Se on jotain, jota olet tullut, että olet oikein ihmisiä, mutta olet myös yksinkertaisuun, että se on yksinkertaisu, että olet oikein ihmisiä, mutta miten... Mitä on tietysti kokeilla, että oikein ihmisiä on tullut tai löydää? Se on todella tuolla. Kun sinä olet kokeilla, sen jälkeen pitäisi yksinkertaisuun kokeilla, mitä sinä olet kokeilla. Se on se, että Se on tärkeää, että esim. keskustelua, jotta eri kulttuurista ja eri start-upista on, jotta erityisesti on paljon firms tilaan, jotta ei ole todella hyvin kokeiltani. Se on tärkeää, mitä vaikea on, mitä kompetenssia olet kokeiltakin. Ja se on tärkeää, että se on todella yksinkertaisu. Kun olet yksi kokeiltti, haluat saada yksi kokeilti, jotta on tärkeää, jotta on tärkeää, person, who can do everything from supply to demand to... Like, for instance myself handling everything from accounting, finance, supply, then actually doing the testing of the phones myself, bringing those to customers with a bus or with a bike during the first weeks and purchasing those from like people's homes, because you know, we had no cash... We had no cash or no funding to run the business at scale, johon ensimmäinen päivä. Jotta on hienoa kokemukkaamme johon ensimmäinen päivä. Särin, jos olet jäädä johon jäsenpäivä. Ja sitten, kun jäsenpäivä jäsenpäivä, jotta on jäsenpäivä, jotta on jäsenpäivä jäsenpäivä ja johon jäsenpäivä. Ja se on mitä johon pitäisi olla hyvät. Jotkut pitäisi kokemukkaamme, jotta olet jäsenpäivä, jotta olet jäsenpäivä. Ja se jäsenpäivä on nähnyt kulttuurin ja kaikki, mitä sinä haluan tehdä. Jotkaatko, että olet jäsenpäivä jäsenpäivä ja mitä olet? Kyllä, että jäsenpäivä oli ja on ollut yksi kokemuksia. Ei ole jää, että olet olevan yhteyden. Sinä sinä olet jäsenpäivä pitäisi lentää edelleen, jotta olet jäsenpäivä jäsenpäivä. Jotta olet jäsenpäivä jäsenpäivä, jotta olet jäsenpäivä jäsenpäivä. Se on the key focus area since day one. Ja jotta olet kurrespeikin the beginning being obsessed about customers is definitely that. So you need to be in really close connection with your target group product market fit. You need to gather data from the field all the time. When you're going from zero to one it's much more like you won't have the numbers, so you need to gather qualitative data and then the data from public sources and other sources that are available. But when you're creating a new market as we have been doing and changing customer behavior in this space it hasn't been so easy, especially in the early days we didn't have a lot of public data available in the market. So then we needed to make assumptions on the interviews and everything with smaller sample sizes. Yeah, that's something that we actually wanted to touch upon a bit is the category creation thing that it's very often said that it's maybe not the best thing to be the first mover because you make all the mistakes and now you're creating a kind of a new market. You have had the used phone markets but you talk about refurbished phones. So do you see a threat here that someone will just copy you and put more money into it and run by you or do you think the market is big enough for many players or how do you even approach this dilemma because it's something that hasn't existed before as you said? Yeah, it's definitely big enough for many players and in a way it's an execution game and that's what I like about it. Frankly said, once you have the best capabilities, best talent in your team you shouldn't be too worried about that. There's not much weakened patent here so you cannot be too worried about competition. Of course you cannot be arrogant in a way paranoid optimist is a good word or a good phrase when thinking about it. You need to keep your eyes open for any threats in the market, anything that might be out there and always look out for the better, more innovative services in the market than other companies out there but cannot really worry about it too much. When we are a frontrunner and growing as fast as we are, like at the moment 3-4x, still a year over a year, still kind of like from these numbers, it's going to take a few years for anyone to catch us in a way and the market is also big enough for multiple players. So you're going to be able maybe to sustain that kind of growth rate even still. You just raised some new funding, quite a big round so you should have the cash but maybe looking into the more specific ways of growing, it's probably something that's very interesting for many people running their own companies online. You're an online business basically purely. So what are some of the strategies you have used to achieve, more specifically like to actually, where do you acquire users and how do you think about that kind of things? Sure. So yeah, once you're growing from zero to one, it's really simple. Back in the days it was just, you just try out some marketing, you can even like, I like some of the examples of how Airbnb started for instance back in the days and how they kind of like hacked Craigslist in a way, just put their advertisements out there. Once you're going at basically the shoestring budget with no funding, we did a lot of similar things back in the days when acquiring the first users and then listen to all the feedbacks from them so we could improve the service as fast as possible. Now once we have found the product market fit, now it's more about like we need to think, we need to constantly think to what markets we need to go and how fast we need to grow there, how fast we need to find the product market fit. You need to plan a lot in advance and not just like a few months but much longer cycles because you need to also have the right hires in at the right time and all the like gun charts and everything else ready. So it's very different. What comes to marketing and user acquisition? That's done mostly online. Use social media mostly or do you also, yeah mostly online so not that much like these bigger brand awareness things that it's more tactical, more measurable. You put one euro in, you get hopefully more than one euro out. Well, there is the brand awareness factor as well that you cannot create a category without being really good at that. But that can be done online. That can be done through radio, TV, of course like outdoor display ads and everything else but that can be done online as well like through Facebook, YouTube, you name it.


