from around the globe it's the cube with digital coverage of Red Hat summit 2020 brought to you by Red Hat welcome back to the cubes coverage of Red Hat summit 2020 of course this year it's rather than all coming to San Francisco we are talking to red hat executives their partners and their customers where they are around the globe happy to welcome back one of our cube alumni Lisa Spellman who's a corporate vice president and general manager of the Intel Xeon and memory group Lisa thanks so much for joining us and where are you joining us from well thank you for having me and I'm a little further north than where the conference was gonna be held so I'm in Portland Oregon right now excellent yeah we've had you know customers from around the globe as part of the cube coverage here and of course you're near the mothership of Intel so Lisa you know but let's start of course you know the Red Hat partnership you know I've been the Intel executives on the keynote stage for for many years so talk about to start us off the Intel Red Hat partnership as it stands today in 2020 yeah you know on the keynote stage for many years and then actually again this year so despite the virtual nature of the event that we're having we're trying to still show up together and demonstrate together to our customers and our developer community really give them a sense for all the work that we're doing across the important transformations that are happening in the industry so we view this partnership in this event as important ways for us to connect and make sure that we have a chance to really share where we're going next and gather feedback on where our customers and that developer community need us to go together because it is a you know rich long history of partnership of the combination of our Hardware work and the open-source software work that we do with Red Hat and we see that every year increasing in value as we expand to more workloads and more market segments that we can help with our technology yeah well Lisa you know we've seen on the cube for for many years Intel strong partnerships across the industry from the data centers from the cloud I think we're gonna talk a little bit about edge for this discussion too though edge and 5g III think about all the hard work that Intel does especially with its partnership you know you talked about and I think that the early days of Red Hat you know the operating system things that were done as virtualization rolled out there's accelerations that gone through so when it comes to edge in 5g obviously big mega waves that we spend a lot of talking about what's what's Intel's piece obviously we know Intel chips go everywhere but when it comes to kind of the engineering work that gets done what are some of the pieces that Intel spork yeah and that's a great example actually of what I what we are seeing is this expansion of areas of workloads and investment and opportunity that we face so as we move forward into 5g becoming not the theoretical next thing but actually the thing that is starting to be deployed and transformed you can see a bunch of underlying work that Intel and Red Hat have done together in order to make that a reality so you look at they move from a very proprietary ASIC based type of workload with a single function running on it and what we've done is drive to have the virtualization capabilities that took over and provided so much value in the cloud data center also apply to the 5g network so the move to network function virtualization and software-defined networking and a lot of value being derived from the opportunity to run that on open source standard and have that open source community really come together to make it easier and faster to deploy those technologies and also to get good SLA s and quality of service while you're driving down your overall total cost of ownership so we've spent years working on that together in the 5g space and network space in general and now it's really starting to take off then that is very well connected to the edge so if you think about the edge as this point of content creation of where the actions happening and you start to think through how much of the compute or the value can I get out at the edge without everything having to go all the way back to the data center you start to again see how those open standards in very complex environments and help people manage their total cost of ownership and the complexity all right Lisa so when you're talking about edge solutions when I've been talking to Red Hat where their first deployments have really been talking to the service providers really I've seen it as an extension of what you were talking about network functions virtualization you know everybody talks about edges there's a lot of different edges out there the service providers being the first place we see things but you know all the way out even to the consumer edge and the device edge where Intel may or may not have you know some some devices there so help us understand you know where where you're sitting and where should we be looking as these technologies work you know it's a it's a great point we see the edge being developed by multiple types of organizations so yes the service providers are obviously there in so much as they already even own the location points out there if you think of all the myriad of poles with the the base stations and everything that's out there that's a tremendous asset to capitalize on you also see our cloud service provider customers moving towards the edge as well as they think of new developer services and capabilities and of course you see the enterprise edge coming in