Transcript 0:00 [on-hold music] I think the most exciting part about edge computing is that if you think about, you know, back to the early days of, of the mobile revolution, there was the stuff we could dream up, you know, a decade ago, um, but, but all of the most pervasive capabilities that we use, you know, on our smartphones and, and other, uh, technology devices today are the things that we, we didn't even dream of at that point. 0:24 And so I think that's what excites me the most is that with this advent and this upswing of, um, edge computing is that it's really a platform for innovation for all those use cases that are yet to be invented. 0:34 [upbeat music] Welcome back to The Peggy Smedley Show, the podcasting voice of IoT and digital transformation. Hello, listeners, and welcome back to The Peggy Smedley Show. 0:51 My next guest leads a team that delivers silicon software and platforms for network and edge computing infrastructure to drive transformation across wireline, wireless, cloud, and enterprise networks. 1:05 She has been with Intel since nineteen ninety-nine, serving networking, communications, and embedded industries. 1:12 Please welcome Jenny Penhorse, Vice President and General Manager of Network Edge Platforms Division of Intel Corporation. Jenny, welcome to the show. Thanks so much, Peggy. It's great to be here. So it's exciting times. 1:27 I have to say, you guys are doing some pretty great things at Intel, and I'm pretty excited to have this chance to talk to you. Yeah. 1:33 So I'm gonna start out by asking you, just right off the bat, everybody's talking 5G, edge computing, but I wanna get the benefits to the customer 'cause that's what customers are thinking. Yeah. 1:45 So why don't we start there? Why does it matter? And, you know, let, let's get to that point right there. Yeah. 1:51 I, I think, I think it's great to start with that, you know, really compelling set of needs that are coming from the market. 1:57 Um, and there's so much that's going on, and, and I-I-I really like to start from the perspective of some of the enterprise problem statements that, that I think we have, um, right now looking across a variety of different industries. 2:09 One of the most exciting areas of edge computing right now is in, uh, for example, industrial automation. 2:15 And so you've got, you know, some really interesting things going on here in terms of, you know, improving overall quality of products that are being manufactured, um, you know, implementing, uh, visual technologies, visual inferencing and AI capabilities on a manufacturing line, uh, being able to actually, you know, dynamically look at, at product that's moving through a line. 2:36 It, you know, automatically detects defections and, and be able to pull product off that, that line or alert for maintenance in, in the case of a problem. 2:45 And so you're able to-- things that require human intervention before you're able to automate a lot more easily, improve product quality, and improve overall operational capabilities on those product lines. 2:55 You know, you're able to also do things like, you know, augmented reality aided maintenance for those types of tool issues. So, um, tremendous amount of, of technology opportunity. 3:04 Uh, then you, then you look at a space like, like retail where, you know, it's, it's this intersection of, you know, business problems that the retailers are trying to solve around being able to better target customers, being able to lower costs with better inventory management. 3:16 But then also it's an improvement for the consumer themselves, you know, enhancing their overall experience with customized offerings or, you know, building loyalty or, or delivering advertising and offers that are more meaningful to them as opposed to, you know, just, just kind of, you know, broader or generic offers. 3:32 And so I, you know, I think a lot of really great opportunities there. 3:36 But then you can look at, at, you know, kind of more pure consumer types of use cases, um, in entertainment where, um, you've got, you know, improvements in, in venue experiences where, you know, it could range anywhere from just more reliable connectivity to really immersive and interactive experiences where they get to really, instead of just sitting in a seat, you know, in the stadium, be able to augment that with a ton of information, um, that they've got access to real time, look at different views on the field, and really be able to, um, immerse themselves in, uh, in a game or an, or an entertainment type of event. 4:08 And so, um, really a ton of, of different opportunities across consumer and, and B2B spaces. 4:15 And, and really, I think the most exciting part about edge computing is that if you think about, you know, back to the early days of, of the mobile revolution, there was the stuff we could dream up, you know, a decade ago. 4:26 Um, but, but all of the most pervasive capabilities that we use, you know, on our smartphones and, and other, uh, technology devices today are the things that we, we didn't even dream of at that point. 4:36 And so I think that's what excites me the most is that with this advent and this upswing of, um, edge computing is that it's really a platform for innovation for all those use cases that are yet to be invented. 4:48 Is that what we're talking about is, is our vertical markets that you just talked about when you talk about whether it's retail, whether it's industrial, whether it's the consumer, we now have this ability to get closer to the customer, and those examples you just- Yeah... 5:02 enabled because of the low latency, the higher bandwidth, those things that we weren't able to do, is that what you're describing? Yeah. Yeah, absolutely. 