Season four movie feuds is officially done and with it five starts up but we're gonna look back on this season and look at the 50 episodes I did. I gave you the ability to vote on each one of them and today we're gonna go through the first 25 in the series. In my next video we'll do the last 25. We're gonna see how they stacked up with your results. We're gonna see how they stacked up with my opinion at the end here. This should be exciting. Let's get started.  Let's be honest. At the end of the day it's pretty bad. You guys agreed with me. I won this one against my friend Derek. It's a nice way to start season four of movie feuds. Let's hope this train continues a rolling. I thought Smog was fun but ultimately an empty affair being stretched out into three books. That's what's gonna happen when you don't have the source material to work off of. Harry Potter I thought was a nice trip. It was brilliantly executed. A lot of you agreed but not enough. This was a losing battle for me right out of the gates. I think we all saw this coming. I was also foolish enough to have my brother come out of the show as if his ego isn't inflated enough already. This episode has over 2 million views and he of course thinks he's the reason for it. We all know that's not the case. Gravity is a beautifully shot space survival flick but one that felt a little bit empty.  Another family member notably my wife comes on to Feud and another family member wins. I don't understand how Toy Story could lose to the Lego movie but there's a lot of kids on YouTube so that's just the way the Lego crumbles. The original Robocop is a great movie. The sequel felt like this or not the sequel. The remake felt like this rushed cash grab. It didn't have anything unique to say. I was a bit disappointed by how close this feud ended up being though. I lost but I really don't care. They're both big budget dumbass movies. They're a horse apiece or whatever the phrase is. This was a feud for the best superhero film not just film yet somehow of course Dark Knight pulls out over the Avengers. That sounded really bad. My cousin Drew was on. He won. He smugged his hell about it but I can assure him that's the last time he wins on this show because he's never coming back. He came back. He won again. This was a f***ing massacre. I knew Captain was gonna win but I didn't think it was gonna be such a landslide. Mark Ellis comes on and we battle web heads. Somehow the Amazing Spider-Man 2 beats Spider-Man 2. This is ridiculous folks. You need to check yourself at the door if you think that the Amazing Spider-Man 2 is better than Spider-Man 2. Two amazing heartstring pulling films by Pixar go into the ring. Thankfully Wally wins. It's one of my faves by Pixar and it's finally another win for me. I was on a very downhill slope. It's time to climb back up. Well that was a cluster f*** now wasn't it?  Concern is Greg Miller was the cherry on the c*** because I think he's awesome. He actually came back on to do a game feud. Spoiler he lost again. I'm on a hot streak now. I'm not monkeying around. I'm getting a lot of wins piling up. DreamWorks finally gets some love on this show. Yet still no Shrek episode. Season 5. I'll do it season 5. And this is another win for Old Adam. If you want to surefire victory bet on a dragon every time. The line of YouTube took a break from reviewing every movie ever to come on my show and feud which movie was worse. X-Men 3 was my own personal hell. I'm glad you agreed with me. Sorry Chris Stuckman. Maybe next time. I'm gonna be honest. I have no idea which way I was actually pulling on this episode but this feels like a win. I'm gonna take I'm gonna take this one too. Harry Potter. Cloudy 2 was a great follow-up to the charming first flick but you can't keep a good minion down. I did a face-off with Jonathan Paula on a worse versus worse episode and even though he ended up winning by looking at the comments we both lost. This is an episode you guys asked for. I am not a big horror movie fan so I forced myself to sit through both of these movies. I was pleasantly surprised by their mediocrity and not just full-on terribleness. And the one that I wanted to win did.  I'm happy you lost. Oh yeah. I'm gonna be Frank with you and you can be Tom of course. I just wanted to see the Dark Knight lose to something all right. So I put it up against Don of the Planet of the Apes. It was a new movie. It did really well in the reviews. It's a great film. I actually do like it more than Dark Knight but this was a ridiculous idea okay. Tom Chettlebash won. This was his call.  And this is Saturday Night. There's the first 25. I'm gonna cover the next 25 in a few days maybe a week whenever I get around filming again. 14 wins for me. That's against other reviewers and that's just against my own personal enemy myself. You voted with me more times than not though and that means I'm doing something right. 14 wins. 11 losses. I want to hear how you did. Do you remember even what you voted for? Did you even vote for all 25 of these episodes so far? Put it in a comment below and remember this is more than just reviews. This is Movie Feuds. We'll see you soon. We'll see you very soon. Tom Chettlebash.


Based on the kind of data and needs of the audience are the key factors in managing successful information systems. So this Academy will be conducting for 10 days starting from today, so it will be the entire this week and the next week. So, this Academy is going to be a kind of a very interactive one and not just one way communication based on lectures. So we'll have we have so many items arranged for you all, we have lectures demonstrations, as well as few group activities and not to forget there'll be assignments and final examination as well. So, more about this, the structure agenda and how the content is organized we will explain to you later. I'm sorry for the delay that we had in starting this session mainly because we were waiting for few participants to join who had some issues, some technical difficulties in joining the session. Right, so I assume now we have we have all together 45 members. Before we start with the first item, just a kind request, I think some of you have been, you know, like, if you look at the participants list. We see a lot of you appearing as a DHS to DHS to the name. So kindly, we kind of request you to rename your name to your, your name so that we can identify who's actually using the particular account. This of course happened due to one, some glitches that we had while configuring the learning management system so most probably our team is working on that and how to fix it. So in the meantime, I think before we move on to any content and the objectives of this academy. We would like to do a round of introductions. So we have an expert set of panelists facilitators conducting decisions. So I think we can introduce the list of facilitators first. As I mentioned you before, we have the facilitators representing the his pin there and his Sri Lanka to expert DHS to notes in the Asia region. So let us start the start with the his India team. So if you could introduce your team. Yeah, thanks for more. Hello everyone, and we welcome you to the analytics level in academy and thank you for taking the interest in joining the course we hope that you'll have a fruitful experience over the next 10 days. I'm Saurabh Singh myself I'm Saurabh. I'm working as detailed systems with his pin there, having around 10 years of experience on DHS implementations and I'll be one of the facilitators taking the sessions and will be communicating a lot with you through the slack channels and answering questions and making sure that the concepts that we cover are well understood and you moving forward you'll be able to implement those in your respective work areas. Thank you. Get the guy if you could introduce yourself please. Hello everyone, I'm get the car working with his pin the last years. I have been working mostly on the tracker implementations and recently I've been working with the immunization packages and antimicrobial surveillance programs. I'll be taking few sessions in the academy and look forward to talking to all of you. Thank you. Hello everyone, my name is Senator party and working with his India, and it's been almost six years of working on the DHS to implementation, and I will be supporting in this DHS to academy. Thank you so much. Hi everyone, I am working with his pin there from past few years on the DHS to implementations. And I'll be with you for the next five days during this academy supporting during the sessions. Thank you. All right, so just few lines of introduction on the course that what are the target audience with for this course and what target area that covers so basically this training will target the people who have been working with the DHS to implementations and working with the data where you frequently use the analytical outputs which are available in DHS to so through this tender course what we will try to do is is to take the analytical apps available in DHS to on a day by day basis and try to cover these and the functionalities and the various features they have in terms of producing outputs for the data which the programs and the implementations are capturing the focus is more on the analytical components of what is feasible to do in DHS to it may not be focusing extensively on how to convert data to action or how to actually focus more on the data use component. But it would be more on the functionality aspects of DHS to in terms of how we can help you build your capacities to use DHS analytical apps to produce the analytical objects and items which could be further utilized taking decisions and converting data into action. We will be having brief sessions on the data to action framework, where we will be talking about how DHS to can be used as a tool to convert data into action, but then largely the focus of the Academy would be towards using the analytical tools in DHS to how to go about it and you'll have various theory sessions you'll have practical hands on exercises you'll have both ungraded and graded assignments, which will kind of help you to do practical get a practical understanding of the topics and use DHS to more actively in your implementations. The learning goals that we have is to, since we all belong to the DHS to community because we're the users of the global code that is being developed over so many years. So we would like the participants to get an increase in the level of understanding of the features and so that you're able to produce the reporting outputs using the DHS to analytic applications. How you could use the core analytic applications within DHS to produce reports and increase the ability to use supplementary applications, which might not be part of the DHS to code software, but then can help you to review data and produce reports within the DHS to system. So the performance objectives that we have for this course is to how we could use the analytical tools within DHS to review the quality of data. So since we are kind of working in implementations where data is of high importance and if the quality of data is not good then it kind of doesn't help us to reach our objectives that we had in terms of using a tool for data management. So we will have some dedicated sessions where you could use how you could utilize the analytical features in DHS to manage the quality of data. Then we will focus upon the explanations behind the analytical apps and how to basically construct different analytical outputs, what considerations you can take in terms of designing your outputs and what are the dos and don'ts and the best practices towards doing that. Then it's important that we share the data and make it open for interpretations and kind of present that data to wider audience so that we're able to get more feedback on the data that we're collecting and kind of helps us to kind of build communication around data and how that communication can support the