if you think of factory type of utilization methodologies or in manufacturing all of those are very enterprise based and are really focused on not that consumer edge but on the b2b edge or the you know the infrastructure edge is what you might think of it as but they're working through how do they add efficiency capability automation all into their existing work but making it better so at Intel the way that we look at that is it's all opportunities to provide the right foundation for that so when we look at the silicon products that we develop we gather requirements from that entire landscape and then we work through our silicon portfolio you know we have our portfolio really focused on the movement the storage and the processing of data and we try to look at that in a very holistic way and decide where the capability will best serve that workload so you do have a choice at times whether some new feature or capability goes into the CPU or the Zeon engine or you could think about whether that would be better served by being added into a smart egg type of capability and so those are just small examples of how we look at the entirety of the data flow in the edge and at what the use case is and then we utilize that to inform how we improve the silicon and where we add feature well Lisa as you were going through this it makes me also think about one of the other big mega waves out there artificial intelligence so lots of discussion as you were saying what goes where how we think about it cloud edge devices so how does AI intersect with this whole discussion of edge that we were just having yeah and you're probably gonna have to cut me off because I could go on for a long time on on this one but AI is such an exciting at capability that is coming through everywhere literally from the edge through the core network into the cloud and you see it infiltrating every single workload across the enterprise across cloud service providers across the network service providers so it is truly on its way to being completely pervasive and so again that presents the same opportunity for us so if you look at your silicon portfolio you need to be able to address artificial intelligence all the way from the edge to the cloud and that can mean adding silicon capabilities that can handle milliwatts like ruggedized super low power super long life you don't literally out at the edge and then all the way back to the data center where you're going for a much higher power at a higher capability for training of the models so we have built out a portfolio that addresses all of that and one of the interesting things about the edges people always think of it as a low compute area so they think of it as data collection but more and more of that data collection is also having a great benefit from being able to do an amount of compute and inference out at the edge so we see a tremendous amount of actual Zeon product being deployed out at the edge because of the need to actually deliver quite high-powered compute right there and that's improving customer experiences and it's changing use cases through again healthcare manufacturing automotive you see it in all the major fast mover edge industries yeah now we're really good points they make their Lisa we all got used to you know limitless compute in the cloud and therefore you know let's put everything there but of course we understand there's this little thing called the speed of light that makes it that much of the information that is collected at the edge can't go beyond it you know I saw a great presentation actually last year talking about the geosynchronous satellites they collect so much information and you know you can't just beam it back and forth so I better have some compute there so you know we've known for a long time that the challenge of you know of our day has been distributed architectures and edge just you know changes that you know the landscape and the surface area that we need the touch so much more when I think about all those areas obviously security is an area that comes up so how does Intel and its partners make sure that no matter where my data is and you talk about the various memory that you know security is still considered at each aspect of the environment oh it's a huge focus because if you think of people and phrases they used to say like oh we got to have the fat pipe or the dumb pipe to get you know data back and or there is no such thing as a dumb pipe anymore everything is smart the entire way through the lifecycle and so with that smartness you need to have security embedded from the get-go into that work flow and what people need to understand is they undergo their edge deployments and start that work is that your obligation for the security of that data begins the you collect that data it doesn't start when it's back to the cloud or back in the data center so you own it and need to be on it from the beginning so we work across our Silicon portfolio and then our software ecosystem to think through it in terms of that entire pipeline of the data movement and making sure that there's not breakdowns in each of the handoff chain it's a really complex problem and it is not one that Intel is able to solve alone nor any individual silicon or software vendor along the way and I will say that some of the security work over the past couple years has led to a bringing together of the industry to address problems together whether they be on any other given day a friend or a foe when it comes to security I feel like I've seen just an amazing increase over the past two two and a half years on the collaboration to solve these problems together and