The plane scandal between Azerbaijan and Iran is growing. An Iranian military plane did not cross the border with Azerbaijan and therefore considers it wrong to summon the Iranian ambassador to the Azerbaijani foreign ministry for explanations. Iranian foreign ministry spokesman Nasser Kanani said this at a briefing, the flight was normal. Such flights are carried out periodically as part of surveillance of Iran's border areas and on Iranian territory. Such flights have been carried out before. Kanani was quoted as saying by FAR's news agency, we have defence relations with Azerbaijan. Our embassy is active. Our military attache works there. You could have addressed the issue to the Iranian embassy and our military attache. An exchange of views could have taken place and the misunderstanding could have been resolved. We cannot consider the Azerbaijani government's summoning of the ambassador as a well-intentioned action. Kanani said it is to remind that on March the 11th in the morning for 40 minutes, an Iranian military plane flew along the Azerbaijani state border and in some places violated the border. Baku considered the flight as a provocation, demanding an explanation from Tehran. It was noted that the military aircraft of the Islamic Republic of Iran, so close to the state border between the two countries and flying over the border line, poses a threat to the safety of civil aviation and serves to further strain the relations between the two countries.


Maternal health is an indicator of the well-being of our future generation. Child under nutrition imposes the greatest nutrition-related health burden at global level. 161 million children are stunted due to chronic malnutrition. 99 million children are underweight. 45 percent of child deaths are caused by child and maternal malnutrition. Sustainable development goal 3 aims to reduce maternal mortality as well as under five deaths by 2030. Both these goals are intricately linked. The state of health of an adolescent girl influences her nutritional status during pregnancy and lactation. This reflects upon the infant's health which has some role in the health of the child as he or she grows into an adult. So what happens when maternal health goes down? A vicious cycle of ill health ensues. Pregnancy-related complications like obstructed labor, antipartum and postpartum health hemorrhage, low birth weight babies and increased maternal and fetal mortality are among the outcomes. A low birth weight baby is more likely to suffer from infections which results in poor health leading to a greater susceptibility to infections and so the cycle continues resulting in a malnourished individual. As a part of a global village we must remember that one can't thrive while the other suffers. What can be done? First, community education on nutritious diet and child feeding. Second, integration of nutrition education into small holder farming. Third, women empowerment. And proper prenatal care, promotion of breast feeding and family planning.


Our hands say a lot about who we are, how we live, where we've been, our ages, and our cultural identities. Taiwan is a trusted partner to many nations, a thriving democracy that celebrates freedom of speech and equality for all people. Whether you know it or not, your life has been touched by Taiwan's helping hand. When the world needed protection, Taiwan gave out over 50 million face masks to more than 80 countries. When disaster strikes, Taiwan does what it can to help those in need. When other nations are bullied, the Taiwanese people rally together in support. Taiwan is also a significant player in the global economy, leading the e-bike revolution and producing a majority of the world's most advanced microchips. Taiwan's International Cooperation and Development Fund is working to improve the health, education, and agriculture in dozens of countries. Taiwan is working on protecting our planet and is committed to net-zero emissions by 2050. By implementing the United Nations Sustainable Development Goals, Taiwan contributes meaningfully to different UN agencies' work. The international community is better off with Taiwan's helping hand.


Ladies and gentlemen, what a pleasure it is to be with you to open this Cybers 2022. Our theme progressive finance for a changing world could not be more timely. The rise of inclusive finance is a genuine good news story at a moment of great challenges. Over the last decade, a quarter of the world's adult population has gained access to financial services. Fully 76% of adults are now in some way included. This is a remarkable achievement which has unlocked new opportunities for millions of people previously left behind. Investments in critical digital public infrastructure such as greater connectivity and digital IDs have laid the foundation for this amazing growth. And the rise of digital payments has driven a massive increase in account ownership. In the last four years, almost 40% of adults in developing economies opened the fast account to receive a wage or a government payment.  This in turn has enabled financial service providers, especially new fintech players, to innovate in the design and delivery of new products and services. The rapid growth in mobile phone news and new customer data trails offer exciting new ways to deliver financial products by leveraging big data and AI, especially in emerging markets. Yet, we should not seek innovation for innovation's sake. With each new technology such as central bank digital currencies, for example, we must always ask what problems are we trying to solve? And what future are we envisioning to stand the best chance at achieving long-term success? How do we provide more value beyond what existing platforms can already deliver? Well, the first priority is to make sure we do no harm. Ensuring key digital public goods are in place, like cybersecurity, consumer protection, data governance, and digital literacy can help marginalised communities navigate financial services more safely and in ways that really work for them. Fair competition and interoperable payment systems can help markets work better for even the smaller-scale customers. But that is only a first step. We have a chance today to move beyond doing no harm to actually doing good. So beyond transaction volume and custom acquisition, can we create the rails for transformative change to help users become more financially healthy? Just as we should not innovate for innovation's sake, we should not design products simply to maximise short-term results. Rather, it is important to see how much value we can generate in the long run. Value for customers that in turn translates into value for firms. For example, one Australian bank invested in measuring financial wellbeing of their customers to understand their behaviours and to develop products that could help them become more financially healthy. This resulted in a gold tracker programme that helped 20 per cent of their non-saviors to start saving regularly. How can we do more of this? How can we help people to better manage their day-to-day finances, to get access to credit, to plan and meet future goals, and at a time of multiple crises to build resilience and ensure themselves against shocks? To do so makes real good business sense. Financially healthy customers are better customers, and those who provide these services can differentiate themselves from other providers. But for the moment, that is not what is happening. Today, despite growth in account ownership, only 55 per cent of adults in developing economies can access emergency money within 30 days, 55 per cent. And almost half of respondents in a recent survey, including those from OECD countries, therefore rich countries, agreed with a statement, I have no money left at the end of the month. In some places, we have seen both an increase in access to finance and, simultaneously, a decrease in financial health. So please, let us identify the best solutions to these challenges and really bring them to scale. One approach is to encourage private-private partnerships that provide services across entire value chains. In Côte d'Ivoire, for example, I saw an excellent partnership between an agri-tech platform, we agree, and a company that processes and distributes cashew nuts and a financial sector provider. Together, they were able to combine financial services, market access, business training and extensional services to help women across Côte d'Ivoire's cashew nut sector. This partnership has benefited everyone across the value chain and it has increased efficiency, transparency and productivity supporting local economic development. Collaboration across industry and government is also key to creating inclusive digital public infrastructure that really enables services beyond finance. Think about health, think about education. These are the building blocks of sustainable development. If we get this right, digital innovation holds tremendous promise for financial inclusion and financial health. So let us please envision that better future, share our experiences and use this conference, ladies and gentlemen, to build a secure, trusted and efficient digital economy that really works for all. I really trust that you will actually take it to the next level and you can make a difference in your own countries. Thank you so much.