teams and the program managers, the enemy officers to take better decisions on the data that they're trying to collect. And then provide participants with the real experience of using data within DHS too. So we'll have a couple of examples where we have kind of designed the programmatic data in a way that will kind of resemble a real scenario within the system for different health programs. So we will have a look at those use cases and do those exercises to kind of understand if you were working for CHIV malaria or the tuberculosis program, then how you can use DHS as your analytical system to kind of monitor the quality of data and take decisions based on the data which you kind of present to others through the analytical apps available in the system. Then we'll be also focusing upon the design choices in terms of, as I mentioned that when you are designing outputs, there are multiple ways in which you can present the data. But then there might be better options available where the same data could be represented in different forms and there are some preferred forms which kind of adds more value to the data which is getting collected. So we'll focus upon what design choices, what implementation considerations you can make when you think of designing outputs from the DHS to analytical applications. And then we'll also have a look at the certain components which could be configured to kind of support the analysis of data within DHS too. And then based on the experience that you had in working with different countries with different health programs, what challenges that we've seen in terms of analytical outputs and what could be the potential solutions to address those outputs. Because one size doesn't fit all if DHS too can do something which another system might do better, but then we of course cannot implement all the systems at one place. So if we have better examples of analytical solutions available then how we could manage the same things within DHS too and what are the alternate solutions available so that we find the right balance between what the system can do for you. And what are your requirements in terms of the analytical needs which you have for your respective health program. So this would be kind of a mix of building core components within DHS too and utilizing the applications for compiling information together what is already available in the system. So there are certain DHS to items which are all core functionalities we'll be focusing on these functionalities on a day by day basis and try to see that how these particular apps add more value to the analysis which you want to carry out. So validation rules are kind of the logics which kind of add the data quality layer on top of your data. So we'll see that how validation rules can kind of help you to identify basic quality issues with the data. If things are not related to each other and still if they haven't reported in a higher number or lower number. Then if we have these predefined logics which can run over your data set and can give you errors that these are the potential conflicts with the data which can help you kind of see relationship between two variables or you can set thresholds and you can see the consistency of data over a period of time. So validation rules have multiple use cases where they could be reflected upon so we'll see these use cases and kind of guide you through the process of how you can create such validation rules for different functions within the DHS to system. Then we'll focus more on the analytical applications which are already available in DHS to the pivot tables the charts and the maps. So these are three core applications which are available in the system, which kind of help you to create analytical objects which could be in a tabular format if you talk about pivot tables, which can be different kind of charts. Multiple chart types are supported within DHS to will see what chart types fit what kind of data some orientation on that, and then spatial analysis data through maps. So maps are good platform a good mechanism to see the overall spread of data or geography and you could see it over time and move across the hierarchy depending upon how the maps have been configured in your DHS to implementation so we'll have a look at that. So we'll move to the more core areas of data presentation visualization and sharing and dissemination of data. So through the interpretations and the dashboard components we'll have a look at how we can create these objects assemble them into a well laid out story a dashboard and how that dashboard can become a tool to kind of build a communication around data through user interpretations. So these would be the core focus areas and the learning objectives of this academy the next 10 days. So, we will be kind of putting a lot of emphasis on providing you with as much hands on exercises as possible. So, when we review the agenda will see that there are multiple exercises after each session of the topic of the day that we covered. And there are some things that we need to note that the focus largely would be on to kind of enable you to kind of enhance your capabilities in terms of creation of the outputs. So the definition of things might not be covered in detail because that is part of the other academies that we run for DHS to configuration. So we'll not be focusing more on the configuration will be focusing more on the the pre configured items which already are the indicators the validation rules, and we'll see how we can kind of take these things together and build more analytical objects out of it. So the course will have a set of quizzes and assignments that will contribute to your final grade, and the overall grade should be 70 and above in order for you to get a certificate from the ETX system. So all the courses will all the graded assignments will get automatically graded based on the response which you provide on your open index account. And based on the calculation of scores at the end of the course if you have been able to attend attend all the sessions and have been able to do all the assignments correctly then automatically a score will get generated and your option of generating a certificate would get enabled through the score. So this is the learning and evaluation plan based on the different assignments that we will give you and the weightages that each of them carry attendance is critical. So we request you to please ensure that you maintain the continuity and do register your attendance daily on the open index platform. So this is the weight of around 10% to the overall score, then you'll have graded assignments for pivot tables data visualizer maps and dashboards. So these would be these exercises would be available on edX you need to just input your answers there and these these great exercises would be done after the day for that specific topic is over and you'll have some grace period to submit your each of the topics which have a graded component associated to it. Then you'll have on day nine, you'll have the full day to do a comprehensive exercise which would be a sort of a case study which kind of they'll bind all the concepts all the topics that you've covered across the eight days. And that would be also an automatic submission on the open index portal and you'll be graded accordingly based on the responses which provide to the questions. And then they will find exam which would be you'll have an hour 15 minutes to answer 40 multiple choice questions and based on your responses you'll be graded for that specific exam. So these are the components which are essential for you to submit your responses again so that the the LMS is able to process your final scores and it can generate a certificate. And hopefully we hope that you all will be able to attend all the sessions and submit all the assignments and also give the exam on on day 10 so that the certificates and all would be generated for you with the flying colors. So just a quick overview of the course today we're on day zero so we will be basically covering just the scheme of things. We are already on the course overview and grant has already given you an introduction of the learning platform. So we'll be quickly doing an introduction of the slack platform which you can use for all the communication which you want to do with the facilitators for different aspects so we'll go through that after the session. And we'll have a couple of demonstrations today kind of given overview of the the analytics tool features which are available. So as I mentioned, we'll be focusing on the validation rule aspects which kind of are the data quality component within the DHS to construct. So we'll introduce the validation rules and then kind of configuring simple rules then how you could use thresholds and validation rules, how you can create validation rule notifications where a user group would be notified of potential data quality issues with the data. And how you can use validation tools check the internal consistency of data and how you can use validation tools against calculate thresholds. So the next two days, day one and day two tomorrow and day after we'll focus on the data quality aspects. Day three, we'll be covering pivot tables and we will be taking you through different options available in the pivot tables up. What are the options available to create your tables, select your dimensions and choosing different layouts using disaggregations, downloading data using legends and all that. So all the features which are essential to create a good tables in which could kind of summarize your data in a presentable format will be covering those respective products. Therefore, we'll focus on data visualizer, which is basically the charting application so we'll see what are the different chart types available, how you can work with the layouts with different chart items the chart types available. The use of disaggregation and what are the new components which have been introduced in the latest releases of DHS. So we'll cover that in the data visualizer session. Then we'll talk about maps to give you an overview of the thematic layers and the all the layers available basically the boundary layer fester layers and how you can work with the legends. So you can move across the hierarchy with the data by drilling the map and new features have been added recently for split and time and maps so we have a look at that as well. Day seven will focus on the dashboards and the reports app in terms of how you can create dashboards how you can share dashboards how you can use the dashboards for sharing your kind of set of analytical objects which are combined together. So the separate reports app which kind of helps you to look at the reporting rate some of these of the data data set reports and the distribution of arguments within your administrative hierarchy which you have paid in the system. So we'll be focusing on the interpretations in terms of how to use the data to action framework in DHS to through the analytical objects which you have created till date in your exercises and in terms of considerations which you can use in your existing so how best you could use an article outputs in your implementation and what are the challenges that we're foreseen globally in terms of the analytical capabilities in DHS to and what are the other solutions available which could be put into place for for making the best benefit out of the system. Day nine in 10 we have the the comprehensive exercise and day 10 would be the last day of the course which would be the exam and hopefully by the end of day 10 you'll be able to pass the exam with good results. So this was kind of an overview of the entire course what we intend to achieve through these next 10 days what are the different topics that we'll cover. Just an overview of the various sessions will be there in each day. So if there are any questions then I can take those up if not, then we can have a small break before we proceed to the next set of sessions.


