Thank you very much indeed, thank you very much. It's very nice to be here, there's a whole lot of police over here for just a simple group meeting, I don't know why that is. It's flattering, it's flattering, I have so much, you know, it's a secure feeling. So before I begin, I have a little disclaimer which is nowadays important in our area, in the era of data. You know, I cannot emphasize enough, artificial intelligence depends on data, the availability of good data, of clean data, reliable data, of non-fake data, I guess, is an incredibly important thing. And so if we are to build solutions, I noticed that most of the AI solutions that we're currently looking at, at least many of them, are let's say consumer oriented. So we see a lot of personal data of individuals including all of their preferences and we see code as an industry in terms of being able to digitalize, for example, and to be very predictable in terms of consumer preferences. And having said that, we all feel that there's a very thin line between being extremely intimate towards people and being predictive and being seamless about feeling, about what they're looking for and what they're moving towards versus being downward-creepy. And downward-creepy, and as you may know in the US, there's even a creepy line, so you can call that line if you feel your personal data has sort of been dated. I guess there have been a few calls in the past few weeks to do that creepy line probably. So we need to be very much aware of this and I just want to use this disclaimer. I'm not here today this morning to discuss all the ethical aspects of it, although we might imagine that this afternoon, during the over-platform treat all those sessions, we might be diving a little bit more into that as well, right? But for now, I'm just moving a little bit towards this idea of what a reference architecture might look like. And particularly the journey towards a reference architecture I think is interesting. So let's not forget this whole ethical thing, the fine balance between being very predictive and almost psychic about what the world or a person or an individual needs versus being downward-creepy is, I think, a very fine balance here, that we all need to navigate. And hopefully architecture can help us a little bit to achieve just that. The funny thing ever is that currently, I see people every now and then they tend to take themselves way too serious. Just, I can still remember, it must be already 10 years ago, one of my esteemed colleagues at that time who was a well-known enterprise architect took himself so serious that he believed that we needed an auto-hypocrates for enterprise architects. Because enterprise architects, you know, they were in full possession of immense powers to change the world. And the industries and companies, enterprise architects, were clearly even more important than doctors designing about life and death, right? So he felt that a real enterprise architect was swear and oaf about the proper use of enterprise architectures, while I'm glad to say that they really work out because I think, of course, enterprise architecture is important. Let's not exaggerate about it, right? And the same is very gaping with the eye. And again, it's an ethical discussion because maybe some people are right to say we need to have an awful hypothesis around AI as well, because artificial intelligence could change the world potentially. So anybody involved in artificial intelligence maybe should swear and oaf as well. I don't know what oafs mean nowadays anyway in this world, and, you know, what it means to be ethical is also not too clear anymore, just press the mills. But anyway, just as a disclaimer, these are the things that we need to be aware of as well. But my real topic today, by the way, John, not a timer running, John, there's not a timer running, so I'm not sure where I am in terms of time, but anyway. I'll take two hours then probably. So there's no topic more popular right now, it seems, in the boardroom than artificial intelligence. Many of you are probably IT people, but at least a few of you look like IT people and some of you probably are not on the business side, but if there's one item which is popular in the boardroom right now, that distance people, it's AI. So obviously there's a lot of reasons for it and a lot of non-reasons probably as well, because it's industry fries a little bit on the hypochrome creator cells. But I think there's very good reasons to be extremely enthusiastic about AI and also the business side. Many of the big AI engagements I've seen in the past year, or let's say a year and a half, I would say most of them were driven by business people and often there were even very few IT people involved in the strategy sessions that were set up around artificial intelligence. So if we understand that enthusiasm and let's say the transformative potential of AI, sooner or later we start looking at architecture because correct me if I'm wrong, I've always believed that architecture, particularly enterprise architecture, that there's only one reason in life not to be certified on it by the way or swear an oath about it, but to actually enable change. I think the only role of architecture in the end is to be a foundation for change, to enable change. It's not a meaning of life, it's a tool to enable change. And if we understand that AI, if we appreciate that AI will change business against the price, we realize that architecture will be a crucial tool to achieve that. Now we all know that it's very challenging to dive right into, okay, so what deep learning framework do I need then? Right, and what cognitive API tool set should I adopt? And okay, how should I manage my data so that it's a bit secure, predictable? So there's a lot of interest around to the actual tooling around this, but I believe in this proper enterprise architecture we should build it up so, so I'll take you through a little journey that we've been through so far in terms of understanding actually what it means to work towards a reference architecture. So that's really what I intend to do with my little speech, which I'm not sure about timing, but let's see what time did I start. Okay, well, I'll sort of try to guess, where, oh, you're working on this, oh yeah, technology, yeah, and you like books and stuff, yeah? Yeah. I don't know, no, it's not, it's a very nice slide, but it's my size. Yeah. Nevermind. So, before of course we dive into AI and what it does to enterprise is we need to of course understand what it is. Now, if there's one thing that we can really spend our life on, or even, you know, bombard it with minimal fire, it's discussing what AI is and what it means. And so I decided to certainly not pass on that opportunity to add my own definition as well. So here would be my definition of what it is. I think also the definition of AI is it's human intelligence while artificial, and I think it doesn't do justice to the actual potential of AI because I think it goes way beyond that. I think artificial intelligence is not only mimicking human intelligence as we know it, but also other forms of intelligence that we as humans still would perceive as intelligence, but might go way beyond what we've seen ourselves as humans so far. So I like that idea. It's our perception of humans of something that is intelligent, it's a perception, right? And then of course if you're talking about perceptions, I found until now that the most effective way to explain AI is by examples. So rather than to really get nitty gritty about the details of the definition, I'm sure by the way that this esteemed community would be pretty good at that. Discussing these different definitions, right? Until the end of the time. But it's probably more interesting at this point to simply to discuss, you know, just mention a few examples as you can see them all here as well. And we all realize we already saw some examples this morning. The whole ability in terms of natural language, understanding and processing in generation is a clear example. Image recognition, autonomous systems, audio, video, indexing, but also I would say very complex algorithms and predictive algorithms with a level of accuracy as we've not seen before. I would, all of these, I would, you know, sort of see as intelligence perceived by humans. And even at least within our community there's a discussion of pretty straightforward rule-based stuff like robotic process automation, I'm sure most of you are aware, RPA. It is by many of our clients at least perceived as intelligence. And hence they consider it part of the whole AI portfolio as well. And who are we to, you know, who are we to discuss that or to talk about that? If we feel as humans that that is a level of intelligence as well, look at the way automatic things with SAP screens, like humans used to do before. Now the system does it magically on itself. If we perceive that as intelligence-fines, it's just a set of rule-based scripts usually, but if that's the case, we would perceive that as probably as AI as well. So that's really what I would like to begin with. Yeah, we're not powered at all, yeah, that's definitely. No, it's still not in our lab at the moment. So I don't want to go too technical, as I said, because as many different technologies, and actually as a matter of fact, some of the natural language technologies, natural language solutions that have been discussed earlier, I would say that they might not necessarily be based on deep neural networks or deep learning, if you like, on neural networks. But on the other hand, it's fair to say that the increased enthusiasm in the past two, three years to a large extent, except maybe the natural language area, are due to deep learning or deep neural networks. And this is a very simple technology activity, just talking to another person in this thing. Many of the veterans in IT will tell you, hey, I did this in the 80s, and in the 90s, and this is all true. Some people wouldn't even claim, hey, I did this in the 50s, but that's... The thing is, many of these technologies have been very well known to us for quite a few years. But the breakthroughs we're currently seeing, both in our ability to collect and store data in amounts and structures and unstructured that we've never seen before, absolutely not able to do that in the 80s or the 90s. And also, of course, the highly-optimized processor architectures like GPU-style, FPGA-plus type of processor architectures that are particularly suitable for neural networks all have brought a breakthrough in terms of, for example, autonomous driving cars and the ability to really understand speech with an accuracy that we haven't seen only just a few years before, right? So there's a breakthrough over there. Partly ventured to big data, not a part of the illustrious, open-platform, free-to-load digital in-neighbors is, of course, big data. Big data brought us the capability to store huge amounts of data, structure to a non-structure, make it available very quickly. I think that's an important thing that drove the current popularity of AI. Combined, indeed, with optimized processor architectures, massive, massive parallel, but particularly geared towards, you know, building processes. Like your iPhone X, for example, some of you know about the iPhone X. It has a complete neural network on board, right, that recognizes your face and it's just on the chip itself and it's there and that's the reason why it's so fast right now. Things we absolutely couldn't achieve in the 80s or in the 90s. Neural network is not sure some of you probably have heard of it and probably many haven't. It's the dumbest thing ever in neural network. No, really, it's the dumbest thing ever. It has nothing to do with data science as we typically know it, so there are no algorithms, there are no statistics, there's no math, there's nothing.  