Oh, cool. I guess I'm giving a talk. OK, rocking. Ooh, I can hear myself. Fancy. Cool. So I am here to talk about the Tower of Babel or Babel. I'm American, so I can't pronounce words. Actually, I'm Canadian living in America, so I extra can't pronounce words. And this is about making Apache Spark, Apache Mahoot, Kubeflow, Kubernetes, and a few extra friends all playing nice together. And now every time I hear Tower of Babel or Babel, I think of the book Snow Crash. Has anyone here read the book Snow Crash? OK, so the three of you are going to love the references that I'm going to make. For the rest of you, just pretend that I am hilarious. And that pizza is somehow related to machine learning. Also, you should consider reading Snow Crash. It's an excellent book with some weird bits in it. And it makes me very hungry for pizza. So here's a picture of some pizza. So you can be hungry, too. OK, so in addition to not being very good at pronouncing words, my name is Holden. My pronouns are sheer, her. It's tattooed on my wrist, which is really convenient in the mornings when I'm just like, what, where am I? Who am I? And I'm on the Apache Spark PMC. What that means is I'm like a committer, but I'm really, really hard to get rid of. Unfortunately, it's not like tenure in the same way as it guarantees that I get money. I can still get fired. And in fact, I checked my email right before this talk to make sure I wasn't part of that 2%. Good news. And I contribute to a lot of other projects, besides just Spark. Previously, I've worked at a whole bunch of other places. I haven't yet quite sort of caught all of the Pokemon in the traditional bingo card that you get in San Francisco. But I'm confident that before I eventually get hit by a car and die, I will succeed at this. My co-author of a few books, including one that is actually related to this talk. And you should definitely buy several copies of each book. They make an excellent gift for whatever the next holiday is. And this is Europe's, you have tons of holidays. So you should definitely buy tons of these books. You should also follow me on Twitter. And if you like questionable code, you should check out my GitHub. As you can tell by the jokes that I'm making, I may not represent the views of my employer, although they definitely do pay other people to make very interesting jokes. And I'm realizing I should stop talking. We are hiring still. And if you're interested, please reach out, although it's mostly in North America. So if you like paying for health insurance with a credit card, come and talk to me. No? OK. Worth a shot. OK. So in addition to who I am professionally, I'm trans, queer, Canadian in America on a green card and part of the broader leather community. And this is not particularly related. There is no secret Canadian out-of-memory exception debugger ring that they give us. I think it's useful for us to all talk about where we're from so that if we realize that we're all surrounded by folks with very similar backgrounds, we try and get some other people in the room. And it's also actually part of why I come to Europe. It's not just because I enjoy beaches. It's because I like meeting people from different backgrounds than myself. My co-author is not present. Trevor is a wonderful person. He is based in Chicago. He has a new kid. He's very exciting. Everyone send happy, warm vibes and maybe getting to sleep sometime this year, energy towards Trevor. He is the PMC chair of Mahoot, which means it is even more difficult to get rid of him. Once again, does not come with any guarantees of money. Just really difficult to get rid of. And he's an ASF member. Right now, he's mostly looking after his kid. But he is also trying to import electric tricycles into America. And if anyone happens to be interested in that, which is a pretty long shot, definitely reach out to Trevor. His email is at the end of the talk. And that's probably a great reason to go and visit Chicago, which is not as nice as here, but does have water. OK, cool. So what are we going to talk about? So we're going to start with our adventure, slash case study, but I thought adventure sounded cooler. So Act 1 is going to be getting to know the characters and the problem that we're trying to solve. Then we're going to talk about the problem in a little bit more depth. And then we're going to talk about how we solve the problem. And then I should use air quotes when I say solve. Solved, except by the time we solved it, the solution wasn't useful anymore. But that's OK because we did a bunch of cool things along the way. And so that's going to be the epilogue. And we'll talk about the cool things that we can learn from our exciting adventure. OK, who are our friends besides on Twitter? So, OK, Kubernetes, my second favorite friend. Kubeflow, who is the main character. And for the three of you in the room who read Snowcrash, hero protagonist. For the rest of you, that was a hilarious joke. I don't know why those three people aren't laughing, but maybe they're European. And Apache Spark, who is my favorite. But in kind of the way that your kid is your favorite, even if they're like maybe not so good at everything, you still like really hope that they're going to succeed this time. That's sort of how I feel about Spark. And Apache Mahoot, which is not my kid. And therefore, I care a little bit less about, sorry, Trevor. Apache Mahoot is very much Trevor's kid and much more important. OK, so I'm going to assume that this is KubeCon. We're several hours into it. You probably know what Kubernetes is. So we'll sort of skip past that. If you're new to the Kube community, that's awesome. I'm super stoked you're here. And that's really cool, but we're not going to explain Kubernetes. In the context of what we need it for in this sort of machine learning thing, how many people have had to work, sorry, have had the opportunity to work with data scientists? OK, cool. How many of you have gotten something like untitled underscore x.ipython notebook from data scientists? That is almost the same number of hands. OK, and how many of you had that run successfully without needing to install any dependencies? That is no one. Great, OK. And so that is why we are using Kubernetes. Also, because running on one computer is slow and also Kubernetes is cool and we like money. So Kubeflow is if someone was like, yo, what about if we put all this machine learning stuff on Kubernetes? So it's got this Kube and flow. We're going to make pipelines. It's going to be really cool. Everything is definitely going to work. And you should definitely buy my book about how it works. And we need it because putting together all of these different tools kind of sucks. No one really wants to be sitting around waiting for a job to finish, to go and kick off another job, to go and kick off another job. No one really wants to have to think about how they're going to get their data from one tool into another. We just want some magical tool to take care of it and Kubeflow promises to do that for us. We'll find out later that we did have to trade much of our happiness for that. But that's OK. I trade my happiness for money quite frequently. The other reason why we need it is because reproducible research. And grad students hate reproducible research almost as much as Grumpy Cat. And Kubeflow is this wonderful opportunity to make it so that we incidentally get reproducible research out of things. If we build them in Kubeflow, we can get these nice pipelines, and we can run them again in the future. Once the grad student graduates, once our coworker wins the lottery, once their shares finish vesting, there are some other jokes here, but we'll move on. Yeah, yeah, yeah. OK, cool. So Spark. How many people are not familiar with Apache Spark? Four people. You should buy my books. But for you four people, I'm so stoked that you're here. Yeah, OK. So Spark is a really cool data processing tool, and it definitely works 100% of the time. It works 80% of the time. And so it allows us to do distributed data processing so we can handle data sets that are too big to fit in an Excel spreadsheet. So if you find yourself trying to open something in Excel, and Excel is like, hey, I can't open files from HDFS, that is Apache Spark. We're going to make it better. OK, yeah, and we need it because it turns out that CT scan images are kind of big and don't fit very nicely in an Excel spreadsheet. And to be honest, they don't fit really nicely in a computer.  On the flip side, Spark does a really bad job of handling fits on a floppy disk. So if you have data that fits on a floppy disk, Spark is probably not for you. But you should still buy my book. OK, Apache Mahout. Oh, wait, yeah, yeah, we've got the yes. New logo. Woo. Don't worry, none of the code has been improved. But the new branding is glorious, glorious, glorious. No, and I joke. I joke actually much of the code has been improved. Apache Mahout was originally created for MapReduce, kicking it old school. And then Spark came along and people were like, whoa, MapReduce isn't cool anymore. Let's use Spark. Very happy about that decision, y'all. And so Mahout was like, oh, OK, we should rewrite to Spark. That took several years because people are lazy. And I'm including myself in this. I'm lazy too. And then they got a new logo so that you could know that it was new and fancy and ran with the new fancy thing that was about five years old. OK. So the other thing about Apache Mahout is Apache Mahout is a tiny, tiny little project that refuses to die, largely because of Trevor. Trevor is amazing. And if you have ever said to yourself, you know what, I want to get involved in an open source project, but there's just way too many people in all of these projects. It's going to be so confusing. I will not know who to talk to. You should get involved in Apache Mahout because you can just email Trevor. He is always the guy to talk to, 100% of the time. I'm joking. There is actually a mailing list, but you can also just email Trevor. It's pretty fast. Sorry, Trevor. OK. Cool. So why do we need it? So we need it because math is hard, and the people that wrote Spark, including myself, are kind of lazy. And we made some machine learning tools, but then part of the way along the way, we found out that people were giving us money anyways. And so maybe someone else could make the machine learning tools. So we kind of stopped making them. And so that's why we need Mahout because we want to do some fancy machine learning type things and some fancy math on top of Spark. OK. And S3 buckets. How many people here are new to S3 buckets? I'm so sorry. Slash congratulations. These are bad. But it's OK. They beat the alternative of doing it ourselves. So we can store data in them. And sometimes we can even read the same data that we stored from it. Not to guarantee certain terms and conditions do apply, not valid in US East 1. Yes. OK. At least someone likes my cloud jokes. So yeah, they're usually not the most performant. But the alternative is standing up my own HDFS cluster. And if you've ever stood up your own HDFS cluster, you, too, will be very happy to use Amazon S3. OK. So what is the problem that we're going to solve? We're going to solve the problem, which is why we're all wearing masks. To be clear, we don't solve it. We all still have to wear our masks, except for me, because I'm talking. But so the big problem in the early days of COVID was we didn't really have a fast way to detect if someone had COVID. And so we wanted to do COVID screening.  