Hello, and welcome to this episode of the Security Angle. I'm Shelly Kramer, managing director and principal analyst here at theCUBE Research, and today for this episode of the Security Angle, I'm joined by Joe Peterson, fellow analyst and member of our CUBE community family of analysts, and I'm joined by David Lenticum, a new member to our analyst team here at theCUBE Research. Hello, friends. It's great to see you. Hello, Shelly. Hi, Dave. Hi. It's great to be here. Absolutely. Absolutely. And we are so excited to have you. David, I know a lot of your focus is on cloud and AI and all things in between, so we are thrilled to have you on this week's episode of the Security Angle, and we are talking today about the transformative nature of cloud and AI together. And this is a topic that I am sure you have many thoughts on, David. Absolutely. Although, I kind of think you have many thoughts on a variety of topics. So I want to start with, you know, I've read about this phenomenon called the Fujiwara effect, and it's what happens when two tropical cyclones get close enough together to create sort of a shared center, and this forces the two storms to kind of whip around that shared center, and then if one storm is stronger than the other, it usually leads to the weaker one sort of being gobbled up by the more powerful one. I think there's many situations in life actually where we have the Fujiwara effect, but anyway, I think this is kind of happening with AI and cloud, and more specifically, I think that we're seeing AI actually accelerate the adoption of cloud for a variety of reasons, and of course it enhances the platforms that, you know, the hyperscalers platforms. So David, what's your take on that? It's a boom for cloud. Everybody's in a bit of a confused state right now. They don't know, you know, is it going to be on premise? Is it going to happen in the cloud? Things like that. The reality is that the cloud is the most convenient place to build AI systems because the ecosystem is already there. You can choose the engines you need, the tool sets you need, you can choose the databases that you need, you can choose any number of systems. We have about 40% of our enterprise data that's already on the cloud, so we can leverage that as training data, and it's just a matter of sitting at your terminal in a godlike way and connecting the dots between these various things, and it automatically happens behind the scenes. And so this is versus walking to a data center and unbolting stuff from a rack and, you know, bolting new stuff in. So as long as we can get by the money that's going to be thrown at this, then I think we're going to be okay. But right now, if you look at cloud computing, we saw the numbers come back last few weeks in terms of their quarter earnings and its way up and AI is all over that, and that's going to continue on for years. Yeah, it's really interesting. I will say some of the conversations that I had this last week in Barcelona at Mobile World Congress around AI wasn't that cloud wasn't important and wasn't playing a key role, but there are many clients today who actually are taking sort of those initial steps in terms of embracing AI and gen AI and that sort of thing, and they're doing it on-prem and kind of resisting moving to the cloud at these early days. And I think maybe my estimation on that is that, you know, there's still so many unknowns. People are a little bit nervous about using the cloud. What do you think about that? I think that on-prem is going to rise as well. You know, in sizing these systems up, what it's going to cost on the cloud versus sometimes these on-premise systems, even some of the micro-clouds that are starting to emerge as well, and that's kind of Plan C and some of the managed service providers as well, many enterprises are choosing to put their initial AI built systems in the data centers. And I think that's perfectly fine. As an architect, I don't care where you put it. We have to put it in the place that's going to bring the most optimized value back to the business. And sometimes that can be on the cloud, certainly if we need the ecosystem around the AI systems. Sometimes it's going to be an isolated system. It's going to do a very discrete thing. It's going to do the same thing over and over again. On-premise is preferred because it's going to be cheaper. And if you notice, the last 10 years, hardware prices are limited. Yeah. Yeah, I know. Well, and I think there are lots of conversations around AI is wonderful and it's not cheap to make it happen. But I was interested to hear so many vendors saying that they are taking some initial steps. They are very excited about how they can use AI throughout their organizations, but many of them are taking those initial steps on-prem. So I think that makes perfect sense. So the cloud, as you mentioned, we've just come off a big earnings week. The global cloud computing market continues to boom. Let's see. It's expected to reach about a $680 million market in US dollars. That's a 30% jump in the space of about two years, again, to your point, that we're seeing lots and lots of cloud adoption. So do you think that one of the things that I think that we're seeing here is there's a build versus buy mentality at play. And to a certain extent, some of the functionality, I think that people want to be able to use some of the AI-powered functionality already exists in some of the hyperscaler environments. And so do you think that some of this is why we're seeing an increase in cloud? Do you think that's attractive to people that, oh, if we want to use virtual agents and chatbots and things like that, we can use the AWS ecosystem, we can use Azure, we have some things that are built in. So do you think that's part of this as well? That's the most compelling reason to use cloud for AI. If you think about it, because all the tools are there, it's you measure the number of services and cloud providers in the thousands, not the hundreds anymore. And in terms of AI services, go to the console and type in AI systems and you'll have hundreds of different options for different tool sets. They provide training data, data hygiene tools, things like that that are needed for AI. And so we don't have to learn and integrate all these various disparate tools. They're there already for us to leverage in any way we want. And so that's why the cloud is chosen. It's the most convenient way to do it. You can certainly do it on premise and sometimes cheaper. But if people are trying to get something built fast and quick, and they're trying to get all the tool sets there, they're trying to get the ecosystems along with it, they're going to try to build it on a single public cloud provider and it can't blame them because you're getting into another set of complexity. Yeah, no, I agree. It makes perfect sense. Oh, go ahead. No, no, no, I was good. Go right ahead. Oh, okay. So they whiz in their state of AI and the cloud report came out and for this year and it showed that more than 70% of the organizations that they surveyed were looking at managed AI and the adoption rate, why both that of managed Kubernetes? And I guess that's a surprise, but not a surprise. Why do you think that the managed AI rate was so high? Yeah, it's making it somebody else's problem, which I would make the same sort of argument. I mean, the great idea behind managed databases and managed Kubernetes and managed cloud native systems and managed AI is you put it in the hands of people who do it many times for different clients. And so therefore, I don't have to hire the very expensive data scientists for expensive AI engineers and people like myself to knit it all together. I just say, hey, make this so and they go ahead and build the AI system that they need and they also maintain it, which is the harder thing to do. Because you got to remember, you're moving a lot of data, you're doing a lot of data hygiene exercises, all kinds of things that are very problematic in operations. And I think that's why we're seeing managed services and including AI as a popular option. As a business decision maker, I have to say it makes perfect sense to me. I mean, I don't want to get necessarily in the weeds. And when I'm making a buying decision like this, I know what kind of resources I have internally. I know how hard it is to hire highly skilled talent. I know we're at the beginning stages, we're dipping our toe here, we're experimenting in some use cases, that sort of thing. I mean, I want somebody to take me by the hand and do that heavy lifting all day long. And I think it makes perfect sense that we're seeing a rise in this because this is kind of uncharted territory. And if I can work alongside a vendor partner who's going to help make this process easy, this is a no brainer for me. Absolutely.  And they're very scarce. The better ones out there are all hired. And if you're not willing to go into it 100% of the way, in other words, get the talent you need to make you successful, then I wouldn't attempt, I wouldn't attempt, recommend that you attempt to do it. I recommend that you turn it over to somebody else who has to know how. Well, and the reality though, is when you work with, you know, I don't really care, I'm a huge fan of partnering and the benefits that that brings. And I think that's, you know, we're seeing this across the whole digital transformation landscape these days, right? Smart organizations learn to partner with one another and collaborate. And but I think that, you know, when it comes to this, this whole, you know, you talked about ethical AI specialists and risk mitigation as it relates to AI. And there's so much expertise that AI brings into this equation that many of us don't have on our staffs right now.  So it just makes perfect sense to me that this is a very popular thing to outsource. Yeah, right now we're at the introductory stages of it. I think people are just kind of feeling their way into what it is. When I look at what people are doing, they're learning, they're not implementing as much yet. And so we're doing a lot of prototypes and a lot of smaller systems and, you know, leveraging, leveraging LLMs as a service and all those sorts of things are in play when they finally get into it. And they realize they're going to need about 25% more talent than they would in just deploying a regular cloud system. And it's going to cost them twice as much, let's set the metrics what I see so far. So if you're unwilling to go all the way and to get the resources you need, my recommendation is to outsource what you can. Just make sure you're outsourcing, you just hit the nail on the head, a trusted partner, someone who's going to lead you down the right, the right direction. And whether it's a consulting firm or it's a, you know, vendor led organization, whatever, it's just you got to find people who know how to do it. The biggest concern to me is I don't think there's a lot of people out there that know how to build these things. And so I suspect we're going to hear a lot about a lot of field projects where they did outsource to what they thought was a trusted partner. They were led in the wrong direction and it didn't work out. And we saw that in the early stages of cloud. Suddenly everybody was a cloud expert. And I never saw them at the meetings. And they led them astray and so we had to fix a lot of things back in, you know, 2000, you know, 2013, as where people were in the cloud systems. And we're going to see the same thing here. Probably it's going to be more, it's going to be more damaging because a lot of organizations can benefit from this technology and providing the technology, allowing the technology to be an innovative durator for them and in their marketplace and build something that's really going to change their presence in the market. And they're going to miss that, that could damage the business completely. I was going to say, Dave, to your point, you know, I started architecting cloud in 2009 and people stuck their toe in and they did things like object storage.  