It has potentially thousands, 10 thousands even if necessarily 100 thousands of tiny little buttons notes that they're all connected and it just tries to, for any real input record, try to adjust itself in the dumbest way ever to match the output that you get and it sort of gets better and better. It doesn't know what it's doing. It's just, you know, pushing all the little buttons and turning it a little bit to further adjust itself to ensure that you have a proper match between input and output.   The thing is, it works. And if you don't get what a normal network is, think about us as children. We all learned how to catch the ball. Right? We all learned how to catch the ball. We don't remember because we were too young probably because it was, right? But we all learned how to catch the ball and the way we did it, we didn't have a clue. So they throw a ball at us and we don't know what to do with the thing, right? So, you know, we failed, all of us failed because we have no clue how to catch the ball. And then they throw another ball and have it again and again and it's frustrating. Somehow you get better, you adopt yourself. As sooner or later you have the thing. And if you would ask us, little children, how did you do that? I don't know. I just adjusted myself. I, you know, all these notes over there are sort of changed a little bit so that I could catch the ball. But if you later on would ask, how did you do that? You're like, I don't know. You know, I just adapt to it. And that is the fascinating but also the scaring thing about the deep neural networks. They are completely opaque. There are black boxes. They just adjust themselves by almost little tiny buttons. And we now have tiny little buttons that they actually work. But on what basis it exactly matches input to output in the end? Based maybe on hundreds of thousands of records, input records and output. We don't know, right? So it's opaque. It's like asking 70 feet with a function of feet. How it works.  It doesn't know how it works. And this is the same with the deep neural network. That's all really I want to say about it. But I think it's crucial to understand that this is one of the great fruits that we've seen. So if we're looking currently at some technology options for artificial intelligence, although I would say that a lot of it is ramped among it, right? So it could be a robotic cross-search automation. It could be the typical language type of facilities that are not necessarily all based on neural networks. Regional IBM Watson was also not based, you know, the Japanese thing was not necessarily based on neural networks. So language is another aspect of it. Much of the advanced algorithms and advanced analytics, as we know it, still feature very fancy data sites. As we know it, they're still part of the AI wave as well. But I think it's fair to say that particularly the neural networks are crucial in this. So we understand a little bit what it is and how we see some great fruits currently happening. Now let's move a little bit further into our architectural journey. Because in the end, if we create an architecture, we first of all appreciate that AI in this case, where we want to design architectural foundations for, actually has the change potential, right? Actually has the enabling qualities for an organization to transform. So you could say if we create something and then we create an architecture, we want to ensure that any project we will unleash on top of that architecture actually will enable us to elevate our corporate IQ a little bit. Steve just mentioned TechnoVision over here. Thank you very much by the way for plugging that into that square. But still, all go there, please. Captain, I'd love to call and slash TechnoVision, but it's each our yearly trend series. And one of the big, let's say design principles, as architecture, we'd appreciate design principles. One of the design principles we put over there is the notion of IQ up. Whatever project you put in your portfolio, whatever initiative you would launch, it would sort of add to the corporate IQ. It would add something to your profit and loss balance of corporate IQ. And we all realize it in the era of artificial intelligence. The more we can raise our intelligence artificially or not as a corporation, the better it is. So we need to define an architecture and a change approach that actually leverages and, you know, grows that corporate IQ if you like. So the first thing to look at that, and this is another design principle we've used in TechnoVision for quite a few years is to look at companies that already successfully done so. One company, I would say, that does that successfully is bigger in distance than Amazon probably. I'm sure that some of you might already be almost a cliche, but rest assured that this company is not only, I think, one of the most innovative companies in the world. They truly are. They have an innovation strategy and innovation culture and a process which is second to none. It's absolutely impressive the way they do it. For example, Werner Krogels, the CTO of Amazon Web Services once told me that the only way we can stop an innovation proposal by anybody is to prove that it won't work. So this is fairly different, right? Usually if you want to launch the innovation project, we have to move heaven and earth in order to get it done, right? To convince people, here what you need to do is to have somebody convince you that it won't work. You know, just as an idea. Not so long ago, a month and a half ago, I was over here in London at the MRS conference, which is one of the biggest marketing research conferences in the world, and that they did some research themselves instinctively enough to see what's the most trustworthy brand. And it also turned out to be Amazon right now. Probably not Facebook at this point. Most trustworthy brand in the world, for some reason, right? Yes, you know, it's like the image, some slight mis-problems, probably. But Amazon is also a random owner. It's actually the most trusted company in the world. I also would say, if you want to understand what an AI first company is, I think they're doing pretty well themselves as well. And I believe as an architect, we always, first of all, need to ask the question, you know, what type of enterprise do we want to enable with our architecture? Because we don't know that. No, we just want to do fancy things with AI and the neural networks. That's not interesting, but we do want to understand what does a company look like that actually uses AI and everything that it's doing? And look at Amazon. Everybody knows, of course, that they started as a online bookstore, right? And grab their famous recommendations. Their recommendations got better and better. Nowadays, no longer based on, let's say, statistics, like, you know, adaptive filtering. But instead, nowadays, it's based on neural networks that are simply, literally like that, black box in terms of, there's so much preference over here, there's so much next choice over here. You know, we're trying to match that. We don't even exactly know what we're doing. But they're so good nowadays with recommendations that they are at the level of the so-called cycling pizza, right? They can deliver cycling pizzas. You don't know what those are like. So, cycling pizza, you know, imagine, it's Friday, Friday evening, 7 p.m. You start to get hungry, suddenly realize, start to get hungry, doorbell rings. Pizza delivery. They just knew, they knew. They knew you wanted to pizza before you knew it. But they're so psychic, they're so aware of your preferences and how that will evolve over time that they can deliver the cycling pizza. The pizza knows it. You want it before you know it yourself, right? Same reason that they've already been contemplating for Amazon Prime members, certain selected members, to deliver an Amazon box every two weeks.  I didn't know. I didn't know. But now I didn't even know myself, I'm one of them. But this is so small long, right? And they're actually working on this stuff, believe me. Better believe it or not, is there a fine balance between being very intimate and downright creepy? Yeah, sure. Sure, but hey, they can do this, this is what they do with AI. Obviously, everybody knows Amazon's Alexa. I'm quite sure many of you have it, or it's Kova, or whatever. The thing is, there is deep learning underneath here, and you're right for it to recognize your voice. There's also, by the way, language processing, but it's certainly also speech recognition, which is very much driven, obviously, by AI. Then we have their unmanned warehouses, okay? There are 43,000 different automated robots driving around over there in these warehouses. They're virtually unmanned in these warehouses. There's a lot of AI behind these things. There are, of course, they're the three drones that are still working on. Very much depend on AI in order to not create an accident and actually get where they should be, despite all sorts of unpredictable events that might occur during the flight. And by the way, you don't realize what's one of the very first things they really start to deliver with these drones is, of course, pizza, because that's one of the favorite topics for delivery drones, is pizza, so that's funny. So, psycho pizza delivered through the drone. This sort of AI first, I guess, by them. And then, of course, I was in Seattle myself just last week, Amazon Go store is, of course, that sort of pinnacle of what you can achieve with AI. I'm sure all of you know it by now, Amazon Go. It's a checkout-less store, right? You just walk in with your Amazon ID and it automatically starts to follow you with tons and tons of cameras and other centered technology. They know exactly what you're picking up from the shelves. Also, if you're very sneaky, try to pick it up. You know, do like this one.  So, it's completely aware. Again, intimate versus creepy, you get the point. A lot of people love it anyway because you just get into the store and you walk out with the stuff and there's nothing, there's no check-outs, there is no gates to go through or whatever. It just follows you and knows what you've taken with you. And trust me, you have the invoice before you actually left the store and they already invoice you because you're pretty good at that as well. So, if you are in Seattle, it's next to the Amazon Sphere which is their little indoor jungle that they created to work in, talking about work-life balance. They have sort of thousands of different plans from across the world, like a little indoor zoo and you're supposed to work there. Any Amazon employee can work there as well. So, yeah. Sort of an inspiring company at this point, I guess. You never know, but it looks like today or tomorrow. But for now, I'd say they're a very nice example. And then, of course, they have developed all of that fancy AI technology stuff. And they actually realized they're a retailer. Hey, why don't we sell it? So, the funny, the most funny thing which I always consider a real landmark of company that they're reinventing themselves, they're like, hey, we develop all of these tech technology for our purposes, the purposes you see over here. And many other examples, by the way. But why not sell that technology itself as well? Do anybody else who wants it? Even other retailers. Trust me, there's a lot of retailers that currently say we wouldn't use any cloud except, of course, for AWS. Because retailers, you know, they're a competition. But trust me, there's a lot of retailers that won't admit it, but are actually using the cloud as well. The Amazon cloud for their purposes. Simply because it's very cost effective and the highest quality, right? And if you could possibly imagine. So that's, I think that's the landmark of a retailer, an open AI first company that actually sells all the technologies that develop themselves as well to whoever