I have a problem. Let's add computers. And then we had two problems. So let's see if we can solve the problems we created for ourselves. The answer is sort of. OK. So we needed rapid testing. So we're going to go back to March 2020, when you could not walk into a Walgreens.  You don't have Walgreens here. Boots. The thing with the green plus sign? Pharmacia. You could not walk into the pharmacy and buy a COVID test. So back in March 2020, life was sad. Life was very sad here. Yes. Life was very sad in America. And we couldn't really figure out who had COVID, and it took way too long. So oh, yeah. And the new rapid tests that we got were about 60% accurate. Oh, yeah. Slightly better than my average in my non-major subjects. Shout out to Google for not checking my GPA. Or Netflix, too. OK, yeah. And so really cool.  Ultrasounds were pretty cool. The CT scans showed a lot of promise. Now, admittedly, the people who said that the CT scans showed a lot of promise were the people who did CT scans. So possibly some bias in the same way that I might tell you Apache Spark is really cool and you should buy my books. So yeah, best diagnostic tool according to the person selling you the diagnostic tool. So that's great. There were some slight problems with that. One of them is cancer.  And this is radiation. And so to detect COVID in someone, initially you needed to do a full body, like fairly high dose CT scan. And that's not great, especially if you might be doing it multiple times on people. I don't know how many people here have taken more than one COVID test. Certainly I have a lot more. So that was definitely like, well, OK, we should see if we can make something that isn't going to turn the population into little radioactive people. So instead, we could use low-dose CT scans. And the plan was, more or less, what we're going to do is we're going to go like CSI Miami, which I really hope you have, and we're going to say Enhance. And we're going to turn this into something that tells us what's going on. And so in comparison, much less radiation, much less chance of cancer, yay. Only problem, we needed science fiction technology. OK, the good thing is, it turns out that some people who were way less lazy than us came up with some ideas to denoise images a long time ago. It turns out, though, that it's kind of hard, and denoising them involves about 500 gigabytes of RAM. If we wanted to denoise full body CT scans, and it turns out that my credit card has what would be described as a low limit, so that's not happening. And we should figure out some way to do this without using 500 gigabytes of RAM every time we want to denoise an image. So we figured, OK, you know what? I've got a problem. We'll apply machine learning to it. It'll give us magic technology from the future. Everything's great, and we'll run it on Kubernetes. So that'll be cool, too. OK, intermission. OK, no one likes my intermission music. OK, so we, yeah, wait, oh no. OK, there we go, yes. So we really needed some way to do detection of if people had COVID. The best idea that we had was admittedly from someone selling CT scans, but it seemed like a really good idea. And in fact, there were a whole bunch of people who did collect data on what the scans of people with COVID looked like. Now, to be clear, we were not like, hey, we'll make a model that's going to tell you if you have COVID or not. There are a bunch of people who tried to do that, and it turns out they did a really good job of detecting if someone was lying down when they were having a CT scan because they were much more likely to be lying down in a certain position if they were really sick. And so, yeah, correlation and causation, not the same. But OK, cool, cool. We've got a data set. We've narrowed our scope of problems, so we're just going to use machine learning to make the images look better, and then we're going to give it to a human so it's not our fault if a bunch of people don't do so well. One of my goals in life is to not be directly responsible for someone's death. Right, OK, cool. So why did we use free and open source software? For one thing, I'm cheap. For another thing, I like using open source. And for another thing, at the time, things were not looking great for people who had low limit credit cards, and especially for countries who had low limit credit cards. And the nice thing about free and open source software is like, yeah, it's free. Admittedly, it's only free if you value your time at about $0, but conveniently, that's what I value my time at, as does Trevor. Unless my employer is listening, in which case, please continue to pay me money. My time is worth whatever you pay me, plus 10%. OK, cool. So we had an idea. We were going to make a pipeline. It was totally going to work. Everything was great. And because we were also admittedly working on a book at the same time, we were like, you know what would be really cool if we did this with Kubeflow because Kubeflow could totally solve this problem for us.  And then everything would be great. And then we could denoise our image. And then, in theory, a human could look at it and say, like, yeah, this person looks cool. They just have a cold. Or like, e, this person should not go outside right now. And they get to go into the special room. Cool. So first step, we loaded our data. And so the wonderful thing about being lazy is that you search on PyPy before you write code. And so the images were all in a format that we couldn't just directly load into Kubeflow. Great news. Someone had already written a library for it because it was in Python. We could just really easily whip up a Python script, make that the first step of our pipeline. And it took the images and dumped them to a PVC. Now, this did have some slight implications for scaling in that, no. Because we had read write once PVCs. So we were only able to run one instance at a time. But the good news is that the data set at this stage had not yet become the like, holding this very sad stage. So it was OK that this was not happening in parallel. And it was only happening on one node. The next stage is the one where, if we weren't doing it in parallel, life would be sad. So we read them in from disk into an RDD. It is kind of annoying to do this in Spark, something that we should be doing better, because it's reading from a local disk into a distributed disk. One of the things that I really wish was easier was if we could have read write once into read many conversions for PVCs in a happier way, but that's a long story and not particularly really related. And then the DRM thing is not the thing where they didn't want you to listen to music in the 90s or early 2000s. It's some Mahoot thing. I think the M stands for Mahoot. Might stand for Matrice. I don't know. This was the like, sciency part. So Trevor did the math part. And then it came time to do our fancy math. OK, so SVD is, yeah, that's hard. And let's see how many minutes I have left. Yeah, not that many, because I don't have four months. So we're not going to go into the details of how we perform an SVD, but suffice it to say, Mahoot on Spark can do happy SVD. And it's very nice. It does not need 500 gigabytes of RAM on one computer. Everything is great. No rusty spoons required. And if you're interested in actually learning what's going on here, there is a link at the bottom. And these slides are actually also on the schedule link. So you can go to the schedule link, and then you can click on these links so you don't have to write it down or take pictures. Of course, feel free to take pictures, because Boo is fabulous. Oh, yeah, Boo is my dog. OK, so one of the things that happens, though, sometimes when we do things is we're like, you know what we should do? We should see if it worked. And that's always a mistake. That's the first step to sadness. And yeah, so yeah, it was sad. Or more specifically, one of the things that we realized is, well, yeah, we could just run this iteratively like a whole lot. We would eventually go from kind of OK image to slightly better image all the way back to kind of crappy image. And so humans need to do things, and we can't just give the magic computer box the magic button and everything gets better, in part because we don't have a good enough fitness definition of what a good image is. That's kind of humans. OK, cool. So we did have this pipeline. It cleaned up a bunch of images. What happened? Or what came out of doing all of this stuff? So before these results were published, the world changed. And for the better to be clear, right? Like, if we were all getting CT scans before getting on an airplane, that would kind of suck. Tests got cheap, a lot cheaper than the cost of doing CT scans, and they got more accurate than 60%. So pretty solid. So just like a real software project, in the time that we finished, it was no longer useful. But there were a bunch of really neat things that sort of came out along the way. One of them is there was this idea