ultimately I think that leads to a better experience for our users and for our customers so we are investing in it not just at the new features from the silicon perspective but in also understanding newer and more advanced threat or attack surfaces that can happen inside of the silicon or the software component all right so Lisa final question I have for you want to circle back to where we started it's Red Hat summit this week-long partnerships as I mentioned we see Intel it all the cloud shows you partner with all the hardware software providers and the like so big message from Red Hat is the open hybrid cloud to talk about how that fits in with everything that Intel is doing it's an area of really strong interconnection between us and Red Hat because we have a vision of that open hybrid cloud that is very well aligned and the part about it is that it is rooted not just in here's my feature here's my feature from either one of us it's rooted in what our customers need and what we see our enterprise customers driving towards that desire to utilize the cloud to in prove their capabilities and services but also maintain that capability inside their own house as well so that they have really viable work load transformation they have opportunities for their total cost of ownership and can fundamentally use technology to drive their business forward all right well Lisa Spellman thank you so much for all the update from Intel and definitely look forward to seeing the breakouts the keynotes and the like yes me too all right lots more coverage here from the cube redhead summit 2020 I'm Stu minimun and thanks as always for watching [Music]

>> Woman: From the heart of Silicon Valley, it's theCUBE; covering CloudNOW's Seventh Annual Top Women Entrepreneurs in Cloud Innovation Awards. (dramatic music) >> Hi, Lisa Martin with theCUBE on the ground at Facebook Headquarters. We're here for the Seventh Annual CloudNOW Top Women Entrepreneurs in Cloud Innovation event. Welcoming, one of the award-winners tonight, to the program, we've got Sce Pike, the founder and CEO of IOTAS. Sce, it's so great to have you here, and congratulations on your award. >> Thank you so much, Lisa. >> So IOTAS's cool software. >> Mm hmm. >> Tell us about that. This is for the Smart Apartments. These days we're so used to being able to talk to any device and have it control things. Smart cities are our big thing, smart everything. Tell us about IOTAS. What do you guys do when the impetus for the technology. >> Sure, I really believe that the future of smart home is actually something that is not just four walls and a roof, but actually something that is aware of you. So, aware of you and knows your preferences and settings, and actually knows everything about you and wants to actually be an ally to you, and actually can differentiate between you, and your family and friends, and potentially an intruder. And so, the only way you're going to get there is to actually work with early adopters of technology. This is when we start identifying the real estate industry with multi-family where all the early adopters were living, right, because only 30 percent of Millennials own homes. And so, we thought about this and said, "Okay, well, how are we going to actually get to those millennials?" And then a real estate developer actually approached us, saying, "Hey, I want technology differentiation for my building that I'm creating, 200 units in Portland Oregon," which is where I'm from, and said, "I want to have something different." And that's when I was like, "Oh, this is the opportunity to actually work with the real estate industry to put it into the fabric of the buildings." And that's when I got really excited when we can actually make a true smart home that has all the lights, all the outlets, all the locks, voice as you mentioned, and everything that is an experience versus just on, off. >> That's so interesting. I looked at your Web site and saw the journal and how it's talking about something that you mentioned, this awareness and learning the individuals and being able to have the intelligence to distinguish. >> Is it called stories on the website? >> Those are stories, those are the automations, so that you can have a good night story, good morning, welcome home; so everything just works for people who are moving into our apartments. They download the app within 30 seconds. They can see everything that they can control, but they can see also, all the pre-programmed automation as well. But the other notion of what we are creating is something called a living profile. And this is really relevant from a CloudNOW perspective, is that the living profile travels with you from place to place to place. So we are not only doing smart apartments but we're also working in student housing, military housing, senior living, and starting to go into single family home as well. So for us, the notion is that these smart homes, all your settings preferences, your routines, your habits, travel with you from place to place to place, eventually to hotels, to cars, working spaces, hotels, short term vacation rentals and such. >> Wow! That's phenomenal. So this is an interesting kind of collaboration between the real estate industry and some technologists. >> Exactly. Exactly. >> I love that you were approached by a real estate developer who said, "I want to have a differentiation for my business." >> Exactly. Was that sort of a surprise to you thinking, you understand tech, you have a really cool background in anthropology as well as electronic arts, but there must have been sort of an interesting opportunity going, "Well, there's a huge