 Hello and welcome back to theCUBE's live coverage here in Boston, Massachusetts for Red Hat Summit 2023. Also Ansible Fest happening now with Red Hat Summit. I'm John Furrier with Paul Gillin, breaking down all the action. Paul got a great guest here, coming in to talk about Intel and Red Hat working together. Christine Bowles, VP of Network Edge Group and the general manager of Federal Industrial Solutions at Intel, welcome to theCUBE. Big title there, I got two things going on. Yes, it is, it is, and thanks for having me here today. Daryl Jordan Smith, CUBE alumni. Senior Vice President of Industries and Edge for Red Hat. Obviously Edge, Intel, we're seeing where this is going. Let's get into, what's your role at Intel? Take a minute to explain what you do. Sure, I like to say I have the best job at Intel. Having the opportunity to work with some of the best people, partners in a transforming industry, and specifically, we can have the opportunity to, how do we apply Intel's products and technologies in the areas of aerospace, smart facilities, the manufacturing utility space, and what are those technologies that are really going to transform and digitally transform operations in critical infrastructure that we have around the globe. And it also gives me an opportunity to work with partners like Red Hat, as this world is moving to more software defined and ultimately on the path to autonomy. Daryl, what's your role at Red Hat and what's the relationship with Intel like? Well, I think Christine did a great job of stealing my thunder. She's a fantastic partner, and what we do here at Red Hat. My role at Red Hat is really focus on the industries that we engage with at Red Hat, particularly around telecommunications, industrial sector, automotive, health care, and financial services, the same name, but at least. You know, Industrial IoT, we've been writing that poll for like now, I could say 67 years around the opportunity, but also the challenges, national security to all kinds of critical infrastructure to just business. And it's a huge opportunity because it's the convergence of the two worlds, OT and IT, which we've been saying is going to be colliding for a lot of years. Has that happened? Is it happening? It is happening, and it has to happen. I mean, the real need comes from this infrastructure is limited in what it can service. It needs to be more agile. It needs to be more flexible. And what do you have? You have that in IT. If you bring the IT infrastructure into the OT world, it allows for that flexibility to happen and that transformation to happen. And then it allows for new functions like artificial intelligence and that intelligence at the edge to happen. I want to follow up on that because we were talking before we started the cameras, we were talking about what's happening in semiconductor manufacturing and the intelligence, the role of AI, and really you're out on the leading edge in that area. What are you doing in semiconductors now that other industries can look forward to in their factory floor environments? Yes, so you know, with the intelligence that you have in semiconductors, manufacturing that you need for the geometries we deal with, you have to feed forward information, you got to feedback information to adjust the processes. A lot of manufacturing doesn't have that today and you need that kind of intelligence and you need the ability to deploy that and manage those kind of operations at that level. So as the infrastructure of that IT OT conversions happens, it allows for that flexibility and that ability to bring those kind of workloads in and bring that kind of adjustment. What's the edge like these days? I mean, obviously we always talk about the edge and industrial edge really manufacturing and other things, telecommunications, you know, in Mobile World Congress, we were talking about the impact of cloud and hybrid operations. It just distributed computing is what we're seeing now is that this is the world, which is great. We all love that. Yeah, public cloud, on-premise and edge. You can have a data center the size of a couple of boxes out there. This is the new footprint. Well, there's many different definitions around edge. You know, from a core data center could arguably be in a country like Japan, long-thing country at the edge, by definition is very close to everything around it, all the way out to very large geographic regions where you might have technology that's interconnected in a very thin layer back into the core network and function. But the key thing is what you just said is hybrid. It is absolutely hybrid. It runs across multiple hybrid cloud infrastructures, on-prem, off-prem, through the mobile edge computer arena, back through the network into the core data centers. Would you say that edge is misunderstood or just too many definitions? I think there's lots of definitions. I think that people throw out edge and it can mean lots of different things. I mean, it could be a phone, it could be a car, it could be a data center. I think of you too when I hear the edge. Yeah, absolutely. They're like a great album. What, a question for both of you. What's an example of what you see a customer doing at the edge right now that really excites you? Do you want to go first? Sure, I'll go first. I mean, there's so many things that really excite me. The one of the key things I've seen more recently is in the United Kingdom where British Rail are using computer vision to not just safely monitor what's happening over a platform at the edge, i.e. if someone falls down, they might be hurt and dispatch someone to help them through to security, through to just tracking trains, leaving and arriving on time. There's a lot of economic benefits from them and actually doing that, ensuring the train station is safe and flowing properly. That's just one very simple application. Smart video. Absolutely. And what we're doing in Narita in Japan from curbside all the way through to the aircraft, not necessarily having to check anything, go through security because facial recognition allows you to flow all the way into the aircraft, all happening at the edge. Oh, I can't wait for that. Yeah, it's phenomenal. You don't want to be on those lines. What's the bleeding edge? It is. And those examples is really about that AI at the edge. You can't bring everything up. You need to process it and act on it local. I think one of the things that we are doing together and it comes out of the industry and this has been a journey. Some of these things in the industrial space has to be a journey. And we've been on this journey for about six, seven years with the Open Group and the Open Process Automation Forum that is redefining what process automation is and think of moving what happened in the telecom industry and becoming more software defined. The same thing is now through this standards is how do you do this more in the process automation space? And what we're demonstrating here at the Red Hat Summit in the Red