in the early 2000s that we could do this like futurey sciencey thing, and we could clean up these images. There was a published paper, not enough code to actually really just go and run it. But we were actually able to recreate it, and that's kind of cool. And reproducible science is like, yay, it's happy. Grumpy Cat and grad students might disagree, but that's OK because Grumpy Cat is not the principal investigator. Right, OK. We also, along the way, discovered that running Spark on Kubernetes is a lot of fun, which is part of how I have a job. So one of the things that we discovered is that we didn't have a shuffle service on Kube. And so we worked on some alternatives, and I changed jobs in between. And the first alternative that we came up with was this kind of janky decommissioning thing where we copied files around. Then one of my co-workers came up with another even smarter thing where we would copy files around, and then if things went to hell, we'd copy them into an object store, and we could still scale to zero, or not quite zero. We could scale to one because there was certain information that we couldn't manage to get out of the JVM. Oh yeah, we used Java. I'm sorry. Other exciting things that were admittedly unrelated, but were pain points that we experienced that have been improved, is pod allocation for our scale down is kind of flaky and scale up. So we're scaling down and back up and down and back up. And this happens a lot when we're doing things like switching from ETL to the machine learning phase. Really excited that Volcano and Unicorn support is now in Spark. I think it's being voted on right now, although it did just get a minus one during the previous talk. So no hard commitment on when it's going to be available. But if you like building from source, oh yeah, you can play with it. And then video folks did some wonderful things with making it so that the training and ETL stages can use different types of resources. Instead of just having a different number of machines, Spark can actually take advantage of the fact that Kubernetes can allocate pods on different machines with different kinds of resources. The other one is that we got an example for our book, which once again, you should all buy. And one of my co-authors is actually here in the road, if you want to. Yeah, so you should buy it so that we can each afford more coffee. And you should buy several, several copies. But yeah, there's the example on GitHub. You can check it out. And it's a full pipeline. It's not just like an iPython notebook and a note that says, good luck, have fun. Great, you should buy these books. They are great for the holidays and make an excellent gift. There is also the article that came out of it. I get no money from the article. Do not care if you read it. The book, though, yeah, that's where the money is. OK, cool. So what could we have done better? If I had a time machine, or if I was solving this problem again today, let's hope we don't have another pandemic, what could we do better? So Kubeflow makes using all of these different tools possible. And that's kind of cool. We have all of the different tools stitched together. And it's really cool. The only problem is it's also kind of slow. We end up writing data out to disk, or S3, respectively, between each of these tools. And it turns out that the only thing slower than disk is distributed disk. That's not actually true. The tape is slower than distributed disk. But it's not a fun time, right? It's not able to help us turn our non-distributed tools into distributed, right? So if we have something that isn't already parallelizable, it's not going to be able to make it a party for us. It is going to be able to schedule it on a really big, chunky machine for us. That's kind of cool. But it's not going to magically make PyDcom run on three machines at the same time.  There's a whole bunch of different things that we could do. The first one is we can avoid writing to disk. And technically, we could do this with Kubeflow Pipelines because we can return anything. But this is the same sort of technical wherein technically everything's a Turing machine. So yeah, you can. But no one's going to. We could move our parallelization stuff up the stack. So instead of just using Spark to parallelize things, we could see if whichever workflow tool we were using gave us some ability to parallelize more things. And there's probably a bunch of other things that we could do. Oh, by the way, also this is my dog. His name is Professor Timbit. For some reason, Trevor left him off the paper. But he is included in the book. And if you buy a copy, you can see another picture of him. Right. OK, so probably we could do more things. But as mentioned before, I am very lazy. And right, so the other thing is we have three standards. We've got these three different tools. The solution is to make another tool. Does anyone remember that XKCD? For copyright reasons, it's not included. But if you don't remember it, you should definitely go look it up because that's what we did. Or another book, right? The software engineering thing. It does pay a lot more than books. But right, we could make some new books or these tools. So we can use Ray distributed to make using multiple tools less expensive. And we can do this because Ray is able to represent the data in an internal Apache arrow in memory format using its object store called Plasma, which has a nice shared memory interface. And if any of you have used shared memory before, you know by when I say nice, I mean dumpster fire, but contained dumpster fire. So it's really good, really fast. So we could make using these multiple tools less expensive. So we could use Ray to stitch our things together instead of just depending on Kubeflow pipelines. We could also just try and have less tools. And we could do that by doing things in Dask. And for example, Dask has distributed SVD as well as having the ability to distribute the PyCom stuff. So we could use something like Dask. So we have less tools to stitch together. And even though every tool that we stitch together is still going to be kind of expensive, there's less of them going on. But regardless, the answer is buying more of my books. OK, so you might be saying to yourself, hold on. That sounds great. I will, of course, buy those books that you mentioned on the previous slide. But should I still buy your Kubeflow book? And the answer is yes. And so this is because Ray and Dask don't solve everything. Specifically, when it comes to the level of isolation that we're able to get, Ray and Dask make it really easy for us to use different versions of Python libraries. But if we ever have to deal with different versions of CUDA or different native libraries, our life is going to be really, really sad. And we'll want to use something like Kubeflow to do the coordination instead of trying to use Ray or Dask, which have a much tighter integration. Other things is serving. The Ray people, if you're watching this talk, I'm sorry. So you can do serving with Ray. You probably shouldn't. Or if you do, you're going to have an exciting learning opportunity, which is going to give you an exciting opportunity to give a talk about all of the things that went wrong with building a serving system in Ray. So you can do it. And you can fix those bugs because it's open source. So please do. On the other hand, if you are in any way judged for your performance instead of hours worked, consider not doing that. And you can use something like Selden for serving, which is much happier. And I say this because I think one of the Selden people is in this room. And I'm not sure if the Ray people are in this room. OK, also hyperparameter tuning. So OK, yeah, there's a whole bunch of really lovely tools that we get with Kubeflow that we don't really get with Ray or Dask. They're sort of more designed to make these things parallelized and less focused on the fancy machine learning bits. So that's the party there. Cool. Also, if you've ever said to yourself, Holden, this sounds terrible. How can I get my children involved? Have I got the answer for you? You too can teach kids about the magic of Kubeflow with Kubeflow Place. Pallas? No, Place. They should have caught up Pallas, whatever. It is available now on the internet. And unlike all of the other books, it's free, which is clearly a mistake. But before they realize this mistake, you should go and download that PDF and show it to your children to save them from the life of software engineering. Alternatively, if you know kids who do not have your home phone number, you could teach them the magic of Spark with distributed computing for kids, which will be available for values of soon, which are similar to when I will do my assignments, which is soon. And you can teach them the wonders of Spark. And then later on, if you make the mistake of getting them your phone number, you can teach them the wonders of out-of-memory exceptions. Yays. Not me. Oh, I should take my phone number off the internet. Oh, dear. OK. Anyways, so that's it for the talk. I would really love any live questions. Alternatively, if you're shy and you don't like asking questions of the person wearing the fabulous dinosaur dress in person, you can always email me. Thank you, one person who clapped. It means the world. You can also email Trevor. Trevor is delightful. And we'll answer questions about the math things, electric bike imports into Chicago, and whether or not he has slapped. Oh, and also, this is totally, only tangentially related. He proposed to his wife in the book that we wrote together in the preface. And she said yes, and now they have a kid. And so I feel, in a very small way, partially responsible for this. And you too can feel partially responsible by buying several copies. OK, does anyone have any questions? That looks like a no. Oh, did I go over time? OK, well, I'll be around because I am cheap. And I think there's free drinks. I hope. I hope. Someone told me there were. If they were lying to me, I would be very sad. I'm going to go try and find free things to drink and eat. And you can come and find me. If there is another person wearing a dinosaur dress, please introduce me. Otherwise, you can just look for me by my dinosaur dress.