Steve who will talk about open software deserving open hardware Start the calm down. All right. Thank you Great. Can everybody hear me? All right? Wonderful. How many people are drinking already? Fantastic my presentation is gonna go great. Thanks again to everybody. So Bester. Thank you very much to the folks at Faustim Let's get started. I'm gonna focus on a couple things a little bit about software-eating hardware Cover the OCP foundation and the projects that are that are taking place and then lastly share just a couple of examples around how Software is working with open hardware to start off though most interesting headline I read yesterday on the news how Self-driving cars are going to be just cruising around to avoid paying for parking and The article then goes on to say how regulators are then going to have to come up with all new regulations on congestion Tax and road tax So I always find it interesting because my colleague always says that however fast open-source innovates Regulators are always trying to chase them to do more. So keep up the good work and keep the regulators Way way behind The other thing if you get nothing out of this add this to your reading list Architects of intelligence book that just came out not too long ago It's an interview style of around 25 or 30 of the guys that are driving AI right now And many of them you probably already know many of them are brand new to me, but highly recommend it All right getting on with software-eating hardware This number is likely going to be a lot higher. So by 2020 or next year Gartner saying or IDC saying rather that 30% of this is going to shift over to open source The customers that I'm speaking with now are probably in that 40 to 50 percent if not higher Looking back prior to VMs moving to 2008 when we came up with lightweight VMs and then moving on to 2018 you're seeing a massive reduction in the amount of hardware that's needed to run apps and Earlier when Facebook created hip-hop virtual machine to cover their web servers They were actually able to reduce the amount of hardware. They needed by 80 percent or more and Just a couple years ago. This right here is a YouTube video of the Deutsche Bank CTO talking about their digital transformation and Covering almost two-thirds of their their hardware estate gone running 85 percent of their apps So how is this translating into my world? Well, there is No doubt that Linux is pervasive across all of the data center infrastructure The same is happening in ours. So we're seeing a linear Correlation between the amount of people that are adopting OCP and The interests that's happening within the overall community The way our foundation works that's different than say a couple of the other organizations in Hardware you have two extremes. You have Standards bodies on one area. It's where vendors get together and say let's create a standard You might get voluntary adoption from that say from one or two customers Then on the right hand side you have multi-party sourcing agreements That's where a bunch of customers get together and say let's pool our buying power and They may get one or two vendors to then supply that In our in our organization you have vendors working with suppliers working with end customers working with consultants So I'll come together to pull out this hardware design In the OEM model You have the traditional Dell's HP Cisco's They go survey a bunch of customers or they get this feedback on designs Then they may gatekeep some of those that innovation Based on the need that they need to serve 90 percent of the market So in the open-source model, there's this perceived chaos that happens between now I can actually work directly with the hardware manufacturer So if I'm an open networking switch manufacturer, I can actually go to right directly to that manufacturer and get my switch I no longer have to go through a traditional OEM that wraps all their services and support on top of it So moving on to the foundation itself. This is a news article from 2010 when Facebook first announced that they were going to build their own data centers So not only did they build their own data centers They went directly to the manufacturer and said they started doing their own hardware design But what was different about this compared to the other hyperscalers is when they got done designing their own hardware, they open-sourced it They open-sourced their switches Their servers their storage their rack their power and even their data center design So they in 2011 they started asking themselves. What can we remove? Can we actually run the servers at a higher temperature? Can we get rid of a lot of the stuff in the data center that we don't actually need? Open-sourcing that into a technical nonprofit foundation You had five other companies participate Goldman, Rackspace, Intel, Microsoft From that You have the open compute foundation project 200 plus companies now focused on four key areas Everything that we do that we bring into the foundation has to meet and pass these four criteria for example All of our designs have a toolless design. So you actually know you don't need tools To operate on the servers. You have touch points a Lot of the hardware comes with a larger fan Creating more efficiency. You have shared power in the back. You have some flood cooling as opposed to Big chillers on top of the data center. So a lot of efficiency designs that are taking place The project itself ten right now ten working projects run by volunteers across all kinds of companies The most interesting The networking is by far the most active and then open systems firmware, which has just started recently It's currently being run by one gentleman from Google and another gentleman from Microsoft So what types of companies are participating? Don't get too bogged down in this giant list here. I'm just gonna pull out a couple AT&T and Deutsche doing a lot around open Wi-Fi and open telco edge products Alibaba doing a lot of advanced cooling for us JD.com and inspire so inspire in the top right the number three server manufacturer in the world open sourcing all of their All of their designs There's some worldwide companies here in Europe We have over 40 companies in Europe that are based in headquartered here that are participating I'll pull out a couple that may be of interest OVH To CRSI based in Strausberg doing some really interesting HPC oil and gas solutions Rapid space. I'll get to those guys in a minute IT renew and then down here on the bottom Corner you see Submar they're doing some really interesting liquid cooling for a lot of the large hyperscalers So liquid cooling and advanced cooling technology has been the number one growing Area of interest in our community in the last six months Because of the higher density racks the more computing power the traditional cooling methods are not going to be able to handle it On our website, you're going to see a few things Primarily, you'll see some of the older things here. You'll see specs contributions designs. We've taken those for years You'll see vast amounts of paper specs over on the other side You'll see new things coming along reference architectures case studies white papers all coming from our members Two examples of what's happening Edgecore one of our largest open networking companies introduced 400 gigop optical networking and Then Microsoft working on some new cloud hard drives So these two projects specifically are born out of companies not being able to solve a problem themselves What happens in the community is you have one company that raises a problem around hard drive APIs They raise that question and when inevitably inevitably you have three or four different other companies That have the exact same problem and start to work on it I pulled out these examples here because as you're working on the software piece It's important to understand what the companies that I speak with are looking for All of the new Hardware that they want to buy they want to look at the open compute hardware because they're trying to run new applications And all the new applications are the things that you guys are developing And they want to run it on the same type of hardware that the hyperscalers are running it on the same type of hardware That Facebook's running that Ali Bob is running that Microsoft's running so ing Tco booking 40% less energy than traditional blade servers So these numbers are important as you guys go get funding to go work on your other projects The numbers are even more apparent for this Russian gaming company when you're looking at networking side The move from a traditional Cisco to a white box product is pretty significant And it really matters when you're talking to the business side of the house about how you can justify The open-source projects and moving to open hardware in Addition to open software the combination is really really compelling So think about if I'm doing new applications. Can I use open hardware to even increase my benefits? standardization Facebook Deploys hundreds of racks a year Thousands of racks across multiple data centers What's interesting about the way they deploy it is that if I'm going to be doing a new application on faith within Facebook or new service I have to fit it. I have to make sure that my application of my service runs on one of these seven types of racks So every one of their racks, they just have seven types and just they run at scale Now if you go to a traditional bank, they may have 3,000 different applications and three that 3,000 different types of racks So always