officer to run Sales/Marketing and I can focus on Product and Engineering. Did a lot of due diligence, and talking to other CEOs who had been there, and done that, and realized that while that may solve some problems, it introduces new ones, and that the best bet is to find a World Class CEO. Like the best people out there in the world, are going to command that title, and they're going to want that role. >> Right. >> And I could still get to focus on product, and on talking to customers, and on vision, by replacing myself and taking on a CTO role, so that's what I ultimately decided to do. Had lots of help from the Board, who was very supportive in this decision, and they helped a lot with the interview process for, and the screening process for finding Jennifer. >> Well, you did good. We've known Jennifer for a long time, so I think that was one of your better hires. >> Absolutely. >> In the long history of the company. >> My best hire. Your best hire, very good. Well, and again, congratulations, it's funny you know, you see it over and over right? Overnight successes that are 10 years in the making. You know clearly, your last round of funding was a huge validation on your guy's strategy, and where you're taking the company, and then I just want to call out too, you guys were chosen for the Ernst & Young Co-founder, wait, hold on, the Entrepreneur of the Year Award 2018. Which is funny because you always think of that as maybe a little company just getting started right, or a really early entrepreneur. But you guys have been at this for nine years. Again, really good validation as to where you are in the market, and people realizing the value that you guys are delivering, so congratulations on that. >> Thank you very much. >> Alright Alex, well thanks for taking a few minutes from I'm sure, a very busy couple of days, and it was great to meet you. >> Absolutely, thanks for having me on the show. >> Alright, he's Alex, I'm Jeff. We're at Pager Duty Summit 2018, thanks for watching. (bright music)

>> Live from Orlando, Florida. It's theCUBE, covering Cisco Live 2018. Brought to you by Cisco, NetApp, and theCUBE's ecosystem partners. >> Okay welcome back everyone, we're here live in the Cisco DevNet Zone, at Cisco Live 2018. It's theCUBE's exclusive coverage. This is Go Live, I'm John Furrier with Stu Miniman there, here with Suzie Wee who is the CTO and Vice President of Cisco. This is her baby DevNet, the fastest growing developer program in Cisco history, only four years old. Welcome to theCUBE, good to see you again. >> Hey John good to see you, hey Stu. >> I made that stat, it was only four years old. So DevNet, obviously just for color commentary, really successful developer program, only in it's fourth year or so for Cisco. But it's really changing the face of Cisco. It's showing that a new collaboration, a new co-development, a new developer framework is being built on top of networks and it's on a collision course with Cloud Native. Kay, this is a great path for network engineers. It really changed the show vibe so congratulations. >> Thank you, thank you. Yeah, and why do you say collision course? There's like a whole new paradigm, right? And it's pretty amazing, it's pretty amazing. >> Well some of the things that we've been seeing here, obviously CCIE's or 25 years of excellence and stats was out here >> Yes, Yes. >> The key note from the CEO, Chuck Robbins, talks about an old way and new way. Developers are clearly in the driver's seat here and network engineers, Cisco partners, customers technical folks and engineers. They're at the keys to the kingdom and you introduced a concept called Network Dev Ops. >> Yes. >> Okay, a few years ago when we first had you on theCUBE. Where is that now? Where is Network Dev Ops now? What's the vibe internally? Is there a full acceptance to it? Is there embracing it? >> It's amazing and ya know it's like, when we were pushing it we were just saying, "Hey, the network is changing, the network "is gonna be programmable, the network "is going to have API's", and you go back four years and then you're just like, "What was the buzz?" The buzz was SDN, y'know the buzz was SDN. SDN was open flow, it was separation of control plain from data plain. But, it was still kind of research. And what we knew is like, it wouldn't become real until the people who are building and operating the World's networks were ready to adopt it. And so, at first of course, it was like, there were the people who were like, "Okay this network thing, this programmability "is gonna come to the network, but what can we do there?" And since then, people have jumped in, they've like really gotten in. And like here at this Cisco Live, what we're seeing is that people are ready to code. And so the concept of, I'm a networker, now there's software built into my entire network programming portfolio. How do I build the skills? I'm a developer, and the networkers are getting comfortable with understanding that they need to code, they need to understand these skills. But one thing that we did, was we actually separated out, like, the definition of developer. >> Yep. >> Y'know. >> You guys done a good job of really defining a path for the network engineer, who can extend their skill set and solve network problems, be creative, and also do great business outcome oriented things. So, I want you to take a minute to explain the DevNet story because you guys just didn't throw a PowerPoint at this. You dug in, you built it up, and you threw a lot of resources for Cisco, I mean small for Cisco's scale, but you guys dug in, you did the homework and you're doing new things. So take us to the DevNet story and what's happening this year in the momentum. Take us through that little journey. >> Yeah, so the story was back in actually 2013. Cisco was saying, "Hey, we're gonna get into software "we're doing software, we have a software strategy." And all of that is fantastic, either... But the thing that was missing, was like, Hey, we need an ecosystem, like the reason you do software is to have an ecosystem. And in order to have an ecosystem you want people to build upon your stuff. You need to expose your API's. It doesn't happen by itself, you need to have a developer program so that you can actually really let people use all of that and partake in the ecosystem. So we, kind of, I evangelized, evangelized, evangelized, gave a couple hundred pitches, got the okay to start DevNet, and that was in 2014. And then in 2014, then we said okay. So now we got the okay to start a developer program for Cisco. But, y'know, it's still not a sure shot that it would work. >> Yeah. >> And then we said our dream is to have a developer conference at Cisco Live. And so we wanted to have that developer conference at Cisco Live and then three months later, we had it. And we're like okay, 24 hour hack-a-thon, deep dive API sessions, but would the people come? Would they be ready? And then, they came. Like, they came, it was packed. It was just like wall to wall of people, who are excited to learn about software. So now you go and then you fast forward, y'know, four years, and now we just hit 500,000 developers. 500,000 people have registered for DevNet. And you can be like, "Well what does that mean?" We have half a million developers. Is it a real number? Well, my team kept scrubbing the database. Like so, we had hit 400,000 and then our numbers got lower and I was like "Come on guys, stop it!" And they were like, "No, no, no, we have to scrub it, "we gotta out the duplicates." And then finally we got it up and we've grown it. It basically is at 500,000 registered developers. And what that means is like, now we have a community. We have a community of people who are getting up on network API's, we have a community of people who can develop, and once you do that you hit this completely different inflection point. Where at first our mission was just to help networkers be developers, to help the app developers understand that the network has API's and to do stuff there. That's still our goal, to enable developers. But now we have a community, what we can do is really catalyze that community into business and impact. >> Suzie, first of all congratulations. It's been so much fun to be here in the DevNet Zone. It'd been a few years since I'd been to Cisco Live. And y'know, people in these sessions every time. And you go, people are coding, they're white-boarding, they're, y'know building. Playing with Legos, they're doing all sorts of stuff. Over the last five years, y'know, we all knew that, y'know, developers of the new Kingmakers. It's been talked about a lot. But we've seen many infrastructure companies try. They create little developer conferences, they bring in speakers, they'll get some momentum, and then after a year or two, it kind of fizzles out. >> Yes. >> Give us a little bit behind the scenes, as to, y'know is it because networking people are worried about their jobs and they're getting on-board? Is it, y'know, I know part of it is your team and the ecosystem you've built here. But, give is some of the reasons why this has succeeded when so many other have, kind of, come and gone. >> Yeah well, I mean we're very fortunate that we've kind of executed in a way that it has continued to be here and we know that's really hard to do. It takes executive support, it takes the troops, it takes fighting anti-bodies, and kind of all of that kind of stuff. But I think, like, the key has been that we've been working with the community. When we had that first DevNet Zone, that first developer conference at Cisco Live four years ago, people came. And that told Cisco something, right? And then as we've continued to build it out, we've actually been not doing it as a silo within Cisco. We've been doing it with our sales organization, with our partner organization, we've been doing it with our ecosystem and our partners and out there. We've just continuously been doing it based on what their needs are. >> And Suzie, I love that, because there are some of the events I saw, they were like, "Well, the developer "is this special unicorn", and we're gonna have this special area, it's velvet rope, we're gonna treat 'em really well. But, this is the first thing you see when you come in, you're very approachable. The line I've heard from your team is, "We are going to meet them where they are." There are no, y'know, "Gosh I haven't "touched programming in 20 years." No, no, no, you're fine, you're good come on in. I'm not sure if I'm really (mumbles). Well you're not programming, you're coding. So, I think that's part of the success, is these people. Y'know, this is their careers, and you're giving them that path forward. >> It is, and when we look at like, developer programs, you'd think it would be easy to start a developer program. But, there's no formula for it, y'know? And when we did it for Cisco, like as we've grown this, it depends on the products that we have, it depends on the community that we have, the types of solutions, what our customers want. And basically what happens is, we did have a core set of networkers who are scared. And we, instead of making DevNet the elite place for the elite developers, we said it is the place to bring in the community. We're gonna be welcoming, we're bringing them in on the journey, because they're the ones who need to be there. And so we've really tried this more open approach. And if you look at Cisco's community of networkers, they're amazing, like, they are developing and installing and operating networks around the World in every country. They've been dedicated, but they are scared of that transition to software and programmability. And they've been dedicated to us, we're dedicated to them, getting to that next level. >> You just did a good job of bringing that tribe kind of mentality and co-development, co-creation, people who are learning. So you have first time learners kicking the tires on coding and growing and experts. So Cisco Champions coming in; Powerhouse developers. >> Yeah >> Not Cisco employees, it's Cisco Champions, and so a nice balance. So that's a good sign of success. >> And you're right, that's key because it's not just, like just beginners. I mean, first of all, there is a very large stage of new people who are just coming in and then wanting to get started and that's awesome. And in addition, very advanced folks, who are like, y'know, just the most advanced developer you'd find, who also has networking expertise. And then of course, the app developers. We're talking to app developers and cloud developers and DevOps pros, and they're coming in as well. >> Yea, and Suzie you bring up a great point. Cause one of the challenges when you have the cool new innovation stuff, is the business, like well how does that connect back? So help connect the dots, we heard Chuck Robbins on stage. Not only was it just DevNet and 500,000 but the new products that are coming out just tie right into it. >> It's crazy, like yea, it's awesome. Because what happens is, programmability, Cisco, is building programmability into our entire portfolio. It's not that we have one product that has API's, I mean that's where we were a few years ago. But now we look... Our enterprise networking products, y'know, for the data center, for service provider, for wireless. All of those products are programmable. Our security products are programmable. IoT, collaboration, our entire portfolio is now programmable, so it gives you this kind of whole portfolio of programmability to play with, and that cross-domain. Who covers that many domains? And that's really powerful. When we take a look at the programmability, it was like for the network devices themselves. Like those have Asics that are programmable. So if there's like a new protocol that comes up to handle IoT things, we can actually re-program the Asics to get that going at line rates. You can do like, on-board application hosting on those network devices. We have controller levels, so you can hit the network, and then now you have like analytics and insights that you can do to pull out information from the network, and then be able to, y'know, operate at that level as well. >> So a strategic advantage architecturally for Cisco, certainly in the network side and scaling up at the stack with Kubernetes and (mumbles). We saw Google on-stage, kinda giving an indicator of where it's going. I want to ask you about the culture question for DevNet. Obviously people are fascinated with the success of DevNet, we've been great to follow the success through your journey and being part of it. But for the folks that are now seeing the success, and want to join: What can they expect, if I join the DevNet mission? What's the expectation? What's gonna be the vibe? What would you share to someone watching, that's gonna jump in and join the journey, what can they expect? >> Well, I think that first of all, it's going to be very welcoming. Like, they're gonna feel welcome. And I'm just proud of my team, because people come in and they actually say, "Wow, sometimes you go to developer conferences "and it's a little bit intimidating." And yea, you might be intimidated, but here you're going to feel welcome. Because, y'know, we really want things to happen. And then there's gonna be this kind of like, intrigue in terms of what you can build. Because what we're building is different. It's not a well known area, like everyone knows how to build apps for a mobile device. People don't know how to build applications for programmable infrastructure. Like, the fact that hey, your wireless access points now give you location and proximity information. I can write an indoor location app. Sounds simple, but it's awesome. >> Connect a camera to it. >> It's amazing, right? >> Hello! >> And then what happens is, as you're doing that, you have like, connect a camera, you're like put a Playstation into a hospital... The Children's Hospital of L.A came and spoke, and they were talking about the business problem. They had a patient, who was very sick, a young boy. And his wish was to have Playstation so he could play it. And then they had to go to their networkers cause you don't put Playstations in hospitals. They had to make that happen and intent-based networking lets you make that wish, and then activate that in the network, that's now a programmable infrastructure. So the types of problems that you can solve are different, it's amazing. >> The new apps are coming out and you're creating a new, first generation green field of networked apps. >> Yes. (chuckles heartily) >> Like what iPhone did for mobile apps, you guys are doing for networks. >> That's right, that's right. >> So that's awesome, it's super cool. Programmable infrastructure, all DevOps kinda geeky stuff. For the next steps, as you guys are now at the beginning of the next inflection point. >> Yes. >> What're you guys focused on? What's happening with the team? What's happening with some of the initiatives you're doing? Also demos get better and better. The training classes are still going on. What's your focus? >> So with some of the things that are happening now, which is... So we've hit this milestone of half a million developers. But what does that mean? What that means is that, we have half a million people who can use network API's. What that means also, is that they're contributing code. So it's no longer just, "Here I'm gonna help "you use your API", but now it's also like, they're contributors back. And what we're doing, is we're actually embracing that and making that part of the innovation model for networking. So, you're not just taking Cisco's platforms and the innovation there, which is of course growing