They were just taking a piece of the puzzle and doing that work. And the other thing, just a point you made earlier, I think it was Shelley about ROI. I don't know if you guys have checked the numbers, but the hardware and the software associated with AI is exponential in comparison to just a normal server build or a normal, right? It's so much more. So to make the numbers work, you have to get it right the first time. Yeah. Yeah. Maybe GPUs are cheap. Oh, wait, no, not. And all those, all the equipment is very specialized. And if you're not willing to put together the system that's going to provide you with the basic performance that you need, then it's going to be very difficult for you to do. And you have to have a special engineering talent to pick the processors that are aligned directly to the AI systems that you're building. You know, the reality of it is I was listening to you talk about, you know, back in the cloud days and people made the mistake of working with the wrong vendors, you know, the reality of it is that that's not a new phenomenon, right?  They hadn't, you know what I'm saying, like cleaning up after other people's messes is something that we've, all of us have had to do in some way or another, right? So I think this is just another mess that somebody could, you know, potentially find themselves in. But I think to both of your points, you know, one is that I would hope that it would be fairly easy to figure out quickly if you're going down the wrong path. Not 100% sure about that. But the reality of it is their time is to your point, Joe, very much of the essence in there are things that you can miss out on if you try to go it your own way or if you choose the wrong vendor partner or whatever. So do your homework on that front, right friends? Absolutely. I think we're going to see a lot of failures and successes that are directly related to their ability to weaponize AI for the purpose of their businesses. Yeah. Yeah. You know, one thing I thought was interesting, Joe, I think you mentioned the whiz research, you know, while we're having these conversations and these are timely and important conversations, the reality of it is, is that, you know, many organizations are experimenting with AI. But the reality is that, you know, only a handful are really what we would call, you know, power users. And so some of this research showed that, you know, 32% of organizations appear to be in the experimentation phase with AI tools, totally makes sense. Deploying fewer than 10 instances of AI services in their cloud environments. And only about 10% of those have moved beyond experimentation and they're deploying 50 or more instances in their environment. So, you know, we're at those early sort of dipping your toe in the water stage for people. So, you know, it'll really be interesting to watch this play out. That's for sure. Yeah. Dave, I, you know, it's, it's a heated battle right now. When it comes to the hyperscalers in AI. And, yeah, everybody's throwing up news as fast as they can. It seems like, it's like, ooh, something else came out today. Okay. So, it was interesting in that whiz report back to that. Azure AI, which includes Azure Open AI is leading the way with 39% of the organizations using the cert service. And, right? So, if you looked at a four month slice of utilization in 23, the number of deployments rose 228%. Simple question. Why so many Azure bands? That's an easy one. Sorry. Go ahead. That's all right. I think that Microsoft saw the generative AI bubble inflating before everybody else. And so, they were the first to the party. They bought open AI, spent, you know, put a billion dollars where their mouth was, or many billions of dollars where their mouth was. And I think that's paying dividends to them right now. So, eventually, the industry will normalize, they're all moving at a pretty good pace. And, you know, what's true now in 2024 won't be true in 2025 and 2026. It's just going to be a big battle royale. It's going to be very much like the cloud in 2010. Yeah. Well, and the reality of it is, you know, AI is not new for hyperscalers, right? I mean, many of them have been using AI, we've been using AI, all of that sort of thing. But what Microsoft did is they capitalized on an important moment in time. And I think, and I think what it has resulted in is that when people think about who's doing amazing things with AI, Microsoft comes to mind because of the open AI alliance. And yeah, they were just really smart there. You got to hand it to them. In other words, they saw the value of generative AI early on. I think you got to remember, it hasn't been around for a while as far as a hype driven concept. We've known about it for a while. Certainly dealing with AI and machine learning for many years now. And we understand the ability how to operationalize and how to add it to the business. But this new dimension brought a whole new group of interested parties into this world and trying to get their generative AI systems up and running. And those are the people who are spending the money right now. And many people I talked to, they thought AI was invented two years ago with chat GPT. And so I was like, no, it's been around since the 50s. Oh, yeah. And so with that kind of mentality, people are just grabbing a market that really isn't educated yet. Yeah, absolutely.  I have to be doing that. I don't even know what it is, but I have to be doing it because if I'm not, you know, I mean, I think they're very much is a low factor at play here. You know, David, you mentioned money, let's talk about money for a minute. Now, you know, without question, the iber scalars have already spent hundreds of billions on AI innovation. But you know, the financial pressure that comes with the demand for AI is putting massive pressure on cloud infrastructure itself, you know, so the capital expenditures needed to expand and retrofit data centers and deploy GPUs and TPUs and all of that. You know, so have we already begun seeing the impact of some of that investment in earnings reports? Where do you think? Where do you think we're seeing that? Or are we seeing that yet? Yeah, I don't think we've seen it yet. I don't think they've spent the money, the big tranche of money that they need to build GPU based and HPC based systems to support AI. And so they're just doing things on regular CPUs and some of the GPU instances that they have. So we're running this stuff on traditional infrastructure at the end of the day, they're not buying GPU based systems to do that. And I think in many instances, that's going to be perfectly fine for the use cases that we're seeing now. But moving forward, they're going to have to spend a tremendous amount of money in putting very expensive, very power hungry processors into the various data centers to support the loads that are looking support. And that's going to be interesting because number one, they have a traditional business that they need to support the people who are leveraging cloud based storage and cloud based compute and things like that. And that's what people are running their businesses on these days. Are they going to divert resources from that to focus on the AI space? And is there going to be a downside that's going to happen on the traditional business side as they push more investment into the AI side? Those are the questions I've been getting a lot of recently. They see the investments being made and they say, you know, Dave, we put all we're all in on AWS are all in and zero are all in and Google are all in and all three. And we're concerned about them not building or maintaining the core systems that we need to run our business. Because guess what? AI is five years away from us. We don't really care about it. We just hear about running traditional infrastructure. That's a bit of a balancing act. I think that the cloud providers are going to have to figure out how to do. Yeah, it is definitely an interesting challenge for them. So what about security? Joe and I talk a lot about AI and security. And I know you think about it and talk about it a lot as well. So, you know, in December of 2023, Amazon, Google, Microsoft open AI joined forces to with the cloud security alliance on an AI safety initiative. And the whole goal was to create an AI framework that could be released within about a year. I've got two questions for you both here. So are AI systems subjective to normal security vulnerabilities that need to be considered alongside standard cybersecurity threats? Personally, I believe the answer to that is yes.  So talk to us a little bit about that in your thoughts. Yeah, they are. I mean, if you look at the traditional tools in the market, first of all, they're text-based, many of them. They're not object-based. And AI introduces the element of object into the scenario. So what we're starting to see is some of the tools that exist on the market being retrofitted to facilitate AI data. For example, DLP, you and I've talked about that. DLP is a tool that there are five or six vendors that have gone and retrofitted their tooling, right? And you're going to see more of that. The second thing to consider is, and I think it's a bigger problem, we as companies, you know, organizations can put out initiatives and got guardrails to their employees about acceptable behavior. But how do we police that behavior? And that becomes a problem, especially when we think about how people use and do their work. So we've got private AI and we've got public AI. And how do we put in those guardrails and make them effective when those systems start to combine? And that's what I think about. Yeah. There's a whole new realm of security vulnerabilities that come up with AI. And the big thing would be poisoning on the models, that people have a tendency not to think about. So in other words, we have the ability to deal with the authentication of the systems, but people who have access to the models can do a lot of very creative things, you know, like make them pay out, you know, millions of dollars to their SWIFT bank account on Tuesdays. And those things are very difficult to detect. So we're going to have to put parameters around that. Joe hit the nail on the head. We got to put education in place, so people are using these things correctly. And also remember, we got lots of data flying around. So excuse me, how are we going to deal with the data? And securing it, make sure it's secured in flight and make sure it's at rest. And I don't think people really get that now. They assume that the different security data standards are going to transfer to the AI systems. Sometimes that's not going to be the case. And the way you're protecting these models has to be the same in terms of the way you're protecting data. Also remember that the data can change state within AI systems. In