5:10 You know, there's a lot of people who ask about, um, the why of edge computing. You know, we, we've got a lot of compute that happens on devices. 5:17 We've got compute that happens in, you know, on-prem, in the enterprises themselves.Um, and it's this question of, okay, well, why the edge? 5:24 You know, why is it that, um, you need to add these new compute nodes throughout the infrastructure? 5:30 Um, and so there's some interesting studies out there that talk about, you know, where data trends are, are going, where data is gonna be generated, where data is gonna be processed. 5:38 And, and one, you know, that we talk about a lot was a study that Gartner did, um, that, that showed that they're projecting out in time, you know, over seventy-five percent of enterprise-generated data is going to be, you know, either created or processed outside of traditional, you know, centralized cloud data centers. 5:54 And, and just to give you kind of a comparison point, they estimated that back in twenty eighteen, it was only ten percent that were gen-- that was generated and processed outside of cloud data centers. 6:02 So I mean, just a massive increase in the amount of, of then edge compute capacity that's required. And so yeah, you mentioned a couple of the compelling reasons. Latency is one of those, right? Round trip latency. 6:14 You know, if we go back to kind of that manufacturing automation example that I was talking about before, um, you know, you need response times in, you know, the, the low, you know, the single-digit millisecond range for, you know, anything, um, that is, you know, kind of close to real-time. 6:27 You know, if it's tr-if it's truly real-time, it's a sub-millisecond type of, of use case, and you simply can't afford to go back to a centralized cloud in order to do that, that type of processing. 6:36 A centralized, um, you know, hyperscale data center, it might be a, you know, hundred-millisecond round trip latency. 6:41 And a lot of these applications that we're talking about are, are, you know, kind of a, a less than ten-millisecond range. Uh, but, but another concern is bandwidth, right? It's just the cost of data movement. 6:51 Um, if you think about, you know, the amount of traffic, um, that is, that, you know, is, is moving across worldwide networks, um, almost eighty percent of that traffic today is video, and video is a lot of data. 7:03 [laughs] And then when you think about actually processing that data, you know, using, um, AI machine learning techniques, that's very compute intensive, um, ideally, you would find a way to do that compute closer to the source of that data, um, or where that service is delivered. 7:18 And so that, that bandwidth preservation and, and really, you know, kind of driving that cost optimization of the movement of that data is another compelling reason, uh, for edge computing. Um, and... 7:29 But, but then, you know, something I, I don't want to forget is data privacy. You know, personalized data is increasingly important for a lot of these use cases. I talked about retail. 7:37 Um, you know, of course, that requires a, a certain amount of access to, to personal information, but you cannot do that without providing the appropriate level of protection. 7:46 Uh, of course, there are many government regulations that are in place, and we need to ensure that, you know, the operators of this infrastructure are able to comply with those data sovereignty requirements. 7:56 And so being able to, to handle those data privacy and sovereignty needs are of utmost important for-- uh, importance for edge computing as well. 8:04 And that's an interesting point, and, and we can talk about this because there's a lot of things when we talk about openness, and we talk about, you know, trying to set standards and trying to protect people's privacy, 'cause I think that's a big one. 8:16 We always need to talk about security. 8:18 But this is like, I think marks a huge journey for Intel and a step in that, I think, in a way, because is this different than how Intel has thought before, or is this just part of the path? Because I think... 8:30 I guess the way I wanna ask this question is that we always tell people in the IoT, it's not just you're investing in something and it's done. You have to constantly make an investment, and you have to keep- Yeah. 8:41 -making an investment. 8:42 Is this what is transforming Intel into saying, "We're doing the same thing, making investments in our network, and that's what our customers are seeing, that we're constantly transforming and Intel's transforming, and it's doing things to constantly help its customers be faster, better- Yeah. 8:58 -closer to the edge that it needs to do things." Yeah. It is. You know, I, I, I think you raised a couple of really good points there. 9:05 I mean, we're, we're certainly living in a world where the pace of technology innovation is faster than it ever has been before. But, you know, a lot of these are really long, multi-year journeys. 9:15 And, you know, and Intel has been in the network business for, you know, really a couple decades. 9:20 You know, we've gone through a variety of different, uh, of different phases, but over the course of the past decade, it's really been about driving network transformation. 