tremendously, but now you can also add in innovation by the community. And I know it's a straight forward concept for software. It's not a straightforward concept for networking and infrastructure. >> To bring an open-source ethos, to code sharing, co-contributing. >> Exactly, and something that we've released is code exchange, definite code exchange. And what it is, is just a list of curated software. Software that's out of GitHub, that works for our platforms, y'know. But the thing that developers are always like, "Okay there's a lot of software out there, "which one should I use?" and then basically giving them like, the curated list of here's the stuff that you can use. >> So Suzie, it's been fun to watch the transformation of Cisco overall. As we look at... Before, we used to measure in boxes and ports. What's the measurement internally? When you talk about saying, "Okay how are we doing "on our journey to become a software company?" Give us a little insight as to internally how Cisco measures that. >> The way that we measure that now is, we're talking to our customers and our partners and their adoption of API's, of programmability, their ability to execute on that and to be successful in this business. And so, it's really an external looking view. So it's all just like okay, how much do they get it? How much can they use it? How much are they building the skills? So it's really looking at the success of the community and being able to build the skills and use these products and build solutions with them. >> Suzie, congratulations on continuing growing, hitting a major milestone, 500,000 developers, half a million developers, that's a real community. It's just the beginning now, it's the start line. >> (chuckling) The start line, it is. >> One finish line is another start line. >> It is a start line, it's absolutely the start line. >> And you guys had a great event last night at the Mango party, the Mango Cafe. Talk about that, you had a celebration. Turns out a lot of people showed up. It was supposed to be a little private party. >> It was a little private party, yea. So we, y'know, just wanted to thank the team and thank our community. Because, quite honestly, to get to this half a million it wasn't just the people who work for me who got it there. It's the fact that, there's of course our team who's very dedicated to that, but then it's our partners. It's even you guys, right? It's our partners who have like... I understand this mission, I'm gonna jump in, I'm gonna help it happen. It's our systems engineers, it's our partners, it's our innovation folks, it's people from the community who understand the mission and have joined in to push it forward. So we had this party last night at Mango Cafe, you guys were there. The people were callin it kinda the best one. It's really just appreciation for our community and what they've done to get it there. Because it's not us, it's our community who've done it. >> This is the open ethos. Cisco becoming open. What's it like to be on the inside and seeing Cisco open up like this? >> It's, I mean, it's amazing. And what's amazing is like, when I started DevNet you'd think like okay, "I'm gonna run a developer program." The thing that surprises me is just, how hurtful it is to so many people. Like, people, they find a path. They see a new opportunity, they figure out a new way they wanna advance their businesses and their careers. And it's like, all heart. And that's how it grew. Like with the resources, it's just because people who had felt this heart and this connection into this mission and drive, they're taking it to the next level so it's amazing >> Like open-source software, people love to be part of a great project. >> It is, it is. >> And DevNet certainly is. And DevNet Create. Don't forget DevNet Create is your other event that bring the cloud native world with the networking world together. >> It is. >> Great project. >> You were with us at DevNet Create and that's where it's this mixing of communities of like, the app developers with the networkers who are getting out there. And what's funny is, we didn't know how those communities would interact. And they're mixing, they're getting it. They're just like "Okay, I have this location software, "I need to work together with the guys "who are gonna install the network and then "we can make this amazing experience." And they're mixing and when they do it the right things happening. >> Very complimentary, there's love going wild. >> App guys love the network guys to take care of the network and the network guys love the app guys that take care of the apps. >> Exactly! Exactly. >> It's a win-win. Great stuff, congratulations. Again, a new way to program. Just like we saw the iPhone creating the app store. Networking now is programmable. We expect to see a lot of great creativity, new problems, new things being created. And that's an opportunity for all. We're here at theCUBE bringing you all the action from the DevNet Zone at Cisco Live. More live coverage. Day three, stay with us, I'm John Furrier with Stu Miniman, we'll be right back. (upbeat music)

>> So as folks make their way over from Javits I'm going to give you the least interesting part of the evening and that's my segment in which I welcome you here, introduce myself, lay out what what we're going to do for the next couple of hours. So first off, thank you very much for coming. As all of you know Wikibon is a part of SiliconANGLE which also includes theCUBE, so if you look around, this is what we have been doing for the past couple of days here in the TheCUBE. We've been inviting some significant thought leaders from over on the show and in incredibly expensive limousines driven them up the street to come on to TheCUBE and spend time with us and talk about some of the things that are happening in the industry today that are especially important. We tore it down, and we're having this party tonight. So we want to thank you very much for coming and look forward to having more conversations with all of you. Now what are we going to talk about? Well Wikibon is the research arm of SiliconANGLE. So we take data that comes out of TheCUBE and other places and we incorporated it into our research. And work very closely with large end users and large technology companies regarding how to make better decisions in this incredibly complex, incredibly important transformative world of digital business. What we're going to talk about tonight, and I've got a couple of my analysts assembled, and we're also going to have a panel, is this notion of software is eating the Edge. Now most of you have probably heard Marc Andreessen, the venture capitalist and developer, original developer of Netscape many years ago, talk about how software's eating the world. Well, if software is truly going to eat the world, it's going to eat at, it's going to take the big chunks, big bites at the Edge. That's where the actual action's going to be. And what we want to talk about specifically is the entangling of the internet or the industrial internet of things and IoT with analytics. So that's what we're going to talk about over the course of the next couple of hours. To do that we're going to, I've already blown the schedule, that's on me. But to do that I'm going to spend a couple minutes talking about what we regard as the essential digital business capabilities which includes analytics and Big Data, and includes IIoT and we'll explain at least in our position why those two things come together the way that they do. But I'm going to ask the august and revered Neil Raden, Wikibon analyst to come on up and talk about harvesting value at the Edge. 'Cause there are some, not now Neil, when we're done, when I'm done. So I'm going to ask Neil to come on up and we'll talk, he's going to talk about harvesting value at the Edge. And then Jim Kobielus will follow up with him, another Wikibon analyst, he'll talk specifically about how we're going to take that combination of analytics and Edge and turn it into the new types of systems and software that are going to sustain this significant transformation that's going on. And then after that, I'm going to ask Neil and Jim to come, going to invite some other folks up and we're going to run a panel to talk about some of these issues and do a real question and answer. So the goal here is before we break for drinks is to create a community feeling within the room. That includes smart people here, smart people in the audience having a conversation ultimately about some of these significant changes so please participate and we look forward to talking about the rest of it. All right, let's get going! What is digital business? One of the nice things about being an analyst is that you can reach back on people who were significantly smarter than you and build your points of view on the shoulders of those giants including Peter Drucker. Many years ago Peter Drucker made the observation that the purpose of business is to create and keep a customer. Not better shareholder value, not anything else. It is about creating and keeping your customer. Now you can argue with that, at the end of the day, if you don't have customers, you don't have a business. Now the observation that we've made, what we've added to that is that we've made the observation that the difference between business and digital business essentially is one thing. That's data. A digital business uses data to differentially create and keep customers. That's the only difference. If you think about the difference between taxi cab companies here in New York City, every cab that I've been in in the last three days has bothered me about Uber. The reason, the difference between Uber and a taxi cab company is data. That's the primary difference. Uber uses data as an asset. And we think this is the fundamental feature of digital business that everybody has to pay attention to. How is a business going to use data as an asset? Is the business using data as an asset? Is a business driving its engagement with customers, the role of its product et cetera using data? And if they are, they are becoming a more digital business. Now when you think about that, what we're really talking about is how are they going to put data to work? How are they going to take their customer data and their operational data and their financial data and any other kind of data and ultimately turn that into superior engagement or improved customer experience or more agile operations or increased automation? Those are the kinds of outcomes that we're talking about. But it is about putting data to work. That's fundamentally what we're trying to do within a digital business. Now that leads to an observation about the crucial strategic business capabilities that every business that aspires to be more digital or to be digital has to put in place. And I want to be clear. When I say strategic capabilities I mean something specific. When you talk about, for example technology architecture or information architecture there is this notion of what capabilities does your business need? Your business needs capabilities to pursue and achieve its mission. And in the digital business these are the capabilities that are now additive to this core question, ultimately of whether or not the company is a digital business. What are the three capabilities? One, you have to capture data. Not just do a good job of it, but better than your competition. You have to capture data better than your competition. In a way that is ultimately less intrusive on your markets and on your customers. That's in many respects, one of the first priorities of the internet of things and people. The idea of using sensors and related technologies to capture more data. Once you capture that data you have to turn it into value. You have to do something with it that creates business value so you can do a better job of engaging your markets and serving your customers. And that essentially is what we regard as the basis of Big Data. Including operations, including financial performance and everything else, but ultimately it's taking the data that's being captured and turning it into value within the business. The last point here is that once you have generated a model, or an insight or some other resource that you can act upon, you then have to act upon it in the real world. We call that systems of agency, the ability to enact based on data. Now I want to spend just a second talking about systems of agency 'cause we think it's an interesting concept and it's something Jim Kobielus is going to talk about a little bit later. When we say systems of agency, what we're saying is increasingly machines are acting on behalf of a brand. Or systems, combinations of machines and people are acting on behalf of the brand. And this whole notion of agency is the idea that ultimately these systems are now acting as the business's agent. They are at the front line of engaging customers. It's an extremely rich proposition that has subtle but crucial implications. For example I was talking to a senior decision maker at a business today and they made a quick observation, they talked about they, on their way here to New York City they had followed a woman who was going through security, opened up her suitcase and took out a bird. And then went through security with the bird. And the reason why I bring this up now is as TSA was trying to figure out how exactly to deal with this, the bird started talking and repeating things that the woman had said and many of those things, in fact, might have put her in jail. Now in this case the bird is not an agent of that woman. You can't put the woman in jail because of what the bird said. But increasingly we have to ask ourselves as we ask machines to do more on our behalf, digital instrumentation and elements to do more on our behalf, it's going to have blow back and an impact on our brand if we don't do it well. I want to draw that forward a little bit because I suggest there's going to be a new lifecycle for data. And the way that we think about it is we have the internet or the Edge which is comprised of things and crucially people, using sensors, whether they be smaller processors in control towers or whether they be phones that are tracking where we go, and this crucial element here is something that we call information transducers. Now a transducer in a traditional sense is something that takes energy from one form to another so that it can perform new types of work. By information transducer I essentially mean it takes information from one form to another so it can perform another type of work. This is a crucial feature of data. One of the beauties of data is that it can be used in multiple places at multiple times and not engender significant net new costs. It's one of the few assets that you can say about that. So the concept of an information transducer's really important because it's the basis for a lot of transformations of data as data flies through organizations. So we end up with the transducers storing data in the form of analytics, machine learning, business operations, other types of things, and then it goes back and it's transduced, back into to the real world as we program the real world and turning into these systems of agency. So that's the new lifecycle. And increasingly, that's how we have to think about data flows. Capturing it, turning it into value and having it act on our behalf in front of markets. That could have enormous implications for how ultimately money is spent over the next few years. So Wikibon does a significant amount of market research in addition to advising our large user customers. And that includes doing studies on cloud, public cloud, but also studies on what's happening within the analytics world. And if you take a look at it, what we basically see happening over the course of the next few years is significant investments in software and also services to get the word out. But we also expect there's going to be a lot of hardware. A significant amount of hardware that's ultimately sold within this space. And that's because of something that we call true private cloud. This concept of ultimately a business increasingly being designed and architected around the idea of data assets means that the reality, the physical realities of how data operates, how much it costs to store it or move it, the issues of latency, the issues of intellectual property protection as well as things like the regulatory regimes that are being put in place to govern how data gets used in between locations. All of those factors are going to drive increased utilization of what we call true private cloud. On premise technologies that provide the cloud experience but act where the data naturally needs to be processed. I'll come a little bit more to that in a second. So we think that it's going to be a relatively balanced market, a lot of stuff is going to end up in the cloud, but as Neil and Jim will talk about, there's going to be an enormous amount of analytics that pulls an enormous amount of data out to the Edge 'cause that's where the action's going to be. Now one of the things I want to also reveal to you is we've done a fair amount of data, we've done a fair amount of research around this question of where or how will data guide decisions about infrastructure? And in particular the Edge is driving these conversations. So here is a piece of research that one of our cohorts at Wikibon did, David Floyer. Taking a look at IoT Edge cost comparisons over a three year period. And it showed on the left hand side, an example where the sensor towers and other types of devices were streaming data back into a central location in a