wants to have it. Just as an example of what does an AI first company look like? There's even an AI first country, by the way. Did you know? I'll think about who might be it. So it's certainly not the US. I can tell you, it's also not the UK. Now it's not even commonwealth. I believe, oh, yeah, no, that wouldn't be commonwealth. Anyway, I'll leave that a little bit on even AI first countries. Because what these AI first companies do is also very interesting example to us as an architect. What it would mean to actually enable that. What you need to set up in order to achieve that. Nice thing about Amazon is also that they, you know, introduce quite some time back the notion of the mechanical term. You may have heard of it already more than 10 years old. At that time, we have already had this idea of if we could launch a web service that would trigger some artificial intelligence, that would be nice, right? And the only thing was that behind that web service often we still need a human intelligence to perform that intelligence task. Mechanical term is mentioned after the famous chess computer in the 18th century, developed by Hungarian scientists. It was a, you know, it had a doll, it was a marionette, it had a turban, so they called it a turb, what did they know? It had a turban, so hey, it's a turb probably. And so they called it the mechanical turb, it was a chess computer, and it beats all the grandmasters and also the royalties and anybody else who wanted to play that machine, the machine beat it. But actually inside there was a human, tiny little chess player, grandmaster, that had an ingenious set of mirrors, so you could see what's happening on the board. And I think it lasted something like 17 years before somebody actually found out how they did it. So this was a big thing.  So this is the end of the 18th century, mechanical turb, and Amazon realized well, you know, we would have all web serves interface for any human intelligence task, and then you launch it. As a web service crew in the API, as we all know it, but behind it are still humans. It's a crowd-sourced community that very quickly picks up a human intelligence task, you know, subscribe to interesting tasks that they want to do and then carry it out. And the nice thing is if you nowadays do, they're still active, but if you look at the type of tasks that were typically done through the Amazon Mechanical Turk system, you start to realize that there are different variants of intelligence, and that helps us also to put together an architecture. There is, I would say, an level of intelligence that would be taking the role out of the human. So this is simply to automate things that we all realize that humans do themselves as well in a very automatic, repeatable, predictable way. So you could, for example, say, well, go to the third line of any website, you know, you copy and paste the first seven words, put it in a database, and make it available. A lot of things that knowledge workers nowadays do themselves as well behind screens, right? And it's just that 10 years ago, it's still something that was worth to dispatch to humans that would do it behind a web server, so then, often in seconds, you would have the result, right?  So that's one level, taking the role out of the human. I would say the second is more interesting, and often we nowadays don't consider that being the highlight of what we can achieve with AI. This is about cognitive capabilities. And cognitive capabilities are human-like capabilities in terms of communication and reasoning and, you know, making others understand and solve an issue. Human capabilities, if you like. And we see a lot of these things on Amazon as well. Why don't you write a little summary about the political essay? Or why don't you describe the few-line scenario?  You know, select the ones that feature purple unicorns. These are human capabilities, cognitive capabilities, if you like, that at that time, 10 years ago, systems were usually not able to do at all. See all of the text analysis, for example, that we saw this morning, that that's pretty advanced stuff, not able to do it 10 years ago. So it was a human intelligence task to combine that service. And I would say that this is often the area we're typically talking about nowadays. To augment ourselves with cognitive capabilities that we recognize sort of. We understand how to find a purple unicorn in a picture or how to write a summary. Some of us might be better than others. We get the point, we know our stuff. So we augment ourselves, if you like, with these cognitive capabilities. It's not an area that we need to deal with from an architectural perspective. And then the third area I would say is really, it goes beyond what we're able to do as humans ourselves. Everybody knows, I think, the famous AlphaGo story, of course, code in the Asian board game that was considered the final frontier.  But then deep learning came and this was a very simple approach. They look there, there's white and black moves.  Nothing else, no rules, nothing, no algorithms, nothing. Just they look, white moves, black moves.  And you feel it in a few thousand games. It starts to get better because through deep learning, it sort of tries to catch the ball, right? It gets better and better. And then you do something very smart, this is called reinforcement learning. You have to, for various instances of this system play against itself. Not a few thousand times like you were able to capture the board games as they were, but a few million times. It plays brute force against itself and it gets better and better and better and then it beats the world champion in sound and nowadays everybody realizes it's, you know, it's cannot be beaten anymore. And by the way, Google that brought this system said it's no fun anymore. To say that wasn't at that time with Jeopardy, you know, that there's no challenge anymore. So we'll do something else, something interesting, maybe in a medical aspect. And it's the same with this AlphaGo team that said, well, maybe we should use Google's deep mind for something more useful than beating somebody at all, but we wanted to make a point, right? And now it's no fun anymore. So, the interview, at least at all, was the world champion beaten by this system, said, okay, I can no longer beat the system because it's obviously a barrier right now, but it made a few moves that I considered out of this world. They were exotic alien moves that a human never would have considered to make, but they were valid. And he said, I heard as a goal player from it, maybe as a human goal player, you know, much more diverse as well. I actually learned from the system, although I never understood why it wouldn't make such a move, which I think is interesting. Same reason, by the way, that Miss Pac-Man, an optimal score in Miss Pac-Man, could never be achieved. This is not Pac-Man, this is Miss Pac-Man's female version, much more complex. So, no, it's true. Miss Pac-Man is much more complex than Pac-Man. No, really. And the optimal score, it would never be achieved, of course, and then, again, with similar technology that I just mentioned, the young Microsoft actually created a set of AI solutions that actually created the optimal score here. But I want to say, as sometimes we see solutions that go way beyond what we as humans possibly imagine and think of. So, one of the things that we need to realize from an architectural perspective is what type of impact do we want to achieve with AI? Is it automatic, so taking the robot out of the human? Is it a cognitive addition? Or are we actually thinking about fully re-imagining solutions and systems as well? We did find, by the way, that another way of looking at this in terms of shaping a portfolio based on architecture is to look at the benefits that you achieve versus the complexity. Very simple thing, but when we did our research last year in terms of where our companies taxi currently, focusing their efforts on in terms of AI solutions, we found that there's a lot of people on the upper right-hand corner. A lot of companies are in the upper right-hand corner with their current AI solutions, which means that they are looking, yes, for the high-benefit flexibility, but they're also looking for trouble. So, we're looking for the more complex projects that might take several years and are difficult to achieve on the short term and achieve tangible benefits on the short term. So, our recommendation currently often is when you start to shape your portfolio on top of your vision of an AI-first company, you may as well focus on a few areas that are high-benefits and low-achievements. Easy to do, not that difficult to achieve, but have a high benefit. And, by the way, you can download that report if you have a second download where it's this evening. You know, when you go to the party or whatever, you may as well also download it's all available. It features hundreds of different use cases. And what I found with AI, the thing that we need to do is architects more than anything else, is simply lead by example and show as many examples of the game of AI also as an inspiration for imagine that we would be the Amazon of Delta or the Amazon of healthcare, you know, or the Amazon of insurance. And then you start to sort of lead by example and I think us as architects need to do that as well. If you look at architectures, I think we need to understand, again, given what we are looking for, that there are different levels of, let's say, complexity and how deep you want to be in the infrastructure. That's the infrastructure level itself. We're really talking about the GPU and parallel processing architectures. We're talking GIT level and virtual image system and the systems that actually run it for us. On top of that, you see, particularly in the AI, I would say the deep learning networks and again, there was more than that of the deep learning neural networks. You see a lot of particularly open source frameworks. At two levels, by the way, there's the deep level, Linux style almost in an open source, paramental style of neural networks and then you have more friendly, high productivity frameworks on top of that. So for example, Blue Room and Keras are more friendly ways of creating neural networks, mobileing them and training them rather than than the paramental stuff which is underneath, right? So that's a decision that needs to be made. I would predict that many more of us will be architecting for the use of APIs on top of that. So imagine I need image recognition, I need voice recognition, I need natural language generation, I need natural language understanding, I need conversational technologies. I'll use APIs, it's a web service. Almost like the Amazon artificial artificial that I just showed to you. And we don't need to understand that there is somebody trying to catch a ball underneath there. That there is a deep learning neural network underneath or just supply it with data, train it, get it better and apply it through an API and use it, hey, it recognizes image, right? So I think many of us will actually be more interested in that level in the end. And then on top of that you will expect complete solutions that will really contain predefined models or you just need to link it up with your own training data and you get let's say a predefined solution that has AI in it and it would be able for example in the case of Raven to go through a contract that has been created 20 years ago and it will able to tell you what obligations you have according to that contract. And you just need it with the contracts and that's it, find the obligations, even get ultimately put it in the obligation management system or watching the health for example which is a set of solutions that use AI to facilitate us in doing all sorts of things in healthcare and we don't care anymore there's even several levels