Just having a week off, man. We ready to play. Me, I'm ready to play and ready to go. We had a really good week, you know, but they're going to come down to execute on Saturday and just playing outside of football. How excited are you to be able to have the opportunity to turn in a big time performance in a big time game? I feel it's simple that, you know, this franchise has been waiting for a long time. We got a special opportunity here, but we got to take it one game at a time. This is a big game, but we are not going to try to make it no bigger than what it is. It's a big playoff game, but I understand that we got to come out and we got to play outside of football each and every time. So no matter what the game is, we're going to treat it like it's a normal one, but, you know, we got to play our style and, you know, just have our way. Eventually to get Derek back, how much of an emotional lift is that for everybody, knowing that you guys have gotten the number one scene with him missing half a year? It definitely gives us some confidence, you know? He's a tremendous player, and in my opinion, I think he's the best runner back in the game.  So that gives us confidence, you know? So we're excited.  It looks like you've gotten healthy at the right time, just in time for the postseason. Is it exciting to know, like, what the potential could be there just because you're going to have everybody out there? Most definitely. Whenever you have all your guys, most of you guys, you know, healthy and on the field and playing at the right time, you know, it could be special. And we're excited. Like I said, we took this week off. We took a week off and we had a week of practice. And we're excited. We're ready to play, you know? That's the energy I get from the fellas, you know, from myself. I know I'm ready to go. So I know definitely God's ready to go. Have you seen the chemistry and the time that you even benefit from this extra time this year? Almost definitely. We definitely got some work. You know, it's just when our rest, we worked the off week. So, and it also gave us time to heal up a little bit, to get guys back. So just all those extra reps, you know? So, you know, whenever you put work behind the scenes, you know, it's going to come to the light. How much the past playoff experience has helped? I mean, do you remember just how crazy emotion was your first playoff game and how much did you maybe learn from those experiences? My first playoff game, I don't even remember who we were playing, to be honest. But just having that experience, just know not to try to do nothing. Nothing too crazy. You know, let the game come to you. You know, just having that experience and just playing fast and, you know, and don't try to do no extra stuff. Just play within yourself. You know, that big play is going to come. You know, it could come in the first or it could come in the fourth. You just got to stay here and keep going. Keep chopping wood. As Todd down, and he said that he makes it an effort to have plays for you guys in the call sheet early in games. There was a receiver. How important is it to get involved early in the game? Like, how much does that help you get down there? I know it helps me tremendously, you know, because I want the ball early. So I can kind of control the game. I can set the tone, set the tempo. You know, I can let my DB know what type of day it's going to be. You know, and, you know, and let him know, like, it's not easy work.  You know, and if he covering and I'm not getting the ball, you know, he thinks his job is easy, you know. And I want him to worry about me all game. So is there any one of the Bengals secondary who impresses you that you're looking forward to battling a little bit on Saturday? To be honest, I'm just excited to play. Those guys on the back end are veterans. I can't think of their name, 30 and Bill, Eli Apple. And another guy, I'm 22, I can't think of his name. But they're really excited to play us. And, you know, we got to work it out. We got to make plays.  What do you do between, and it's still 48 hours of the game. What do I do? What do you do between nine, man? And can you almost paralyze yourself with thinking about it too much leading up to it? You know, I'm watching as much as films. As I can right now. But for me, just to calm down and keep everything relaxed.  And other than that, whenever she's just chilling or sleeping, I'm shooting pool in my house. And it's kind of relaxing. You know, that's how I just kind of keep myself calm. And, you know, because it's a long time. And it's a long time from now. So I got to just be ready when it's time to ready. How good is the pool game right now? My pool game is really nice. I'm going to brag on myself. It's really nice. I still have a struggle with my father. He don't want to talk to me. So, yeah. What are you thinking of doing rockin' Saturday? And how much did a loud, voice-just crowd help you guys? Oh, I really feel like this stadium is going to be rockin'. I think Nissan fans, Titan fans, it's going to show up. And that's going to help us. So, you know, defense ain't often decided about it. Give us momentum. You know, we hear them. We make a play. To be honest, I don't hear the crowd until after the play. You know, so that's how locked in I be. But it definitely helps out. I know it helps out on 30 down. So I'm looking forward to Titan fans being there showing up.


I know it's been over a week but we haven't seen you since the Kansas City win for the Titans. When you reflect back on that victory at Nissan Stadium what stands out about the Titans performance? Well it was certainly one of the more exciting games that I've been a part of live. I think you know kind of watching back through it really the way the players just fought for 60 minutes. I mean it took every second of that game there were a lot of ups there were a lot of downs but we stayed the course and we kept finding ways to make a play. We have enjoyed talking about your draft class during the course of the season. Let's talk about linebacker David Long Jr. Got a chance to play a lot in the Kansas City game 27 snaps 11 tackles. Talk to us about the progress of number 51. Yeah it was much the same that we saw you know in this tape at West Virginia. He finally got an opportunity to get out there and play more defensively with Jayon Brown missing the game. Just really proud of him and I think a lot of the things that we saw on the college film when we were evaluating came kind of to fruition on Sunday against the Chiefs not hesitant to trigger. He played reckless. He was a part of a play that calls it fumble which is a big turnaround for us in the game. You know just really proud of the way he works on a day in and day out basis and took advantage of the chance he had. Derek Henry had his best day of the season 23 carries 188 yards in two touchdowns. So I'm wondering because he had his best day of the season safe to say the Titans had their best run blocking game of the season so far. Well the two both like you know they go hand in hand so it probably was a little bit better. I know I thought our guys got on their guys and finished and that's what the run game is about for those guys up front is getting on your guy blocking that guy till you hear the whistle and Derek did a really good job being patient yet pressing the hole reading letting the play develop and then putting his foot in the ground and getting downhill and running through contact. Jacksonville the opponent this weekend. Quarterback is now Nick Foles. That's not who you saw in week three. How does that change the Jacksonville offense? Yeah I mean he's a good athlete. He's got good size. He's got a good arm. He's certainly been in a lot of big games. Been in the biggest game in one Super Bowl. He's got a lot of good players around him. Those guys are playing well. Fornette, Chark, Westbrook, Cole all those guys are making plays for that offense. So I'm sure getting him back those guys will be excited to play with him. A piece taken out on defense. Jalen Ramsey now plays for the Rams. You played against him in week three. How does his absence change the Jacksonville defense and more specifically change their secondary? I mean I think anytime you lose one of your your better players it certainly impacts you to a degree but they've got a lot of good players you know on that side of the ball with it. Getaway, Campbell up front, the rookie Allen, Miles Jack at linebacker and in the secondary they've still got a lot of great pieces with DJ Hayden, Bouillet, Harrison at safety. Coach Wash does a great job with those guys. He and Coach Marone you know they've constructed around to continue to play Jaguars football. What must the Titans do better this weekend than they did in week three against the Jaguars? Yeah kind of shot ourselves in the foot early in week three and had a turnover down there and gave them points and I really felt you could feel the momentum in the stadium kind of swing towards the Jaguar and we never couldn't make enough plays to get the momentum back on on our side. So you know we've got to start fast and we've got to get up on these guys and we've got to get the momentum on our side and then finish and play for 60 minutes. And get that crowd involved. That's it. That's the thing. Thanks John. Thank you.