wind farm, stylized wind farm example. Very very expensive. Significant amounts of money end up being consumed, significant resources end up being consumed by the cost of moving the data from one place to another. Now this is even assuming that latency does not become a problem. The second example that we looked at is if we kept more of that data at the Edge and processed at the Edge. And literally it is a 85 plus percent cost reduction to keep more of the data at the Edge. Now that has enormous implications, how we think about big data, how we think about next generation architectures, et cetera. But it's these costs that are going to be so crucial to shaping the decisions that we make over the next two years about where we put hardware, where we put resources, what type of automation is possible, and what types of technology management has to be put in place. Ultimately we think it's going to lead to a structure, an architecture in the infrastructure as well as applications that is informed more by moving cloud to the data than moving the data to the cloud. That's kind of our fundamental proposition is that the norm in the industry has been to think about moving all data up to the cloud because who wants to do IT? It's so much cheaper, look what Amazon can do. Or what AWS can do. All true statements. Very very important in many respects. But most businesses today are starting to rethink that simple proposition and asking themselves do we have to move our business to the cloud, or can we move the cloud to the business? And increasingly what we see happening as we talk to our large customers about this, is that the cloud is being extended out to the Edge, we're moving the cloud and cloud services out to the business. Because of economic reasons, intellectual property control reasons, regulatory reasons, security reasons, any number of other reasons. It's just a more natural way to deal with it. And of course, the most important reason is latency. So with that as a quick backdrop, if I may quickly summarize, we believe fundamentally that the difference today is that businesses are trying to understand how to use data as an asset. And that requires an investment in new sets of technology capabilities that are not cheap, not simple and require significant thought, a lot of planning, lot of change within an IT and business organizations. How we capture data, how we turn it into value, and how we translate that into real world action through software. That's going to lead to a rethinking, ultimately, based on cost and other factors about how we deploy infrastructure. How we use the cloud so that the data guides the activity and not the choice of cloud supplier determines or limits what we can do with our data. And that's going to lead to this notion of true private cloud and elevate the role the Edge plays in analytics and all other architectures. So I hope that was perfectly clear. And now what I want to do is I want to bring up Neil Raden. Yes, now's the time Neil! So let me invite Neil up to spend some time talking about harvesting value at the Edge. Can you see his, all right. Got it. >> Oh boy. Hi everybody. Yeah, this is a really, this is a really big and complicated topic so I decided to just concentrate on something fairly simple, but I know that Peter mentioned customers. And he also had a picture of Peter Drucker. I had the pleasure in 1998 of interviewing Peter and photographing him. Peter Drucker, not this Peter. Because I'd started a magazine called Hired Brains. It was for consultants. And Peter said, Peter said a number of really interesting things to me, but one of them was his definition of a customer was someone who wrote you a check that didn't bounce. He was kind of a wag. He was! So anyway, he had to leave to do a video conference with Jack Welch and so I said to him, how do you charge Jack Welch to spend an hour on a video conference? And he said, you know I have this theory that you should always charge your client enough that it hurts a little bit or they don't take you seriously. Well, I had the chance to talk to Jack's wife, Suzie Welch recently and I told her that story and she said, "Oh he's full of it, Jack never paid "a dime for those conferences!" (laughs) So anyway, all right, so let's talk about this. To me, things about, engineered things like the hardware and network and all these other standards and so forth, we haven't fully developed those yet, but they're coming. As far as I'm concerned, they're not the most interesting thing. The most interesting thing to me in Edge Analytics is what you're going to get out of it, what the result is going to be. Making sense of this data that's coming. And while we're on data, something I've been thinking a lot lately because everybody I've talked to for the last three days just keeps talking to me about data. I have this feeling that data isn't actually quite real. That any data that we deal with is the result of some process that's captured it from something else that's actually real. In other words it's proxy. So it's not exactly perfect. And that's why we've always had these problems about customer A, customer A, customer A, what's their definition? What's the definition of this, that and the other thing? And with sensor data, I really have the feeling, when companies get, not you know, not companies, organizations get instrumented and start dealing with this kind of data what they're going to find is that this is the first time, and I've been involved in analytics, I don't want to date myself, 'cause I know I look young, but the first, I've been dealing with analytics since 1975. And everything we've ever done in analytics has involved pulling data from some other system that was not designed for analytics. But if you think about sensor data, this is data that we're actually going to catch the first time. It's going to be ours! We're not going to get it from some other source. It's going to be the real deal, to the extent that it's the real deal. Now you may say, ya know Neil, a sensor that's sending us information about oil pressure or temperature or something like that, how can you quarrel with that? Well, I can quarrel with it because I don't know if the sensor's doing it right. So we still don't know, even with that data, if it's right, but that's what we have to work with. Now, what does that really mean? Is that we have to be really careful with this data. It's ours, we have to take care of it. We don't get to reload it from source some other day. If we munge it up it's gone forever. So that has, that has very serious implications, but let me, let me roll you back a little bit. The way I look at analytics is it's come in three different eras. And we're entering into the third now. The first era was business intelligence. It was basically built and governed by IT, it was system of record kind of reporting. And as far as I can recall, it probably started around 1988 or at least that's the year that Howard Dresner claims to have invented the term. I'm not sure it's true. And things happened before 1988 that was sort of like BI, but 88 was when they really started coming out, that's when we saw BusinessObjects and Cognos and MicroStrategy and those kinds of things. The second generation just popped out on everybody else. We're all looking around at BI and we were saying why isn't this working? Why are only five people in the organization using this? Why are we not getting value out of this massive license we bought? And along comes companies like Tableau doing data discovery, visualization, data prep and Line of Business people are using this now. But it's still the same kind of data sources. It's moved out a little bit, but it still hasn't really hit the Big Data thing. Now we're in third generation, so we not only had Big Data, which has come and hit us like a tsunami, but we're looking at smart discovery, we're looking at machine learning. We're looking at AI induced analytics workflows. And then all the natural language cousins. You know, natural language processing, natural language, what's? Oh Q, natural language query. Natural language generation. Anybody here know what natural language generation is? Yeah, so what you see now is you do some sort of analysis and that tool comes up and says this chart is about the following and it used the following data, and it's blah blah blah blah blah. I think it's kind of wordy and it's going to refined some, but it's an interesting, it's an interesting thing to do. Now, the problem I see with Edge Analytics and IoT in general is that most of the canonical examples we talk about are pretty thin. I know we talk about autonomous cars, I hope to God we never have them, 'cause I'm a car guy. Fleet Management, I think Qualcomm started Fleet Management in 1988, that is not a new application. Industrial controls. I seem to remember, I seem to remember Honeywell doing industrial controls at least in the 70s and before that I wasn't, I don't want to talk about what I was doing, but I definitely wasn't in this industry. So my feeling is we all need to sit down and think about this and get creative. Because the real value in Edge Analytics or IoT, whatever you want to call it, the real value is going to be figuring out something that's new or different. Creating a brand new business. Changing the way an operation happens in a company, right? And I think there's a lot of smart people out there and I think there's a million apps that we haven't even talked about so, if you as a vendor come to me and tell me how great your product is, please don't talk to me about autonomous cars or Fleet Managing, 'cause I've heard about that, okay? Now, hardware and architecture are really not the most interesting thing. We fell into that trap with data warehousing. We've fallen into that trap with Big Data. We talk about speeds and feeds. Somebody said to me the other day, what's the narrative of this company? This is a technology provider. And I said as far as I can tell, they don't have a narrative they have some products and they compete in a space. And when they go to clients and the clients say, what's the value of your product? They don't have an answer for that. So we don't want to fall into this trap, okay? Because IoT is going to inform you in ways you've never even dreamed about. Unfortunately some of them are going to be really stinky, you know, they're going to be really bad. You're going to lose more of your privacy, it's going to get harder to get, I dunno, mortgage for example, I dunno, maybe it'll be easier, but in any case, it's not going to all be good. So let's really think about what you want to do with this technology to do something that's really valuable. Cost takeout is not the place to justify an IoT project. Because number one, it's very expensive, and number two, it's a waste of the technology because you should be looking at, you know the old numerator denominator thing? You should be looking at the numerators and forget about the denominators because that's not what you do with IoT. And the other thing is you don't want to get over confident. Actually this is good advice about anything, right? But in this case, I love this quote by Derek Sivers He's a pretty funny guy. He said, "If more information was the answer, "then we'd all be billionaires with perfect abs." I'm not sure what's on his wishlist, but you know, I would, those aren't necessarily the two things I would think of, okay. Now, what I said about the data, I want to explain some more. Big Data Analytics, if you look at this graphic, it depicts it perfectly. It's a bunch of different stuff falling into the funnel. All right? It comes from other places, it's not original material. And when it comes in, it's always used as second hand data. Now what does that mean? That means that you have to figure out the semantics of this information and you have to find a way to put it together in a way that's useful to you, okay. That's Big Data. That's where we are. How is that different from IoT data? It's like I said, IoT is original. You can put it together any way you want because no one else has ever done that before. It's yours to construct, okay. You don't even have to transform it into a schema because you're creating the new application. But the most important thing is you have to take care of it 'cause if you lose it, it's gone. It's the original data. It's the same way, in operational systems for a long long time we've always been concerned about backup and security and everything else. You better believe this is a problem. I know a lot of people think about streaming data, that we're going to look at it for a minute, and we're going to throw most of it away. Personally I don't think that's going to happen. I think it's all going to be saved, at least for a while. Now, the governance and security, oh, by the way, I don't know where you're going to find a presentation where somebody uses a newspaper clipping about Vladimir Lenin, but here it is, enjoy yourselves. I believe that when people think about governance and security today they're still thinking along the same grids that we thought about it all along. But this is very very different and again, I'm sorry I keep thrashing this around, but this is treasured data that has to be carefully taken care of. Now when I say governance, my experience has been over the years that governance is something that IT does to make everybody's lives miserable. But that's not what I mean by governance today. It means a comprehensive program to really secure the value of the data as an asset. And you need to think about this differently. Now the other thing is you may not get to think about it differently, because some of the stuff may end up being subject to regulation. And if the regulators start regulating some of this, then that'll take some of the degrees of freedom away from you in how you put this together, but you know, that's the way it works. Now, machine learning, I think I told somebody the other day that claims about machine learning in software products are as common as twisters in trail parks. And a lot of it is not really what I'd call machine learning. But there's a lot of it around. And I think all of the open source machine learning and artificial intelligence that's popped up, it's great because all those math PhDs who work at Home Depot now have something to do when they go home at night and they construct this stuff. But if you're going to have machine learning at the Edge, here's the question, what kind of machine learning would you have at the Edge? As opposed to developing your models back at say, the cloud, when you transmit the data there. The devices at the Edge are not very powerful. And they don't have a lot of memory. So you're only going to be able to do things that have been modeled or constructed somewhere else. But that's okay. Because machine learning algorithm development is actually slow and painful. So you really want the people who know how to do this working with gobs of data creating models and testing them offline. And when you have something that works, you can put it there. Now there's one thing I want to talk about before I finish, and I think I'm almost finished. I wrote a book about 10 years ago about automated decision making and the conclusion that I came up with was that little decisions add up, and that's good. But it also means you don't have to get them all right. But you don't want computers or software making decisions unattended if it involves human life, or frankly any life. Or the environment. So when you think about the applications that you can build using this architecture and this technology, think about the fact that you're not going to be doing air traffic control, you're not going to be monitoring crossing guards at the elementary school. You're going to be doing things that may seem fairly mundane. Managing machinery on the factory floor, I mean that may sound great, but really isn't that interesting. Managing well heads, drilling for oil, well I mean, it's great to the extent that it doesn't cause wells to explode, but they don't usually explode. What it's usually used for is to drive the cost out of preventative maintenance. Not very interesting. So use your heads. Come up with really cool stuff. And any of you who are involved in Edge Analytics, the next time I talk to you I don't want to hear about the same five applications that everybody talks about. Let's hear about some new ones. So, in conclusion, I don't really have anything in conclusion except that Peter mentioned something about limousines bringing people up here. On Monday I was slogging up and down Park Avenue and Madison Avenue with my client and we were visiting all the hedge funds there because we were doing a project with them. And in the miserable weather I looked at him and I said, for godsake Paul, where's the black car? And he said, that was the 90s. (laughs) Thank you. So, Jim, up to you. (audience applauding) This is terrible, go that way, this was terrible coming that way. >> Woo, don't want to trip! And let's move to, there we go. Hi everybody, how ya doing? Thanks Neil, thanks Peter, those were great discussions. So I'm the third leg in this relay race here, talking about of course how software is eating the world. And focusing on the value of Edge Analytics in a lot of real world scenarios. Programming the real world for, to make the world a better place. So I will talk, I'll break it out analytically in terms of the research that Wikibon is doing in the area of the IoT, but specifically how AI intelligence is being embedded really to all material reality potentially at the Edge. But mobile applications and industrial IoT and the