underneath what type of AI technologies actually being used over there. Having said that, for anybody with sort of a background in software engineering, obviously it's good for the sports just that it would exposure to the actual neural networks and actually having created one yourself and populated and trained and usually it's sort of, I would say exciting but that's probably me, it's a bad answer. Because you don't really need it. It helps of course as architects that we understand what is underneath over there. So, I really don't want to dive into what it actually that in the end looks like because you can see the same area as I just mentioned you see what about in more details logical architectures if you like as well. You come through the conceptual part looking a little bit over here what type of services you actually need to go from infrastructure all the way out to solutions and the API level and obviously as I began my presentation I managed the data very carefully so there's a whole series of stuff around it that we put together as well in order to feed the system with the right data and ensure that it actually learns from the proper materials but also that's the way that we deploy it of course which is being used in the proper way. It's quite a crucial one. We'll see a lot of AI pop up in the forthcoming years which means that we have a pre-test, we have a model we design it, we train it, we test it it's all right and then we can download it for example even the smallest central system you still would have on the chip the possibility to run and actually train a model somewhere over there so there will be some very interesting work to be done in the IoT space as well in terms of AI reference architectures. And then of course here you will instantiate it if the actual tooling, I did this one for Amazon we have one for Microsoft we have one for passive read open source tools you can imagine several others you could do it for the IBM ecosystem as well and then you simply pick up all the various layers sorry about it, it's not an argument but this is actually the design language that Amazon are using so they create it if you happen to know a complete library of icons that they use to create architectural diagrams Microsoft has a similar one by the way and you see all the actual products and you instantiate it with the actual products and the way they work together which I think at this stage it's not the main message I wanted to bring across I'm sure at BLEV from Frigo Low we'll have a lot of interesting work to do in the forthcoming years to work on all these different levels but as architects particularly as enterprise architects it's for us absolutely crucial to understand what transformative impact is we want to enable with our enterprise architecture and I felt I needed to emphasize that show you a little bit of the journey that we've been coming through in the past few months and even years to approach a reference like this so my time is over yeah so the country that already has declared itself AI first is United Arab Atlas not so strange, Dubai of course is the host in the World Expo 2020 which is very nearby now and rest assured I happen to know they are quite ambitious in making you know a good name for themselves around them so United Arab Atlas has declared itself and it's funny by the way city Dubai AI got it to work so that's sort of a chemical instance I guess but they declared themselves an AI first country and I think as architects it's actually very inspiring to look at what they've done because they created all the use cases on the left so they particularly focus on use cases linked by an example don't make the difficult diagrams you know just tell what you want to enable and then we'll create your architecture to enable it and they also educated their own executives which is I think a hilarious sort of they have a minister of AI but they also educated all their other VPs in the government to actually be very much aware of this created a whole training program for them as well and actually literally it's a design principle for them whatever solution, whatever budget proposal we see within the government we'll actually ask ourselves the question is this an AI first proposal and have we actually thought about the impact of AI and whatever we want to do as a government, as a country which I think is quite an interesting have a look at it, you'll find much more about it because you know, unless they like to sort of communicate and show to the world what they're doing over there they're pretty much proud of it I guess that's a good piece of work as well so thank you very much for bearing with me so early in the morning I hope you agree with me it's a very exciting time to come and it's not only about the reference architecture I hope you'll appreciate it also about the journey of understanding what actually should be in that architecture that I try to share with you this morning thank you very much for listening and almost within time almost within the day of the dialogue yeah, technology yeah, that's good so I have to say I've got to start with one of my own Raven being able to give you contractual obligations yeah just to give you a contract to reduce the number of lawyers in your practice that is such an interesting... that would improve the world, right? I am not going to comment on that then he would... definitely, we all realise that that would be the case and it just... there's so much work involved nowadays in going to contracts that might be created 20 years in the early morning and there's no structure to it and very difficult also outsourcing companies can take off from contracts and then you realise we really need help to understand what our obligations are and the systems can do it for us powerful capability so we are a little behind the scene now, but we'll... sorry about that, no, not at all by the way given AI advances how long before machine generated architecture? yeah that's actually a topic I... I propose for a little architect summit that we will have that our little Chateau in France will take some time with our yearly architect summits and one of them will do... Alex, I'll do my architecture it's the name of it, so... I think that's a very interesting idea I like the idea of extremely detective architectures or adapters, so it's almost like a neural network to the circumstances, right? so it has still architecture by the way it's questionable, but I find it's a... stimulating idea I first would say let's look at our architecture work and see how we can implement it particularly with cognitive capabilities and that's what it looks like to re-imagine architecture which means we don't only need... no need for lawyers anymore maybe also no need for... architects anymore perishable from... yeah perishable, okay, sorry about that lawyers in the room, yeah, architects, you know so back to the oath oath, yes you believe that EA is all about enabling change isn't that a foundation principle a foundation for an oath? yeah, maybe, but then I think so many of us are in a business opportunity to change some on a daily basis and certainly around enterprise architecture I felt it's a bit... you know, we take ourselves maybe just starting a bit more seriously, sir you know, on the other hand if you look at AI for example in healthcare or as we see how AI nowadays can generate meals and can actually, you know literally influence society as a whole and you start to realize that there's definitely an ethical aspect there it's just very clear to the states and I feel like why don't you create a few who's the losers first before talking about you know, saving lives and being ethical about it but for some projects maybe you'll see that both, I don't know so next question how do you go about creating security trust models with AI? have you go about creating the security with trust models with AI or do you? well, you need to so clearly I believe first of all that there's a data foundation there that I think goes way beyond that that's what's my disclaimer at the beginning of my pitch as well we just realized that we're working with very exposed materials and you know, and we realized the public opinion is very sensitive about this as well every few seconds somewhere in the world a human driver behind the steering wheel kills someone every few seconds, right? literally and if it happens once every six months everybody's like stop all engines stop the projects there's something very dangerous going on here so I do really I think on one hand of course this asks for very established good practices in terms of data privacy and security I think the whole GDPR thing over here for example in Europe will help us a lot to ensure the proper use of private data particularly personal data but also very sensitive let's say for HD live friendly data I think these are very strong practices and the interesting thing is if we want to really enter the digital era we need to realize it's a foundation not the meaning of life to most of us people not to stop it but how to enable that's the right question to security should we do this how can you enable me to do this I think is the proper way of looking at it we're only going to leave it there sorry about that we do have a panel this afternoon at 2.45 the other room we have a panel debate hoping for many more questions in the meantime thank you very much


What's the matter? What is it another case for Nick Carter master detective? Just as another case for that most famous of all man hunters, the detective whose ability at solving crime is unequaled in the history of detective fiction, Nick Carter, master detective, presented by the three great home brightness, Linux cleared loss, Linux cream polish and Linux self polishing wax created by Acme, America's great producer of Acme quality paint. Today's curious adventure, murder on Mad Mountain or Nick Carter and the mystery of the opera singer's dog. In just a moment we'll hear how Nick Carter solved the mystery of the murder on Mad Mountain by the aid of a dog lost in the snow. But first let me tell you something, you and your family take pride in your home of course. That's why you keep it bright and sparkling with chemtone, the miracle wall finish that brings new beauty to your walls. 