other words, we can take anonymized data and load it into an LLM. It can figure out who that data belongs to. And suddenly you have BII information and suddenly you're violating law. And so lots of different dimensions that I have these conversations all the time. I don't think people really kind of understand the different dimensions, even people who are security experts haven't really understood the changes that are needed that are going to come up and around. Also weaponizing AI, so they're attacking systems. We've already seen that already. And that's the bad news. The good news is we can weaponize security systems using AI-based systems to become more proactive and the ability to spot attacks. And so the fun begins. Here we go. Spy versus fly. You know what? It was always a game of whack-a-mole, right? This whole cybersecurity business. But now it's like whack-a-mole on steroids. They've got their AI. We've got our AI. We're duking it out. Very interesting times, for sure. It's going to be, it's going to be, the next few years is going to be incredibly interesting because we're going to see some amazing breaches and attacks that are going to be caused by weaponizing AI-based systems. And we're going to see a lot of industries and a lot of enterprises that are caught unaware because they don't have these security parameters in place. And when they do the course mortem on why the attack occurred and they stole millions of dollars or did a ransomware attack or things like that, they're going to say, well, listen, look, we didn't understand the new vulnerabilities of these systems. We built them because we felt we needed to build them to be competitive in the industry that we're in. But we really didn't put the security parameters in place to really protect these things. And that should be something that's systemic to every step of the way. I always tell people who are doing architecture, including AI architecture, there should be security at the design phase. The minute you're dealing with the use cases, all the way to operations and all points in between, this is not something where we start bolting stuff on at the end state. And I think that's what everybody thinks is going to happen. Well, yeah, security is absolutely not an afterthought in this in this arena. And if you do, you're rolling some really dangerous dice, I think. Yes. So as we wrap the show, the last the last thing I want to talk about is just, so how far are we away from AI regulation in the United States that has even a tiny bit of teeth somewhat like what we see with the EU's AI Act? And I will say this, the EU has long been certainly ahead of the United States in terms of any kind of regulation around technology. So it is interesting to see sort of what they've put in place. And then we have our own AI Act that is relatively mild, I think a first step. And how far do you think we are here in the United States from having some AI regulation that has some teeth? I think we're pretty close because as soon as you realize the privacy vulnerabilities that we have that are exposed to us, that's going to be a call to action for the government to put some regulations in place to make sure there's some laws and some teeth and making sure we're not weaponizing this stuff against us in the marketplace. We're already concerned about privacy. We give away data, data is mine for about us all the time. But the ability to take that data and derive it in different domains and use it in different ways that are now possible with AI gets to a whole level of anti-privacy concerns that privacy concerns that we haven't understood yet. And I think once people are testifying in front of Congress in terms of what these capabilities are, we'll start seeing some bipartisan regulations starting to emerge, putting some limits and some restrictions on how we use it. It's very much like HIPAA. HIPAA grew up out of the fact that we were concerned about patient data and privacy and the data and dealing with that in HL7, things like that. This is going to basically run the same path, but it's going to be, has to move faster. They're going to have to get legislation through in the next few years or else the cats are going to be, the cats will be out of the back. Yeah.  I think you're going to have vertical specificity as it relates to the regulation. So I think regulations in healthcare, for example, like you pointed out with HIPAA, I think PCI retail will be another, but many of the disclosures that are required are largely state regulated. It is not driven by federal. So there are states that have lots of security regulations like California and then those states that don't have hardly any. So I don't know if I'm on the same page with you with this. You know, I think that we're, I think that something that we haven't talked about as part of this conversation in the whole idea of risk mitigation is that I think the onus in many ways needs to be on the brand to respect the power of AI and to respect what it is consumers are saying. You know, I think that in any, any bit of research that I've read on the topic of AI and Gen AI and, you know, questions posed to consumers, they want to know how their data is being used. They want to know when something, they're reading something that is Gen AI generated and that sort of thing. But you know, I'll give you one example. We have gotten very lazy in terms of terms and conditions, right?  Because you want to get to whatever it is you want to get to. And so we're lazy as a body of human beings, most of us. But I was just came across something in the past couple of days, people being a little bit up in arms about docusigns, terms and conditions. So docusign, who's not familiar with docusign, right? You know, electronic signatures, we use them all the time. But in docusign terms and conditions, it talks about the ability for them to use anonymized data that they feed into their LLM for any of these documents that are signed using the docusign platform. And by the way, that's automatic, you have to opt out, I believe. So you don't opt in, you opt out. But what my point here is that I've seen over the course of the last couple of days, I don't know yet how up in arms people need to be about this particular situation with docusign. Is it a big deal? I've talked to a fellow analyst here and you know, he really didn't think it was that big of a deal. But I've seen lots of consumers being really pissed off about this. And they feel like they're kind of being taken advantage of and it leads to not trusting docusign and do we need to use something else? And so my point here is that I believe that the onus is on brands to really communicate to customers what kind of data we have, how we're using it, how we're using AI in there. Because protecting that customer loyalty and brand trust is an important part of the equation here. So I think that brands really need to step up on this front. You make it great. Go ahead. Go ahead, Joe. Well, I'm not a marketer, Shelley, and you are. And so let me ask you, is there enough juice for the squeeze here from the CMO's standpoint? Is there enough differentiation to put a stake in the ground and say, hey, here's what we're doing? Because they believe that it will matter to their customers. I think it is important. All of the confusion and the excitement and the trepidation, all of these words make sense when it comes to AI and Gen AI. It's exciting times, but it's scary times. And I think that we see some amazing possibilities, but we also see big concerns. And if you're a consumer, and we think about this and we're immersed in this space all day, every day, right? And we're talking with and we're advising clients and that sort of thing. So we sort of have an advantage. But for ordinary average people, there's still so much unknown here. And there's very much, there are very much things to be nervous about. So I feel like that's something that consumers are looking for brands to be honest about, to be transparent about. And here's how we keep you safe. You both make some amazing points. I think it's going to be, people are going to have to be burned, because it's amazing to me how much privacy we're willing to give up. And then it's, you know, as a security person, it's just beyond, it's beyond belief. And I think that ultimately, people are going to have to see some downsides of this. You got to remember, there is no anonymized data anymore with AI. I can take data and I can backfill it. And suddenly I can put attributes to it and make it PI information. I can assign my name to a contract that I signed. And it can go into some big database, which is going to be useful to marketers or people who are, you know, are, are even the FBI subpoenaing that data for whatever reason, all kinds of things are going to happen where we're going to find we're giving away a lot more than we think. And I think once people realize that, that's when the pitch works and those torches come out. I agree. I agree. It is interesting times for sure. You know, I was telling, I was having this conversation when I was in Barcelona this last week and, you know, there's some really cool things about being older. And, and what I mean is that, you know, all three of us are old enough that we lived through the dawn of the internet, right? And so we know what it's like to live a completely analog life.  You know, I don't have to like go across terrible and erphetic something to you overnight, David or whatever.  And, you know, I remember running into somebody proudly saying, I don't use email.  I'm never going to use email.  But, you know, we've seen mobile devices, right? I mean, do you remember the first mobile devices and they were car phones? Because the only place you used them was in your car. And we call them a car phone for that reason. But it's so interesting to have lived through all of this evolution of technology. It's now be here. You know, we're not really at the cusp. We're kind of well in, you know, beginning the journey, but seeing another, another faction of technology that's really going to change everything in some pretty amazing ways. It is. And I think we have to prepare ourselves for that. In other words, we know what the change can bring. It can bring lots of good things and lots of value to our lives, because lots of bad things as well. You know, too much screen time on the phone and things like that that we do that we do now as a bad habit. So we're going to have to put everything in perspective and start putting logical, logical, uh, uh, gateways around this stuff. So how we're using the technology and make sure it's good ethical use. It's used for a good purpose. We're doing good with it. And we're enhancing your business. We're trying to create innovative different shaders in the marketplace. All the sorts of things are possible now, but also all the bad things are possible. And I think both things are going to occur. We're going to see some amazing successes in the next few years, but some amazing, tragic things. Yeah. I agree as well. And you know what? It is a very interesting time to be alive. I'll say that. Well, Joe and David, I think that, uh, we have reached the end of our program today and this, I knew this was going to be a fascinating conversation. I know it's the first of many that we will be having on this topic, but thanks so much for joining me on the security angle today and we will see you again next time.