smart appliances and self driving vehicles. I will break it out in terms of a reference architecture for understanding what functions are being pushed to the Edge to hardware, to our phones and so forth to drive various scenarios in terms of real world results. So I'll move a pace here. So basically AI software or AI microservices are being infused into Edge hardware as we speak. What we see is more vendors of smart phones and other, real world appliances and things like smart driving, self driving vehicles. What they're doing is they're instrumenting their products with computer vision and natural language processing, environmental awareness based on sensing and actuation and those capabilities and inferences that these devices just do to both provide human support for human users of these devices as well as to enable varying degrees of autonomous operation. So what I'll be talking about is how AI is a foundation for data driven systems of agency of the sort that Peter is talking about. Infusing data driven intelligence into everything or potentially so. As more of this capability, all these algorithms for things like, ya know for doing real time predictions and classifications, anomaly detection and so forth, as this functionality gets diffused widely and becomes more commoditized, you'll see it burned into an ever-wider variety of hardware architecture, neuro synaptic chips, GPUs and so forth. So what I've got here in front of you is a sort of a high level reference architecture that we're building up in our research at Wikibon. So AI, artificial intelligence is a big term, a big paradigm, I'm not going to unpack it completely. Of course we don't have oodles of time so I'm going to take you fairly quickly through the high points. It's a driver for systems of agency. Programming the real world. Transducing digital inputs, the data, to analog real world results. Through the embedding of this capability in the IoT, but pushing more and more of it out to the Edge with points of decision and action in real time. And there are four capabilities that we're seeing in terms of AI enabled, enabling capabilities that are absolutely critical to software being pushed to the Edge are sensing, actuation, inference and Learning. Sensing and actuation like Peter was describing, it's about capturing data from the environment within which a device or users is operating or moving. And then actuation is the fancy term for doing stuff, ya know like industrial IoT, it's obviously machine controlled, but clearly, you know self driving vehicles is steering a vehicle and avoiding crashing and so forth. Inference is the meat and potatoes as it were of AI. Analytics does inferences. It infers from the data, the logic of the application. Predictive logic, correlations, classification, abstractions, differentiation, anomaly detection, recognizing faces and voices. We see that now with Apple and the latest version of the iPhone is embedding face recognition as a core, as the core multifactor authentication technique. Clearly that's a harbinger of what's going to be universal fairly soon which is that depends on AI. That depends on convolutional neural networks, that is some heavy hitting processing power that's necessary and it's processing the data that's coming from your face. So that's critically important. So what we're looking at then is the AI software is taking root in hardware to power continuous agency. Getting stuff done. Powered decision support by human beings who have to take varying degrees of action in various environments. We don't necessarily want to let the car steer itself in all scenarios, we want some degree of override, for lots of good reasons. They want to protect life and limb including their own. And just more data driven automation across the internet of things in the broadest sense. So unpacking this reference framework, what's happening is that AI driven intelligence is powering real time decisioning at the Edge. Real time local sensing from the data that it's capturing there, it's ingesting the data. Some, not all of that data, may be persistent at the Edge. Some, perhaps most of it, will be pushed into the cloud for other processing. When you have these highly complex algorithms that are doing AI deep learning, multilayer, to do a variety of anti-fraud and higher level like narrative, auto-narrative roll-ups from various scenes that are unfolding. A lot of this processing is going to begin to happen in the cloud, but a fair amount of the more narrowly scoped inferences that drive real time decision support at the point of action will be done on the device itself. Contextual actuation, so it's the sensor data that's captured by the device along with other data that may be coming down in real time streams through the cloud will provide the broader contextual envelope of data needed to drive actuation, to drive various models and rules and so forth that are making stuff happen at the point of action, at the Edge. Continuous inference. What it all comes down to is that inference is what's going on inside the chips at the Edge device. And what we're seeing is a growing range of hardware architectures, GPUs, CPUs, FPGAs, ASIC, Neuro synaptic chips of all sorts playing in various combinations that are automating more and more very complex inference scenarios at the Edge. And not just individual devices, swarms of devices, like drones and so forth are essentially an Edge unto themselves. You'll see these tiered hierarchies of Edge swarms that are playing and doing inferences of ever more complex dynamic nature. And much of this will be, this capability, the fundamental capabilities that is powering them all will be burned into the hardware that powers them. And then adaptive learning. Now I use the term learning rather than training here, training is at the core of it. Training means everything in terms of the predictive fitness or the fitness of your AI services for whatever task, predictions, classifications, face recognition that you, you've built them for. But I use the term learning in a broader sense. It's what's make your inferences get better and better, more accurate over time is that you're training them with fresh data in a supervised learning environment. But you can have reinforcement learning if you're doing like say robotics and you don't have ground truth against which to train the data set. You know there's maximize a reward function versus minimize a loss function, you know, the standard approach, the latter for supervised learning. There's also, of course, the issue, or not the issue, the approach of unsupervised learning with cluster analysis critically important in a lot of real world scenarios. So Edge AI Algorithms, clearly, deep learning which is multilayered machine learning models that can do abstractions at higher and higher levels. Face recognition is a high level abstraction. Faces in a social environment is an even higher level of abstraction in terms of groups. Faces over time and bodies and gestures, doing various things in various environments is an even higher level abstraction in terms of narratives that can be rolled up, are being rolled up by deep learning capabilities of great sophistication. Convolutional neural networks for processing images, recurrent neural networks for processing time series. Generative adversarial networks for doing essentially what's called generative applications of all sort, composing music, and a lot of it's being used for auto programming. These are all deep learning. There's a variety of other algorithm approaches I'm not going to bore you with here. Deep learning is essentially the enabler of the five senses of the IoT. Your phone's going to have, has a camera, it has a microphone, it has the ability to of course, has geolocation and navigation capabilities. It's environmentally aware, it's got an accelerometer and so forth embedded therein. The reason that your phone and all of the devices are getting scary sentient is that they have the sensory modalities and the AI, the deep learning that enables them to make environmentally correct decisions in the wider range of scenarios. So machine learning is the foundation of all of this, but there are other, I mean of deep learning, artificial neural networks is the foundation of that. But there are other approaches for machine learning I want to make you aware of because support vector machines and these other established approaches for machine learning are not going away but really what's driving the show now is deep learning, because it's scary effective. And so that's where most of the investment in AI is going into these days for deep learning. AI Edge platforms, tools and frameworks are just coming along like gangbusters. Much development of AI, of deep learning happens in the context of your data lake. This is where you're storing your training data. This is the data that you use to build and test to validate in your models. So we're seeing a deepening stack of Hadoop and there's Kafka, and Spark and so forth that are driving the training (coughs) excuse me, of AI models that are power all these Edge Analytic applications so that that lake will continue to broaden in terms, and deepen in terms of a scope and the range of data sets and the range of modeling, AI modeling supports. Data science is critically important in this scenario because the data scientist, the data science teams, the tools and techniques and flows of data science are the fundamental development paradigm or discipline or capability that's being leveraged to build and to train and to deploy and iterate all this AI that's being pushed to the Edge. So clearly data science is at the center, data scientists of an increasingly specialized nature are necessary to the realization to this value at the Edge. AI frameworks are coming along like you know, a mile a minute. TensorFlow has achieved a, is an open source, most of these are open source, has achieved sort of almost like a defacto standard, status, I'm using the word defacto in air quotes. There's Theano and Keras and xNet and CNTK and a variety of other ones. We're seeing range of AI frameworks come to market, most open source. Most are supported by most of the major tool vendors as well. So at Wikibon we're definitely tracking that, we plan to go deeper in our coverage of that space. And then next best action, powers recommendation engines. I mean next best action decision automation of the sort of thing Neil's covered in a variety of contexts in his career is fundamentally important to Edge Analytics to systems of agency 'cause it's driving the process automation, decision automation, sort of the targeted recommendations that are made at the Edge to individual users as well as to process that automation. That's absolutely necessary for self driving vehicles to do their jobs and industrial IoT. So what we're seeing is more and more recommendation engine or recommender capabilities powered by ML and DL are going to the Edge, are already at the Edge for a variety of applications. Edge AI capabilities, like I said, there's sensing. And sensing at the Edge is becoming ever more rich, mixed reality Edge modalities of all sort are for augmented reality and so forth. We're just seeing a growth in certain, the range of sensory modalities that are enabled or filtered and analyzed through AI that are being pushed to the Edge, into the chip sets. Actuation, that's where robotics comes in. Robotics is coming into all aspects of our lives. And you know, it's brainless without AI, without deep learning and these capabilities. Inference, autonomous edge decisioning. Like I said, it's, a growing range of inferences that are being done at the Edge. And that's where it has to happen 'cause that's the point of decision. Learning, training, much training, most training will continue to be done in the cloud because it's very data intensive. It's a grind to train and optimize an AI algorithm to do its job. It's not something that you necessarily want to do or can do at the Edge at Edge devices so, the models that are built and trained in the cloud are pushed down through a dev ops process down to the Edge and that's the way it will work pretty much in most AI environments, Edge analytics environments. You centralize the modeling, you decentralize the execution of the inference models. The training engines will be in the cloud. Edge AI applications. I'll just run you through sort of a core list of the ones that are coming into, already come into the mainstream at the Edge. Multifactor authentication, clearly the Apple announcement of face recognition is just a harbinger of the fact that that's coming to every device. Computer vision speech recognition, NLP, digital assistance and chat bots powered by natural language processing and understanding, it's all AI powered. And it's becoming very mainstream. Emotion detection, face recognition, you know I could go on and on but these are like the core things that everybody has access to or will by 2020 and they're core devices, mass market devices. Developers, designers and hardware engineers are coming together to pool their expertise to build and train not just the AI, but also the entire package of hardware in UX and the orchestration of real world business scenarios or life scenarios that all this intelligence, the submitted intelligence enables and most, much of what they build in terms of AI will be containerized as micro services through Docker and orchestrated through Kubernetes as full cloud services in an increasingly distributed fabric. That's coming along very rapidly. We can see a fair amount of that already on display at Strata in terms of what the vendors are doing or announcing or who they're working with. The hardware itself, the Edge, you know at the Edge, some data will be persistent, needs to be persistent to drive inference. That's, and you know to drive a variety of different application scenarios that need some degree of historical data related to what that device in question happens to be sensing or has sensed in the immediate past or you know, whatever. The hardware itself is geared towards both sensing and increasingly persistence and Edge driven actuation of real world results. The whole notion of drones and robotics being embedded into everything that we do. That's where that comes in. That has to be powered by low cost, low power commodity chip sets of various sorts. What we see right now in terms of chip sets is it's a GPUs, Nvidia has gone real far and GPUs have come along very fast in terms of power inference engines, you know like the Tesla cars and so forth. But GPUs are in many ways the core hardware sub straight for in inference engines in DL so far. But to become a mass market phenomenon, it's got to get cheaper and lower powered and more commoditized, and so we see a fair number of CPUs being used as the hardware for Edge Analytic applications. Some vendors are fairly big on FPGAs, I believe Microsoft has gone fairly far with FPGAs inside DL strategy. ASIC, I mean, there's neuro synaptic chips like IBM's got one. There's at least a few dozen vendors of neuro synaptic chips on the market so at Wikibon we're going to track that market as it develops. And what we're seeing is a fair number of scenarios where it's a mixed environment where you use one chip set architecture at the inference side of the Edge, and other chip set architectures that are driving the DL as processed in the cloud, playing together within a common architecture. And we see some, a fair number of DL environments where the actual training is done in the cloud on Spark using CPUs and parallelized in memory, but pushing Tensorflow models that might be trained through Spark down to the Edge where the inferences are done in FPGAs and GPUs. Those kinds of mixed hardware scenarios are very, very, likely to be standard going forward in lots of areas. So analytics at the Edge power continuous results is what it's all about. The whole point is really not moving the data, it's putting the inference at the Edge and working from the data that's already captured and persistent there for the duration of whatever action or decision or result needs to be powered from the Edge. Like Neil said cost takeout alone is not worth doing. Cost takeout alone is not the rationale for putting AI at the Edge. It's getting new stuff done, new kinds of things done in an automated consistent, intelligent, contextualized way to make our lives better and more productive. Security and governance are becoming more important. Governance of the models, governance of the data, governance in a dev ops context in terms of version controls over all those DL models that are built, that are trained, that are containerized and deployed. Continuous iteration and improvement of those to help them learn to do, make our lives better and easier. With that said, I'm going to hand it over now. It's five minutes after the hour. We're going to get going with the Influencer Panel so what we'd like to do is I call Peter, and Peter's going to call our influencers. >> All right, am I live yet? Can you hear me? All right so, we've got, let me jump back in control here. We've got, again, the objective here is to have community take on some things. And so what we want to do is I want to invite five other people up, Neil why don't you come on up as well. Start with Neil. You can sit here. On the far right hand side, Judith, Judith Hurwitz. >> Neil: I'm glad I'm on the left side. >> From the Hurwitz Group. >> From the Hurwitz Group. Jennifer Shin who's affiliated with UC Berkeley. Jennifer are you here? >> She's here, Jennifer where are you? >> She was here a second ago. >> Neil: I saw her