9:27 Um, and I've been fortunate to, to be a part of the business over that, you know, over that duration and, and really been able to experience this really first by starting, uh, by listening to our customers and listening to, you know, really the, the broader ecosystem and, and the value chain. 9:42 Um, you know, i-if we look at something like the virtualization and cloudification of the network, it really started by listening to the operators, listening to the communication service providers who were dealing with this massive upswing in traffic and complexity of traffic in the mobile revolution, in, you know, kind of the internet revolution as well. 10:01 Um, it was about building capacity for, you know, that influx of data and, and number of devices that they needed to be able to support, but it was also about dealing with different, different traffic patterns. 10:12 You, you had networks, you know, that were largely built for, you know, originally built for telephony, [chuckles] you know, even, even mobile networks themselves, built for telephony, you know, built for, you know, eventually, um, you know, SMS and texting, but needed to be, you know, essentially completely re-architected in order to deal with data. 10:30 Um, and so, you know, that was really, you know, kind of the impetus for, you know, that wave of network transformation that began almost a decade ago, where, you know, we really partnered with those communication service providers, but also with the equipment manufacturers and many other folks across the ecosystem, where, of course, we had a role as a silicon provider and also as a, you know, deliverer and influencer of, of software. 10:53 Um, but it's really been, you know, partnership, um, in, in communities and standards bodies and, you know, and, and now, you know, that's resulted in, in already a significant virtualization and cloudification of, of the network. 11:04 If you look at, uh, core network infrastructure today in, in four G and LTE networks, um, you know, virtualized solutions are, you know, roughly fifty percentOf, of that, that core network makeup today, and we expect that that's gonna be a full eighty percent out by, by twenty twenty-four. 11:20 Um, and, and Intel's business has grown pretty considerably over that period of time as well. 11:25 Um, so for the silicon that we sell into that infrastructure, um, you know, Intel's network business is-- it was over a five billion dollar business, uh, last year in, in twenty nineteen. 11:33 And so, you know, that, that was, that was growth that we achieved in, in alignment with, with the market who were seeking, you know, high performance, reliable, but really programmable and flexible solutions to meet the changing demands of the market. 11:46 Um, and so now really that, that, that same kind of playbook about partnering deeply with our customers and, and really driving, um, that transformational approach to infrastructure, now we're applying that to the, the edge and the 5G revolution. 12:01 And I think that's important. Let's talk a little bit more about-- One of the things I really enjoyed is you keep talking about cloudification, and it's, it's a term- Yeah... that you don't hear a lot about. 12:11 You hear about moving to the cloud, but I love the way you use that because it's, it really defines of moving a service to the internet. So for my listeners- Yeah... 12:18 who might not be used to hearing that, I think that's a great way of, of saying something. So when we talk about Intel has just launched the Atom, the P5900. Mm-hmm. 12:28 Talk a little bit about what this product is, how that's going to impact customers and, and partners that are gonna be involved. Yeah. 12:37 So, so I talked a bit about, you know, our journey so far in network transformation and, and that was a lot about, you know, transforming the, the core network and, you know, a certain amount of the edge, the edge network, um, and also, you know, a lot of cloud enterprise data center networking. 12:51 Uh, but really the next frontier for Intel was, was really the wireless access network. And so, uh, this Intel Atom P5900 that we launched just last week is, is a product that we're incredibly excited about. 13:02 Um, it's really the first Intel architecture system on a chip or SoC for wireless base stations, that n-that next frontier for Intel. 13:09 It's been something that's there, you know, from, from day one for, for mobile networks. Of course, the wireless base station is really that first stop in the mobile network. 13:17 Um, and so with this, this Atom P5900, we're able to extend Intel architecture from that, that core network where we've been present for, for many, many years to the edge and to access into really that-- the, the fur-the furthest boundaries of, of the network. 13:33 And so, you know, just, just to kind of give you a little bit of rundown of what's in, what's in that product and what's exciting about it for us, uh, it is a ten nanometer system on a chip. Um, it is focused on... 13:43 You know, we really partnered with our, our, um, base station customers, the telecom equipment manufacturers, uh, to understand what it was that they, that they needed in order to deliver high performance, uh, 5G access networks. 13:56 And so, um, our co-archi-architected a solution that, that, uh, delivers the, uh, layer two and layer three transport, packet, and control processing function. 