Hat booth on the edge is an instantiation of that sitting on the Red Hat, a process automation managing an overall workflow, an overall automation system. And to think about where we have been with more closed systems to now more open systems, utilizing the assets we have from the IT industry, from the telco industry. For me, this is game changing of how we're going to ultimately be managing operations. Can you expand on that? Because this also makes me think about the trend around hardware is back and we're somewhat hardware again. It's like, don't talk about hardware. We have speeds and fees. We're not a box player, but everybody's got Silicon. They got the software convergence of chips and everyone is in the software business. It's on hardware. So that distinction of getting that level of performance at that core physical layer is the physics problem. You guys know that well. That's software now. So now you got open source and you look at some of the AI conversations where he's trying to squeeze as much software power out of the Silicon. Everyone's going through the network and to the chips. Yeah. That's pretty much an edge kind of dynamic. What is that all about? How do you guys react to that? Because this is kind of unpacking that a little bit. Yeah, it is. So I mean, ultimately, it is the hardware and the software interacting. You need the optimization. You need the acceleration in your chips, in your processors that can ultimately perform the software functions. And so we've been actually putting additional functions, whether it's for network workloads, whether it's industrial features to go into the industrial infrastructure to handle real time operations, or whether it's AI inferencing functions to make it easier. And then Red Hat can utilize those functions and optimize their software on that. And of course we work a lot in the open source community to make it happen. There was a leaked memo by Google a couple of weeks ago that opened up the Kimono, if you will, on essentially how open source got some leaked meta AI code. Open AI was donated, and the open source community ran with it. So if your software defined in the software business is now open source, which we all can agree has happened, it's the perfect innovation opportunity. How do you guys look at that? Because you want to write to the chips. You want the chip power. So we're doing much, much more to engage the open source communities, to light up if you want for a better term, the instruction sets and all these microprocessors. So we can actually get the maximum power out of them at the minimum sustainable most footprint. So sustainability is a big topic in this area as well, particularly as you move more and more to the edge, because there's a lot more compute that's happening at the edge with the AI and other machine learning innovations that are occurring there. The other thing I think from an open source perspective, which is really important is innovation. So a lot of the things that we talk about, oh, it's the edge, innovation is going to be created by software companies and businesses and individuals in the open source communities that's going to drive these applications and services. So really what we're trying to do together is expose a number of those elements for those software innovators to come to the table to look at the next generation of disruptive technologies. One of the issues of open source that sort of one of the black eyes recently has been the vulnerability of open source to supply chain attacks. Big initiative from Red Hat being announced this week about software supply chains. And just sort of the inherent vulnerability of open source projects to attack, manufacturers are nervous about that kind of thing. What do you tell them to reassure them? Really three things. The first thing is the amount of people looking at open source code is incrementally much more than a proprietary based traditional based model. So there's a lot more peer review of the code itself. So it's inherently arguably more secure in that sense and you've got more people looking at it. Big projects. Yeah, big projects. Second thing is that we're very focused on certainly from a Red Hat and open source community perspective we're working with governments to actually certify and endorse and actually secure our underlying platforms in that regard. The third thing is what we're doing with Intel in terms of connecting those things from all the way from the silicon all the way up into the application looking at security as a service. I think Christine you could probably talk more about that. Yeah, so we ensure that we're putting the best features into our silicon that can ultimately allow for the trusted boot, the trusted functions, running, operating in our silicon such that the assets of the software that Red Hat provides helps utilize it. Talk about the partnership with Red Hat from your perspective. How's it working? Give some examples of some of the things you guys done together. Yeah, well, I mean, it's a long standing. Yeah, well, you know what, I hit on a little bit earlier. I mean, if you take what we've done together in IT infrastructure, what we've done in the telecommunication and bringing those capabilities in now we're bringing that into the edge and that intelligent edge. And how do you bring that IT functions into a space that frankly has been more of a proprietary kind of closed system approach and more open it up and allow for it. And we have the know-how, we have the capabilities. Now it's just what are the specific things you need to have available in an industrial infrastructure with the lower latency, the more deterministic kinds of operations that you need in those types of systems. And security too. And security, which is foundational to everything we do. Yeah. Awesome, well thanks for coming on theCUBE. Really appreciate it and congratulations on the many, many years of partnerships. A lot of stuff you can borrow from the old generation, power management, energy, sustainability, but that integration with software, it's now open source and Intel better together. Yeah, and coupling those things together is what Intel and Red Hat do very well together. We've been doing it for many, many years. So we're really trying to drive that next wave of innovation, particularly out to the edge. Yeah, I'm really bullish on the data infrastructure, Paul. You know, as AI shows that the hype of the chat and the CPT is ubiquity under the covers, it's a lot of work to be done on performance. Compute, decoupling, the observability data. That's a theme we're hearing a lot here at Red Hat. And with Red Hat and Intel, we make it as easy as we possibly can for our developers and the ecosystem to participate. Christine Daryl, thanks for coming on theCUBE. We appreciate it. Thank you. Thank you. All right, just theCUBE covered for Paul Gill and I'm John Furrier. Thanks for watching. We'll be more coverage day one, two days Red Hat Summit coverage. We'll be right back.