walk out she may have, >> Peter: All right, she'll be back in a second. >> Here's Jennifer! >> Here's Jennifer! >> Neil: With 8 Path Solutions, right? >> Yep. >> Yeah 8 Path Solutions. >> Just get my mic. >> Take your time Jen. >> Peter: All right, Stephanie McReynolds. Far left. And finally Joe Caserta, Joe come on up. >> Stephie's with Elysian >> And to the left. So what I want to do is I want to start by having everybody just go around introduce yourself quickly. Judith, why don't we start there. >> I'm Judith Hurwitz, I'm president of Hurwitz and Associates. We're an analyst research and fault leadership firm. I'm the co-author of eight books. Most recent is Cognitive Computing and Big Data Analytics. I've been in the market for a couple years now. >> Jennifer. >> Hi, my name's Jennifer Shin. I'm the founder and Chief Data Scientist 8 Path Solutions LLC. We do data science analytics and technology. We're actually about to do a big launch next month, with Box actually. >> We're apparent, are we having a, sorry Jennifer, are we having a problem with Jennifer's microphone? >> Man: Just turn it back on? >> Oh you have to turn it back on. >> It was on, oh sorry, can you hear me now? >> Yes! We can hear you now. >> Okay, I don't know how that turned back off, but okay. >> So you got to redo all that Jen. >> Okay, so my name's Jennifer Shin, I'm founder of 8 Path Solutions LLC, it's a data science analytics and technology company. I founded it about six years ago. So we've been developing some really cool technology that we're going to be launching with Box next month. It's really exciting. And I have, I've been developing a lot of patents and some technology as well as teaching at UC Berkeley as a lecturer in data science. >> You know Jim, you know Neil, Joe, you ready to go? >> Joe: Just broke my microphone. >> Joe's microphone is broken. >> Joe: Now it should be all right. >> Jim: Speak into Neil's. >> Joe: Hello, hello? >> I just feel not worthy in the presence of Joe Caserta. (several laughing) >> That's right, master of mics. If you can hear me, Joe Caserta, so yeah, I've been doing data technology solutions since 1986, almost as old as Neil here, but been doing specifically like BI, data warehousing, business intelligence type of work since 1996. And been doing, wholly dedicated to Big Data solutions and modern data engineering since 2009. Where should I be looking? >> Yeah I don't know where is the camera? >> Yeah, and that's basically it. So my company was formed in 2001, it's called Caserta Concepts. We recently rebranded to only Caserta 'cause what we do is way more than just concepts. So we conceptualize the stuff, we envision what the future brings and we actually build it. And we help clients large and small who are just, want to be leaders in innovation using data specifically to advance their business. >> Peter: And finally Stephanie McReynolds. >> I'm Stephanie McReynolds, I had product marketing as well as corporate marketing for a company called Elysian. And we are a data catalog so we help bring together not only a technical understanding of your data, but we curate that data with human knowledge and use automated intelligence internally within the system to make recommendations about what data to use for decision making. And some of our customers like City of San Diego, a large automotive manufacturer working on self driving cars and General Electric use Elysian to help power their solutions for IoT at the Edge. >> All right so let's jump right into it. And again if you have a question, raise your hand, and we'll do our best to get it to the floor. But what I want to do is I want to get seven questions in front of this group and have you guys discuss, slog, disagree, agree. Let's start here. What is the relationship between Big Data AI and IoT? Now Wikibon's put forward its observation that data's being generated at the Edge, that action is being taken at the Edge and then increasingly the software and other infrastructure architectures need to accommodate the realities of how data is going to work in these very complex systems. That's our perspective. Anybody, Judith, you want to start? >> Yeah, so I think that if you look at AI machine learning, all these different areas, you have to be able to have the data learned. Now when it comes to IoT, I think one of the issues we have to be careful about is not all data will be at the Edge. Not all data needs to be analyzed at the Edge. For example if the light is green and that's good and it's supposed to be green, do you really have to constantly analyze the fact that the light is green? You actually only really want to be able to analyze and take action when there's an anomaly. Well if it goes purple, that's actually a sign that something might explode, so that's where you want to make sure that you have the analytics at the edge. Not for everything, but for the things where there is an anomaly and a change. >> Joe, how about from your perspective? >> For me I think the evolution of data is really becoming, eventually oxygen is just, I mean data's going to be the oxygen we breathe. It used to be very very reactive and there used to be like a latency. You do something, there's a behavior, there's an event, there's a transaction, and then you go record it and then you collect it, and then you can analyze it. And it was very very waterfallish, right? And then eventually we figured out to put it back into the system. Or at least human beings interpret it to try to make the system better and that is really completely turned on it's head, we don't do that anymore. Right now it's very very, it's synchronous, where as we're actually making these transactions, the machines, we don't really need, I mean human beings are involved a bit, but less and less and less. And it's just a reality, it may not be politically correct to say but it's a reality that my phone in my pocket is following my behavior, and it knows without telling a human being what I'm doing. And it can actually help me do things like get to where I want to go faster depending on my preference if I want to save money or save time or visit things along the way. And I think that's all integration of big data, streaming data, artificial intelligence and I think the next thing that we're going to start seeing is the culmination of all of that. I actually, hopefully it'll be published soon, I just wrote an article for Forbes with the term of ARBI and ARBI is the integration of Augmented Reality and Business Intelligence. Where I think essentially we're going to see, you know, hold your phone up to Jim's face and it's going to recognize-- >> Peter: It's going to break. >> And it's going to say exactly you know, what are the key metrics that we want to know about Jim. If he works on my sales force, what's his attainment of goal, what is-- >> Jim: Can it read my mind? >> Potentially based on behavior patterns. >> Now I'm scared. >> I don't think Jim's buying it. >> It will, without a doubt be able to predict what you've done in the past, you may, with some certain level of confidence you may do again in the future, right? And is that mind reading? It's pretty close, right? >> Well, sometimes, I mean, mind reading is in the eye of the individual who wants to know. And if the machine appears to approximate what's going on in the person's head, sometimes you can't tell. So I guess, I guess we could call that the Turing machine test of the paranormal. >> Well, face recognition, micro gesture recognition, I mean facial gestures, people can do it. Maybe not better than a coin toss, but if it can be seen visually and captured and analyzed, conceivably some degree of mind reading can be built in. I can see when somebody's angry looking at me so, that's a possibility. That's kind of a scary possibility in a surveillance society, potentially. >> Neil: Right, absolutely. >> Peter: Stephanie, what do you think? >> Well, I hear a world of it's the bots versus the humans being painted here and I think that, you know at Elysian we have a very strong perspective on this and that is that the greatest impact, or the greatest results is going to be when humans figure out how to collaborate with the machines. And so yes, you want to get to the location more quickly, but the machine as in the bot isn't able to tell you exactly what to do and you're just going to blindly follow it. You need to train that machine, you need to have a partnership with that machine. So, a lot of the power, and I think this goes back to Judith's story is then what is the human decision making that can be augmented with data from the machine, but then the humans are actually training the training side and driving machines in the right direction. I think that's when we get true power out of some of these solutions so it's not just all about the technology. It's not all about the data or the AI, or the IoT, it's about how that empowers human systems to become smarter and more effective and more efficient. And I think we're playing that out in our technology in a certain way and I think organizations that are thinking along those lines with IoT are seeing more benefits immediately from those projects. >> So I think we have a general agreement of what kind of some of the things you talked about, IoT, crucial capturing information, and then having action being taken, AI being crucial to defining and refining the nature of the actions that are being taken Big Data ultimately powering how a lot of that changes. Let's go to the next one. >> So actually I have something to add to that. So I think it makes sense, right, with IoT, why we have Big Data associated with it. If you think about what data is collected by IoT. We're talking about a serial information, right? It's over time, it's going to grow exponentially just by definition, right, so every minute you collect a piece of information that means over time, it's going to keep growing, growing, growing as it accumulates. So that's one of the reasons why the IoT is so strongly associated with Big Data. And also why you need AI to be able to differentiate between one minute versus next minute, right? Trying to find a better way rather than looking at all that information and manually picking out patterns. To have some automated process for being able to filter through that much data that's being collected. >> I want to point out though based on what you just said Jennifer, I want to bring Neil in at this point, that this question of IoT now generating unprecedented levels of data does introduce this idea of the primary source. Historically what we've done within technology, or within IT certainly is we've taken stylized data. There is no such thing as a real world accounting thing. It is a human contrivance. And we stylize data and therefore it's relatively easy to be very precise on it. But when we start, as you noted, when we start measuring things with a tolerance down to thousandths of a millimeter, whatever that is, metric system, now we're still sometimes dealing with errors that we have to attend to. So, the reality is we're not just dealing with stylized data, we're dealing with real data, and it's more, more frequent, but it also has special cases that we have to attend to as in terms of how we use it. What do you think Neil? >> Well, I mean, I agree with that, I think I already said that, right. >> Yes you did, okay let's move on to the next one. >> Well it's a doppelganger, the digital twin doppelganger that's automatically created by your very fact that you're living and interacting and so forth and so on. It's going to accumulate regardless. Now that doppelganger may not be your agent, or might not be the foundation for your agent unless there's some other piece of logic like an interest graph that you build, a human being saying this is my broad set of interests, and so all of my agents out there in the IoT, you all need to be aware that when you make a decision on my behalf as my agent, this is what Jim would do. You know I mean there needs to be that kind of logic somewhere in this fabric to enable true agency. >> All right, so I'm going to start with you. Oh go ahead. >> I have a real short answer to this though. I think that Big Data provides the data and compute platform to make AI possible. For those of us who dipped our toes in the water in the 80s, we got clobbered because we didn't have the, we didn't have the facilities, we didn't have the resources to really do AI, we just kind of played around with it. And I think that the other thing about it is if you combine Big Data and AI and IoT, what you're going to see is people, a lot of the applications we develop now are very inward looking, we look at our organization, we look at our customers. We try to figure out how to sell more shoes to fashionable ladies, right? But with this technology, I think people can really expand what they're thinking about and what they model and come up with applications that are much more external. >> Actually what I would add to that is also it actually introduces being able to use engineering, right? Having engineers interested in the data. Because it's actually technical data that's collected not just say preferences or information about people, but actual measurements that are being collected with IoT. So it's really interesting in the engineering space because it opens up a whole new world for the engineers to actually look at data and to actually combine both that hardware side as well as the data that's being collected from it. >> Well, Neil, you and I have talked about something, 'cause it's not just engineers. We have in the healthcare industry for example, which you know a fair amount about, there's this notion of empirical based management. And the idea that increasingly we have to be driven by data as a way of improving the way that managers do things, the way the managers collect or collaborate and ultimately collectively how they take action. So it's not just engineers, it's supposed to also inform business, what's actually happening in the healthcare world when we start thinking about some of this empirical based management, is it working? What are some of the barriers? >> It's not a function of technology. What happens in medicine and healthcare research is, I guess you can say it borders on fraud. (people chuckling) No, I'm not kidding. I know the New England Journal of Medicine a couple of years ago released a study and said that at least half their articles that they published turned out to be written, ghost written by pharmaceutical companies. (man chuckling) Right, so I think the problem is that when you do a clinical study, the one that really killed me about 10 years ago was the women's health initiative. They spent $700 million gathering this data over 20 years. And when they released it they looked at all the wrong things deliberately, right? So I think that's a systemic-- >> I think you're bringing up a really important point that we haven't brought up yet, and that is is can you use Big Data and machine learning to begin to take the biases out? So if you let the, if you divorce your preconceived notions and your biases from the data and let the data lead you to the logic, you start to, I think get better over time, but it's going to take a while to get there because we do tend to gravitate towards our biases. >> I will share an anecdote. So I had some arm pain, and I had numbness in my thumb and pointer finger and I went to, excruciating pain, went to the hospital. So the doctor examined me, and he said you probably have a pinched nerve, he said, but I'm not exactly sure which nerve it would be, I'll be right back. And I kid you not, he went to a computer and he Googled it. (Neil laughs) And he came back because this little bit of information was something that could easily be looked up, right? Every nerve in your spine is connected to your different fingers so the pointer and the thumb just happens to be your C6, so he came back and said, it's your C6. (Neil mumbles) >> You know an interesting, I mean that's a good example. One of the issues with healthcare data is that the data set is not always shared across the entire research community, so by making Big Data accessible to everyone, you actually start a more rational conversation or debate on well what are the true insights-- >> If that conversation includes what Judith talked about, the actual model that you use to set priorities and make decisions about what's actually important. So it's not just about improving, this is the test. It's not just about improving your understanding of the wrong thing, it's also testing whether it's the right or wrong thing as well. >> That's right, to be able to test that you need to have humans in dialog with one another bringing different biases to the table to work through okay is there truth in this data? >> It's context and it's correlation and you can have a great correlation that's garbage. You know if you don't have the right context. >> Peter: So I want to, hold on Jim, I want to, >> It's exploratory. >> Hold on Jim, I want to take it to the next question 'cause I want to build off of what you talked about Stephanie and that is that this says something about what is the Edge. And our perspective is that the Edge is not just devices. That when we talk about the Edge, we're talking about human beings and the role that human beings are going to play both as sensors or carrying things with them, but also as actuators, actually taking action which is not a simple thing. So what do you guys think? What does the Edge mean to you? Joe, why don't you start? >> Well, I think it could be a combination of the two. And specifically when we talk about healthcare. So I