be thinking about standardization and this is the way that these guys can scale When I talk to companies, they're always trying to get down To fewer applications and fewer rack types to increase that standardization I'm going to touch on four of our embedded software projects Only which is the open network install environment. It's run on probably almost every open networking switch switch abstraction interface The open network Linux and Sonic the software for open networking cloud was donated two years ago by Microsoft It is the largest group that we have now in the open networking side most of your large companies Tencent Alibaba Microsoft all running Sonic It's all available on github and I encourage you guys to take a look at some of the things that are happening on the embedded firmware side The open systems firmware side is another project. There's a session tomorrow at 1 o'clock Which Facebook is going to be talking about their Linux boot? I would highly encourage that. We are partnering very closely with the Linux boot side of things Gondrala and Ron are both from Microsoft and Google running the open systems firmware project within with an OCP We also work very tightly with other open organizations. This is an example of the opnfv virtual central office demo So on the telco side as people are rolling out 5g's all the typical telephone exchanges are being replaced By virtual central offices. I can run everything from a central office on software I can no longer need high-cost Proprietary hardware sitting at my tiny little office or my tiny little demo rack out in the middle of nowhere I can run out that on all OCP gear and This is a typical Engage and encounter that we've had with the opnfv organization One last thing I always try to hit on is the efficiency side and why it's important specifically here in Europe This is some legislation that was passed just a couple months ago around eco designs on servers There was a lot of issues happening a lot of people against this primarily large OEMs This initiative had to deal with the idle Energy usage of servers so they focused on the idle piece of it because many many servers in an environment are running at idle idle piece So in 2020 or 25 2023 there's going to be new legislation around how efficient a server needs to be at idle OCP and open designs are meeting this expectation So here's an example of what OCP runs at idle 52% more efficient than your standard OEM product So I think the takeaway is Be thinking about again How can I use open hardware in addition to my open software efforts if you want to take a look there's a marketplace? You can see all of the different types of OCP products that we have in our marketplace and More importantly, how do I get access to this? We have a company and based in France. They have multiple partners around here There's decommissioned OCP Hyperscale gear so instead of going out and buying brand new gear that may be costing quite a bit all of the hyper scaler's Decommissioned gear is available through a partner network here This partner here circle B is based in Netherlands They can hook you up can take a picture of that memo or drop me an email at stevedopencomputer.org and I'll be able to connect you or Go to next city in rapid space. They have instance-based OCP gear Which is live right now and that's it We have a summit coming up in October at the rye in Amsterdam where you'll see everything that you've ever wanted to see around OCP And that's it 25 seconds to go. Thanks again for the attention and the questions


This is Dave Vellante, Dave Chew of Edge, and here with my co-host, Stu Neumann. We're both at Wikibon.org. This is theCUBE's SiliconANGLE's continuous production, live at Edge. We had to call a little audible. Sometimes customers can't do live. They need, it's kind of an on-demand review by their PR departments before they can actually release the video. So that's just not how theCUBE rolls. So Eric Eiberg is here, and Eric, I'm very excited that he's here. He's formerly with TMS, now with IBM Flash Systems, came to IBM as part of the Texas memory systems acquisition. Eric is technical by background, but he's in a business development and a worldwide strategy role at IBM. Eric, I'm thrilled that you're able to be in theCUBE. Welcome. Yeah, thanks very much, Dave. Good to be here. So we've talked in the past. You guys briefed us when you were with TMS, and then we spent some time together at the announcement on April 11th at New York City. Big day for IBM and TMS. You saw the baby grow up, a teenager, and now it's coming into adulthood.   And since then, we've been steadily growing the team. We have our dedicated Flash sales and pre-sales organization. We've been steadily adding engineers. In terms of any real big announcements, obviously, there's nothing to report at this stage, but steady growth, lots of interesting things happening on the engineering side, and of course, we grow our collateral, we grow all the things which we need to effectively bring the product to the market. Now, one of the things that I learned, because I hosted a panel for Steve Mills that week, and one of the things I learned in talking to the customers both on the panel and at dinner the night before is many of them, not all of them, but some of them, and generally many of them, are putting the IBM Flash system product behind SVC. And you and I had a discussion about this, and somebody from IBM was kind enough to send me, I was on Twitter the other day, talking about, okay, I'm asking kind of like Colombo questions, and I'll ask you those questions. Doesn't that essentially put in a layer that is, provides, you know, puts an inject overhead into the system? And so they sent me some technical documentation, it was actually a red paper, not a red book. So I've been squinting through that, but let me just ask you directly. It's common that customers will leverage the SVC stack and put TMS behind that, and some of the customers that we talked to, like Kareem Abdullah, I believe, is one of them, puts tier one storage behind the SVC. But nonetheless, conceptually, you would think that adds a layer of overhead. Does it, why, or why not, and does it matter? So, of course, anything in the data path adds some degree of overhead, but the question is, what are the benefits, would you get out of that feature and functionality piece in the stack? And so, what we see is that the traditional enterprise storage customers, who want the snaps, who want the dedu, or I'm sorry, the compression, who want the replication, all of that, and they can't get it from the application layer, where we think, you know, lots of the tier one apps have it already in software somewhere else. But if they need that in the stack, then we'll deliver that with SVC. And then we'll do that without compromising the performance of the flash system in a significant way. Does it inject overhead? Yes. It's about 100 microseconds of additional latency in the base use case with SVC. But for that price of 100 microseconds, you get basically all the enterprise features of a tier one array. So you have the performance, or at least most of it, and then you have the feature functionality. That's a winning combination for many of our clients. Well, even better performance than the tier one array. Absolutely. You get the performance of the flash system, essentially, without compromising on the features. Which is, it's a question which we often have to ask, and that's why we've been very aggressive in developing bundled solutions that incorporate not only the sand volume controller technology, but also the flash system technology as an optimized tier one storage solution. Eric, I'm wondering if we can also talk, does that SVC also help with the scalability of the architecture? Because when we've been looking at kind of the flash solutions out there, obviously performance is the first thing that people talk about. Secondly is that feature set, which most of the solutions have been trying to catch up to what the traditional tier ones have. And then it's really how the scalability works. So how does SVC impact that? Can you walk us through a little bit how TMS scales? Sure. So the flash system box is designed to be basically a modular device that you would just deploy in increments of one unit. And then if you need capacity aggregation or if you need pooling, that's where things like sand volume controller come into play. And so SVC scales up to an eight node. You've got very large sets of compute resources available. That's where you would get that single shared namespace if necessary. Now I say if necessary because it turns out that many of the clients who are deploying this technology for the tactical type deployments where we're fixing a specific problem, you know, they don't need more than 20 terabytes of capacity. It's only for the large scale, more strategic type deployments where we're talking about this as a replacement for the tier one disk where we bring in things like SVC typically to get the enterprise features and functionalities that the storage team is used to dealing with as opposed to the application owner type sale when we're solving the tactical type problem. So we address within the flash system, we typically deliver all the scalability that the client's interested in, but if we do need to go further than a single flash system or a stack of independent flash systems, that's where SVC comes into play.  