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This is a pretty thrilling experience, Nick, riding over the mountain in a blizzard like this. Very just a snug and cozy inside the train here as if we were in our own home. It may be thrilling Patsy, but it's pretty dangerous too. Dangerous? What's dangerous about it? Well, up here on Mad Mountain, there's always the danger of a snow slide sweeping down on us and pushing the whole train down into the canyon. Well, we could run into extra heavy drips and get stalled. In fact, that's where Mad Mountain got its name and the trouble it's always caused the railroad. Well, I don't care. I'm enjoying it. Just the same. Wonder how much behind schedule we are. Here comes the conductor. I'll ask him. Oh, conductor, how late are we going to be? Well, I can't tell you, miss, depends on how long this storm keeps up. Say, conductor, didn't you used to be on the New York to Miami running the Pensey about ten years ago? Well, yes, it is. Left there eleven years ago next March. I thought so. He used to ride with you often in those days. Is your name Bonner? Robert Bonner? That's quite a memory. Sure, I'm Robert Bonner, but I don't remember you. Take the detective train mind, remember, names and faces, Mr. Bonner. Nick's a great one for that. Nick, you don't mean you're Nick Carter? Yeah, I'll tell you in the first degree. Well, well, well, don't that beat off after eleven years. I would say, Mr. Carter, I know, I'm sort of glad you're riding with us this trip. You want me to help you find the tracks again if the train runs off? It ain't the blizzard I was thinking of, bad as it is. That opera star, we got hitched on the rear of the train. You mean that private car we saw at the terminal belongs to a real opera star? Who is she? Her name's Pauline Hall and she just took up highfalutin Queen of the Mall. Well, why are you worried about her? Well, after we hitched her car on, I went back to see if everything was OK. Orders, you know. Sure, I know. Well, out she comes wearing more jewels than the Russian royal family. She waves her hand at me and she says, Conductor, please see that no one is permitted to enter my car at all. I'm not to be disturbed before we get to Sacramento in the morning. Fuzzy little chow dog of hers stands there blinking at me, all around his neck, stunted with diamonds. Well, a chow is a high class dog, Mr. Bonner. And then, and then, as if there ain't enough trouble for me, trying to keep everything straight around here with a blizzard-blown Dominic, I get this telegram from the chief. Says I've got to take care of the dame and her sparklers as if they were my own. Says the stuff she's carrying is worth about a hundred thousand cash. That's a lot of jewels to be lying around loose. Maybe she won't be disturbed in Sacramento in the morning either. If that dumb engineer ours don't use more sand. It was an hour behind crawling up the other side. Now we ain't even crawling. Why, Nick, we stopped. We aren't moving at all now. Sounds as if we're in trouble. We are in trouble. Engineers whistling for a flag man. Got to get him out fast. Won't he like that on a night like this? What do you need a flag man for? I'm peering the mountain. Well, the second section, this train's right behind us. And this, no, she could plow right into us before she knew we were here. Hey, Cardi, Cardi, wake up. Well, what's the matter now, Bob? Get your flag and get going. We're stuck. Oh, look, on a night like this... There's no time to argue, Cardi. Now, you get ready and start on your way back. And you'll be sure to get back a full half mile or two before you set up your flares. Be watching. So shake it up. I suppose I've got to climb out and wait around that opera star's car. She won't let me go through. You bet she won't. When you go by her car, don't cuss a lot. You wake her up either. I don't want to be hauled on the carpet for disturbing her nibs. Snow must be up to my waist by this time. Yes, and watch out. You don't fall over into the canyon. There ain't much room to spare between the track and the edge of that cliff, you know.  She doesn't look very happy. No, no, and I ain't very happy either. That dodger and old throttle pusher up there in the cab was a real he-man. We wouldn't be stumbling for a little snow. Well, ain't nothing to do now, but wait. I hope the second section don't jam into us. Brian, it's going down, Bob. Man, it sounds like he's signaling to the other section. That dumb flag man of mine sent the flares going like I told him to. They ought to stop the rest of this drag. Then there would be no need for all that tooting and whistling. Well, why don't you look and see if you can see the flares, Mr. Bonner? Mm-hmm. They certainly show up across the snow. Now that it stops snowing, that's just what I'm going to do. You want to come, Mr. Carter? Wait till I get my coat on and I'll be right with you. You ready, Mr. Carter? Then take a look out the platform to have the car here. Now, watch out while I open up here. Yeah. Wait, what's that? Good gosh, it sounds like it is. That's an avalanche. Look out. Sounds like a big slide. Yes, sir. Too close for comfort. Yes, sir, indeed. Mr. Stowe went right by us. What about the flag, man? You're supposed that he might have been... Cardi, he must have been right in the past. I better see if he... I'll go with you. Come on. I'm going to send you to Kenyon, Mr. Carter. A thousand feet drop to the state highway at the bottom. Don't worry. I'm watching. This car here, not a light, isn't it? Not a peep out of the old girl. I had if thought the noise of that slide would have woken the dead. Didn't you say she had a maid in the porter with her, too? Funny, they're not awake. Yeah. Probably she's got him both scared. Don't dare make her sound while she's asleep. The dog, too. Didn't hear a peep out of him either. Hey, Bob, look ahead there.  Yes, sir. Only missed us by about a hundred yards. Wait a minute. I've got my flashlight here. Let me see if we can see anything of Carney anywhere. That's Mr. Carter, there. There ain't no use looking for him. Not after that. Hey, listen. I don't care nothing. There it is again. And it's down there over the edge of the canyon. You know, flash your light down there, Steve. Oh, I can't see a thing. Must have... Hey, Bob, look there. The flagman. Carney. Yes. Caught him that little tree down there. Must be 50 feet down the side of the slope. What's he doing down there? He must have slipped and fallen over the edge and is way back. Yeah, but that's not Carney making that noise. No, it isn't, but I can't see anything else down there that's making it. No wonder they named this mad mountain. Well, go get a couple of porters and some rope. We'll have to get Carney out of there quick if he's still alive. Is he dead? Yes, he broke his neck when he fell. Poor Carney. When he's a long ride, we've had together. You two porters stay here with the body for a bit. Bob, you and I have a job to do. Come on, quick. A job? What do you mean? Where you going? If it's what I think it is, we've got a real job in our hands. You got a key to the queen's private car? The queen? We don't know. What do you want that for? You know what I found down there when I was getting Carney's body? No, I ain't got any idea. Well, that child dog of hers is caught in a clump of bushes. That's below where Carney stopped now. I'll bet that darn dog got out of the car and chased Carney and Carney fell over the edge trying to get away from him. Certainly hope you're right, Bob, but I don't think so. Well, what do you think did happen then? Tell you in a minute. Here's the end of the queen's car. Maybe I've got a key that will fit this door. And they have a special lock on it. I can't wait to take it now. Watch out. Hey, we can't go busking into private cars like this. We can this time. Now I can unlock it from the inside. What do you think you're going to find in here?  All right. I don't see what. Look here, Bob. Look. Hey, what are those things on the right there? That ain't, that ain't, what's that? I came from in here. That's her porter all tied up. Yes. He's been drugged, too. Well, I don't understand. I thought so. See there? Oh, look at all that blood. Yes. And the queen put up quite a struggle for her life. But she lost. I'll say there was a fight here. Look at this room. Everything upside down. Yes. Everything valuable gone. Nothing left but some toilet articles. Where's the maid's compartment? It's over here. Oh, gosh, somebody. She's dead, too. Strangle to death, looks like. Those purple marks around her neck couldn't mean anything else.  What is it, Mr. Carter? It smells like perfume. Yeah, see there? Broken perfume bottle. Got smashed in the struggle. Smelling so strong, it's sickening. Oh, I'm going to catch it for this. What's in the other compartment? I wouldn't know. I could just hope it ain't more bodies. Well, we'll see. Just as I suspected. See those cigarette burns on the dresser and the empty bottles? Two men hid in here, waited until the time was right, then killed the queen and her maid and stole the jewels. How do you know there were two men? Two different brands of cigarettes here. Oh, yeah. Where do you suppose they got aboard? Probably hid in here before the car left the junction. Suppose they're still on the train? See if the front door of the car is unlocked. Oh, sure, sure. Yes, Mr. Carter, it's not locked. They probably went out that way. And they're somewhere on the train now. Probably must have figured that nobody went under this car before it reached Sacramento. They were all set to drop off at one of the way stations before that. But undoubtedly, the snow slide interfered with their plans. And in this deep snow, there's no place they could go without being in danger of their lives. Yes, I feel sure they're still on the train. Well, can you find any clues to tell us who they are? I hope so. Then could you take some fingerprints, baby? It would take too long to fingerprint everybody on the train. No, we've got to find some other way to do it. Yes, but how? I don't know yet. But I think I have an idea. Well, what do we do now? Bring Carney's body in here. Let the passengers think he was killed in the slide. But don't let them know he was murdered. Murdered? Do you say Carney was murdered, too? I thought you said his neck was broken. It was. The back of his head was crushed in two. And that was no accident. Oh, poor Carney. That should let me to believe that there might have been trouble here in the Queen's car. Bob is icy. It's that Chow made trouble for the killers when they started their work. So they took it outside to get rid of it. But they ran it to Carney. They killed him and threw him and the dog into the canyon. And so long as the killers think that Carney and the dog are both dead, we'll let them keep on thinking so, at least until I can rescue that Chow. Are you crazy, Mr. Carter? That money worth risking your neck for? No. I have an idea. Maybe he can tell us who the killers are. Oh, what the heck? Chows can't talk? I have an idea. Maybe this one can't. At least I'm going to find out, anyway. So Nick thinks he can make the Chow talk, at least enough to tell him who killed the opera singer and stole her jewels. Will the dog still be alive by the time he can get down to rescue it? And will it tell him what he wants to know? We'll see in just a moment. There is no more attractive background for your furniture than lustrous, well-kept floors. And Linux's self-polishing wax keeps all your floors looking their best, whether they're wood, tile, or linoleum. 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We left Nick planning to rescue the dead opera singer's dog, which is caught on a bush on the side of the canyon, in the hopes that it might some way reveal the identity of the murderers of his mistress. But where did Nick go, Mr. Bonner? He wouldn't tell me, Ms. Bowen. He just told me to come to the baggage car, get all the extra rope we have, and wait until he got back. Now, I wish he wouldn't try to rescue that dog tonight. It's too dangerous in the dark on a freezing night like this. I tried to tell him that, but he wouldn't listen to me. He said that the dog was going to help him find the killers. Crazy talk. Congrats, it isn't so crazy, Mr. Bonner. Nick has a way of knowing what he's talking about, but... I wish he would... They got that rope from your brother. Look, Mr. Karnaugh, why don't you let me take the baggage and mail crews and search the train for these killers? That'll be useless, Bob. Those crooks are only two out of several hundred people on this train. How could you tell them from the others? Well, I... Well, no more. Once you let the passengers know there have been two murders on this train, you'll see what happens. Oh, gosh, Nick, you're right. We might have a panic on our hands. I guess you're right, but I don't like it. Just the same risk in your neck for a fool dog. I like dogs. And this one's hurt and probably freezing by now. Nick, what were you doing in the train just now? I thought you said you weren't going to try to spot the killers. I wasn't, Betsy. Not exactly. Well, then what were you doing? Looking for something. Well, did you find... Maybe. We'll see you later. I'll get up and have that rope. Are you sure you don't want me to come with you? No, you stay here. I don't want any of the train crew or passengers to know what's going on. Okay, whatever you say. If Mr. Bonner's not going with you, I am. Well, now that the storm's over, I guess it's safe enough. But you better dress warmly, Betsy. It's mighty cold out. Well, look, Nick, there's an extra trainman's outfit here. That's heavy enough. Could I use that, Mr. Bonner? Sure, sure. If you can get into it. I can get into it all right. There's plenty left over. Betsy, I want to get that dog while he's still alive. Hurry up. Well, here, let's get going. That wind died down. Quite the cold now. That's right. Is this where you found the breakman? Well, yes, I can see the marks in the snow. Is the dog here too, Nick? Yes, Betsy. He was caught in a small bush just below where the breakman was. How are you going to get down to him? I'm going to tie this larger rope to the rail here if I can find it under this snow. Here it is. That should be enough that it holds. Yeah. I'll let myself down the side of the canyon with it. You keep hold of this smaller rope. When I tie the dog to it, you pull it up. Okay. I can climb back up the other rope myself. The good thing we have the headlights and the locomotive on the second section to help us. Gosh, it's bright. Yes, even though it's at least a half mile down the track, it's light enough for us to see by. All right. Are you ready? Well, gee, Nick, the closure hands get so cold you can't pull yourself back up. Don't worry. They won't, Betsy. I'll be getting enough exercise so I'll keep warm. It's you I'm worried about. Are you warm enough? Oh, sure. This outfit I've got on keeps all the cold out. I'm okay. All right, then. I'm off.  