believe in 2017 when we eat we don't know why we're eating, like I think we should absolutely by now be able to know exactly what is my protein level, what is my calcium level, what is my potassium level? And then find the foods to meet that. What have I depleted versus what I should have, and eat very very purposely and not by taste-- >> And it's amazing that red wine is always the answer. >> It is. (people laughing) And tequila, that helps too. >> Jim: You're a precision foodie is what you are. (several chuckle) >> There's no reason why we should not be able to know that right now, right? And when it comes to healthcare is, the biggest problem or challenge with healthcare is no matter how great of a technology you have, you can't, you can't, you can't manage what you can't measure. And you're really not allowed to use a lot of this data so you can't measure it, right? You can't do things very very scientifically right, in the healthcare world and I think regulation in the healthcare world is really burdening advancement in science. >> Peter: Any thoughts Jennifer? >> Yes, I teach statistics for data scientists, right, so you know we talk about a lot of these concepts. I think what makes these questions so difficult is you have to find a balance, right, a middle ground. For instance, in the case of are you being too biased through data, well you could say like we want to look at data only objectively, but then there are certain relationships that your data models might show that aren't actually a causal relationship. For instance, if there's an alien that came from space and saw earth, saw the people, everyone's carrying umbrellas right, and then it started to rain. That alien might think well, it's because they're carrying umbrellas that it's raining. Now we know from real world that that's actually not the way these things work. So if you look only at the data, that's the potential risk. That you'll start making associations or saying something's causal when it's actually not, right? So that's one of the, one of the I think big challenges. I think when it comes to looking also at things like healthcare data, right? Do you collect data about anything and everything? Does it mean that A, we need to collect all that data for the question we're looking at? Or that it's actually the best, more optimal way to be able to get to the answer? Meaning sometimes you can take some shortcuts in terms of what data you collect and still get the right answer and not have maybe that level of specificity that's going to cost you millions extra to be able to get. >> So Jennifer as a data scientist, I want to build upon what you just said. And that is, are we going to start to see methods and models emerge for how we actually solve some of these problems? So for example, we know how to build a system for stylized process like accounting or some elements of accounting. We have methods and models that lead to technology and actions and whatnot all the way down to that that system can be generated. We don't have the same notion to the same degree when we start talking about AI and some of these Big Datas. We have algorithms, we have technology. But are we going to start seeing, as a data scientist, repeatability and learning and how to think the problems through that's going to lead us to a more likely best or at least good result? >> So I think that's a bit of a tough question, right? Because part of it is, it's going to depend on how many of these researchers actually get exposed to real world scenarios, right? Research looks into all these papers, and you come up with all these models, but if it's never tested in a real world scenario, well, I mean we really can't validate that it works, right? So I think it is dependent on how much of this integration there's going to be between the research community and industry and how much investment there is. Funding is going to matter in this case. If there's no funding in the research side, then you'll see a lot of industry folk who feel very confident about their models that, but again on the other side of course, if researchers don't validate those models then you really can't say for sure that it's actually more accurate, or it's more efficient. >> It's the issue of real world testing and experimentation, A B testing, that's standard practice in many operationalized ML and AI implementations in the business world, but real world experimentation in the Edge analytics, what you're actually transducing are touching people's actual lives. Problem there is, like in healthcare and so forth, when you're experimenting with people's lives, somebody's going to die. I mean, in other words, that's a critical, in terms of causal analysis, you've got to tread lightly on doing operationalizing that kind of testing in the IoT when people's lives and health are at stake. >> We still give 'em placebos. So we still test 'em. All right so let's go to the next question. What are the hottest innovations in AI? Stephanie I want to start with you as a company, someone at a company that's got kind of an interesting little thing happening. We start thinking about how do we better catalog data and represent it to a large number of people. What are some of the hottest innovations in AI as you see it? >> I think it's a little counter intuitive about what the hottest innovations are in AI, because we're at a spot in the industry where the most successful companies that are working with AI are actually incorporating them into solutions. So the best AI solutions are actually the products that you don't know there's AI operating underneath. But they're having a significant impact on business decision making or bringing a different type of application to the market and you know, I think there's a lot of investment that's going into AI tooling and tool sets for data scientists or researchers, but the more innovative companies are thinking through how do we really take AI and make it have an impact on business decision making and that means kind of hiding the AI to the business user. Because if you think a bot is making a decision instead of you, you're not going to partner with that bot very easily or very readily. I worked at, way at the start of my career, I worked in CRM when recommendation engines were all the rage online and also in call centers. And the hardest thing was to get a call center agent to actually read the script that the algorithm was presenting to them, that algorithm was 99% correct most of the time, but there was this human resistance to letting a computer tell you what to tell that customer on the other side even if it was more successful in the end. And so I think that the innovation in AI that's really going to push us forward is when humans feel like they can partner with these bots and they don't think of it as a bot, but they think about as assisting their work and getting to a better result-- >> Hence the augmentation point you made earlier. >> Absolutely, absolutely. >> Joe how 'about you? What do you look at? What are you excited about? >> I think the coolest thing at the moment right now is chat bots. Like to be able, like to have voice be able to speak with you in natural language, to do that, I think that's pretty innovative, right? And I do think that eventually, for the average user, not for techies like me, but for the average user, I think keyboards are going to be a thing of the past. I think we're going to communicate with computers through voice and I think this is the very very beginning of that and it's an incredible innovation. >> Neil? >> Well, I think we all have myopia here. We're all thinking about commercial applications. Big, big things are happening with AI in the intelligence community, in military, the defense industry, in all sorts of things. Meteorology. And that's where, well, hopefully not on an every day basis with military, you really see the effect of this. But I was involved in a project a couple of years ago where we were developing AI software to detect artillery pieces in terrain from satellite imagery. I don't have to tell you what country that was. I think you can probably figure that one out right? But there are legions of people in many many companies that are involved in that industry. So if you're talking about the dollars spent on AI, I think the stuff that we do in our industries is probably fairly small. >> Well it reminds me of an application I actually thought was interesting about AI related to that, AI being applied to removing mines from war zones. >> Why not? >> Which is not a bad thing for a whole lot of people. Judith what do you look at? >> So I'm looking at things like being able to have pre-trained data sets in specific solution areas. I think that that's something that's coming. Also the ability to, to really be able to have a machine assist you in selecting the right algorithms based on what your data looks like and the problems you're trying to solve. Some of the things that data scientists still spend a lot of their time on, but can be augmented with some, basically we have to move to levels of abstraction before this becomes truly ubiquitous across many different areas. >> Peter: Jennifer? >> So I'm going to say computer vision. >> Computer vision? >> Computer vision. So computer vision ranges from image recognition to be able to say what content is in the image. Is it a dog, is it a cat, is it a blueberry muffin? Like a sort of popular post out there where it's like a blueberry muffin versus like I think a chihuahua and then it compares the two. And can the AI really actually detect difference, right? So I think that's really where a lot of people who are in this space of being in both the AI space as well as data science are looking to for the new innovations. I think, for instance, cloud vision I think that's what Google still calls it. The vision API we've they've released on beta allows you to actually use an API to send your image and then have it be recognized right, by their API. There's another startup in New York called Clarify that also does a similar thing as well as you know Amazon has their recognition platform as well. So I think in a, from images being able to detect what's in the content as well as from videos, being able to say things like how many people are entering a frame? How many people enter the store? Not having to actually go look at it and count it, but having a computer actually tally that information for you, right? >> There's actually an extra piece to that. So if I have a picture of a stop sign, and I'm an automated car, and is it a picture on the back of a bus of a stop sign, or is it a real stop sign? So that's going to be one of the complications. >> Doesn't matter to a New York City cab driver. How 'about you Jim? >> Probably not. (laughs) >> Hottest thing in AI is General Adversarial Networks, GANT, what's hot about that, well, I'll be very quick, most AI, most deep learning, machine learning is analytical, it's distilling or inferring insights from the data. Generative takes that same algorithmic basis but to build stuff. In other words, to create realistic looking photographs, to compose music, to build CAD CAM models essentially that can be constructed on 3D printers. So GANT, it's a huge research focus all around the world are used for, often increasingly used for natural language generation. In other words it's institutionalizing or having a foundation for nailing the Turing test every single time, building something with machines that looks like it was constructed by a human and doing it over and over again to fool humans. I mean you can imagine the fraud potential. But you can also imagine just the sheer, like it's going to shape the world, GANT. >> All right so I'm going to say one thing, and then we're going to ask if anybody in the audience has an idea. So the thing that I find interesting is traditional programs, or when you tell a machine to do something you don't need incentives. When you tell a human being something, you have to provide incentives. Like how do you get someone to actually read the text. And this whole question of elements within AI that incorporate incentives as a way of trying to guide human behavior is absolutely fascinating to me. Whether it's gamification, or even some things we're thinking about with block chain and bitcoins and related types of stuff. To my mind that's going to have an enormous impact, some good, some bad. Anybody in the audience? I don't want to lose everybody here. What do you think sir? And I'll try to do my best to repeat it. Oh we have a mic. >> So my question's about, Okay, so the question's pretty much about what Stephanie's talking about which is human and loop training right? I come from a computer vision background. That's the problem, we need millions of images trained, we need humans to do that. And that's like you know, the workforce is essentially people that aren't necessarily part of the AI community, they're people that are just able to use that data and analyze the data and label that data. That's something that I think is a big problem everyone in the computer vision industry at least faces. I was wondering-- >> So again, but the problem is that is the difficulty of methodologically bringing together people who understand it and people who, people who have domain expertise people who have algorithm expertise and working together? >> I think the expertise issue comes in healthcare, right? In healthcare you need experts to be labeling your images. With contextual information where essentially augmented reality applications coming in, you have the AR kit and everything coming out, but there is a lack of context based intelligence. And all of that comes through training images, and all of that requires people to do it. And that's kind of like the foundational basis of AI coming forward is not necessarily an algorithm, right? It's how well are datas labeled? Who's doing the labeling and how do we ensure that it happens? >> Great question. So for the panel. So if you think about it, a consultant talks about being on the bench. How much time are they going to have to spend on trying to develop additional business? How much time should we set aside for executives to help train some of the assistants? >> I think that the key is not, to think of the problem a different way is that you would have people manually label data and that's one way to solve the problem. But you can also look at what is the natural workflow of that executive, or that individual? And is there a way to gather that context automatically using AI, right? And if you can do that, it's similar to what we do in our product, we observe how someone is analyzing the data and from those observations we can actually create the metadata that then trains the system in a particular direction. But you have to think about solving the problem differently of finding the workflow that then you can feed into to make this labeling easy without the human really realizing that they're labeling the data. >> Peter: Anybody else? >> I'll just add to what Stephanie said, so in the IoT applications, all those sensory modalities, the computer vision, the speech recognition, all that, that's all potential training data. So it cross checks against all the other models that are processing all the other data coming from that device. So that the natural language process of understanding can be reality checked against the images that the person happens to be commenting upon, or the scene in which they're embedded, so yeah, the data's embedded-- >> I don't think we're, we're not at the stage yet where this is easy. It's going to take time before we do start doing the pre-training of some of these details so that it goes faster, but right now, there're not that many shortcuts. >> Go ahead Joe. >> Sorry so a couple things. So one is like, I was just caught up on your incentivizing programs to be more efficient like humans. You know in Ethereum that has this notion, which is bot chain, has this theory, this concept of gas. Where like as the process becomes more efficient it costs less to actually run, right? It costs less ether, right? So it actually is kind of, the machine is actually incentivized and you don't really know what it's going to cost until the machine processes it, right? So there is like some notion of that there. But as far as like vision, like training the machine for computer vision, I think it's through adoption and crowdsourcing, so as people start using it more they're going to be adding more pictures. Very very organically. And then the machines will be trained and right now is a very small handful doing it, and it's very proactive by the Googles and the Facebooks and all of that. But as we start using it, as they start looking at my images and Jim's and Jen's images, it's going to keep getting smarter and smarter through adoption and through very organic process. >> So Neil, let me ask you a question. Who owns the value that's generated as a consequence of all these people ultimately contributing their insight and intelligence into these systems? >> Well, to a certain extent the people who are contributing the insight own nothing because the systems collect their actions and the things they do and then that data doesn't belong to them, it belongs to whoever collected it or whoever's going to do something with it. But the other thing, getting back to the medical stuff. It's not enough to say that the systems, people will do the right thing, because a lot of them are not motivated to do the right thing. The whole grant thing, the whole oh my god I'm not going to go against the senior professor. A lot of these, I knew a guy who was a doctor at University of Pittsburgh and they were doing a clinical study on the tubes that they put in little kids' ears who have ear infections, right? And-- >> Google it! Who helps out? >> Anyway, I forget the exact thing, but he came out and said that the principle investigator lied when he made the presentation, that it should be this, I forget which way it went. He was fired from his position at Pittsburgh and he has never worked as a doctor again. 