Welcome to theCUBE's continuous coverage of AWS re-invent 2021. I'm Dave Nicholson and here at theCUBE, we're running one of the most important, largest events in tech industry history with two live sets right here live in Las Vegas along with our two studios. And I'm delighted here in our studio to welcome Scott Warren, US AWS Practice Vice President for Cap Gemini. Welcome. Thank you. How's the show been going for you so far? Very, very good so far. It's great to be back in person. So tell me about your role at Cap Gemini, what you focus on. You're responsible for the relationship with AWS? Absolutely. So managing the relationship with AWS and how we partner and then probably more importantly, kind of how we go to market with the AWS offering for our customers. So kind of understanding what the customer demand is, how we can help accelerate and get them moving faster out to the cloud and then building that up as well as kind of industry specific offers on how we can accelerate cloud adoption. So when you talk about acceleration, often in an organization like yours, there is the tug of war between bespoke solutioneering and prepackaged things that serve to be accelerators. How do you go about balancing those things and tell us about some of the accelerators that you've developed? Absolutely. I think it's always kind of going to be a hybrid between the bespoke and out of the box solutions. The out of the box solutions are inevitably always going to take some sort of customization or something like that to make them applicable within a customer's environment. But we all know it's very time consuming and expensive to build something completely bespoke from the ground up. So the way we really address that is we've built something in a capgemini we call the cloud boost library. It is a online GitLab library of thousands of code templates, infrastructures, code snippets that solve deploying your infrastructure and provision your infrastructure on the cloud, microservice design for healthcare and financial services and manufacturing and automotive. So industry specific, not just specific and cloud in general. And so we bring that to every cloud engagement we work on. And so our real motto around that is we should never be starting on zero, starting from ground zero on anything we push out to AWS. We can always borrow, steal, modify and change part of that library, specific to that customer demand and need and really speed up the implementation and get them out to AWS faster. Can you kind of double click on that? Give us an example of an accelerator in action. You don't have to necessarily, if you've got a customer name fantastic or you can keep it generic. Yeah, absolutely. So we work for a big financial services company that's doing kind of an online data dissemination system. So thousands of public APIs to disseminate data out to their customers and partners and vendors and things like that. So we were able to use that library so you kind of get the framework for every single one of those APIs, a template, a kind of base function for that and then use that kind of repeatedly across those thousands of APIs. We never really started from zero. So it provided 70, 80% kind of efficiency gain on that project versus kind of building it from the ground up. So with a customer like that, how did the initial engagement start? Was this a pre-existing Capgemini relationship? Was this AWS at the table, strategizing bringing in Capgemini? How does that work with your relationships with customers? Absolutely. So this was an existing customer of ours that we've been doing application management in their data center for years. And several years ago, they had a kind of a leadership change happen and a new CTO came in and he laid down the edict that they're now a cloud-first organization. So of course all of his direct reports and managers started asking, what does that really mean? And they came to us as a trusted partner and so we started walking them through our framework and template of how we bring our customers from ground zero, completely in the data center, completely to a cloud-first organization. And at that same time, we also began engaging our counterparts at AWS because we want to make sure we're in lockstep with what they're doing at AWS and kind of one consistent message out to our customer and doing the things the way they want them to be done. We want to unlock the funding programs available from AWS to incentivize that customer to move out to the cloud and then really having that kind of three-legged partnership with us, the customer in AWS is put them on the right path for success and in faster adoption of the cloud. Cap Gem and I didn't just roll out of college a couple of years ago. Been around a while, been around a while. So you have an interesting perspective because you just mentioned being involved in the management of a customer's environment, their IT landscape. Yep. That is outside the preview of cloud at least at some stage of the game. How do you turn being a legacy provider of services into a superpower instead of a liability? Absolutely, yeah. How do you do that? And the reason why I say that superpower is because you said Cap earlier and I thought I thought Captain America, but it's a serious question. Some would say, well, Cap Gem and I, legacy. No, no, no. What's your reply? Absolutely, so what we found is the most important thing about a move to the cloud is understanding the entire application portfolio and landscape and the best way to move it to the cloud. Some applications that are very prime for a lift and shift, we just want to get them out of the data center into the cloud very quickly. Other ones that are very mission critical, customer facing, very important for the future of an organization, really need to be looked at with a more modern lens in the clouds. How do we modernize this, make it cost effective and in a long term asset that's going to run in the cloud in a Paz or SaaS based service offering rather than just IaaS. So all the legacy work and the previous work we've done for our customers, we understand their application and data center landscape better than they do in most scenarios. So having all of that data allows us to feed that into kind of some of our tooling around assessing applications and figuring out the best migration path or modernization path. So all of that legacy knowledge kind of puts us in the driver's sheet for being the best partner to actually help them with that cloud modernization. So with your AWS responsibility, as part of Cap Gem and I, it's a bit like having a foot on the dock and a foot on the boat. In terms of an individual customer's requirements, obviously Cap Gem and I can continue to manage what we would refer to as legacy infrastructure while helping to modernize and migrate to cloud. What about the sort of combination of the two that represents the future, specifically AWS's support of hybrid cloud technology, the idea of outposts. Is that something that you're involved with? Absolutely, and we're seeing kind of outpost adoption trend up recently actually. So when we see in certain sectors where a lot of work is being done on the edge, a great example is an agriculture company we work for that has field and soil and weather sensors all over the planet. So monitoring the moisture and the soil, the nitrogen levels, the wind, air pressure and temperature and humidity. And oftentimes those fields are in very remote, disconnected locations. So we're seeing things like outpost and snowball edge and different services like that become more and more prevalent for those edge use cases where compute can actually be done on the field and decisions can be made by the farmers or the planters in the field at real time. And then when connectivity comes, comes back around they can actually beam that back to AWS if necessary. The other kind of scenario we see outpost really being prevalent is in very sensitive data scenarios. So we have customers in federal government work or things like that. There's just some data due to regulatory compliance that cannot be on the public cloud now at it yet. Yet being the key word there. So outpost becomes really important in those scenarios where the vast majority of the data and the assets go out to AWS but the very, very sensitive data due to regulatory reasons we keep in the outpost and can still kind of harness the power of AWS on that. And that brings up another interesting subject. The difference between where technology actually exists today and where people exist culturally today in terms of their acceptance and adoption of technology. There are absolutely cases where data residency, data governance requires that it be on site. Then again, there are a lot of cases where people are just concerned about not having their arms around the data. So the perception that it isn't as safe in the cloud as it is in the customer's data center is often misguided. Very much so. Perception. But so that's obviously an inhibiting factor to cloud adoption in some way. What are some of the other things that you see that are headwinds? Because it's been talked about widely here. 80% or more of IT spend is still what we would think of as on-premises. The data center, yeah. And not cloud. Those lines are being blurred with things like outpost. I contended in five years when we talk about cloud that's going to be sort of an irrelevant term. Because it doesn't matter where it is, right? It's all virtualized. Compute and storage somewhere, yeah. What are the headwinds that you're seeing? And again, they can be irrational headwinds or they can be technical bottlenecks. Yeah, so I think the biggest one is business understanding what the cloud is and them adopting it. I've had a couple of meetings that were a new thing for me this week where I met with the chief marketing officer for one of our customers. So I'm normally meeting with CTOs, CIOs, VPs, directors in the IT space, but this marketing officer wanted to meet with us. And she was kind of very cloud knowledgeable. She understood IaaS, SaaS, PaaS, and the costing models of cloud consumption and some of the services. And her organization's kind of already all in on AWS. And she had seen this happen, this transformation happen on the IT side. And she wanted to know how can I, as the head of my marketing department, start to harness the power of the public cloud to drive business outcomes within my area. And that was a really interesting conversation for me that kind of got me thinking that I think the business is going to start understanding and the lines between IT and business are going to begin to get blurred a little bit with the power of AWS and other hyperscalers and all the capability that's available to our customers once they get moved out there. In today's keynote, Swamy talked a lot about data and the data-driven companies, or rather companies that are not data-driven are going to be left behind. And if that was interesting in the survey, he mentioned 9% of companies reported not looking at data at all for their decision-making process. We need a list of those companies so we can short their stocks, right? And we can help them out. Or you can help them out. Or you can help them out, exactly. I'll refer half to you and I'll short the rest. How's that? Is that a deal? But so within your world of things you do with AWS with Capgemini on behalf of customers, what are some of the tip of the spear things that are the most exciting from a buzz perspective? And what are sort of the next gen things that you're thinking of? It could be something you literally just heard about announced over the last couple of days. What is the future hold? Absolutely, we kind of look at that as what we classify our intelligent industry offering. And so it's really industry-specific offers and services that are going to kind of change how specific industries do business. A really good example is we do a lot in the automotive industry. We started working with the OEMs that are kind of producing electric vehicles and autonomous driving vehicles. We've actually built a framework that lives on top of AWS called Connected Mobility Solutions. So connecting all of the driverless functions of a car back to the mothership or the cloud instance. And I think things like that are really kind of tip of the spear where it's again, out on the edge not in a data center or in a cloud but gathering all that data from connected devices in different areas and kind of how we're going to manage that and enable that and make it secure and safe and reliable and things like that. Yeah, I have direct experience with some of that. I have a car that won't allow me to access all of its self-driving features. I bet I can guess what car that is. Because of the way I drive. Yep. Which, you know, so the cloud is not all wonderful. It's not all lollipops and rainbows.  