Hi guys! So today I want to do kind of a different type of video and show you one of my actual report sheets filled in and how it actually looks like. And so I'm just going to jump in and get started. Obviously I crossed out any patient information and things like that that could identify this patient. So yeah, so I'm just going to get started. So at top I have my patient's name, age, code status, allergies, and then I have their admitting diagnosis when they are admitted in history. And I actually flip these around. So this was the admitting diagnosis across the, or admitting date across that out. And yeah, so I accidentally flipped those, but you can see why this patient was here. And then their history. And I write any things like leading up like if they were brought in, you know, maybe by ambulance or if they were brought anything pertinent, I guess you can say. And then I go down here and I have the patient's vitals, kind of what they're trending in if they had a temp or any of those things. Neuro-wise, this can be more specific if they're a neuro patient, but this patient happened to be completely oriented. So I just put that they followed commands. Cardiac-wise, this was the cardiac rhythm. This was an old diagnostic test result from, you know, previous to test. And so that's ejection fraction was 15%. So I put that in the cardiac part. Respiratory-wise, so I have vent settings on here. So this patient was on a ventilator and then got extubated. So I crossed that out and wrote these things over here. This patient was going to be on CPAP at night. Right now they're not right now, but they were on two liters nasal cannula when they're extubated. And they were going to put this patient on BIPAP at night, but then this patient brought in their CPAP. So there's that. GI-wise, I have their diet. You know a lot of patients in the ICU are NPO, but this patient was NPO and then they got extubated. So they were on a cardiac diet and had a one liter fluid restriction. They had some nausea. This was OG tube, low intermittent suction. They had that and obviously when they took the, got extubated that it was taken out. GU-wise, patient had foley, increased urinal output. Sometimes I'll actually put an amount like between, you know, 200 and 250 or less than 30 or urine is amber. All might put more specific details, but on this day, I just didn't. No skin issues. This is where I'd put if they had wounds, pressure ulcers, any of those things. Lines, right from moral times three. This is a central line and there's three lumens. I put times three and this was their IV. So right forearm 20 gauge, left AC 20 gauge, right AC 20 gauge. Just put those in. Meds. This patient was on a dobutamine drip at 2.5 mics. And so I just put that there. They were on propofol at 40, but cross that off and they were getting socin and vanco for antibiotics. This is where I put any drips or pertinent meds. I don't put any, I don't put their schedule meds. I'll get to that unless it's important for some reason. Imaging. These were things they had and usually I'll write in results, but I didn't get results for this or to write them down whatnot. So and then I put labs down here and so I just write down the daily labs or any new labs and then I will, this is actually incorrect. The billy was not that accidentally made that mistake. But anyways, so usually put a down arrow if it was down trending or up arrow if it's up, like trending upwards. So the INR was 3.6, which is down, but then later in that shift, it was up to 6.9. So I drew a little arrow to show like, ah, it's next. And then the potassium was a little low. So I put a check mark when it's been replaced. And then we did a redraw and it was 4.2. So I just kind of, yep, 4.2. Down here are the doctor's name. CCM is critical care manager. That just means the intensivist is falling. And then I had nephrology and hospitalists and I just crossed out the name so you guys couldn't see. These are any notes, maybe things that I didn't know where to put them up there. So this patient had two units of FFP, lived independently. The mom was there, they had a strange, but when they got excavated those were taken off. And then over on this side, this is my like schedule that I had. So I started at 8 o'clock and that's when my assessments do. This is something specific to the hospital. Let's do by 9. So I cross that off. And then I go and I write all of my meds or any tests I had. So this patient had to be admitted. So I still had to do that. Work charting work. And then these are the meds they had. Venco and Femotidine. This is a MAG redraw. So I just redraw our labs at their central lines and stuff. So I just put on, I think there's a K redraw, yep, right there. Any lab draws that I may have to do. And yeah, I go through. These are some numbers, extensions. I was trying to call the blood bank and everyone was giving me different extensions and none of them worked. And then finally one of them worked. And then down here, so provider notification. So this is where I would write if I talk to a doctor, if I hadn't shouted it yet. I use this off and on kind of depending, but this is something I needed to talk to the doctor about. And so I write down little code word thingies that I need to talk. And so I had to talk to the doctor about serial labs. And then up here, this is random stuff I scribbled because I needed to ask one of our educators about them. So I just wrote things down. So that's what that is. But overall, that is my report sheet all filled out, all HIPAA proof. So no information is given away. And I wanted to show you guys this, if you guys are interested in having this report sheet for yourself, I have a link to that. I'll put it down below. It is on my Etsy shop. So you can go and check that out. I have a night shift version and a day shift version. So go and check that out. But thanks for watching and give this video a thumbs up. Subscribe to my channel and I'll see you next time. Bye.


Γεια σας, είναι Βικη, εδώ και καλύτερα. Σήμερα είμαι ευχαριστή να συγχωρίζω ένα καλύτερο καλύτερο στο Σεπτέμπερι, από Αλτενιού. Και υπάρχουν και πολλές δημιουργίες μέσα από τη στιγμή, δημιουργήσω να παίξω το καλύτερο καλύτερο για να βοηθήσω όλους για αυτό. Τώρα, είμαστε σκέψεις για να παίρνουμε ένα σκέψι και να δούμε κάποιες από τις σκέψεις που έχουν been released για αυτό το μήν. Δεν θα σας δείξω όλα, αλλά ήθελα να σας δείξω κάποιες από τους που really love. Λοιπόν, αυτό είναι called With Gratitude. Και όπως μπορείς να δείξεις, έρχεται με καλύτερες λευκές, καλύτερες για να ευχαριστώ, για να ευχαριστώ καλύτερες και για να ευχαριστώ καλύτερες. Τώρα, εδώ είναι ένα very unique set. Αυτό είναι called Cotton Comfort. Και εγώ really love those designs. Είμαστε πολύ καλύτερες.  And it comes with sentiments that are perfect for comforting somebody. So sentiments for sympathy cards and perfect also for thank you cards. Now, here is a Christmas one with those two big trees that you can emboss or you can stamp with different colors. And it even has a sentiment inside. This is the night before Christmas stamp set and matching dice.  Now, here is one of my favorites from this release. This is called Peace on Earth. And we will take a closer look later on, since this is the stamp set that I will be using for this video. And finally, there are a couple of dice that I really love for creating three-dimensional elements, perfect for decorating for Christmas. So you get one that you can create a three-dimensional ball. You can create it with your kids and decorate your Christmas tree. And you can also create the three-dimensional stars. Now, let's take a closer look on the stamp set that I will be using today. So I'm going to take them out from the pouch. And Altenew has come up with those pouches that you can open and close at the top. And I like to store my Altenew stamps and dice together in one of those pouches, since I keep everything together. So this is the Peace on Earth stamps and dice. And there is a beautiful ornament with the globe. I really love this design. And there is also a branch that you can stamp to hang your ornament from. Now, what is awesome about this stamp set is that it comes with the sentiment Merry Christmas in many different languages. So you get it in French, Italian, Welsh, Dutch, Norwegian, German, Chinese. I actually counted 15 different languages. And there are also even more sentiments in English. And of course there are matching dice to cut out your branch and your ornament. So this is the stamp set that I will be using for creating a Christmas card today. But I am planning to use more of the stamps that have been released this month and not only the ones you see in the video, but even more. So make sure to leave me a comment down below and let me know which is the stamp set that you want me to use on Friday. So now let's move on with this card.  So I can do some embossing later on. Now, Altenew has come up with this case of acrylic blocks which I really love. And they are big, nice acrylic blocks in four sizes. And I am going to start stamping my sentiments. I am using my VersaMarking and I am going to apply my embossing powder. The embossing powder that I am using is by Altenew and that's antique gold. And then I will go ahead to choose another Merry Christmas in another language and then I will go ahead and stamp it underneath. Now, you can do that quicker if you want by using your stamping platform just add all those sentiments, one underneath the other and stamp it once and then emboss them all together. And I managed to fit quite a few of those sentiments. They all say Merry Christmas in different languages and I made sure that I stamped everything along one side of my cardstock. So I have hit set everything and I hope you can see how shiny that looks. Today I am going for a very elegant looking card and I love Altenew designs just for that. They are not very childish and they are not too cutesy so they are perfect for sophisticated cards. And I am stamping the ornament again with VersaMarking and I am going to use the same embossing powder to emboss it. So I am going to keep everything monochromatic. I will have everything with white cardstock and only gold touches on top. I am going to hit set my sentiment. Now remember this video is a part of a blog hop so make sure to visit my blog because you will find there all the details on how you can enter for the giveaway as well as links to the rest of the blog hop stops.  I have some gold string there that I am threading through the top and now I can remove the backing and stick my ornament on top of my card. And I am going to secure the thread at the back with a piece of scotch tape. And I am going to embellish my card a little bit more so I am using the same string a tiny little bow.  Now I am going to use some white glue for that but you can also use your glossy accents or even a glue dot. And finally it is time to assemble my card. For that I have already created a top folding card that is 4.25 x 5.5. I am going to use this tape and this is a decorative tape that I have usually released kit by Altenew. And it is a nice gold and matches perfectly the rest of my design. But you can recreate this look even if you don't have this tape. Just swipe your Aversa Marking all along the side of your card base and then apply the same embossing powder as you did for the rest of the project and hit set it.  I am going to stick this panel on top of my card base and I have added some foam tape at the back to add dimension. And you can stop this card here. You can call it done. It looks beautiful and very elegant. Or if you are like me and you don't know when to stop then you can go ahead and add some golden dots with your nouveau drops. And that finishes off my card for today. Don't forget to leave me a comment and let me know which one of the Altenew stumps and dyes you want me to use for Friday. Thank you all for watching and see you next time.