'Cause he went against the senior line of authority. He was-- >> Another question back here? >> Man: Yes, Mark Turner has a question. >> Not a question, just want to piggyback what you're saying about the transfixation of maybe in healthcare of black and white images and color images in the case of sonograms and ultrasound and mammograms, you see that happening using AI? You see that being, I mean it's already happening, do you see it moving forward in that kind of way? I mean, talk more about that, about you know, AI and black and white images being used and they can be transfixed, they can be made to color images so you can see things better, doctors can perform better operations. >> So I'm sorry, but could you summarize down? What's the question? Summarize it just, >> I had a lot of students, they're interested in the cross pollenization between AI and say the medical community as far as things like ultrasound and sonograms and mammograms and how you can literally take a black and white image and it can, using algorithms and stuff be made to color images that can help doctors better do the work that they've already been doing, just do it better. You touched on it like 30 seconds. >> So how AI can be used to actually add information in a way that's not necessarily invasive but is ultimately improves how someone might respond to it or use it, yes? Related? I've also got something say about medical images in a second, any of you guys want to, go ahead Jennifer. >> Yeah, so for one thing, you know and it kind of goes back to what we were talking about before. When we look at for instance scans, like at some point I was looking at CT scans, right, for lung cancer nodules. In order for me, who I don't have a medical background, to identify where the nodule is, of course, a doctor actually had to go in and specify which slice of the scan had the nodule and where exactly it is, so it's on both the slice level as well as, within that 2D image, where it's located and the size of it. So the beauty of things like AI is that ultimately right now a radiologist has to look at every slice and actually identify this manually, right? The goal of course would be that one day we wouldn't have to have someone look at every slice to like 300 usually slices and be able to identify it much more automated. And I think the reality is we're not going to get something where it's going to be 100%. And with anything we do in the real world it's always like a 95% chance of it being accurate. So I think it's finding that in between of where, what's the threshold that we want to use to be able to say that this is, definitively say a lung cancer nodule or not. I think the other thing to think about is in terms of how their using other information, what they might use is a for instance, to say like you know, based on other characteristics of the person's health, they might use that as sort of a grading right? So you know, how dark or how light something is, identify maybe in that region, the prevalence of that specific variable. So that's usually how they integrate that information into something that's already existing in the computer vision sense. I think that's, the difficulty with this of course, is being able to identify which variables were introduced into data that does exist. >> So I'll make two quick observations on this then I'll go to the next question. One is radiologists have historically been some of the highest paid physicians within the medical community partly because they don't have to be particularly clinical. They don't have to spend a lot of time with patients. They tend to spend time with doctors which means they can do a lot of work in a little bit of time, and charge a fair amount of money. As we start to introduce some of these technologies that allow us to from a machine standpoint actually make diagnoses based on those images, I find it fascinating that you now see television ads promoting the role that the radiologist plays in clinical medicine. It's kind of an interesting response. >> It's also disruptive as I'm seeing more and more studies showing that deep learning models processing images, ultrasounds and so forth are getting as accurate as many of the best radiologists. >> That's the point! >> Detecting cancer >> Now radiologists are saying oh look, we do this great thing in terms of interacting with the patients, never have because they're being dis-intermediated. The second thing that I'll note is one of my favorite examples of that if I got it right, is looking at the images, the deep space images that come out of Hubble. Where they're taking data from thousands, maybe even millions of images and combining it together in interesting ways you can actually see depth. You can actually move through to a very very small scale a system that's 150, well maybe that, can't be that much, maybe six billion light years away. Fascinating stuff. All right so let me go to the last question here, and then I'm going to close it down, then we can have something to drink. What are the hottest, oh I'm sorry, question? >> Yes, hi, my name's George, I'm with Blue Talon. You asked earlier there the question what's the hottest thing in the Edge and AI, I would say that it's security. It seems to me that before you can empower agency you need to be able to authorize what they can act on, how they can act on, who they can act on. So it seems if you're going to move from very distributed data at the Edge and analytics at the Edge, there has to be security similarly done at the Edge. And I saw (speaking faintly) slides that called out security as a key prerequisite and maybe Judith can comment, but I'm curious how security's going to evolve to meet this analytics at the Edge. >> Well, let me do that and I'll ask Jen to comment. The notion of agency is crucially important, slightly different from security, just so we're clear. And the basic idea here is historically folks have thought about moving data or they thought about moving application function, now we are thinking about moving authority. So as you said. That's not necessarily, that's not really a security question, but this has been a problem that's been in, of concern in a number of different domains. How do we move authority with the resources? And that's really what informs the whole agency process. But with that said, Jim. >> Yeah actually I'll, yeah, thank you for bringing up security so identity is the foundation of security. Strong identity, multifactor, face recognition, biometrics and so forth. Clearly AI, machine learning, deep learning are powering a new era of biometrics and you know it's behavioral metrics and so forth that's organic to people's use of devices and so forth. You know getting to the point that Peter was raising is important, agency! Systems of agency. Your agent, you have to, you as a human being should be vouching in a secure, tamper proof way, your identity should be vouching for the identity of some agent, physical or virtual that does stuff on your behalf. How can that, how should that be managed within this increasingly distributed IoT fabric? Well a lot of that's been worked. It all ran through webs of trust, public key infrastructure, formats and you know SAML for single sign and so forth. It's all about assertion, strong assertions and vouching. I mean there's the whole workflows of things. Back in the ancient days when I was actually a PKI analyst three analyst firms ago, I got deep into all the guts of all those federation agreements, something like that has to be IoT scalable to enable systems agency to be truly fluid. So we can vouch for our agents wherever they happen to be. We're going to keep on having as human beings agents all over creation, we're not even going to be aware of everywhere that our agents are, but our identity-- >> It's not just-- >> Our identity has to follow. >> But it's not just identity, it's also authorization and context. >> Permissioning, of course. >> So I may be the right person to do something yesterday, but I'm not authorized to do it in another context in another application. >> Role based permissioning, yeah. Or persona based. >> That's right. >> I agree. >> And obviously it's going to be interesting to see the role that block chain or its follow on to the technology is going to play here. Okay so let me throw one more questions out. What are the hottest applications of AI at the Edge? We've talked about a number of them, does anybody want to add something that hasn't been talked about? Or do you want to get a beer? (people laughing) Stephanie, you raised your hand first. >> I was going to go, I bring something mundane to the table actually because I think one of the most exciting innovations with IoT and AI are actually simple things like City of San Diego is rolling out 3200 automated street lights that will actually help you find a parking space, reduce the amount of emissions into the atmosphere, so has some environmental change, positive environmental change impact. I mean, it's street lights, it's not like a, it's not medical industry, it doesn't look like a life changing innovation, and yet if we automate streetlights and we manage our energy better, and maybe they can flicker on and off if there's a parking space there for you, that's a significant impact on everyone's life. >> And dramatically suppress the impact of backseat driving! >> (laughs) Exactly. >> Joe what were you saying? >> I was just going to say you know there's already the technology out there where you can put a camera on a drone with machine learning within an artificial intelligence within it, and it can look at buildings and determine whether there's rusty pipes and cracks in cement and leaky roofs and all of those things. And that's all based on artificial intelligence. And I think if you can do that, to be able to look at an x-ray and determine if there's a tumor there is not out of the realm of possibility, right? >> Neil? >> I agree with both of them, that's what I meant about external kind of applications. Instead of figuring out what to sell our customers. Which is most what we hear. I just, I think all of those things are imminently doable. And boy street lights that help you find a parking place, that's brilliant, right? >> Simple! >> It improves your life more than, I dunno. Something I use on the internet recently, but I think it's great! That's, I'd like to see a thousand things like that. >> Peter: Jim? >> Yeah, building on what Stephanie and Neil were saying, it's ambient intelligence built into everything to enable fine grain microclimate awareness of all of us as human beings moving through the world. And enable reading of every microclimate in buildings. In other words, you know you have sensors on your body that are always detecting the heat, the humidity, the level of pollution or whatever in every environment that you're in or that you might be likely to move into fairly soon and either A can help give you guidance in real time about where to avoid, or give that environment guidance about how to adjust itself to your, like the lighting or whatever it might be to your specific requirements. And you know when you have a room like this, full of other human beings, there has to be some negotiated settlement. Some will find it too hot, some will find it too cold or whatever but I think that is fundamental in terms of reshaping the sheer quality of experience of most of our lived habitats on the planet potentially. That's really the Edge analytics application that depends on everybody having, being fully equipped with a personal area network of sensors that's communicating into the cloud. >> Jennifer? >> So I think, what's really interesting about it is being able to utilize the technology we do have, it's a lot cheaper now to have a lot of these ways of measuring that we didn't have before. And whether or not engineers can then leverage what we have as ways to measure things and then of course then you need people like data scientists to build the right model. So you can collect all this data, if you don't build the right model that identifies these patterns then all that data's just collected and it's just made a repository. So without having the models that supports patterns that are actually in the data, you're not going to find a better way of being able to find insights in the data itself. So I think what will be really interesting is to see how existing technology is leveraged, to collect data and then how that's actually modeled as well as to be able to see how technology's going to now develop from where it is now, to being able to either collect things more sensitively or in the case of say for instance if you're dealing with like how people move, whether we can build things that we can then use to measure how we move, right? Like how we move every day and then being able to model that in a way that is actually going to give us better insights in things like healthcare and just maybe even just our behaviors. >> Peter: Judith? >> So, I think we also have to look at it from a peer to peer perspective. So I may be able to get some data from one thing at the Edge, but then all those Edge devices, sensors or whatever, they all have to interact with each other because we don't live, we may, in our business lives, act in silos, but in the real world when you look at things like sensors and devices it's how they react with each other on a peer to peer basis. >> All right, before I invite John up, I want to say, I'll say what my thing is, and it's not the hottest. It's the one I hate the most. I hate AI generated music. (people laughing) Hate it. All right, I want to thank all the panelists, every single person, some great commentary, great observations. I want to thank you very much. I want to thank everybody that joined. John in a second you'll kind of announce who's the big winner. But the one thing I want to do is, is I was listening, I learned a lot from everybody, but I want to call out the one comment that I think we all need to remember, and I'm going to give you the award Stephanie. And that is increasing we have to remember that the best AI is probably AI that we don't even know is working on our behalf. The same flip side of that is all of us have to be very cognizant of the idea that AI is acting on our behalf and we may not know it. So, John why don't you come on up. Who won the, whatever it's called, the raffle? >> You won. >> Thank you! >> How 'about a round of applause for the great panel. (audience applauding) Okay we have a put the business cards in the basket, we're going to have that brought up. We're going to have two raffle gifts, some nice Bose headsets and speaker, Bluetooth speaker. Got to wait for that. I just want to say thank you for coming and for the folks watching, this is our fifth year doing our own event called Big Data NYC which is really an extension of the landscape beyond the Big Data world that's Cloud and AI and IoT and other great things happen and great experts and influencers and analysts here. Thanks for sharing your opinion. Really appreciate you taking the time to come out and share your data and your knowledge, appreciate it. Thank you. Where's the? >> Sam's right in front of you. >> There's the thing, okay. Got to be present to win. We saw some people sneaking out the back door to go to a dinner. >> First prize first. >> Okay first prize is the Bose headset. >> Bluetooth and noise canceling. >> I won't look, Sam you got to hold it down, I can see the cards. >> All right. >> Stephanie you won! (Stephanie laughing) Okay, Sawny Cox, Sawny Allie Cox? (audience applauding) Yay look at that! He's here! The bar's open so help yourself, but we got one more. >> Congratulations. Picture right here. >> Hold that I saw you. Wake up a little bit. Okay, all right. Next one is, my kids love this. This is great, great for the beach, great for everything portable speaker, great gift. >> What is it? >> Portable speaker. >> It is a portable speaker, it's pretty awesome. >> Oh you grabbed mine. >> Oh that's one of our guys. >> (lauging) But who was it? >> Can't be related! Ava, Ava, Ava. Okay Gene Penesko (audience applauding) Hey! He came in! All right look at that, the timing's great. >> Another one? (people laughing) >> Hey thanks everybody, enjoy the night, thank Peter Burris, head of research for SiliconANGLE, Wikibon and he great guests and influencers and friends. And you guys for coming in the community. Thanks for watching and thanks for coming. Enjoy the party and some drinks and that's out, that's it for the influencer panel and analyst discussion. Thank you. (logo music)