And you get the non-destructive capabilities to come with SVC as well. Stu, you have a follow-up because I want to come back. Yeah, just talking about how a flash system fits in with the rest of the stack, has a flash system been integrated at all or have you seen customers deploying it with any of the pure systems family, whether that be the flex system or one of the other parts of the family? I mean, with the flex system architecture, you can get a store-wise V7000 node there and that has the external virtualization capabilities. So that is a deployment scenario that we see in increasing numbers with flash system. So if we look at it, though, most of the flash system type devices are getting in these environments where there may not be much of an IBM footprint at all. And so if there happens to be SVC already there, it's obviously an easy fit. If the client needs the enterprise features and functionality, again, we'll bring in flash system plus SVC. And then if we can get that functionality from elsewhere in the app or that functionality isn't required, then we'll just bring in that little 1U flash system device and that turbocharges their existing infrastructure as well. So lots of different ways to deploy this technology. So I love these discussions with IBM because you guys do a great job with very transparent benchmarks. And you're honest, okay? So you tell us 100 microseconds overhead. Okay, so as a customer, you can say, all right, one of the trade-offs, just as you did, of that overhead. Great. I want to unpack that a little bit more. First of all, I want to talk about, you had mentioned another use case, which is when the application is providing the storage services. So I'm going to take an example, let's say, of Oracle. So you might have recovery services or other snapshot capabilities within Oracle. Or certainly Microsoft could do that, although sometimes IP-based replication scares some people. DB2 similarly can offer some of those capabilities. So in that instance, I basically drop in a TMS system, I'm relying on the application to provide those storage management capabilities, and then I gain 100 microseconds. Yeah. Yeah, so that's one very valid way of doing it. It's a very common way of doing it, especially for the clients who were with TMS prior to the acquisition. Although we did have some SVC certification even before we got acquired. But what we see there is that, especially for, let's say, Oracle, like you mentioned, a one-line change to an Oracle configuration file can get you to the point where you have the flash system as a copy of a device on your traditional storage array, and we call that a preferred read-and-read arrangement, where you're reading and writing to the flash system, but only writing to the traditional array. What that gives us is an instant speed-up on the reads, you're writing to cache so typically the writes aren't really the bottleneck anyway, and you've only added redundancy to the architecture. So by changing something at the application level very easily, you take advantage of many of the features of the flash system. So when you say you're writing to cache, you're writing to the persistent cache? To the disk array cache. So you'd be writing to both the flash system, which has its own internal persistence model, and your traditional array. So you still get all your BCV, all your other features and functionality for DR in your traditional array, but you've just got this extra copy on the flash system that we happen to be directing all the reads from. So the write is complete upon the write to the cache. We never want to get in a scenario where you lose part of your data because it's partially written. David Floyer is floating around here somewhere, but I know if he were here he would ask you, and I know you don't want to talk about specific competitors, and that's fair, but let's talk about, you know, sort of conceptually. This notion of using flash as read cache, and then you're writing to a traditional storage cache, which Floyer would say is not as advantageous as doing something to an all flash because of the overheads associated with destaging that cache and then getting a complete write because it's got to asynchronously trickle to the spinning disk. Can you talk about just competitively how you stack up to that type of scenario from a performance standpoint? So in many cases we would essentially be doing a deterministic version of what you just described in that preferred read-mere scenario where we're waiting on the consistency coming from the array. We're synchronously writing to both the flash system and the array. And so that gets us the benefits of caching, except now we know for a fact that all that data is going to be on the flash system, so it's all going to be fast. So that's one, it's not a technology that's specifically linked to the flash system. From a competitive position, we can use certain software to accomplish that caching with flash system just like we could with any other storage device. Okay, so now how do you compete with other all flash arrays that might have varying degrees of maturity in their stack? I mean, many of these are scale-out, so the shared nothing, immature stacks. Some of them, like, for instance, a violin or OEM in the stack or many parts of the stack for the Symantec. You know, actually look at extreme IOs and building out their own, but thinking about, and there are dozens of others, I'm just naming a few for the audience, but thinking about an all-flash array, which as many of the vendors you guys do, how do you guys stack up there, why do people choose you, and what do you emphasize with customers in terms of your name? Sure, so it all starts with the hardware, and I know we don't like to talk so much about the hardware architecture. As part of IBM, there's a lot of emphasis on the software as well, but what TMS did for over 30 years was design this purpose-built piece of hardware totally around performance, reliability, and efficiency. Those are the three key advantages that we bring to the table, and the reason we have them is because of that original hardware design. So that's something which there's only one competitor which comes close in terms of having the purpose-built hardware, which then you layer on the software.  And we have this great integration that happens between the two of them, so you get the hardware part, you get the software part, and it's all integrated together in nice packages, which we'll be discussing even more as time continues to pass. Okay, now you guys are using SLC, correct? Well, we have a choice between SLC or EMLC. And the focus is really on EMLC. Now it tends to be the most cost-effective approach for many enterprises.  And so EMLC has better value in those kinds of... Today you're not doing... A lot of competitors will focus on things like native deduplication and compression. You're not doing that today, so sometimes you get beat up on price, on cost from the competitors. How do you address that concern? So there are several different dimensions to that. First of all, with regards to the dedupe and compression, we do do compression. That's the IBM Real-Time Compression Engine, which is available with the sand volume controller. And V7000, exactly. So we get that checkbox, dedupe is something which we're addressing, and we've found that it's really of kind of limited use, except in some very specific instances like VDI. But we've found that we're able to create architectures using things like linked clones, which give you basically the same benefits, and you still take advantage of the raw performance of the flash system. So at any rate, that's one part of it. And with Real-Time Compression, of course you can get 5x compression ratios on the right data with that existing technology, so we do get that cost savings for many workloads. Very little performance compromise are arguably no performance compromise. But let's come back to the hardware though, because we have advantages in that we don't use SSDs, we don't rely on an OEM component, which has its own margin, to build our system around. We're buying flash chips directly from the vendors, integrating them onto our own modules. And so that gives us actual cost advantages, which can translate to price advantages for the same type of technology. Excellent. All right, so negotiate hard. Eric, that really... Do I not have time for one more question? So Eric, I was just wondering if you could share with us, what's the experience been with coming into IBM and how are the various flash solutions that IBM is putting together, working together? Give us a little insight there. Sure, so it's obviously been a great journey as we scale up from a 100 person company to a 438,000 person company. Got a few more faces to learn. The integration, it's been wonderful seeing IBM kind of come together as a team and rally around this technology. You probably saw that in the opening keynote. There's a lot of emphasis on flash in the entire stack as a transformational technology, and it's great watching these pieces kind of fall in place. So you're going to see a lot more in the areas of flash development, and it's not just going to be about the flash system box, it's going to be about flash in various solutions. So it's been very exciting. All right, Eric Eiberg, we're out of time. I really appreciate you coming by. You're a tech athlete and really thrilled that we can have you on the queue. So really appreciate you making time. And Karim Abdullah is up next. He's an IT practitioner with Sprint and looking forward to hear how he's applying technology to create a business capability. So keep it right there. This is the queue. Right back at this room.