Hello and welcome to this video. In this one we're going to go through TDACs back and we're going to go through this one here. It's supposed to be merging with Lottery.com, they've got a letter of intent. And this is one that's going under the radar a little bit, going to notice slightly. This has got huge potential overall. It's at a very cheap price at the moment. But in this video what we're going to go through is some information on Lottery.com. Some information on this back. Some research where I think the price might be going. And some positives about this and some negatives. So we'll look at some of the, we'll kind of weigh up the pros and cons of it in hopefully a decent video for you. And we'll go through that. I do have to say obviously I'm not a financial advisor. I do teach business in my daily life but I'm by no means an expert on the stock market. This is just the research that I've done. I've compiled and condensed some of the research to fit into a short video to respect your time. But there is obviously favour research out there about this and I'm sure you will consider looking into this if this interests you. If you haven't already bought into it, if you have good stuff, because I think this is going to go very, very far. If you're thinking about it, then it's something to think about at least. So let's go through this without further ado. So about Lottery.com which is the SPAC that's going to be merging with Trident Acquisitions. Trident Acquisitions being the SPAC going to be launching with Lottery.com. This was founded in 2015. The business has already been going for roughly five years now. It hasn't just started two years ago or a year ago. It's got some historic information that we can look at in terms of past performance and what it's done in terms of a five-year period. It's a leading platform for online Lottery games. So it's one of the leaders in this particular space here for online Lottery games. It's got a compounded annual growth rate of 279%. So this is growing fast, this Lottery.com business. It's growing fast. And I think it's to do with the scalability of the business because of what they're selling. It's actually a digital product. They're doing it digitally, the Lottery through an app application as part of that. And it's very scalable, the business. So naturally the annual growth rate is going to be great. And if this growth rate continues as well, that's only going to be good for the stock price as well. So it allows you to play Lottery on your phone. So ultimately that's an emerging industry in terms of mobile gaming. It's not necessarily a game per se, as you would say in mobile gamers. But in terms of the use of mobile apps and gaming in that sort of area. It's a growing area and they've created something there to meet the need. It covers 600 Lottery games in 38 countries. So it has a global approach to this business. It's a global company, which means that that actually increases the amount of customers that they can market towards. And the more customers they can reach, the more potential profitability. And again, they're able to have this global approach much easier than a physical sort of product because it is a digital product. And that is an important point there. You know, as I say here, it's a modern and digital approach. The CEO seems very interesting and the leadership team and the vision overall for the company seems to be very modern and digital. OK, which is really good to see. So last point, it's cut out there with a webcam, I apologise. But it says expansion plans into more countries and US states essentially. So they're not contempt with the 279% annual growth. They're not contempt with the current success they've had already. They are continuing to expand into more areas. OK, which is going to impact their growth rate there. So there's expansion plans, which is always good to see. You don't want a business to stagnate, particularly if you're investing in it. You want the company to continue to grow. And one of the best ways for that to happen is by having some strategic expansion plans. So that's a bit about the company there. So this is sort of the evidence for it. So there is a binding letter of intent to combine with lottery.com tried and acquisitions. So it's highly, highly, highly likely that this is going to go through. Now I don't have a crystal ball obviously, but it's a binding letter of intent. And it's very, very likely that this will go through in terms of the SPAC merger. OK. So just a bit about the CEO. OK. So it's DiMatteo. And it seems like you're quite an interesting character really. It seems to have a lot of information really. And a lot of... It seems very smart from what I could see. Anyways. So it's a serial entrepreneur currently serving as a chief executive officer of lottery.com. A venture backed technological company based in San Francisco, California. Austin, Texas with additional offices across the globe. Again, that global approach there. DiMatteo is responsible for global initiatives and the development and execution of the company's long-term strategy. So there we go. So it's in line with a long-term strategy. And that's what we need to see from a lot of these companies is... Are they just thinking in the short term or the longer term? Now, if you want to invest in a company that's sustainable, having a long-term strategy plays into that. So he's a site after industry speaker and thought leader and his approach to entrepreneurship, cryptocurrency and the gaming industry has been reported on the Wall Street Journal. So some media attention there. He's also been featured as a guest speaker. Previously held numerous executive and C-level positions in tech companies across multiple industries, including a leader and writing the playbook for security token offerings and serving as an advisor to several ICAs and blockchain companies. So very involved in terms of the modern and digital approach there in what is done there. And that fits well with a company in terms of the company trying to be in a modern and digital in its approach as well. So it seems like it's fairly capable. As of right now, something might come out that maybe is not what it seems. But from what I've seen and what I've researched so far, it does seem like a very capable CEO. You do want that in a company. You want strong leadership at the top of the company that's going to drive the strategic direction of the company. You'll notice a lot of the most successful companies and brands in the world are ones that have got very smart CEOs and leaders. You can think of multiple tech companies where that. You know what I mean. It's good to have a good leadership essentially. So our vision is to raise significant funds to help solve the most pressing humanitarian needs across the globe using impact raffle sweepstakes and other games of chance. Lorry.com is a domain leader in taking officially sanctioned games mobile. Very, very interesting. So ultimately this plays into their brand as well. If they're able to obviously do this lottery and they are making revenue, but some of that money is potentially going to charities or causes, that's going to help the overall brand image. It's going to create a positive brand image, a caring sort of ethical brand image, which ultimately might lead to more brand loyalty to customers who keep coming back and getting involved in the lottery games. So it's good that they have like this sort of ethical corporate social responsibility CSR side to it. In terms of thinking about ethics in that sense and trying to maybe help out a little bit. So that's nice that they've got that in their vision as well. So that seems like it's a big priority for them. Utilising the experience and technologies of the company's mobile lottery platform, the company is revolutionising legacy fundraising models into a platform capable of raising billions for charities and humanitarian needs. So they're trying to get involved in terms of ethics and corporate social responsibility. I mean, at the end of the day, they are trying to make profit as Lottery.com as a business that provides lottery and mobile on a mobile platform there. So they are trying to make profit, but they do also want to give back a little bit as well, which is good for CSR. And you may think, well, it is good because it's good for the brand image. And if it's good for the brand image, it's good for the longevity of the company. But also good, obviously, in terms of what they're doing, maybe there, in terms of helping out, which is really nice to see. More companies should do that. More companies need to take ethics and corporate social responsibility more seriously, just as a well. We're fighting all sorts of issues, poverty, climate change and all sorts of different issues. And I think more businesses need to take these issues seriously. And I think it only reflects good on their brand. But anyways, I'm going off on a tangent there. So some of the positives here. So they've got a working product. I know that you're thinking, how is that a positive? So what? Well, you know, some of these SPAC mergers, they don't yet have a working product. So some of the time, you know, it's a product that's in production or it's not quite there yet.  