I'll be waiting. Take care of yourself, Nick. I'm all right. You see him? He's still alive. Oh, good.  All right. Steady, belly. We'll have you up works nice and warm in no time.  There we are. Oh, hosty, hosty. Now, tie it on your foreleg so it won't slip. Yeah. I don't want to lose you now. You're too valuable to me. You ready, Nick? Just a minute. You take it easy. Will you? You'll be all right. There we are. Now, we'll have a nice ride. All right. All right. Coming on.  Fight it, boy. Easy. Easy. You all OK, Nick? Yes, we're both coming along. All right.  He must be frozen. It probably is. There. I'm not too warm myself. All right, boy.  OK. Now, take it easy, pup. Yeah, no. I don't blame you for being mad. I'm mad, too. All right now. All right. There you are. Can you stand up? Oh, Nick, do you suppose any of his bones are broken? I hope not. Let me see. I think he's just suffering from exposure. He's hardly more than a pup. Oh, I'll carry him back to the dining car. We'll get the chef to fix him something hot. Some good hot milk with a little branding in her door to make him feel like a new dog. And something hot wouldn't hurt us either. Come on. Nick, he feels much better than he did. Why, he walks around almost normally now. Yeah, there's a little something warm to eat. Fix him. I'm done, you gave him. Oh, what are you planning to do now, Nick? Let me have that small piece of rope, will you? I want to make a leash for him. You're not going to take that poor pup out for a walk, are you? Take him out? No. Make him for a walk? Yes. But why? Patsy, have you forgotten we're on the trail of two murderers? Of course not, Nick, but... There. That's not much of a leash, but I think it'll serve the purpose. All right, Bob, you ready? I sure am ready for anything, but say, do I smell trouble? You might. We'll know pretty quick now. May I come too, Nick? Not this time, Patsy. Come here and cross your fingers for luck. Okay. What are you doing? To the smoking compartment of the first car. I want to show the dog something. Easy now, Bob. All right. That smoking compartment's just ahead here. All right, boy, quiet. You'll get your chance in just a minute. I remember back some 20 years ago. We were held up for four days in the slides on a railroad up in Canada. Yeah, yeah. Somebody's always been where it was today. Now listen, Bob, I'm going to let the dog loose and we get to the door of the compartment. I'll follow him in, and I don't want to seem to brag. I was just going to say...  Is it fair enough now without you making it worse? Hey, Bob, you hear that? Yeah, but what? Quiet. I'm letting him loose. Of course. You don't want to play dogs. Put on your list. You ready, Bob? Yeah. All right, here it goes. We stay here until I say so. Guys, just keep this trap shut with this. Take a look at this. Take a look at this. Take a look at this. Take a look at this. Take a look at this.  Don't try to get your gun or I'll let you have it right. I got my hands up. That's better. I don't like shooting. All right, Bob, take their guns away from them. Yeah. Be sure you get all of them, and see what else they have on them at the same time. Sure. I'll give them a good going over. Carter. You ain't Nick Carter. I certainly am. Wouldn't you know, Pete? We pull a job way up here in the mountains, and Nick Carter has to be on the train.  He ain't got nothing on us. Nothing. No, I think I have plenty. Prove it. You want to say something? Find anything interesting, Bob? No, nothing. Just these three guns. Nothing there. There you say. All the singers are made in their private car tonight. You've slugged the breakman and threw him over the cliff. You stole all the singers' jewels. You call that nothing? Ah, this guy's not, Pete. Yeah. Go out and prove it, copper. But give me a doctor face. William, my leg's all better. Look, I'm bleeding. I'll get you a doctor after I get your confession. We don't know nothing about it, so we might. No. We don't know a thing. It wasn't even there. All right, very well.  All right, flat foot, sit. You can wait until next year, but you won't learn nothing from us. Okay. I'll wait. You know how quick hydrophobia sets in after a dog bites? Well, I know I don't. Pretty quick, I think. See, if I remember correctly, there's no cure for it after it does set in, is there? Oh, sure. Don't believe there is. No cure. How long would you say it is since the dog bit Pete here? It must be about ten minutes now, I'd say. Ten minutes, huh? It only takes hydrophobia, about five minutes. All right, all right. Tell her, tell her, tell her, only get me a doctor. You'll get a doctor when I get your confession. Okay, okay. We killed the mic of me. We hit in the old James' car before it left the yard. Where are the jewels? We made a bundle out of them and then threw them clear off the cliff. It's down near the state road at the bottom. Get me a doctor. We are dying. You're not dying, not you. I am. I am. I got hydrophobia, sure. Get a doctor, will you?   And this dog is as clean and healthy as a dog could be. There are no more danger for most bites than I am.  Not in the slightest. Hey, hey, take that. That dirty double cross and right out of the corner. You ought to keep quiet. Bob. Yeah. See if you can find a doctor and take the dog back to Patsey. He's done a good night's work. And bring some rope to tie up these cheap thugs. Sure, Mr. Cutter. Come on, food. Come on. Come on, sir. Yeah. I beg your pardon, Mr. Cutter, is it? Why, yes. Hey, where are you? I'm here under this seat. Is it safe to come out now? Yes, indeed. Come on out and join the party. Thank you. It's much more comfortable out here. Mr. Cutter, may I ask you a question? Certainly. Go right ahead. How did you know these were the men who killed somebody? Very simple. When I walked through the train a while ago, I noticed that the tobacco smoke in this compartment was scented heavily with perfume. Perfume, these thugs got spilled on them when a bottle of perfume broke in the opera singer's car during the fight. Oh, that's wonderful, Mr. Cutter. Well, wonderful. Well, I couldn't be absolutely positive just from the perfume. And I couldn't know which of the six men in the compartment were the ones I wanted. And knowing that the men were armed, I had to be sure. Yes, yes, yes, of course. So I brought the dog in here, knowing that a chow would never stop hating the men who killed his mistress. And he supplied me with the additional evidence I needed. Then it was a very simple matter, as you heard, to get their confession. And the jewels, will you? Will you get those, too? I should notify the state police as soon as I can contact them. The snow slide and the marks I made going down the side of the cliff after the dog will mark the place closely enough. That's wonderful. That dog's a smart dog, isn't he? Well, a lot smarter than these two crooks. They'll never go to the electric chair. That's more than I can say for them. In just a moment, Nick and Patsy will bring you a preview of next week's exciting case. But first, here's the worthwhile thought. These are busy times. Times for streamlined efficiency and everything we do. And American homemakers everywhere are learning how much time they save when they preserve the natural beauty of their furniture with Linux Cream Polish, which cleans, as it polishes, in one easy process. Linux Cream Polish requires no tires from rubbing. And in one quick, easy application, removes cloudy dust and polish accumulation, it vanishes messy fingerprints, and helps conceal ugly scratches. Linux Cream Polish dries hard, too, leaving no oily film to attract more dust and make more work for you. Though by all means, keep your treasured furniture lovely the easy way with Linux Cream Polish. Remember to ask for it at your dealers. If he hasn't received his supply of the three great Linux home brightness, he'll probably have them soon. Ask him to save one or all of them for you. Acme will see that he gets them and you get them as quickly as possible. And now let's hear from Nick Carter himself. How about it, Nick? What thrilling story are you going to tell us next week? Well, next week, Ken, I'm going to tell you a simple little story which begins when the milkman arrives at a customer's house to find the young wife tied up in the kitchen of her home and her young husband shot to death in his bed. The local sheriff couldn't seem to make head and her tails out of the case. But when Nick took hold, he picked up a small clue here and another one there and got the right answer. An answer, I may say, that was somewhat unexpected. Is it an exciting case? Well, tracking down a murderer is always exciting to me. Well, what do you call the story, Nick?  For the mystery of the milkman's discovery. And that's all for now. So long, everybody. So long. And so long to you both, Nick and Patsy. We'll be looking forward to seeing you again next week. Next week, at the same time, listen to another curious experience of Nick Carter, master detective, entitled The Two-Pillow Murder, or Nick Carter and the Mystery of the Milkman's Discovery. Nick Carter, master detective, is a copyright feature of Street and Smith publications incorporated. It is presented at the same time and over these same stations by the three great Linux home brightness. Linux Clear Gloss, Linux Cream Polish, and Linux Self-Polishing Wax. Created by ACME, America's great producer of ACME quality paint. In the Nick Carter adventures, Long Clark is starred as Nick. Helen Cho is featured as Patsy. Original music is played by Lou White. The programs are written and directed by Jock McGregor. This is Ken Powell speaking for the thousands of Linux dealers all over America and saying so long until next week. This is Mutual.


As relations strengthen between Europe and the Sahel, the European Union's foreign policy chief held talks with Mali's top leaders in Bamako, Joseph Borel pledged EU support as Mali undergoes a transition to an elected government following last year's military coup. Young military officers ousted President Ibrahim Bobaketa on August 18 after months of protest driven by his failure to solve Mali's long-running Jihadist conflict and perceived corruption. The new EU strategy for the Sahel affirms the importance of a solid and long-term partnership in the region through legislation and strategy.