In the world of trailers, we rely on technical innovations to help us, well, carry the weight. The latest one? Electronically controlled air suspension, or simply ECAS. ECAS is the next generation of air suspension. But what is it exactly? And why is it better than the old system? Well, easy. The conventional system uses a levelling valve to regulate the air suspension's bellows. Whenever the trailer's height dips too low, the levelling valve opens, allowing air pressure to enter the bellows. When the trailer reaches its riding height, the valve closes. If the trailer rises too high, the valve opens again to release pressure. Sure, the system works, but it's not only slow, you also constantly lose pressure when driving on uneven terrain. ECAS, on the other hand, works with an electronic height sensor that sends real-time data to the trailer modulator. This unit automatically calculates whether the pressure in the bellows needs to be regulated, which ensures a more efficient suspension. The modulator can also take into account other factors, such as the wheel speed and tipping sensors. Because this modulator operates fully electronically, the system works much faster when loading your trailer. With ECAS, you're sure of a safer, faster and more efficient suspension system.


Alright, let's break them down. Completion of first four years. A student has completed the first four years of post-second education if the institution at which the student is enrolled awards the student four years of academic credit at that institution. Of course work completed by the student before 2022. This student generally wouldn't be an eligible student for the purposes of the American Opportunity Credit. Now for some schools, it's going to be structured that's the way the school is traditionally structured in a college type of situation. Other schools might not be as formally structured in that kind of way but they're going to have to comply to some degree to that structure because that's how the whole educational kind of system is basically set up. So you want to be talking to the institution if there's like confusion on exactly what that means with regards to that particular institution. So exception, any academic credit awarded solely on the basis of the student's performance on proficiency examinations is disregarded in determining whether the student has completed four years of post-secondary education. So you could have some situations where they basically just based on their academics have basically cleared a year or something like that and you would think then that might limit their ability to take the credit versus other people because they're excelling and that shouldn't shouldn't be a detriment to be excelling you would think. So you have an exception there the general idea but I think most people most likely are in a situation where it might take them you know longer because they're they're working part-time or something like that but in any case enrolled at least half-time so what does it mean to be enrolled at least half-time? So a student was enrolled at least half-time if the student was taking at least half the normal full-time workload for his or her course of study. Now what does that mean? It is once again defined by the institution generally in terms of what it means to be a full-time and half-time so so you can have to talk to the institution oftentimes the education the college or whatever to to make sure you're in compliance with that. The students the standard for what is half of the normal full-time workload is determined by each eligible educational institution however the standard may not be lower than any of those established by the U.S. Department of Education under Higher Education Act of 1965 example. So Mack graduated from high school in June 2021 in September. Mack enrolled in an undergraduate degree program at College U and attended full-time for both the 2021 fall and 2022 spring semesters. For the 2022 fall semester Mack was enrolled less than half-time because Mack was enrolled in an undergraduate degree program on at least a half-time basis for at least one academic period that began in 2021 and at least one academic period that began in 2022. Mack is an eligible student for tax years 2021 and 2022 including the 2022 fall semester when Mack enrolled at at College U on less than a half-time basis. All right example number two after taking classes at College V a part-time basis for a few years Shelly became a full-time student for the 2022 spring semester. College V classified Shelly as a second semester senior fourth year for the 2022 spring semester and as a first-year semester graduate student fifth year for now graduate students so after the fourth year of the traditional four-year frame according to the school now fifth year for 2022 fall semester. So because College V didn't classify Shelly as having completed the first four years of post-secondary education as of the beginning of 2022 Shelly is an eligible student for tax year 2022 therefore the qualified education expenses paid for the 2022 spring semester education for the semester and the 2022 fall semester are taken into account in figuring the American opportunity for 2022. Example three during the 2021 fall semester Larry was a high school student who took classes on a half-time basis at College X. Larry wasn't enrolled as part of a degree program at College X because College X only admits students to a degree program if they have a high school diploma or equivalent. So because Larry wasn't enrolled in a degree program at College X during 2021 Larry wasn't an eligible student for the tax year so in other words he's taken a class possibly just to to take the class but it's not going towards a degree or something like that is I believe the general idea. So example number four the facts are the same as in example three during 2022 spring semester Larry again attended College X but not as a part part of a degree program. Larry graduated from high school out in June 2022 so for the 2022 fall semester Larry enrolled as a full-time student in College X as part of a degree program and College X awarded Larry credit for the prior coursework at College X because Larry was enrolled in a degree program at College X for the 2022 fall term on at least a half-time basis Larry is an eligible student for all tax year 2022 therefore the qualified education expenses paid for classes taken at College X during both the 2022 spring semester during which Larry wasn't enrolled in a degree program and the 2022 fall semester are taken into account in figuring any American opportunity credit. Example five D graduated from high school in June 2021 in January 2022 D enrolled in a one-year post-secondary certificate program on a full-time basis to obtain certificate as a travel agent so D completed the program in December 2022 and was awarded a certificate in January 2023 D enrolled in a one-year post-secondary certificate program on a full-time basis to attain a certificate as a computer programmer so D is an eligible student for both tax years 2022 and 2023 because the degree requirement uh the work the workload requirement and the year of study requirement for those years have been met. Alright let's take a look at a flow chart those are always great here who is an eligible student for the American opportunity credit so we got our little questionnaire flow chart that you can picture in your mind when these questions come up so first did the student complete the first four years of post-secondary education before beginning uh before the beginning of the tax year this is for the American opportunity credit not the lifetime learning credit which if you don't qualify for this one you might be able to default to that one so if the question is no we move on if yes the student isn't an eligible student here but maybe lifetime learning credit so we're gonna say no next one was the American opportunity credit claimed in at least four prior years for this student so did they claim it for that particular student I don't care where you claimed it was it claimed on your parents return on their return or whatever but it was tied to that particular student if the answer is yes then no for the American opportunity but possibly lifetime learning if the answer is no we move on was the student enrolled at least half time in a program leading to a degree certificate or other recognized educational credential for at least one academic period beginning in 2022 or the first three months of 2023 if the qualified expenses were paid in 2022 so then if yes to that one we finally go to the last item is the student free of any federal or state felony convictions for possessing or distributing a controlled substance as of the end of tax year 2000 of the tax year we don't want you guys on the college campuses you mess up all the college you're trying to learn over here you guys are over here selling drugs and then taking tax credits for it's ridiculous so you have to pass that you can't do that can't be on that one so then so so if you say yes is is the student free are you free of any felony conditions if the answer is yes the student is an eligible student and then you can move from there to calculate the credit which we'll talk about in future presentations