So Capgemini hasn't just been a standalone organization. You've absorbed and merged with all sorts of different organizations. I imagine you have organizations that are specifically focused on AWS in addition to other clouds. Absolutely. How do you manage that culturally? It's a good question. So three years ago, we as the Capgemini group as a whole entered into a three-year partnership called Project Liberty with AWS. And it was a three-year plan. We had targets and numbers on both sides, but it really kind of unified how we were going to do AWS and cloud work across the Capgemini organization, all working under one program towards one common goal, developing accelerators and solutions and go-to-market offerings kind of with one thing in mind to drive that AWS partnership and growth. So that's really been kind of the big driver for us within Capgemini over the past three years is that what we call Project Liberty internally. And then just recently, about a year and a half, maybe two years ago, we acquired one of the world's leading digital engineering firms called Ultron, big presence in Europe, Southeast Asia and North America. And they brought kind of a whole new flavor of how we do cloud when we're talking about digital twin in the cloud on the factory floor and actually engineering of products and driverless vehicles and electric vehicles and things like that. So bringing Ultron in and being able to include them in our overall kind of cloud AWS message and bringing their book of offers in has really expanded our offering as well.  Are you faced with the same challenges that others are? Which is we need educated people. Give the pitch so my kids hear it so they understand. Absolutely. So the graduate, it was plastics, right? That's the future. Cloud services, without Capgemini, all the technology that AWS produces is essentially worthless if you can't connect it to business value and outcomes. And that's what you do. So how has that looked for you? We've got the closing in it. Yeah, same talent challenges as everyone right now. So we're really taking the thought process of let's take people who aren't traditionally in the technology field and begin training them up on the cloud in the different technology areas. Do you do that at Capgemini? We do that at Capgemini, yeah. So we're running in conjunction with AWS, big boot camps where we bring people in. Who are these people? I'm not to interrupt you, because absolutely a few seconds left. What's the profile of some way? Yeah, yeah, so a lot of, I want to hear the unconventional ones. Not the computer science person who doesn't know cloud. Who are you bringing in on this program? Yeah, new college hires who majored in the non-related IT field completely. Psychology, social sciences, whatever it may be. But who have the aptitude and kind of the want to learn cloud in IT, so we bring them in. And then looking in our Capgemini organization internally at our recruiting organization, our marketing organization, our partnership organization, and some of those people who are early on in their careers and may want to pivot to the technology side, we're starting to ramp them up as well. So it's been a very effective program for us and I think something we're going to continue to invest in further. That's a great, that's a very satisfying part of what you do to be a part of that. Absolutely, yeah, absolutely. Well, Scott, I got to tell you, it's been a great conversation. For the rest of us here at theCUBE, our continuous coverage continues here at AWS re-invent 2021. I'm Dave Nicholson, signing off for a moment, but keep it right here. theCUBE is your technology hybrid event leader.


The VP9 Golden Eagles Patrol Squadron prepares for exercise Seabreeze 15 air phase by conducting pre-flight checks and refueling the aircraft. Seabreeze, now in its 14th iteration, is an annual exercise held in the Black Sea, which seeks to enhance interoperability and strengthen regional security. Lieutenant Christopher Calavanico describes what the squadron aims to achieve in this exercise. So the purpose is obviously to promote stability and security in the Black Sea, us along with the Ukraine are co-hosting this exercise. For our part in this exercise, pretty much we're doing a few flights up in the Black Sea, which today would include an E-MAT, so the mobile tracker that we launch up from our aircraft and we practice our ASW. The VP9 Patrol Squadron uses many different tools to achieve its mission in the Black Sea. These tools include different computer systems and sonar technology to maximize mission success and assist allies at sea. Participating nations include Bulgaria, Germany, Greece, Italy, Moldova, Romania, Sweden, Turkey, Ukraine, the United Kingdom and the United States. Eddie Officer at Logan Pister, Sudabay Free.


Hey, this is Brett and this 2016 Ram 1500 Crew Cab 5 foot 7 inch short box Laramie is stock number 14290Z. I am here at Summit Automotive in Fond du Lac, Wisconsin, you're new and use light duty truck and Ram headquarters. This 2016 Ram 1500 has the 5.7 liter V8 Hemi engine. It's paired up with the 8 speed automatic transmission. This truck has been fully-safetyed and inspected by our service shop for the state of Wisconsin inspection process. It has a fresh oil and filter change on the fluids have been checked and topped off and it is 100% ready to go. Very clean all the way around on this truck and that's exactly what I'm going to do in this video. Go all the way around inside underneath, start it up, take a look under the hood show you all the options and give you the most accurate representation that I can of the vehicle. Brilliant black crystal pearls color show all my videos in 4K. If you like the video subscribe to the YouTube channel, click the bell notifications and by doing that you can stay current on our ever-changing and vast inventory here at Summit Automotive so that you don't miss out on gems like this truck. This one comes with the 20 inch factory alloy wheels with the chrome covers and it has a Goodyear Wrangler Dura Track tires. These are 27560R20s, I would say that they have 70 to 80% of the tread left on them and the frame and under body is in really nice shape. This is a one owner clean title history from Wisconsin. Front fender is in excellent condition, no dents or dings on there, you get the projector lamp headlamps, LED running lights, factory fog lights, front bumper parking sensors, no major dents or dings on there. Get the chrome trimmed grille, the hood is in excellent condition as well, I didn't see any major dents or dings on there and the passenger side front fender, very nice and clean as well. Passenger side front wheel, no scuffs, no scrapes, no brake dust or anything looks really good. You get the brilliant black crystal pearl, look at all that metal flake in there, a lot of purples, blues, greens, really a cool color and just look how nice that paint is. You can tell that the owner that had this truck really took care of it. As you go down this side of this 2016 Ram 1500, take note of how clean the body is, how reflective and mirror like that paint is. I take these HD videos so if you're far away or if you're close by and just cannot make the trip down, you can still see the vehicle, hear the vehicle and have confidence in what you're looking at before you even get here so when you do get here, there's absolutely no surprises and you can make a smart and informed buying decision from wherever you're at. Now if this video helps you make that buying decision or just make the decision to come take a look at the truck, let your salesman know that you saw the video, it was helpful and that Brett sent you. Back wheels in excellent shape, back tires have just as much tread as the front tires. You get the plastic wheel well liners which keeps your frame and underbody looking great. I mean that does not look like a 2016 under here. Very clean. Lower rockers, cab corners are in great shape. You get the wheel-to-wheel side steps, those are factory steps, you get the fender flares with the Laramie package. Get around to the back of the vehicle, the rear bumpers in great shape. Get the chrome-tipped dual rear exhaust, backup parking sensors, the full towing package which includes the receiver hitch four pin and seven pin wiring and the tailgate is in really nice condition, I didn't see any major denser dings on there. Comes with an access soft roll-up tonneau cover that is in really nice shape as well. And you get a spray and bed liner. The LED bed lighting back here as well. And the bed is in really nice shape. That bed liner goes onto the tailgate which is a nice feature as well. Coming around to the driver's side just as clean as that passenger's side. No major dents or dings on the box. And for full disclosure this back wheel is just as nice as the rest. Cab and doors all look fantastic. You get the heated power mirrors, built-in directional signals, enter and go system, you just have to have the key fob in your pocket, put your hand in there and it will automatically unlock.  You get a load floor back here which is nice if you've got muddy boots or tools, put them on there.  You've got a nice flat-placed delay and they're not going to get your seats dirty. Storage underneath there, factory floor mat back here, in-floor storage with removable bins for easy cleaning. You can put ice and drinks in there and it's like you have too many coolers wherever you go. There are your heated seat buttons and a 12 volt power point. Child safety locks on the back doors, the inside and bottoms of the doors all look fantastic on this truck. Show you the VIN sticker, no previously owned in Canada trucks here, there's the tire and loading information sticker.  You get the Laramie embossed backrest, side curtain airbags, memory driver's seat, home bar power seat, factory floor mats up front as well, auto headlamps, power pedals, power windows locks and mirrors, you get the leather bolster and the wood grain trim on the doors and these mirrors do power fold in. I always like showing both sides so that you know that both sides are working properly. We'll hop inside, check out the miles, the radio and everything that this one has to offer on the interior. You get the Laramie animation at the beginning there, the 7-inch LCD display. This truck has 51,765 miles, you get the digital speedometer, compass, average miles per gallon, outside temp and you can change all those corners to read whatever you want. Instrument cluster is nice and clean, comes with the heated leather wrap steering wheel, cruise controls, gear selector on the right, Bluetooth and information center controls on the left hand, audio controls in the back of the steering wheel, so it comes with the 8.43C radio, you get AMFM and SiriusXM radio capabilities on here. This one does have the factory navigation system, there is Highway 41 so that is working nicely.  