Hi everybody Joe for Jasper's case breaks calm coming at you with 21 22 tops UEFA Champions League soccer Well, it's actually probably it's kind of mixed up a little bit. It's actually tops chrome Merlin UEFA Champions League soccer It's kind of all right anyway. It's a 12. You get it. It's a 12 box break pick your team 11 Full hobby case all card ship There it is 21 22 UEFA Chrome Merlin it says there Big thanks everybody here for making it happen on a Sunday Sunday Sunday Sunday I should probably put just help the shipping team out put the 17 team combo to the list as well Stand by let me just reprint this list down Sorry trees. All right. Oh, that's printing. Let's pop this open here Empty box new list Trendsetter what's going on Aaron? How are you? All right, so there we go. So once again big thanks everybody here Robert got the 17 team combo which includes all those teams There it is. So let's see Merlin let's see what kind of magic we can find in here ladies and gentlemen tops chrome Merlin Tops Merlin from either way good luck Yeah, this is the set Here's something unique right here This is a set where the cards are made in Italy So if you can compare it with other chrome cards that you have Just in your collection you can kind of tell a difference pretty cool Your lies are on a three-game win streak Super Bowl here we come and Trendsetter before the season you were acting like they weren't even gonna win three games this year Now you just don't that's a complete 1-8 Now it's Super Bowl time It's got has been there before And the running game looked really good for the Detroit Lions today. So then They can keep doing that might be a good recipe for success Well, I told you that that it was a team that it was capable of doing that and You did not believe me first box and of course all card ship You can already feel like it. There's like a different feeling to that stock there, which is which is pretty cool first auto Already out. It's one chrome auto per box. So here it is that Sergei Merlin Kovic savage for Lazio and that was Is that part of the oh, there it is Lazio It's part of the 17 team combo. So Robert Congrats to you Now a lot of these guys You're probably gonna see In the World Cup. So it's a good time. You're definitely gonna see that guy in the World Cup You see that guy in the World Cup See direct relish in the World Cup, you'll see Lino Messi in the World Cup You're not gonna see Kareem Benzema in the World Cup though 71 out of 99. I think he got it got some sort of injury and training for the World Cup He's out, but that'll go to Real Madrid. That'll be for Chad That's a it's actually kind of a big blow for a big blow for the first team France Saudi Omane is also out.  That's for Lille. That'll be for Nicholas upset for the Canadians The rookie silver Antonio Blanco for Real Madrid It's Pat's and DACA 29 out of 199 for Leicester. It's gonna be for Victor in Leicester City and And Chad has Real Madrid. We've got Dane Scarlett 48 out of 50 for Tottenham That's gonna go to Joe in the Hotspur You see Jude Bellingham in the World Cup and there's killing a Boppe prophecy fulfilled insert For PSG Paris Saint-Germain, that's gonna be for Chad I Had if you go to the break schedule I do have some World Cup picks that I kind of loaded up here for entertainment purposes only I had to play today. I went with the underdogs cutter versus Ecuador Thought there might be some some home country magic here, but no Ecuador comfortably beat cutter to nil I've got to play tomorrow. I'm going with England as heavy favorites minus 280 versus Iran Just for funsies. I have some group picks. I have cutter to qualify at plus 350 Now I don't know if a home country as small as this has advanced, but generally home countries advance To the next stage I don't think cutter's gonna do. I think the only country that hasn't done it was I think South Africa, maybe I think was unable to get out of the group stages when the World Cup was there But otherwise most countries have if not all Wales to qualify Group B plus 120 Morocco to qualify or Mexico to qualify minus 115 Denmark to win the group plus 230. I think Argentina will probably think they're in the Argentina group, but Either you know just some value plays just seeing I'm not saying this is actually it's gonna happen But just see some value there Japan to qualify it plus 310 Canada to qualify it plus 280. I like that one Switzerland to qualify plus 120 Uruguay to win the group group H plus 190 South Korea to qualify at plus 225 Just just sprinkling a little lottery ticket money no scratcher money on it. Nothing too nothing too crazy just for It's a little skin in the game All right next box. I got Weston McKinney We've got Harvey Elliott Liverpool's Harvey Elliott 198 out of 199 and The autograph Declan Rice for Weston United Robert Robert Roar with Weston United Gets the 24 out of 99 Declan Rice. There's Harvey Elliott right there for Liverpool. That's gonna be for Ed He's got my club Liverpool. I got Vinicius, Jr For Real Madrid, that'll be for Chad and the rookie silver going to Wolfsburg That's gonna be for Robert Runkle part of that big combo team. Oh nice Neymar 49 out of 50 It'll be for PSG Chad Harry Kane prophecy fulfilled There's a silver killing Bob a Non rookies. I don't know really what that's gonna go for but still killing him Bob eight There's Sophie on D up 52 as 75 for Monaco. It's gonna go to Brian There's a rookie solver of Holigomers It's Giovanni reina that's for Nicholas and Leal All right next box Anyone have any World Cup predictions they need like group stage upsets or I Suppose it could go very chalk, but there's always there's always some kind of upset right some big Some big big club big favorite that doesn't even get out of the group stages It can be some upsets golden boot Sprink a little bit of lottery scratcher money on the golden boot as well killing and bop it plus 800 Which I'm now feeling I did I also had picked Karim Benzema his countrymen at plus 1300 But he's out for the World Cup Already lost that one, but that might improve the killing and bop a numbers So plus 800, I don't mean it might be plus 700 now 600 got Neymar at plus 1100 1101 Christian Ronaldo 18 to 1 Rae Charleston plus 2500 Venetius jr 30 to 1 Darwin Nunez 40 to 1 Cody Gapo 66 to 1 and do son of la hovich Plus 6600 The USA is pretty upsetting J. Lo saying no, they actually have a pretty good young team They should be able to qualify There's an Erling Holland silver nice And we got a Miguel Gutierrez 78 out of 99 Rookie card for Real Madrid that'll be for Chad the Erling Holland for bruxa Dortmund Matthew Nice one. I guess next year. We'll see him in his man city gear and Marcos Alonzo for Chelsea that's our autograph and That will be For Matthew Linder Min Sun and we got Kenneth Taylor for Iax 31 out of 199 That's part of the combo team for Robert Runkle Sun will go to Tottenham. That'll be for Joe Yeah, Victor saying watch that US midfield tomorrow. They are beasts. They are Well, we're gonna see him in action tomorrow. Jilo. That's 11 a.m. My time la time USA whales There's prophecy fulfilled Leon Messe It's Matthias tell and we got Duvon Zabata for Atlanta 10 out of 75. That's gonna go to Robert And the combo that blue shimmer Matthias tell That's for Stade Renee Yeah, I could be that could be a I don't know if he's on he might be He's French And I think he's still with the under 19s. Yeah, he's only 17 years old so So but that's a rookie car that might be one to hold on to in four years. He might be He might be breaking his way early 20s right breaking his way into that French national team 66 out of 150 That's Leon And that will be for the combo. All right next box. Yeah, I do like the Merlin design, too They have this in baseball don't they have Merlin in baseball Fans here's a news story from ESPN FC fans of victorious Ecuador were chanted her chanting We want beer during the World Cup opening win over cutter While the host nation support left en masse before the end of the game on Sunday Large swaths of empty seats in the second half summed up the cutter soccer teams disappoint and start to their first-ever World Cup but a lively and outnumbered group of Ecuadorians in the stands provide some levity by chanting for beer toward the end of the first half Wow, so this host team losing Ensures that this is the first time a host team has lost Their opening game. I didn't realize that This article is brutal and what might go down is one of the worst displays by a host nation to open a tournament Cutter had five shots in the match and none of them were on target team only had two touches inside the opposition penalty area No, they were not favorite. I think they were they were plus like 280 Soccer odds are kind of weird, but they were plus 280 to win outright. I think a tie was like plus 170 or plus 200 or something and Ecuador was plus One almost even money to win. There's Brennan Rogers Manager of Lester City does he still have a job? This is not baseball player Brennan Rogers. No, I think he's still he's still employed by Lester City Victor Ramos with Lester 148 out of 150 got Declan Rice 57 out of 99 That'll be for Robert got his autograph earlier and we've got Christopher in cuckoo For Leipzig 97 out of 225 and that will be for Nicholas We got Malo Gusto 151 out of 199 for Leon that'll be for Robert Runkle. We got Leslie Ugo Chuk Ugo Chukbu there you go for Stadre and a that goes to June 1 tomorrow's World Cup matches This is where all starts with multiple soccer matches a day now. It's gonna be pretty exciting a Lot of things going on The early early game early for me 5 a.m. La time I'm not gonna be awake for England Iran I'll watch the highlights later 8 a.m. Still kind of early Senegal Netherlands is tomorrow. That should be a good match actually And at 11 a.m. Pacific It's gonna be USA Wales I'll be awake for that. I'm trying to catch the I'll be awake early. I think actually go somewhere, but I could probably Yeah, you think you think Ecuadorians are all about Tom T. Hall Mike Tower. Yeah, they might be big there Possible how are the major leagues or teams handing their pro players stuff like the Premier League on pause? Yeah, the Premier League is taking a break for a couple weeks. I think sirs. There's Noni and my do a key For Einhoven that's gonna go to That's part of the combo team Robert with that one and there's Juco. Many 16 out of 150 for Monaco. It's a nice one for Brian but yeah, most most European leagues have a winter break already, so they're already have They already have a month off, but England, you know has a tradition of having like Boxing day games like after Christmas. They have what's called Boxing Day? And so they traditionally have Matches there and throughout the what they call the festive season But I think they put like a couple week pause on it and I think But I think they'll just they'll they'll resume. I think in time for Some of some of the festive fixtures is another Matthias tell nice one 250 out of 250 for Stade René Joom one with that. There's a rookie silver Molo Gusto for Leon for Robert Runkle Alex. What's going on? And of course the MLS season ended about a few weeks ago, so That won't be a problem for us catches many of those rookie silvers as possible and and Five out of 50 Roberto Carlos ageless alchemy insert Nice real Madrid chat nice on Sufati It's not a rookie, but It's pretty good and for Barcelona will be Aquamac Eli's Aquamac All right next box Anyone seeing any match first first match upsets. I can't see Well, who's the favorite in? No, I'm here. Oh Chad got no idea on the soccer. What are we looking for? You've got you've got some pretty nice teams You got Barcelona a lot of great like that on Sufati player that we just grabbed who find his autograph that'd be great There you got you got some pretty nice clubs There's some of the pricier teams remaining Christian Ronaldo and man United killing in Bapé For Paris Saint-Germain Vinnie Jr. For Real Madrid. So those are the players that you'll be looking for Alex asking how old will I be when the next World Cup comes around? 