14:05 And so we focused on improving, you know, overall packet processing performance in, in that, uh, part, um, and also improving the, the security back to... 14:14 You know, we talked about some of the security aspects of, of edge computing ear-earlier, you know, improving the overall security capability, processing capability of that, that part as well, in addition to also providing some specialized acceleration as well as integrated IO that are critical for those form factors and the types of workloads that those base stations need to be able to support. 14:34 And so, you know, it really is the latest addition in, you know, a broad portfolio of, of offerings that, you know, that, that were focused on this space, and it's, it's a great time for us to be, you know, really getting deeply into this space. 14:47 You know, out, out in the next couple of years, out by twenty twenty-four, we expect, you know, over six million base station deployments, and so huge opportunity as, as 5G really rolls out in earnest this year in twenty twenty and then beyond. 14:59 And that's-- I mean, the growth in itself is phenomenal when you think about where we're talking about, again, with that market, you're thinking about the radio access network, talking about how that's gonna serve it. 15:11 I mean, that's gonna propel the market, what we have to think about where things are going as well, right? Yeah. Yeah. Absolutely. Absolutely. 15:18 So, so let's think about now where this is going to be when we think about the overall market in, in general, how that fits into the Atom P5900 SoC positions itself with your Xeon that came out, the family. Mm-hmm. 15:33 How are, how are all these coming together? Because as, as I was looking at this, I was saying you guys have developed and invested a lot, you know. 15:40 You talk about building it from the ground up, and everybody s- you know, likes to say that, but you guys invested a lot of money as you just described. 15:46 And I think for people who are trying to understand this, people have to wonder what does that mean to them and their investments they're gonna make with you. Yeah. 15:54 You know, I, I-- It, it-- That, that's a really good question as well because if you think about the, the diversity of infrastructure that we're talking about here, I talked a little bit about, you know, core networks. 16:04 Uh, those core networks, that, that core network equipment, you know, can live in a, a data center that, that, you know, might... 16:11 If, if you were to walk into here, just be dropped in there and not realize where you were, [laughs] you, you'd probably think that you were in another, um, enterprise data center. 16:19 And so it looks like racks of servers and, you know, right now as that, as that infrastructure has been, uh, virtualized-Um, it really is server-based infrastructure that is able to leverage really our highest performance Xeon scalable product lines. 16:32 And so another one of the, the product lines that, uh, you know, that we launched last year was our second generation Intel Xeon scalable platform, and we're able to service areas of, of the network, like core networks, like some of our applications in, in, uh, enterprise and, and cloud data center networking. 16:48 But if you look further out to, you know, the edge of the network, and you look at the radio access network, what you find is that there are, um, increased restrictions in terms of the form factors, the actual physical form factors that the computing capability needs to be able to fit into. 17:04 So there are, you know, differences in terms of performance requirements and power requirements and price requirements. Uh, but there's also constrained environments. 17:11 You know, uh, wireless access networks, they, they have to be able to, you know, reach all over the, the globe. 17:16 And so you look at where, um, wherever you see a, a radio tower, a cell tower, you know, as you're, as you're driving around and, and moving through the world, uh, there is a base station that sits at the base of that cell tower. 17:27 Um, and that may be in an extreme environment. You know, I live here in, in Phoenix, Arizona, and, you know, we're not known for our mild summers. 17:34 [laughs] So that's a great example of, of, you know, an envi- a k-kind of a more harsh environment, certainly not even the harshest environment in the world that, um, you know, that, that, that type of radio access equipment needs to be able to operate in. 17:46 And so there's variability also in terms of the, the level of re-reliability that it needs to be able to support. 17:52 And so what you can quickly, you know, understand is, is that there is really a diversity of, uh, compute capability that's required to satisfy all of these different network needs, and so, you know, that variance in, in performance capability, in power, um, as well as price. 18:07 And then when you start to layer in the different types of edge computing workloads that some of, some of those that I mentioned earlier, you start to understand that there's workload diversity as well. 18:17 Um, and so the general purpose computing provides a very strong foundation for that capability, but you also have, you know, specialized acceleration that becomes necessary in order to effectively, uh, address the performance needs of those workloads. 18:31 And so having diversity across our compute portfolio and then being able to augment it with scalable connectivity and, and workload acceleration in order to support those variety of applications is really crucial. 