Now if you don't like using the radio, you can use more tactile volume tune and climate controls down here, you also have your 8 speed automatic transmission, push button four wheel drive with a four wheel drive auto feature, push button start, heated cooled seat buttons, heated steering wheel controls, stability control, tow haul, front door parking sensors right there and 115 volt, 150 watt plug-in, keyless entry with remote start and this one does have the Alpine premium sound system in it, passenger side floor mat and seat are in excellent condition as well, smells very clean inside this truck, I don't think it's ever been smoked in, you get the speakers and the ceiling part of that Alpine premium sound system, factory fog lights or factory fog lights, factory reading lamps, map lamps, power side rear window button and home link buttons for your garage door security systems and lane systems, assistant SOS, assistant 911 buttons in the mirror. We'll start it up and take a look under the hood, starts right up, no check engine lights or anything like that. I would personally like to thank you for checking out the video today and hopefully from this HD video, you've been able to verify the quality, condition options and of course cleanliness of this truck all the way around inside and out, all the lights are working very nicely. Under the hood, we have the 5.7 liter V8 Hemi engine, engine base very clean, runs very smooth and once again this truck has been fully safe and inspected by our service shop, has a fresh oil and filter change, all the fluids have been checked and topped off and this truck is 100% ready to go. I would highly recommend this truck for make quality and condition standpoint, I'd ship this one to California, Texas, New York, Florida, yes 2016 with over 50,000 miles I would ship this one anywhere, it is that nice, whoever is going to get this one is going to be very happy with it and to see more pictures of this truck or one of our other 550 new and used cars, trucks, SUVs, minivans, Wranglers, you name it, we got to go to the website right there, summitauto.com, full pictures and descriptions of every single vehicle all at summitauto.com. If you want to check out more HD videos you can go to youtube.com slash summitauto. Click the bell notifications, you'll get updates on the videos I do each and every day and stay current on our ever changing and vast light duty truck inventory here at Summit Automotive, don't miss out on any gems like this if you click the bell notifications. In fact, in a second you'll see a link to subscribe to that YouTube channel on the upper left, a link to all the Ram 1500 truck videos I've ever done in the upper right, link to this vehicle on our website in the lower left and a link to one of our latest YouTube videos in the lower right. Click those, check us out, we're super excited to help you with this Ultra Clean 2016 Ram 1500 Crew Cab 5.7 inch short box Laramie in brilliant black crystal pearl. Thank you so much for checking out the video, remember to like, subscribe and share on the YouTube channel. I really appreciate it. Thanks again.


Hey, this is Brett, and this 2022 Chevy Silverado 3500 double cab long box dual rear wheel work truck is stock number 13360Z. I am here at Summit Automotive in Fond du Lac, Wisconsin, your new and used heavy duty truck headquarters. This 2022 Chevy Silverado 3500 has the 6.6 liter Duramax diesel engine, puts out 445 horsepower. It's paired up with the Allison Heavy Duty 10 speed automatic transmission. This truck has been fully safety and inspected by our service shop has a fresh oil and filter change. All the fluids have been checked and topped off and it is 100% ready to go. Silver Ice Metallic is the color and I shoot all my videos in 4K. So if you have HD capabilities, turn them on now because it is your best way to check out the quality, condition options, and of course cleanliness of the truck before seeing it in person. Very clean down the driver's side here. The driver's side duly tub looks really good. No rock chips or anything like that, looks really clean. Cab and doors are in fantastic condition as well. And the front fender is in very nice shape too. If you like the video, you can subscribe to my YouTube channel, which is youtube.com slash Summit Auto. Click the bell notifications, you'll get updates on the videos I do each and every day here at Summit Automotive. Very nice down that side, this is the work truck package. Comes with the steel wheels and the chrome tips there and it has Michelin Primacy LT235 ADR17 tires. They have just about all the tread left on them. Frame and underbody is in excellent shape. This is a one owner, clean title history, clean car facts out of Missouri. Front bumper is in fantastic condition. No dents or dings in there, it does have the front bumper parking sensors. The grille is in really nice shape and the hood is in fantastic condition. Does have the coal induction hood, it is a fully functional coal induction hood. I'll show you how that works in just a little bit. And it does have the cab lights up top. Passengers side front fender, really nice shape in the passenger side wheel. No scuffs or scrapes. Now as you go down this side of this 2000 and 22 Chevy Silverado 3500 double cab, take note of how clean the body is, how reflective and mirror like that paint is. I take these HD videos so if you are far away or even if you're close by, just cannot make the trip down but you're still interested in purchasing the truck. You can see the truck here, the truck and of confidence in the vehicle that you're looking at. Before you even get here, so when you do get here there's absolutely no surprises. You can make a smart and informed buying decision from wherever you're at. If this video helps you make that buying decision, let your salesmen know that you saw the video that it was helpful and that Brett sent you. Back wheel is in excellent shape and the back tires have just as much tread as the front tires. Frame and underbody, got a little bit of dirt on there but rather dusty than rusty, right? Frame and underbody has all the remaining factor exhaust. It's about the same all the way in here. Just on that frame there, old dirt, not for too bad. Low rockers, cab corners all look good. It does come with the factory step bars. You get side box steps on there as well. No major rock chips or anything on the front of the dually tubs. That's always good coming around to the back. Rear bumpers in great shape, does have the backup parking sensors, rear bumper steps. Full towing package, of course, which comes with the receiver hitch, four pin and seven pin wiring. And the tailgate is in very nice shape as well. It is a power drop down tailgate. So that comes down like so. You can drop it down from the inside the cab as well. Comes with 120 volt, 400 watt plug-in right there. And fifth wheel and goose neck prep package as well. You get four pin and seven pin wiring back here too. Spray and bed liner is in nice shape as is the bed. And that bed liner goes onto the tailgate. Shuts nice and solidly. And for full disclosure, this back wheel is in nice shape too. Down the rest of the side of the truck, the cab and doors are in fantastic condition. I didn't see any dents or dings in there. Does have blind spot monitoring, heated mirrors, built in directional signals and LED segments. These mirrors telescope out like so and they fold in like that. It is a manual telescope. Inside the work truck package gives you the black cloth interior 40, 20, 40 split bench seating in the front. No rips or tears in the seats. They are in very nice condition. Comes with a set of weather tech floor mats in the front. Auto headlamps, cargo lamps, push button, four wheel drive, tilt, telescopic steering wheel, power windows, locks and mirrors. And these mirrors do power fold in. I always like showing both sides. So you know that both sides are working properly. Back seats, just as clean as the front seats. No rips or tears back here. Does have the latch child safety system for any child car seats you may have. Fixed glass rear window with the rear defrost. Those headrests fold down for better visibility when nobody's sitting back there. And these seats fold up like so. And it has a set of the factory all weathers back here but it does have the rubber floors. So those are pretty easy to keep clean. Child safety locks on the back doors and the bottoms of the doors all look like new. As long as we are standing here, tire loading information, as well as your trailering information. And then the VIN sticker. Always like showing those. People seem to like them. Pop inside, check out the miles, the radio and everything that this truck has to offer on the interior. You can see that this one has 5,251 miles. You do get the digital speedometer on there and miles to empty. Steering wheel has cruise controls on the left and adaptive cruise controls as well. So kind of crazy with a work truck package that you get the adaptive cruise controls on there. Bluetooth and information center controls on the right. There's your Allison transmission shifter with the optional tap shift. And this one has the Chevy infotainment system. You get AM FM and let's see if we can, has AM FM and Bluetooth capabilities on it. You also have a projection area where you can project your cell phone to the screen with Android Auto or Apple CarPlay. So while this one doesn't have the factory navigation system, project your cell phone to the screen with Waze or Google Maps. And it's like you have Navra in the screen. So that's pretty sweet as well. And you can check out the backup camera and they've made those pretty clear on the GMs now. Down here are your climate controls, your factory exhaust brake, parking sensors, power drop down tailgate, hazard lights, stability control, that's how you turn on the plug-in in the bed of the truck. Down here you get the factory brake controller, USB-C, USB 12 volt power point and a 120 volt, 150 watt plug-in right there. And that weather tech format is very clean. I don't think this truck's ever been smoked inside. Pass under side seats in really nice shape and the headliner is in great condition as well. You get map lights up there and we'll turn on started up and take a look under the hood. Starts right up, no check engine lights or anything like that. Also wanted to show you that this one has the cargo cam in the rear view mirror and use that button right there to turn that on and off, which that is honestly the first time I've ever seen that. So pretty cool. I'll probably have to update my ad and we'll take a quick look under the hood. There's the LED side lights, they are super bright. Turn those on with the cargo lamps. I would personally like to thank you for checking out the video today and hopefully from this HD video you'll have been able to verify the quality condition options and of course, cleanliness of this truck all the way around inside and out. See a cab lights are working nicely under the hood. Have the 6.6 liter Duramax diesel engine engine is very clean, runs very smooth. Once again, this truck has been fully safe and inspected by a service shop has a fresh oil and filter change. All the fluids have been checked and topped off and this truck is 100% ready to go. There is the emission sticker. This is where they put them on the 2022s now. That's for Jack and air comes in there, goes down to the cowl induction hood, comes down to there into the air cleaner. That's how that works.  I would highly recommend this truck for make quality and condition standpoint and to see more pictures of this truck on one of our other 550 new and newest cars, trucks, SCVs, minivans, wranglers, halftones, three-quarter tons, one tons, you name it. We gotta go to that website right there. Summitauto.com, full pictures and descriptions of every single vehicle from two locations. All at summitauto.com and if you'd like to check out more HD videos, you can go to youtube.com slash summitauto. Remember to like, subscribe and share on this video and all the videos that you see there. Click the bell notifications to get updates on the videos I do each and every day here at Summit Automotive. In fact, in a second you will see a link to subscribe to my YouTube channel on the upper left. Links more Chevy 3500 truck videos down in the upper right. I'll link to this vehicle on our website on the lower left and a link to one of our latest YouTube videos on the lower right. Click those, check us out. We're super excited to help you with this ultra clean 2022 Chevy Silverado 3500, double cab long box, Dewey, work truck and silver ice metallic. Thanks again for checking out the video. Remember to like, subscribe and share on the YouTube channel. I really appreciate it. Thanks again.