62 Yeah, we just did we did pull an on Sufati. So this guy except his autograph That's not his rookie card though, and you're looking for stuff like that, too Show you that in a second Those match ball cards are really awesome We got Jamal Musiala 2 12 out of 275 It's Vatterson for Monaco There's Vandersen Look like in my late to early 40s or 30s Or could it could be 20s? Who knows? Doesn't matter. Who knows? We got Liam de la 59 out of 150 speckle We're looking for super fractures. That'd be nice or these Renaissance cards These are pretty nice to Kevin de Bruña Renaissance Man City Victor Ramos Think these are short printed shorter printed or One per case I mean, we're gonna see him hopefully a lot in the World Cup. That'll be good for the hobby. Yeah, Victor's happy There's another Liam de la for Man City rookie card. It's pretty awesome Victor. I think what are what are those go for? It's Robert Lewandowski 22 out of 75 That is for pole. No, that's That's for a Bayern Munich. That's gonna be for Chad. He plays for Poland prolific striker here Chad So then that's one to keep an eye out for Poland in the World Cup Another rookie Vardio for Leipzig. All right, and we got Riyadh Mahrez Match ball signatures. These are really cool Really really good player here Man City That's for Victor. There you go Victor. You got the the Kevin de Bruña and now his teammate into a 1-8 this might be more comfortable in a Slider box here. There you go. I don't think this was numbered either. Sorry. I put some blanks on the bottom here Yeah, not numbered But real nice All right halfway through this full case break. We got another Full case in the store right now. You can pick your teams if you like. That's right Alex one chrome autograph per box on Average is this one of the products that are part of the World Cup giveaway from no Mike We already ran that randomizer People have their teams already Was this another match ball auto nice Yeah And my tower That's how I know he doesn't look at the the break schedule He's asking about my picks. He's asking about the World Cup promo, which has already been complete. Everyone's been randomized their countries And this break would have said World Cup in the title with the two soccer ball emojis This was part of the promo, but it doesn't have that. All right. There's a Ezal Zule Ezal Zule Barcelona rookie refractor Yeah, obviously you want to try to get autos, but a lot of the parallels There's a Cristiano Ronaldo silver Oh and an Erlen Hollen 87 out 275 for bruxa Dortmund Matthew Linder nice. Oh, you're saying is this one of the products that are being given away to winners in the promo I don't know That I don't remember The box list is on the website though if you scroll to the soccer section, you should see the World Cup promo thing there and a I Think all the details of all the box were given away there that I don't remember and a Mason Mount Renaissance card nice. I don't think these are too common That's Chelsea. That's for Matthew Linder Chad saying he's reading that there's a perfection card That's the rare card in this set I Don't think I've ever seen that so it must be pretty rare Man City Cole Palmer Rookie card for Victor there you go Victor and we got loom Chacona For Stadia Renee 72 out of 199.  I Don't remember die cuts being in Merlin chrome.  Like maybe there is What are those look like? I don't see die cuts on the checklist on this Chad and the match ball Autograph is Alejandro Balde rookie match ball and autograph for Barcelona nice and That'll be that's for you Chad Love these match ball autographs Congrats And next box Victor's calling a super frack. I would love to see it Are the Dodgers ever gonna win a world series again? I'm sure they will someday. I don't think I've seen a super fracker out of this either It would be pretty awesome Have I even seen? Like train whistle hits out of five. I don't know. It's been a minute or two since I've done a case of this Cole Palmer rookie Christiana Ronaldo silver Frankie D young Atomic to 250 for Barcelona Chad, I'm looking at the base set checklist on the on cardboard connection.com right now And I don't see anything about die cuts but it does go from The base set I guess autographs don't have an out of five But I think the base set Does go like purple to 15 red to 10 red wave to five super fracture one of one. Ah Chad was wrong It's the Renaissance right. Yeah, we pulled two of those. So we got pretty lucky in this case There's a Malo Gusto And we got an autograph for Lazio Philippe Anderson It's part of the combo team. That's part of the 17 team combo group. That's for Robert Robert Ronkel There's Christian Matzema from Monaco, that'll be for Brian rookie refractor and a green killing in Bapé 69 out of 99 This is a nice one Chad Paris Saint-Germain keep an eye on him and The French national team in the World Cup and their Sergio Ramos 112 out of 150 everyone's favorite Sergio Ramos All right next box Yeah, he's supposed to be pretty good Chad He's one of your favorites Among some of the favorites for the golden boot and without Karim Bendema on that squad Might be even more goal scoring opportunities for him. Yeah, I do too. I want to find out what that super fracture looks like Yeah, Gilo do you Are you telling me to read a did you know? Are there are there did you knows on the back? I'll read you a did you know? Did you know? Gilo, did you know that only one player scored more goals in the 2020? 2021 UEFA change league Only one player scored more goals than killing in Bapé this dude right here Who netted eight times for PSG on February 16th? He provided a hat-trick against Barcelona the beginning of a three-match spin in which we rallied up six tallies Did you know that Gilo? I don't know if I did. I don't know if I didn't know that I Knew scored a lot of goals. I didn't know that only one player scored more than him Who's that other player than you think? What do you think scored more goals in it? I could see Maybe Robert Lewandowski having more goals for Bayern Munich. We got Jules Kondi For Sevilla, it's a 250 That is for Robert Runkle and We've got Alejandro Balde for Barcelona rookie auto for Chad Another one of his 55 out of 75 Why soccer so expensive supply and demand Chad Not a lot of supply and especially with the World Cup around a lot of demand and And some of these cards can go for a lot on the secondary market Did you know that Erlen Holland became the fastest player ever To 20 UEFA champions goals with a second strike against Sevilla on March 9th, 2021 There you go. Some more. What more did you knows? This is Dembele for Celtic Yeah, Chad get get some get some of your stuff to golden. Let's let's get some money back here That's Felix in Metia 14 out of 150 for Vilsperig There's Gavi rookie refractor Barcelona for Chad There's Pedri Barcelona to 275 nice For Chad. Gavi's a pretty good player, right? Did you know? That Gavi was only 17 years old when he made his first UEFA Champions League start on October 20th, 2021 Featuring at both central midfield and the wing for Barca. He played 68 minutes in their 1-0 win over Dynamo Keef Completed 45 of his 50 passes. It's 90 percent. That's a good completion completion rating There's some NFL quarterbacks would love to see 90 percent Yeah, I mean that's the one-box break Chad. I'll definitely have time for that If you take a look at her schedule Chad, which is dropped in the which is dropped in the In our chat by Nightbot that gives you our schedule And you'll see you'll note that the schedule is pretty light after this and that pro tip everybody that schedule is That schedule is you can access at any time even when I you can bookmark it even when I'm not on air Sometimes I'll use that schedule like we've had the rare instance where We're like the power is gone out or something weird like that Usually I'll write on that and on our social medias, but also right on that schedule What what happens? That's another resource to see you can access Joe's picks there There's a shipping tab there too where you can You can see what the status of your of your break So you'll you'll see the date of the break and then next to it. There'll be another column that says What's happening with it? Yeah, 17 Yeah, when you were when Gila was 17. It wasn't doing squab. Where yeah, what were you doing to go? We got Kyogo Furu Hashi 137 to 150 For Salty that will be for Robert And we got a new no Mendez for PSG. It's for Chad Those are the low those are the lyrics in a song by Frank Sinatra It's the song Victor called the summer wind the summer wind Came blowing in no that's a different song. That was it was a very good year Is it called when I was 17? That was called when I was 17 It was a very good year. It was a very good year for group breaks and Harveyville to 275 When I was it was 35 got it 35 that was the last very good year When I was 35 We got Angolo Conte to 99 that's for Chelsea that will be for Matthew Right. I know Victor. I caught myself. I was like, wait a second. That's not the right song What was I do?  That's what I would listen to a lot So that's what I was doing when I was 17. Was I a good tennis player my teens? No, I was not played I played JV doubles and At that I was not even on Probably traveled once to an away match For a double tennis that JV doubles hands, but uh, but you know what I played hard Played hard. Hey, nice Kai Havertz Chelsea autograph for Matthew played with a lot of heart though Chad Played a lot of heart and then we got a speckle Badia Sheila to 150 for Monaco, that'll be for Brian Is that is that being a hipster? I don't know. I think that's just being a teenager in the 60s Jilo, you know listening to listening to Vince Scully broadcast Broadcast games on the radio The Dodgers that just moved LA Pretty exciting times That's right ranked last on the corporate number one in the heart. That's right. That's right I would just talk to the Other scrubs on the girl tennis team. There's a non numbered killing and bop it. That's weird Aren't the greens number? I don't know what's happening there, but printing error looks like Now I'm curious If all 99 of these are pulled will the every one that's missing a number Like this is like the last one, but it just got misprinted Or do you think the front was misprint? It was never supposed to be numbered But they accidentally put some color on it. Don't know did I ever play Australian doubles? I don't know what Australian doubles is my tower. What is that? I played a lot of pickleball I If I knew that was gonna be a trend, I knew that was gonna be a trend. I would have Would have kept doing it Yeah, I should send tops. Did you know did you know you're missing a number on this top? When I was Jaspie's one It was a very good break It was a very good break For group breakers and spectators We ripped lots of packs Pulled lots of kids when I was Jaspie's one You're playing Tennis in high school Get to do it that that once as a singles player when there wasn't a match of players versus the other school team They had to so that is that called us. I've never heard that Australian doubles where it's two on one I've done that before as a In like a training session We just called it two on one though, and there's Charlie Savage or Savash that goes to man United That's for Chad. That's a 192 out of 199 the Sydney Raiberger for Leipzig. He's pretty good Did you know that Sydney Raiberger has been a part of RB Leipzig Red Bull Leipzig you said since he was 10 years old Six years after coming aboard. He became the youngest player in history to make a senior debut The midfielder features excellent passing range a deaf first touch and a keen eye for gold Yeah, a keen eye for gold for gold Yeah, a keen eye for for gold Christopher and Kuhn Kuh Chris also going to Leipzig. This is for Nicholas. There's Luca Sucic Sucic and we've got Zidane Iqbal 98 out of 99. This one's print. This one's got a stamp. It's got a number This is for man United Glory glory man United There's Iqbal again rookie refractor for man United that's for Chad Azlata Nibra Himovic And Kiyogo 222 out of 225 gold wave for Celtic. That's for Robert in that 17 team combo. I Don't know if this is really worth that that one but it's cool Cuz I like Zlatan AC Milan. That's for Robert and that combo group. There's Angolo Kante and That my friends is that That was 2122 tops. We have a change league Merlin chrome soccer 12 box pick your team number 11 another box in the store right now Pretty nice break at the Ky Havards got to match ball Autographs, which is pretty awesome. We got to stain glass Renaissance inserts Which are pretty awesome. We got it Erlen Hollen pink to 275 Declan rice a lot of fun stuff your great break in tons of beautiful parallels more in the store Just these case breaks calm. Thanks for watching. Thanks for breaking with us. I'm Joe I'll see you next time for the next soccer break. Bye-bye