18:45 And so if you look at something like our, um, Xeon D, 18:49 um, family of systems on a chip, and you compare that to something like Atom, um, it's a very deliberate choice for us to offer, you know, a variety of compute capabilities that, that are well suited to different applications. 19:01 Something like a Xeon D-based application might value single-threaded performance by comparison to, you know, a, the, the Atom P6900, which as I mentioned before, is something that's very optimized to fit into those base station environments, um, very specific requirements in performance per watt and also specialized acceleration and IO for those base station workloads. 19:21 So it really is about addressing that entire spectrum of needs in terms of physical capability, performance, and workload diversity. 19:29 I know we've talked about a lot so far, and I definitely don't want our, our discussion to end today without us at least talking about customer and partner engagement. I know that- Yeah... 19:39 those listening would say, you know, they're e-excited to hear about some of those. So walk us through some of that, because I think that says a lot about when you're doing things like this, what you've been doing. 19:48 Can you tell us about some of those? Yeah. Yeah, absolutely. 19:50 Uh, you know, if you, if you look at where the, the Atom P6900, you know, is, is being used, we've had announcements over, over the course of the past year plus with really the pr- some of the preeminent telecom equipment manufacturers today, companies like Nokia, Ericsson, and, and ZTE. 20:07 And, you know, and then when you look at some of the capabilities that we're delivering in our Edge portfolio, which extend even beyond, you know, the, the silicon products that I, that I mentioned into, you know, a key set of, um, developer, uh, tools and, and reference architectures, capabilities like our Open, Open Network Edge Services software, uh, which is, which has the, the acronym Openness, and, and our Converged Edge Reference Architecture, which we call CERA, or C-E-R-A. 20:35 Um, these are, these are ways to accelerate development, accelerate development, developer experience, and, and also just, you know, really drive down that, that time to deployment to really accelerate the next generation of Edge solutions. 20:46 So if we look across, you know, some of the partners that have been early adopters of this, this OpenNESS, uh, capability that we originally launched in, in the middle of last year into, into open source in the middle of, of twenty nineteen, uh, we've had a few folks who, who have really been using it as a platform for innovation. 21:03 Uh, some of the capabilities that it delivers are, you know, extraction of the underlying network infrastructure, um, as well as ease of onboarding of, of Edge applications. 21:12 And so we've got, we've got a couple great partnerships over in China as well as Asia. 21:17 Um, China Unicom, we've been partnering with them on a video streaming solution for, for high-definition video and ultra-high def video for four K and eight K. 21:25 That's built on OpenNESS, and it's actually, you know, a great example of a partnership also with a cloud service provider, so a great communication service provider and cloud service provider partnership, in this case with Tencent. 21:36 And they're, they're obviously seeking to improve their overall infrastructure capability, but then the end user benefit is improvements in, in their overall streaming experience. 21:45 If we go back to a couple of the enterprise use cases that I was talking about before, industrial and retail really represent a, a very significant portion of that next generation Edge computing opportunity. 21:55 We have a couple partnerships there with some of the, the ODNs who are building some, some, uh, early Edge computing solutions. Uh, Foxconn and QNAP are a couple examples of those. 22:06 They've, uh, adopted our Converged Edge Reference Architecture or CERA, and, and they've got solutions leveraging OpenNESS as well. 22:13 So Foxconn has a solution based on, based on, uh, focused on industrial environments, and then QNAP has a, a retail solution that they have in, in early pilots in, in a couple retail locations in Taiwan.So those are just a couple examples. 22:27 I, I think really the most important thing to think about with respect to edge computing is that even if you look at it as an infrastructure problem, which, which we certainly do here in the, in the network business at Intel, um, it is impossible to solve the challenges of next generation network or edge infrastructure without understanding those use cases. 22:47 Uh, so we're really starting from the outside in and starting kind of from the top down, so to speak, um, when you look at the overall solution stack, and deeply partnering with customers on those specific problems that they're, that they need to solve, and how they're trying to impact and deliver value to their customers. 23:04 And so it really is understanding those industrial use cases, those retail use cases, and then translating that down to the lower layers of the infrastructure to be able to be confident that we're delivering the capabilities required in order to support that development of all those exciting next generation edge use cases. 23:21 Now, you also just had a new announcement with Rakuten, is that correct? In an e-commerce side of things. Yeah, we did. 23:29 Um, so, you know, so, so Rakuten, you know, certainly been, been making waves and, you know, is, is really doing some exciting things relative to a, a fully cloud native and mobile network. 