opportunity in the market here >> Yeah. >> that we can help tech really kick the doors wide open on real estate. >> Yes. Exactly. My previous company, Citizen, which I sold to Ernst and Young, is known for connected technology. So we were developing connected technologies in cars, in healthcare and fintech, and we were looking at smart homes for single family home. And so, for us, when that real estate developer approached us, looked at the market, saw that the market is huge. It's $500 billion to a trillion dollars, just for multi-family home alone, it's an absolutely a large market, and then realized that this was truly an opportunity to scale smart home and IoT devices in a meaningful way because you're not just selling one device, one home, not even one building, but you're selling entire portfolios of companies like Prudential or JP Morgan. All the funds that you hear about, they're all real estate funds, right? And they're changing hands 40% of the ... A 40% of the fund is changing hands every year. That means they are buying and selling, and as they're buying and selling, they're adding technology into these buildings. >> Wow! That's so interesting. So, I want to kind of pivot a little bit into your background. I mentioned anthropology degree and electronic arts. And you have, I was asking you before we went live, I love stories like that where there's a ... I hear it wasn't a STEM kit, but you have some really cool influences that your anthropology background has delivered to, not just your career but also the technology that you guys are delivering. Tell us a little bit about that. Sure. So, anthropology is a study in human behavior, right? There's physical anthropology and cultural anthropology. Physical anthropology is now considered almost like evolutionary psychology. And so that actually allowed me because I've always been curious about human; human nature, why people do things, and that actually led my career into this interesting path of user experience design. And electronic arts actually taught me how to code as well as design on the computer. And when I graduated from college in the late '90s and moved to Silicon Valley, everybody's like, "I need somebody who could code and design all these Internet sites." So I ended up actually designing the first GM e-commerce site, the first HP's e-commerce sites, and that actually was not a direct path. I never thought I'd be making websites or working in an Internet, but it was an interesting path to get there. So you're right, it doesn't have to be this straight and like you got to be in computer science. There's so many different avenues to think about how technology needs a different point of view, right, from an art background or an anthropology background, and I think that's where there's an opportunity to bring in women or girls in a different way that still goes into STEM. So steam is a huge portion of what I support. >> Yes. And you talked about, it's just different points of view, it's thought diversity, even. >> Yes. >> Tell us a little bit about the culture that you're building at IOTAS and where, maybe even some of the softer skills >> Sure. >> are key to enabling you guys to do market expansion and accomplish some pretty big goals? >> Yeah. I mean, culturally, I love my team. I think one of the things that we always strive for, though, is the ability to always give back to the community as well. So we have like, events, as well as like, once a month, everyone has like, a give-back Wednesday, right? So they can go and volunteer and do other things that is outside of just their work life, right? And so that's just one of the things that we do and that allows them to just step away from their daily activity of being driven by just the startup mentality or the startup life and just go build something, and we do this a lot, Habitats for Humanities, right? We go build homes, real homes, and we always think we should offer these homes as smart home technology. But those are the things that I think really impact who we are. The other thought I had was I travel a lot. And I had this moment where I was getting on a plane. I was looking at the pilot, I was going, "Oh gosh! So much of my life is dependent on white men, and, unfortunately, like, my investors, my board members, all my executive staff, my husband, and I was thinking, "I need to change something. I'll keep the husband." (Lisa laughs) But we (chuckles) recently added a female board member who has a cybersecurity background. I'm recruiting for a female CFO and COO as well, and I'm trying to change up my executive staff, change up my investors, change up my board 'cause this is not something that you think about, coming from my generation which is a little bit older. You just need to do what you need to do to get it done, you don't think about yourself as a female entrepreneur. I thought of myself as an entrepreneur. I think of myself as a CEO. I don't have this like, "I'm a female entrepreneur." And so you sometimes forget to support other diversity in this environment, and that's kind of this moment of realization as I was getting on the plane, "I got to change something." Right? And so, our staff is more than 40% female. I'm trying to change that a little bit more. That's one of the key things that I think is a strength of having just representation. >> And maybe one of these days, you said your point: It won't matter, you will just be able to be a CEO, an entrepreneur. >> exactly. >> One more thing, since you're recruiting, where can people to go to find out more information about the opportunities? >> Sure, they can come to our site, reach out or contact at iotashome.com. That would be the best way to reach us. >> Excellent. Well, Sce, congratulations on the award. >> Thank you. >> And for what you're doing to help revolutionize the real estate tech industry. It's such interesting technology to make it aware and personal. Thanks for your time. >> Cool. >> Thank you so much, Lisa. We want to thank you for watching theCUBE. I'm Lisa Martin, at Facebook Headquarters. Thanks for watching. (dramatic music)