Hi, everyone, Joe for Jasper's casebreaks.com. Happy Sunday, coming at you with 2021 Top's Chrome Formula 1, Formula 1 Racing Mixer. That's a three box mixer, number six, featuring a box of hobby and two boxes of light. All-card ship. And there are the list of teams right there. Big thanks to this group for making it happen. And there are the racing teams right there. The F1 teams combo it up with some F2 teams. Let's roll it, randomized names and teams, three and a six, nine times for names and teams. One, two, three, four, five, six, seven, eight, and a ninth in final time. After nine, we've got Oliver Smith down to Andrew Martin. Three and a six, nine times for the teams. One, two, three, four, five, six, seven, eight, and a ninth in final time. After nine, we've got Williams down to Alfa Romeo. All right, so here's how it shakes out. Oliver, you've got Williams, David with Mercedes, Alphatari, Astmarne, and Red Bull. Good draw there. Logan with Rinalt, NBWT, David with Ferrari, Brian with Haas, Logan with Alpina, Leo with McLaren, and Andrew with Alfa Romeo. Let's order these alphabetically. And we're going to pause video. I doubt there's going to be any trades, but we'll pause video and see if there's any trades to be made when we come back. We'll have the break. Stick around, B-R-B. All right, welcome back, everybody. No deals were done here, so that list remains the same for three box break number six. We've got another three boxes in the store. And I think we've got, let's see what we have. We only have two more breaks of this afterwards. So the one on this, the one currently on the site, jaspyscasebreaks.com, and then we got one more after that. So break seven and eight will be the last three box mixers. So the light features the ray wave parallels. There's only four and 16 hobby here. Has possible autographs, four and 18 are here. We'll do the light boxes first. And there may be an interruption in the middle of this break because there may be some food being delivered to me and front door lot. All right, F1 season starting soon. Right, is F1 season this week? When's the first race? Okay, so the first Grand Prix is in Bahrain this week. So qualifying on Saturday, the 19th, and then Sunday will be the race itself. I'll have to see what channel is this on. Yeah, Sunday's the first race, I'm saying. I'm considering, considering because I'm never, never awake early enough for it. There is an F1 TV package. I'm not considered getting that. Stand by, got an arrival here. All right, thanks for your patience here. So obviously all card ship, we're gonna set aside these special parallels here. Like that's nice, right there, the Lewis Hamilton, Grand Prix, ray wave insert. We'll have all those top loaded by our shipping team, we'll sort that out. There'll be a lot of these Grand Prix inserts here. George Russell, ray wave, which are exclusive to these light boxes. Now we're trying to look for like this, but like low numbered, numbered, any kind of numbered. It's a nice max for stopping. Refractor, it's for David. David has both Mercedes and Red Bulls, he'll be getting all those max for stoppings and Lewis Hamilton and whatnot. Red line, Red Liners mixed Schumacher rookie card for Brian Croft as Haas. Landau Norris is a driver that I'll be supporting this year. Nice Sebastian Vettel to 99. That's the kind of stuff we're looking for ladies and gentlemen. 32 out of 99. For Aston Martin, it's kind of a color match there with Aston Martin, right? That is for David with Aston Martin. There's Landau and we got up here, Gasly for Alphatari. That's going to go to David as well. And we got a nice Landau Norris, purple checkerboard or X-Fractor, whatever you want to call it, checkered flag parallel. It's for McLaren, that's going to be for Leo with McLaren. 194 out of 199. One of the younger, possibly up-and-coming stars. And we got out of 399, Nicholas Lofty, purple chrome for Williams racing, it's for Oliver. Oh, F1's 11 a.m. Sunday on ESPN, nice. There's Yoast Capito for Williams. Another checkerboard here that is for McLaren. Andres Seidel, you know, the team principal. Ooh, and some red. I feel like we're seeing some nice parallels here. That's Daniel Ricardo, not numbered. But that's Landau's teammate, Leo with McLaren. All right, there's our first light box, next box. So 11 a.m. ESPN, that's actually not a bad time. 11 a.m. I don't watch a lot of television. So I don't have a DVR. I used to for a while, but I never really used it. But now with these early F1 matches for races, maybe I want to get some F1 TV. How much is this going to cost me? F1 TV Pro, $80 for the year. That's not bad. I can live stream every track session for all Grand Prix, access all driver onboard cameras and team radios. Can also live stream F1, F2, F3, and the poor Super Cup. And I've got on-demand options, full race replays and highlights, on-demand access to all F1 onboard cameras, all replays, and F1's historic race archive. Doesn't seem too bad. That's more green down there. Let's flip away from NFL total access because my Lakers are in Phoenix about to get torched by the signs. And Orlando Norris, Rey Wave for Leo and McLaren. We've got a Lewis Hamilton base card. There's a Max Verstappen refractor. Grand Prix, driver of the day. Insert, there's Valteri Bottas. And there's Esteban Ocon for Alpine, Rey Wave. Going to Logan Smith. Love these checkerboards that are coming up here. And that's Nikita Mazepin, not be racing this year. But that'll go to Haas. That'll be for Brian Croft. Another Lewis Hamilton red-liners refractor, Kimi Raikkonen. This looks like a, is that a different insert? Yeah, so just, I don't know which one the, they're just multiple base cards.  Ooh, and the nice Lewis Hamilton, Rey Wave. Maybe there's a number of different Lewis Hamilton base cards. That's for David and Mercedes. Lewis Hamilton, Grand Prix, Great Britain. Pretty famous race track out there. Ooh, and an orange Lewis Hamilton, nice. Formula One award winners. That's a nice one for David and Mercedes. Oh, I thought that was going to be number 25. It's not, but still cool looking insert. There's a Bottas, Rey Wave. And here is a green, Rey Wave, Yuki, Sonoda. For Alphatari. And that'll be for David as well. That's 10 out of 99. Logan, you hope that the Lakers dominate? I mean, I hope so too, but they're having a rough season this year. To 399, we've got Dan Tictum, F2, Carlin. Combo to Alpine, that's for Logan Smith. There's appeared Gasly Purple. Italian Grand Prix winners. There's another insert. Grand Prix winner insert. Max Verstappen for Red Bull. There's Tictum once again to 399. All right. So those are your two light boxes. Let's see what we got in the hobby box. So the hobby box has a couple extra packs and autograph opportunities. Extra blue on those packs. Is that some gold down there? We'll see. We'll find out. We're going to lead off with those Hamilton award winners, Max Verstappen again. All those, of course, going to David, who has both Mercedes and Red Bull. That is number. There you go. Three out of 25. Sebastian Vettel. Red Liners insert for Aston Martin. David with Aston Martin as well. Nice out of 25. Those low numbered cards, especially for bigger named drivers, will definitely go for a lot on the secondary market. And a nice checkerboard, Charles Leclerc for Ferrari. Ferrari looking to get back to their winning ways. David has Ferrari. Another Verstappen here. And we got a nice 004 out of 199 purple checkered flag. Louis Hamilton. Grand Prix driver of the day. It's a cool overhead shot of his car there. 004 out of 1 at 99. Nice one for David and Mercedes. It's Louis Hamilton in Belgium. There's Max Verstappen's car. There's Max Verstappen in Russia. And it's Franz Toast for Alphatari. Gold parallel. So I think the Russian Grand Prix is canceled, right? Does it get replaced with another race? Right, it has been so. Sam, do you know if they're replacing? I mean, I would imagine they would have to replace it with another race, right? Louis Hamilton refractor. Looks like, oh, and then in Antonio Giovanazzi, 267 at 399. Nice purple parallel there for Alfa Romeo. That'll be for Andrew. I guess it's not until September. So maybe, gosh, hopefully, all that craziness will be over by then. Maybe they'll think about putting it back, or maybe they won't. I don't know. We'll see. We'll join us all summer long, ladies and gentlemen. We'll try to rip as much of this Formula One per availability. And I'm really making an effort to try to watch more Formula One. I like auto racing. It's pretty fun. So we'll try to keep chatting about all the NASCAR and F1 goings all summer long. Thanks for watching. Thanks for joining us. Another three box mixer up on the site. So check it out on jazvescasebrakes.com. Bye-bye.