23:39 And that certainly, you know, has the, the capability to deliver their, their e-commerce, uh, solutions to their customers. 23:46 But, but really what they're doing is building out a, a, a mobile network to, you know, ease that, that connection to those e-commerce services, but really offer improved mobile connectivity, um, in a really, really compelling way that utilizes server-based virtualized cloud native infrastructure end to end across the network. 24:02 So very, very exciting partnership, and, and we're really excited to see where that goes next. My big thing is trying to remember how to say their name right, so that would be- Rakuten. [laughs] Yes. 24:11 They ha- well, they've had Super Bowl, they've had Super Bowl commercials, right? That, uh, [laughs] Just to get you to say it, right? That's it. That focus on how to pronounce it right. Exactly. 24:18 [laughs] So from all the things that you've had, you know, all the things right now that you've been doing, what have you seen that's really been the most exciting for you since the time you've been there that really excites you most right now? 24:30 You know, I really think what I mentioned earlier around what we don't even know yet, [laughs] uh, and, and perhaps that's, you know- It keeps changing, right? It's so fast. Uh, may- Exponentially. Yeah. I, I, I think... 24:40 I, I just think about the things that are so pervasive in our lives today, you know, the, you know, really the, um, capabilities in, you know, in the palm of our hand that simply did not exist a decade ago, that today we couldn't imagine living our lives without it, right? 24:55 I mean, I just think about, you know, the things I have to keep track on my teenagers. That's why they, they, you know, perhaps behave some of the time. 25:01 Um, but, you know, but then also just to ease our ability to move throughout the world, right? You know, i- in terms of kind of the, the sharing economy and so many different new business models that have sprung up. 25:12 You know, so it's us as consumers and also as business leaders who, who are able to achieve value. But, but then, you know, the, the new industries that have been created are just simply phenomenal. 25:21 And a- and again, those were just simply not, you know, even, even dreamt of, you know, a, a decade ago, or even, or even less. 25:27 And so, you know, that, that's what's really, I think, so compelling about the, the build out of, um, 5G and the edge, and they're often talked about really hand in hand. 25:36 They, they are unique and distinct in the sense that there is a tremendous am- there's already a tremendous amount of edge computing build out that was happening even in advance of, of 5G, but it will be spurred on by 5G. 25:46 As 5G networks come online and scale, it will just amplify the degree to which edge computing is able to be deployed, and then the value that it can in turn deliver to not just the use cases we can name today, but the ones that simply haven't even been dreamt of yet. 26:00 And that's what we see with some of those vertical markets you described, manufacturers- Yeah... what they can deliver. 26:06 And then what we think about from a sustainability standpoint of what we can do for giving back from the things that we've taken away from society, but we can give back, is a much bigger picture, right? Yeah. 26:16 And AI is an enabler for that as well. So we look at this, this whole environment right now, that we're in right now, and how quick it's changing and what we can do. 26:25 When we look at this right now and, and you kind of see things, have, have you thought right now that you said, "I don't even know, and my children don't even know"? 26:34 But have you even thought about what, how fast it's changed and your parents and your grandparents say, "Wow, I didn't even know it could happen"? 26:41 And so now do we even think about what we can do the next generation, what they could leave for us, right? I mean, that's what we're really hoping for. No, no limits. No limits, for sure. 26:50 [laughs] That is absolutely correct. Well, I have to tell you, Jeni Panhorst, I really enjoyed this conversation. 26:55 Vice President, General Manager of Network and Edge Platforms, division of Intel Corporation, thank you so much for your time. Where can our listeners go- Thank you, Peggy... to learn more about what you guys are doing? 27:05 It's so exciting right now. It is. It is. 27:08 You know, and so you can, you can keep tabs on us, uh, with respect to our network business, uh, at really our, our, our ecosystem program that we built out called Network Builders. 27:17 You can go to networkbuilders.intel.com. Um, you can... If you wanna learn more about OpenNESS, that's, that's one of the most exciting things that, that I'm working on right now with my team. 27:26 Um, you can get access to that at openness.org. It's just O-P-E-N-N-E-S-S, exactly like it sounds,.org. Um, and you can also connect with me on Twitter. So I am Jeni, J-E-N-I, _p on Twitter, so please reach out. 27:39 All right. Thank you so much. Okay, listeners, that's all the time we have for this segment. But again, if you wanna know more, you know, check out our website at connectedworld.com or thepeggyסmedleyshow.com. 27:50 But most importantly, you just learned, tweet at us at connectedwmag. All right. This is The Peggy Smedley Show, the podcasting voice of IoT and digital transformation. 27:59 Remember, with great technology comes great responsibility. We'll be right back after this short break. [upbeat music]