okay we're back live here at the OpenStack summit in Portland Oregon I'm John furry the founder SiliconANGLE comment rose mykos Dave a latte from Wikibon org this is silicon angles the cube our flagship program we go out to the events and extract the signal from the noise and certainly here OpenStack there's not a lot of noise but a lot of signal a lot of developers a lot of use cases really really the Alpha geeks the practitioner is really putting new technology into place to power this modern era of computing cloud mobile and social David Floria we're here with Demetri stilly at us from nudge networks and mountain view welcome to the cube thank you David I want to get your take on this before we set up this interview because honestly we've heard from right scale there in the management side just previous we've had Rackspace on earlier there on the Omni on the provider side we had big switch-on software-defined networking and now Dimitri's company the software is eating the world what's your take on the SDN market right now relative to OpenStack relative to open saying well what you're clearly wanting to do in every part of it is separate out all of the different layers and you ought to be able to separate out the physical and the the logical and the the software is the way that that's going to be done so instead of having to have a switch which is a piece of hardware and the software you want to separate the two out so that you have the logical function and the physical function from from the two pieces so that's very important to be able to contribute to every layer take new technologies along with you and then define the software element of that as the piece that you keep constant as technologies themselves adjust so durable code we walk manageable and build on and we clean can take advantage of new technologies as they come along and obviously I coming back to you what are you contributing what I think needs to be contributing was the white space in that area that you're going after right so see when people started thinking about the cloud and OpenStack and to always kind of think they they quickly realize that the network is a fundamental piece right you have to start with the network you have to interconnect your components and so on the angle that we are taking is yes it's good with in your data center within your cloud you have to create this network services interconnect applications and so on but much more importantly you need to be able to dynamically connect these applications with your existing network services right so you have a large amount of enterprise VPN services you have hybrid clouds coming out so you need to be able the moment you activate a network service in the data center to be able to seamlessly interconnect this now with your enterprise side with other network services in other data centers in other clouds and so on right so the network is always a network of networks and we have to bring everything together we cannot just restrict ourselves with is the confinements of a single administrative model so that's that's a fundamental part of what we are trying to to bring here together okay and so how are you fitting in with the the network layer right so our view is say that first of all we need to talk both both languages if you don't think of it as a as a translation thing right so we need to understand the language of the cloud we need to understand the language of the application developers in the cloud they want to use some abstract mechanism to define their network services and install them if you want in the hypervisors and OpenStack quantum seems to be the prevalent way to do that so that's language number one but then we have all these thousands of networks out there where their language is bgp so what we are doing is we are marrying the two we allow you to codon define services in OpenStack and we allow you to define the mekinese between interconnect the service is automatically with all the other networks that are out there right so I call it sometimes we are just translating between languages all right a language translator live from an application point of view they want to consume resources and previously networks and the computers were the main things they consumed but it seems now that sorry computing and storage with the main things they consumed but it now it seems that networks themselves have to pay a much bigger role in providing a quality of service to those places Rick you've got a quality of service down in the nano seconds when you get to the server level and used to have milliseconds for the for the storage side it's now coming down to micro second what are you doing to make sure that that quality of service no it is not just the bandwidth but it's also the latency are you planning to marry that see the weight datacenter networks of all these people are quickly realizing that the same if you want principles that we used in order to build the Internet itself can be used inside the data center so if you think about the internet right in the internet there is voice services that is video services there is all these other services running and they are actually running by assuming you