>> Narrator: Live from San Francisco it's The Cube. Covering Devnet Create 2017. Brought to you by Cisco. >> Welcome back everyone. Live in San Francisco this is The Cube's exclusive coverage of Cisco Systems inaugural DevNet Create event an augmentation, extension and build upon their successful three year old DevNet Developer Program. Our next guest is Amanda Whaley who's the director of development experience at Cisco DevNet. Congratulations Amanda on one DevNet being successful for three years and now your foray into DevNet Create which is some call it the hoodie crowd, the cloud native developers, open source, completely different animal but important. >> Yes. >> From DevNet. >> Absolutely so the hoodie crowd is more my tribe that's my background is from software development and I came to Cisco because I was intrigued when they reached out and said we want to start a developer community, we want to start a developer program. I talked to Suzie Wee for a long time about it and what was interesting to me was there were new problems to solve in developer experience. So we know how to do rest APIs, there's a lot of best practices around how you make those easy for developers to use. How you make very consumable and developer friendly and there's a lot of work to do there but we do know how to do that. When you start adding in hardware so IOT, network devices, infrastructure, collaboration, video, there's a lot of new interesting developer experience problems to solve. So I was really intrigued to join Cisco bringing my software developer background and coming from more the web and startup world, coming into Cisco and trying to tackle what's this new connection of hardware plus software and how do we do the right developer experience around... >> Okay so I have to ask you what was your story, take us through the day in the life as you enter in to Cisco, you have Suzie wooed you in you got into the tractor beam 'cause she's brilliant she's awesome and then you go woah I'm in Cisco. >> Amanda: Yeah! >> You're looking around what was the reaction? >> So what was interesting was so DevNet started three years ago at Cisco live we had our first DevNet developer zone within Cisco Live. That was actually my first day at Cisco so my first day at Cisco. >> Peter: Baptism by fire. >> Yes absolutely and so that was my first day at Cisco and Suzie talked to me and she said hey there's a lot of network engineers that want to learn how to code and they want to learn about rest APIs. Could you do like a coding 101 and start to teach them about that so literally my first day at Cisco I was teaching this class on what's a rest API, how do you make the call, how do you learn about that and then how do you write some Python to do that? And I thought is anyone interested in this that's here? And I had this room packed with network engineers which I at that time I mean I knew some networking but definitely nothing compared to the CCIEs that were in the audience. >> John: Hardcore plumber networking guys. >> Yeah very very yeah. And so I taught the course and it just like caught on like wildfire they were so excited about because they saw this is actually pretty accessible and easy to do and one thing that stood out was we made our first rest call from Python and instead of getting your twitter followers or something like that it retrieved a list of network devices. You got IP addresses back and so it related to their world and so I think it was very fortunate that I had that on my first day 'cause I had an instant connection to what that community... >> They're like who is she's awesome come on! >> Co-Ost: Gimme that code! >> You're like ready to go for a walk around the block now come on kindergartners come on out. No but these network guys they're smart >> Really smart. so they can learn I mean it's not like they're wet behind the ears in terms smarts it's just new language for them. >> And that was the point of the class was like you guys are super smart you know all of this you just need some help getting tarted on this tooling. And so many of them I keep up with them on Twitter and other places and they have taken it so far beyond and they just needed that start and they were off to the races. So that's been really interesting and then the other piece of it has been working in our more app developer technologies as developer experience for DevNet I get to work across collaboration, IOT, Networking, data center like the whole spectrum of Cisco technologies. So on the other side in application we have Cisco Spark they have javascript SDKs and it's very developer friendly and so that is kind of going back to my developer tribe and bringing them in and saying to you want to sell to the enterprise, do you want to work with the enterprise, Cisco's got a lot to offer and there's a lot of interesting things to do there. >> Yeah a lot of them have Cisco networks and gear all around the place so it's important. Now talk about machine learning and AI the hottest trend on the planet right now in your tribe and in developer tribe a lot of machine learning going on and machine learning's been around data center, networking guys it's not new to them either so that's an interesting convergence point. IOT as a network device. >> Amanda: Right right. >> So you got IOT you got AI and machine learning booming, this seems like it's a perfect storm for the melting pot of... >> It really is so today in my keynote I talked a little bit about first of all why have I always liked working with the APIs and doing these integrations and I've always thought that it's what I like about it is the possibility you have a defined set of tools or Legos and then you can build them into whatever interesting thing you want to and I would say right now developers have a really interesting set of Legos, a new set of Legos because with sensors, whether that's an IOT sensor or a phone or a video camera or a piece of a switch in your data center a lot of those you can get information from them. So whatever kind of sensor it is plus easy connectivity and kind of connectivity everywhere plus could computing plus data equals like magic because now you can do now machine learning finally has enough data to do the real thing. My original background was chemical engineering and I actually did predictive model control and we did machine learning on it but we didn't have quite enough data. We couldn't store quite enough of it, we didn't have enough connectivity we couldn't really get there. And now it's like all of my grad school dreams are coming true and you can do all these amazing things that seemed possible then and so I think that's what DevNet Create has been about to me is getting the infrastructure, the engineers, the app developers together with the machine learning community and saying like now's the time there's a lot of interesting things we can build. >> And magic can come out of that. >> Magic yeah right! >> And you think about it that's chemical reaction. The chemistry of bringing multiple things together and there's experimentation sometimes it might blow up. >> Amanda: Hopefully not! >> Innovation you know has is about experimentation and Andy Jassy at Amazon web services I mean I've talked to him multiple times and him and Jeff Bezos consistently talk about do experiments try things and I think that is the ethos. >> It is and that is particularly our ethos in DevNet in fact in DevNet Create an experiment right a new conference let's get people together and start this conversation and see how it comes together. >> What's your reaction to the show here? The vibe your feeling? Feedback your getting? Observations. >> I'm so happy it's been great. I had someone tell mt today that this was the most welcome they had felt at any developer conference that they'd been to and I took that as a huge complement that they felt very comfortable, they liked the conversations they were having they were learning lots of new information so I think that's been good and then I think exactly that mix of infrastructure plus app developer that we were trying to put together is absolutely happening. I see it in the sessions I see it in the birds of a feather and there's a lot of good conversations happening around that. >> Question for you that we get all the time and it comes up on crowd chat I'd like to ask you the question just get your reaction to is what misperception of devops is out there that you would like to correct? If there could be one and you say you know it's not that what's your... >> The one that seems the most prevalent to me and I think it's starting to get some attention but it's still out there is that devops is just about about the tools. Like just pick the right devops tools. Docker docker docker or use puppet and chef and you're good you're devopsing and it's like that is not the case right? It's really a lot more about the culture and the way the teams work together so if there was anything I could, and the people right, so it's flipping the emphasis from what's the devops tool that you're using to how are you building the right culture and structure of people? That's the one I would correct. >> Suzie was on yesterday and Peter and Suzie had a little bit of a bonding moment because they recognize each other from previous lives HP and his old job and it brought up a conversation around what Peter also did at his old job at Metagroup where he talked about this notion of an infrastructure engineer and what's interesting. >> Peter: Infrastructure developer. >> I mean infrastructure developer sorry. That was normally like a network engineer. So the network engineer's now on the engineering side meeting with developers almost like there seems I can't put my finger on it just like I can feel it my knee weather patterns coming over that a new developer is emerging. And we've talked a little bit about it last night about this what is a full stack developer it doesn't stop at the database it can go all the way down to the network so you're starting to see the view a little bit of a new kind of developer. Kind of like when data science emerged from not being an analyst but to being an algorithms specialist meets data person. >> Right I think it's interesting and this shows up in a lot of different places. When I think about devops I think about this spectrum of the teams working and there's the infrastructure teams who are working on the most deepest layer of the infrastructure and you kind of build up through there into the Devops teams into the app dev teams into maybe even something sort of above the app dev team which would be like a low code solution where you're just using something like build.io or something like that. Something that we wouldn't normally think of as developers right. So that spectrum is broadening on both ends and people are moving down the stack and moving up the stack. The network engineers one of the things in DevNet we're working on is what we call the evolution of the network engineer and where is that going and network engineers have had to learn new technology before and now there's just a new set which includes automation and APIs and configuration management, infrastructures, code and so they're moving up the stack. And then developers are also starting to think I really want my application to run well on the network because if no one can use it then my application's not doing anything and so things like the optimized for business that we have with Apple where a developer can go in through an SDK and say I want to set these QOS settings so that my app gets treatment like that's a way that they're converging and I think that's really interesting. >> Peter: So one of the things that we've been working on at Wikibon I want to test this assumption by we've talked a little bit about it is the idea of a data zone. Where just as we use a security zone as a concept where everything that's in that zone and it's both the technologies there's governmental there's other types of, has this seized security characteristics and if it's going to be part of that conglomeration it must have these security characteristics. And we're no thinking you could do the same thing with data. Where you start saying so for example we talked earlier about the idea that the network is what connects places together and that developers think in terms of the places things are like the internet of things. I'm wondering if it's time for us to think in terms of the network in time or the network is time and not think in terms of where something is but think in terms of when it is. And whether or not that's going to become a very powerful way of helping developers think about the role that the network's going to play is the data available now because I have an event that I have to support now and it seems as though that could be one of those things that snaps this group, these two communities together to think it's in time that you're trying to make things happen and the network has to be able to present things in time and you have to be cognisant of in time. It's one of the reasons for example why restful is not the only way to do things. >> Right exactly. >> IOT thinks in time what do you think about that? >> Yeah I think that's really interesting and actually that's something we're diving in with our community on is so you've been a developer you've worked with rest services and now you're doing IOT well you need to learn a lot of new protocols and how to do things more in real time and that's a skill set that some developers maybe don't have they're interested in learning so we're looking at how do we help people along that way. >> John: Well data in motion is a big topic. >> Exactly yeah absolutely. And so I think and then the network, thinking about from a network provider like I need this data here at this time is very interesting concept and that starts to speak to what can be done at the edge which is obviously like an interesting concept for us. >> But also the role the network's going to play in terms of predicatively anticipating where stuff is and when it needs to be there. >> Yeah yeah I think that's a really interesting space. >> But it's programmable if you think about what' Cisco's always been good at and most network and ops guys is they've been good at policy based stuff and they really they know what events are they have network events right things happen all the time. Network management software principles have always been grounded in software so now how do you take that to bridging against hat's why I see a convergence. >> Amanda: We should have a conference around that. >> It's called DevNet Create. Okay so final question for you as you guys have done this how's your team doing with the talks was one going on behind us is a birds of a feather IOT session you've got a hack-a-thon over here. Pretty cool by design that we heard yesterday that it's not 90% Cisco it's 90% community 10% Cisco so this is not a Cisco coming in and saying hey we're in cloud native get used to us we're here you know. >> Absolutely not so it's I'm really proud of how my team came together around that so I have our team of developer evangelists who we connect with the developer community and we really look at our job as this full circle of we get materials out and learning and get people excited about using Cisco APIs and we also bring information back about like here's what customers think about using it, here's what the community's doing all of that. So when we started DevNet Create we set the stake in the ground of we want this to be way more community content than our content we produce ourselves. And so the evangelists did a great job of reaching out into communities, connecting with speakers, finding the content that we wanted to highlight to this audience and bringing it in so that the talks have been fabulous, the workshops have been a huge hit it's like standing room only in there and people getting a seat and not wanting to leave because they want to keep their seat and so they'll stay for four workshops in a row you know it's been amazing. >> I think it's great it's exciting for me to watch 'cause I know the developer goodness is happening. People are donating soft we see Google donating a lot of open source even Amazon on the machine learning you guys have a lot of people that open source but I got to ask you know within Cisco and it's ecosystem of a company we see a lot or Cisco on our Cube events that we go to. We go to 100 events last year we've been to 150 this year. We saw Dehli and Ciro we saw some Cisco folks there. Sapphire there's a deal with Century Link and Honna Cloud, Enterprise Cloud so there's Cisco everywhere. There's relationships that Cisco has, how are you looking at taking DevNet Create or are you going to stay a little bit decoupled, be more startup like and kind of figure that scene out or is that on the radar yet? >> So I think we know with starting DevNet Create for this first year what we really want to do is get foundation out there, stake in the ground, get a community started and get this conversation started. And we're really looking to in the iterative experimental way look at what comes out of this year and where the community really wants to take it. So I think we'll be figuring that out. >> John: So see what grows out of it. It's a thousand flowers kind of thing. >> Yeah and I think that it will be, we will always have the intention of keeping that we want to keep the mix of audience of infrastructure and app and we'll see how that grows so... >> Well Amanda congratulations to you, Rick and Suzie and the teams. I'd like to get some of those experts on the Cube interviews as soon as possible. >> Absolutely! >> And some crowd chats. You guys did an amazing IOT crowd chat. I'll share that out to the hashtag. >> That was really fun. >> Very collaborative you guys are a lot of experts and Cisco's got a lot of experts in hiding behind the curtain there you're bringing them out in public here. >> That's right. >> Congratulations. >> Thank you very much. >> We're here live with special inaugural coverage of DevNet Create, Cisco's new event. Cloud native, open source, all about the community. Like The Cube we care about that and we'll bring you more live coverage after this short break. >> Hi I'm April Mitchell and I'm the Senior director of Strategy and Planning for Cisco.