What's going on everyone Sam here late in sports cards? We are doing 2022 puny origins football hobby Eight box half case break number 20 Pick your team style gonna read off our list of names and teams Andrew P with the bills and V bucks and Panthers Good luck here and Anthony M with the Eagles Brian C Chargers Brian F Colts Brian S football team at Steelers Gary A with the Texans Glurcio C With the Dolphins Glenn W. Chiefs Jason B. Niners John F Vikings John P Giants Josh L Jets Joven H. Packers Levi S. Lyons Matthew C. Bangles Nicholas S Falcons Robert M. Bears Sam L Cowboys Saints Scott F. Seahawks Simon H. Cardinals Patriots Titans Tony K Ravens Broncos Vaughn B with the Jags William K Browns Raiders and Rams. What up Bill Screech Steve Screech specialty combo spot. Absolutely only for you, son Let's go and good luck See what we got I Appreciate that. Can I try to make it exciting man station in Poland? That's awesome. It's awesome. Yeah, it's a thank-in-first service Yeah, quarter old Patterson to 99 and AJ Brown to 299 Sean Watson George Pickens variation rookie got a John Datsun 24 out of 99. That's going to the commanders Got seven out of 49 Go into the Browns that's gonna be David Bell nice one there for the brownies and a redemption What are we doing over here, man? What are we doing over there? Rookie jumbo Jersey Auto our number 182 at Kyle Hamilton. There we go Ravens. Congrats on that Tony Tony K the man Minnesota's finest Tony K It's bringing down the whole All I know is I looked over there and there was a pile of penny sleeves all over the place Yeah, I Got my own over here pal You gave me the sharpen Do it guys see what we got see what we got T Higgins to 299 bangles Iced out Kirk 11 out of 75 going to the Vikings Riddens Kyle Hamilton, right? Yeah, that's gonna be a Keenan Allen Mitchell Chavisky rookie Jersey Breece Hall 40 out of 199 Kirk Thuggins Nice one there Jets We've got Romeo Dobbs. That's going to the Packers Grats Packers and then a Hassan Haskins rookie Jersey Auto going to the Titans There you go, Tennessee CD Lam To 199 to the Cobblers Gabriel Davis to 299 bills I'm out there now to up and mark Andrews Yeah, I know we've got Drake London 34 37 out of 75 for the Falcons to color patch Variation auto at Pierre Strong, Jr. 57 out of 99 John Dotson going to the Commanders rookie Jersey Auto that is not numbered Congrats on that Washington box for Yeah, Justin Jefferson is always fun to pull. He's so exciting to such a great player Thick in there. James Winston to 299 Saints Deandre Hopkins to 75 cardinals Dak Prescott and an Aaron Jones, we've got Chris Olavé 30 out of 199 that's going to the Saints 58 out of 99 John Metschie of the third Going to the Texans and then we've got going to the Commanders one out of ten. Johan Dotson Nice hit on the J. Dot That is gonna be Brian S Okay, Derrick Stingley. I'll never live that one down either. I don't think you were there for that I called John Metschie the third Derrick Stingley. I know Not even slightly Shane that is Jersey numbered as well Congrats again Brian S with the Commanders John Dotson And like Lane was in chat and he goes, oh, they must be calling John Metschie by a different name now since laughing at me. Oh Then there was a time I messed up Kellan Mon and Kenan Wang Wu like I split them and then and then I What's it called? Then I sit sin was sin was laughing at me on that one again, too And then I said the right then I said Kellan Mon the right way and he goes congrats Sam. I'm saying the right name Keryl Patterson to 99 Falcons. What's up KJ Jalen Hertz to 299 Eagles Non-numbered Kenny Galladay. Oh jeez DeAndre Hopkins, Breece Hall rookie Johan Dotson to 199 three-color patch Gotta get you something John Right here. We've got a Bailey zappy eat out of 25. Wow Congrats on that Patriots He's got New England in this one Simon H. Congrats Simon Probably Magnus because it's low numbered We got our redemption rookie jumbo patch autographs red our number 165 Traylon Burks That is going to the Titans Congrats Tennessee going to the Titans We got our book in here time to do some reading Ready to read? No Derek Henry to 299 Devonta Smith to 199 49 I want to say let me take a look really quick I'm actually kind of interested in that too. My guess is 49, but I could be wrong at 99 It's too off Adam feeling oh This is cool going to Levi how about an Amon Ra St. Brown six out of ten on the gold proven ground auto congrats on the Amon Ra There you go. Let me just double-check make sure that's Levi Levi congrats buddy. That's sweet.  I've been Austin 20 out of 99 on the three-colored RPI Jesus seems killing it man Boom back to Brian s with the commanders Sam howl jahad dotson on the dual To color to color. That's nasty Both on card as well howl and jade up Love it man Congrats on that That is number 12 out of 49. Yeah, commanders are feasting right now That ever got there Which one that one yeah Both on card without the both the zeros. Yeah Now you're good and Tony O Gibson to 199 commanders TJ Ockensons to 99 go to the Lions Patrick Mahomes and A Davante price for the Colts. We've got a Jameson Williams 117 out of 199 go into the Lions again Variations gonna be Trey McBride 21 out of 99.  Yeah, we're watching it right now. I actually bond That's crazy All right last box. Good luck everybody Any more kings prime time there 500 basketball team right now to 199 Daniel Jones And 299 courtland Sutton Travis Kelsey George Kittle, uh nice one here. We got Traymon Walker Uh 65 out of 99 2 called her patch.  We got going to Seattle to 49 on the silver ink. That's gonna be Kenneth Walker nice one there Congrats Seahawks And to finish it off we've got going to the Jets breeze hall rookie jersey auto not numbered Congrats Jets That'll do it for the break guys. Let me do a quick recap Traymon Walker Jags Uh jameson williams lions vealish jones bears jahan dotson for the commanders And that's true true my eyes. I apologize on that one and two I was rooting so hard for a mac carral panthers card Chris Olava saints drake london falcons breeze hall jets jahan dotson commanders I kid you not when we went like when the video started and the intro went in I literally looked at shawn and I go. I've never wanted to pull a mac carral card more than right now breeze hall go to the Jets Kenneth Walker seahawks Sam Howell commanders Tray mcbride cardinals calvin austin steelers obon raw saint brown for the um lions Traylon berks titans goal to 10 jahan dotson commanders john mechie texans jahan dotson commanders pier strong jr patriots Hassan haskens titans romeo dobs for the packers kyle hamilton ravens david bell browns That is uh jahan dotson and sam howell somebody in youtube chat there dog and um we've got eight out of 25 bailey zappy on the on-card auto That will do it for the break. Thank you guys again next up. We've got I believe our mixer