have a well-engineered IP network and then you run the service is at the edges if you want all that you push all the intelligence at the edges it's the same thing where the network on the data center is going the data center network becomes a very scalable IP fabric it it is very well managed if you want very well traffic engineer and you push the edges at the hypervisors you push essentially the services at the hypervisors where traffic is differentiated so if you see for example a tenant misbehaving you are going to block him at the hypervisor layer if you're going to provide us or map different tenants to different classes of traffic it's happening at the hypervisor so the center of the network behaves like a scalable IP fabric and all the intelligence it's pushed around the edges and the reason you want to do that is because this allows you the ultimate scalability right the network or doesn't need to know about every flow that goes into the through through the corner of the network there right you don't need to know the IP addresses of virtual machines you don't need to know what individual virtual machines no need to know I want to do there you just need to worry about aggregates so you can engineer and scale the core make it very cheap and because you make it very tip you can increase the capacity at the core and you can say distribute all the intelligence at the edges of the network right but so you said that you can do the hypervisor and that's obviously on the compute side that side of it but what about the data network isn't that a don't you need to regulate the priorities and flex all the data through and isn't that today that's that's a very big part of it yes but it is still happening at the hypervisor right the the first touch of it enough an application with a network it is not anymore the top of rack sheets let's say on the data center but it does it is actually the hypervisor virtual sheets right that's the first time that you see a packet when a packet comes out of a virtual machine the first time you see it is at the hypervisor itself and at this layer when the first time you see the bucket of the hypervisor itself is where you apply all your policies right in other words the edge of the network is not the hardware is not the switch on the top of rack the edge of the network is inside the server now ok yeah ok excellent so I want to ask you we have a couple minutes left here I wanted we have two minutes less I want to get your perspective on the state of the business around OpenStack what is your view ok because your chief architects you're looking at the tech yes and you but you have to intersect the business objectives what are you seeing as the core business drivers that are that are causing you to make your technology in a certain way right so it's clear that what people want to do is they they want to provide this ability to their end users to consume services rapidly right that is what is driving this call OpenStack development and more important the community came together in order to unify view on the core engine and the core AP is in order to make this consumption of services very easy and in order to allow the application developers to move from one cloud to the other and so on right what we do is what we try to do is in addition is expanding view on this model amazing the network as consumable as the storage and compute facilities right and I'm not talking just about the network in the data center I'm talking about also the network in the way that the service in the data center of a cloud provider will interconnect with the enterprise read if you see then the next if you want Holy Grail that everybody is talking about is the hybrid cloud the hybrid cloud is only possible if you can connect the network and the services in the service provider cloud with a network and services in the in the in the enterprise itself right so they what links the two together is the network so we have to make this network to be consumable final question for you is actually DevOps is a mindset we heard from right scale that that adoption is in mainstream enterprises and service providers but the word infrastructure as code is becoming more popular outside of the the geeks and the album the architects the coders what in your mind how would you describe infrastructure as code to the folks out there give it a try it's okay no right answer it's a moving target that's what it is realities it's that the applications and code is a living organization it's constantly changing and you cannot assume at any point it's static right it's not there it's not the good old days if you want and that's what it really means right it's a living organism it it will constantly adapt to the new to the new requirements out there like switches in the old days you knew exactly ports and you you knew i was going now it's all kinds of weird stuff happening right it's all stuff you you have to be you you have to accept change if you want right so it's the actually there is a there is an okay Isaac Asimov code right there another the author of the science fiction yes that's the only constant is change yeah we should be no project just on the network genome here Software Defined Networking Dmitry stylianos thanks for jumping inside the cube again you're here like with a lot of the chief architects making things happen congratulations thanks for joining us thank you we'll be right back with more analysis from David's lawyer after the at break on a breakdown day 1 and day chu here in more depth from the analysts here at opens Dec 2 SiliconANGLE Gibbons exclusive coverage of OpenStack summit be right back