Is this how you are planning to solve the questions in UGC net exam that you have zero knowledge about? Well, if yes, then this video is for you. If not, then still this video is for you. Hey friends, my name is Alpata Karba and welcome back to your favourite channel for UGC net exam preparation. Today I am going to tell you a secret strategy, a mystery source on how to solve MCQ questions in UGC net exam. Well, MCQs are a great way to score well. Earlier, UGC net exam used to happen in subjective mode. The disadvantage of a subjective paper was that it was too lengthy an energy draining. On the other hand, objective exam or MCQ type exam is a blessing for UGC net aspirants. But over the years, a lot of students have brought this concern to me that ma'am, how do we solve such questions? A lot of them even panic in the exam hall and are unable to get through the entire exam. So friends, before I start this video and tell you the secret strategy, I want to give you a disclaimer. It's okay to not know 100% questions when you sit for an exam as difficult as UGC net. Even if you have studied for months or if you are extremely confident, there will be a possibility that you will not know about 40% or 30% of the questions. I repeat, do not panic in this state. Understand that this state of not knowing everything in the question paper is very common for UGC net aspirants. In fact, I will tell you a fun fact. Even if the UGC experts or paper setters themselves appear for this exam, they will also not know 100% of the questions. Why is that? Because UGC net exam syllabus is very vast. What we know is like a drop of water and what we do not know is like an ocean. And hence, it's normal to not know every question. It's normal to not be familiar with every answer. Another important disclaimer I want to state is that no matter how many tricks or tips we talk about, nothing is a substitute for your knowledge. The more well read you are, the more is the probability of you scoring high. Smart work is not a substitute for hard work. But yes, smart work can ensure that your hard work pays off well. So let's get started and see how you should be solving MCQs in your next UGC net exam. As soon as you get the question paper, you have to start reading it from the first question to the last question. The first step is to mentally divide it in three parts. All the questions must be divided into either of the three categories. Or another option is that if you have a rough notebook with you, there can be three columns in that rough sheet you can make. And you can keep writing question numbers in each of the columns as you go through the question paper. So if you are well prepared for the exam, the first part will have about 50% of the questions. And what is that part? That is the part of questions that you are 100% confident of. The second part constitutes of questions which you are doubtful of. They will constitute around 30% of the entire question paper. And the last section will have about 20% questions. Friends, don't panic in the exam hall if this ratio is not exactly as I told you. For example, instead of 50% questions falling in the first section that constitute of questions that you are 100% sure of, you might find that in your case it is about 30-40% questions. Which is fine, right? We all are different individuals and we all can have our own different cases. But whatever the case may be, whatever the proportion may be, the plan that I am going to share with you in this video will help you score as high as possible. Friends, now once you have done this mental exercise, you will start attempting the questions. Please note that first you have to attempt the questions that you are 100% sure of. That means category one, all the questions that you have written in the rough work falling in the category one, you have to first solve all those questions. This will help you in two folds. First, it will boost your confidence. It will help you ensure that 30-50% paper is already done and now you only have a fraction of exam left. Secondly, this will have a very calming effect on your brain and it will also help you not get into the panic mode. It will give you that boost of confidence that we all need in the exam hall. Now, once you have done all the first category questions, the next step is to take on questions that you are doubtful of. This is category two. Friends, this is where you have to play Kon Banega Karurapati with yourself. Remember how Amitabh Bachchan gives 50-50 lifeline to all the contestants and automatically two wrong answers would disappear. This is exactly what you have to do. You have to use the rule of elimination. Start eliminating the wrong answers. In a question, when you have to choose one option out of four, you have 25% probability of getting it right. But when you eliminate two wrong options, you automatically go on to a 50% probability of getting to the right answer. So, the next step is brainstorming the correct answer from two remaining choices. So, once you have eliminated two choices, now from the remaining two choices, you have to brainstorm and try to reach to the most correct answer in your head. Stay with me. Towards the end of the video, I will tell you what to do in case you are unable to decide the right answer from these two remaining options. Now, let us go and look at those questions which you have no idea of. You don't know how to solve them. You are not sure of the question. You are not sure of the answer. These questions which feel alien to you, how to solve them? Firstly, don't stress over them. I recently read a book called Mind for Numbers by Barbara Oakley. She defined our brain as a big part which consists of a conscious and subconscious part. So, when the human mind is faced with a difficult question, it automatically gets integrated with your subconscious mind. So, consciously sometimes you are not able to get to the right answer. So, our subconscious mind takes over and tries to find out the right answer. So, I will give you an example. I misplaced an important key somewhere in my house. I kept it and I totally forgot where I kept it. Now, when I realized that I misplaced the key, I started searching for it. I kept thinking and looking for key in different corners of my house. But I could not find it. Then finally, I lost all hope and gave up on my search. And I decided to go out and watch a movie. And while I was travelling back home in my car from the movie hall, suddenly I was reminded where I kept the key. Like, out of nowhere. I was amazed how I realized where I kept the key when I was not thinking about it. It must have happened with you, right? That when you are trying to remember something you are unable to, then suddenly something else comes in your mind, your mind goes somewhere else and when you are not thinking about it, that is the moment when you finally get the answer. This is exactly what you have to do with the questions that you are not able to find a solution to. You have to leave them in complete the other sections of the exam paper.  But to decrease the possibility of such questions, check out our website, we have a bunch of courses for UGC net English as well as for UGC net paper one. We have also uploaded previous year papers on our website for your ready reference. These question papers are absolutely free of cost and available on just one click. Our courses are so well researched that we try to ensure that students are fully prepared and such challenging questions are pretty less. So you can find the details of our courses on the website. Please have a look and let us know if you want us to come up with any new course. So let's get back to our strategy. First, attempt the questions that you are sure of. Leave the questions you have no idea about and use the rule of elimination to tackle the doubtful questions. And as I promised in the video, here I am with two bonus tips that will help you solve questions that you have no clue about. Bonus tip one. A recent study revealed that most of the correct answers in competitive exams are either option C or D. So in case you don't know an answer and you want to do a karb a karb ambebu, choose either C or D. Do not, I repeat, do not use this strategy in case of those questions which you are confident of. This is just a strategy for questions that you have no clue about. And bonus tip two. Let's say you have zero clue about questions from serial number 10 to 15. There are five questions in a row and you have zero clue on how to solve them. Which means it's a continuous series, 10, 11, 12, 13, 14, 15. In that case, if you are planning to answer using tukka, then mark the same option for the entire series. So for example, your marking option C. So for all the questions from 10 to 15, mark C. Whatever will happen, you will increase your probability to getting to the right answer. Because out of these five or six questions, there is a fair chance that at least two of them will have C as the correct option. So this will increase your probability of hitting the right answer. But like I said, we have to prepare so that we can score good marks no matter what. For that, hit the subscribe button because I am going to upload a series of videos that will tell you how to prepare for UGC net. And I'm also going to give you other tips and tricks that will make your preparation journey extremely seamless. If you have any doubts, you can contact me on the number flashed on your screen and I shall be more than happy to answer your questions. You can also shoot a WhatsApp message on the same number to get added to my broadcast list and you will receive all important exam updates, syllabus updates, important videos, questions directly in your inbox. If you want me to make a video on a new topic, do comment below and your wish will be fulfilled. You can also follow me on Facebook and Instagram. I upload study tips and other study material on these platforms for free. So that's it from my side for this lecture. I will meet you very soon in the next lecture. Till the time I meet next, happy learning, keep loving literature and stay tuned to arpitakarwa.com