So as we say here, second one, strong growth shown in the past. So we can see the compounded annual growth rate. We can see that it is growing and it's got a good history of that happening, which is really important. And not sometimes SPACs don't have that. Sometimes SPACs are with whoever they imagine with the fairly new companies. And there's not much history that we can look at in terms of what we can draw upon. But with this one, there is a lot. It's got huge potential growth in the future in terms of it trying to expand into different markets there. It's got highly scalable. Again, with it being a digital product, it's highly scalable. It's got a strong leadership team. So it's not just necessarily just a CEO. It's the people that are also involved in the company at the senior levels. There's a strong team there for this that's trying to push these expansion plans through. It's trying to grow the company, which is obviously good for us. There's a great business model in terms of how they're trying to make their money and raise funds. It's a solid business model. There's a high profitability in the industry. Last one there, it's an emerging sector. So in terms of mobile phone, gaming, mobile apps, gambling-ish. So it's all an emerging sector, which is always a positive thing to see. You want to invest in companies that are in emerging sectors. Now some of the negatives, and these are not necessarily full negatives, but it's just important to be fair about this. Rather than me just being another video that's just hyping a spack up. I want to be a bit more realistic and actually say that, look, there is some areas that you've got to consider here before you invest. Now the first one is that it is very speculative. We just don't know a lot of factors. It's speculative. We don't know where the stock price is necessarily going to go. It's a spack. It's very speculative being a spack. The second point is that it's volatile. There could be a lot of volatility of this stock. We don't know necessarily where it's going to settle at. So that's another potential negative. But also positive, you know, you make money off volatility. Now you can see here the stock itself is sat on, well, after hours, it's 12.28 now, just going up a bit. I bought into this stock. I bought a little bit into this stock. I think I'm probably going to add to my position. But as you can see, it's at a fairly cheap price already. It's a good sort of cheap price. Maybe try to get it under 12 if it goes back under there. We don't know, do we? You might not even hit underneath there again. But if it goes to like 11.30 or 11.50 or something like that, maybe consider getting into this player, putting in a position. There could be potential for it to double or maybe go up 50 to 70 to 100% within the next sort of couple of months or so. So there is huge potential here. But obviously, again, I'm not a financial advisor, business teacher in my personal life. But you know, I don't, as we always say, we don't have crystal balls. So we can't say absolutely what it's going to go to. But I think certainly it's likely to go higher than what it is now in two months than go down from what it is now in two months. I think in terms of that, there's potential for this stock. And it's a pretty good company. So that's some information on this stock. Please leave the video a like if this helps you out in anywhere. I'm a small stock channel, so any sort of support on the videos by leaving a like really helps the video algorithm out, helps it get up on the front pages of YouTube and all that. And also, if you enjoyed the video, found it helpful in anywhere, please subscribe. I'm not selling any courses or anything like that. All I ask, subscribe and like if you can. I'm not selling any courses or anything like that. OK, so thanks for watching. OK, and I'll see you all in my next video.


Hey guys! How you doing? It's your boy Rich from Rich TV Live and we are Live and Interactive bringing you the daily news and we're going to talk about what's going on in the markets, stocks, cryptocurrencies, green, everywhere. Futures were red, a little slightly red, and then they erased the red and we were green, big green day in the markets for both stocks and cryptocurrencies. So recession fears right now, even though they mount, we didn't see that in the markets today. So it's very interesting to see that the Dow Jones was up 368 points, the Nasdaq up 134 points, and the TSX up 183 points. So big green day in the markets and cryptocurrencies. We're going to look at the charts for Bitcoin and Ethereum, all green and running up today, running a big. Now news to look out for for July 29. Canadian news, GDP month over month numbers come out with medium impact on the market and it's the broadest measure of economic activity and the primary gauge of the economy's health. So extremely important that you look at the GDP numbers. If you're in Canada, which are coming out tomorrow in American news, poor PCE price index month over month. And that is very high impact news. So we are going to be watching that very, very closely traders care about the news measures because it is the Federal Reserve's primary inflation measure. So extremely important that you're paying attention to the core PCE price index month over month in America on the 29. So everything that we're talking about is what is happening today on the 28th. If you're watching this video on the 29th. Pay attention to the big news in Canada and the United States. We're going to be watching all of it very, very closely here on rich TV.io for our community and with our community community built by investors for investors. Other big news that's happening today right now after market. Apple just reported pretty strong beating. They are up slightly Amazon had a big beat. Very, very big beat for Amazon. They are surging right now 11% after hours Intel. Not good numbers for Intel. They're down big after reporting after hours. So big earnings. We're going to see how that affects the market tomorrow, but so far, especially with Amazon looking very, very exciting. So that was good to see. And I think the market will respond to that Amazon news more so than the Intel news and Apple beat, even though it's a slight beat for Apple, it's always nice to see Apple beat. Very good for the markets overall. Now we're going to take a look at the price of Bitcoin and Ethereum. So let's quickly take a look at the price of Bitcoin and Ethereum. Here we go. So this is the price of Bitcoin and Ethereum so you can see Bitcoin right now this is the one month chart and on the one hour chart timeline. You can clearly see that Bitcoin for the one month is very close to the high of the month. So we're right around the high of the month Bitcoin right now trading at 24,100. So extremely bullish and you can see trading right around the high of the month. So if you're in Bitcoin and you're looking to make a trade, this is a great sell zone. If you're looking to take a trade because Bitcoin is deeply in the green and at the high of the month.  That's what I'm doing. Same thing with Ethereum. You can see the high of the month Bitcoin doing a high of the month and Ethereum now also hitting a high of the month. So this is very, very bullish for Ethereum, which is now at a high of the month. Now if you're in this trade, always good to be selling in the green. That's what we teach. And Ethereum is clearly in the green now hitting a new high for the month. Now at 1778 for one Ethereum and a new high for the month for Ethereum, we love to teach sell in the green and buy in the red. You've been buying Bitcoin or Ethereum when they were on the dip. This is a great time to take profits as they surge or you can hold. I'm holding my Bitcoin and Ethereum positions now looking to sell at these levels. I like to sell at all time highs. So the next time we get to all time highs for Bitcoin and Ethereum, that's where I will be looking to sell until then I'm just going to be holding. But if you're looking to make a trade, Bitcoin and Ethereum now at one month highs, great time to take profits if you're looking for a trade. Love to know what you think about this trade idea. This is your boy Rich from RISTV Live. Now let's just go back and quickly take a look at Pfizer. I just want to quickly talk about Pfizer. Pfizer also beat huge, huge, huge beat for Pfizer. And I want to give you guys full disclosure. I am a holder of Bitcoin and Ethereum and Amazon. So please do your due diligence and RichTV Live is strictly for information and education purposes. Do your due diligence, do your research before you invest in anything we talk about or discuss here on RichTV Live and past performance is not always an indication of future results. I am a shareholder of Amazon. I am a holder of Bitcoin and Ethereum. And I am a shareholder of Pfizer. It is my number one stock holding. I absolutely love my Pfizer. And they just had a huge revenue beat. 27.7 billion in revenue for the quarter for Pfizer. I think it's a safe zone. They also pay a 3% dividend. It's my number one holding. It's been an amazing stock even through the toughest market we've gone through here in 2022 in quite some time. Pfizer has held up when some of the biggest companies are down, including Apple and Amazon and Google, Bank of America and all the top banks in Canada. All of them are down in 2022. But yet Pfizer has been holding pretty strong. They're down slightly from their highs. But they've been doing quite well in 2022. And their earnings beat shows year over year revenue growth of 53% with 27.7 billion in revenue for the quarter for Pfizer. So huge quarter for Pfizer. And I just wanted to leave you with that. Thank you guys for watching. If you're not winning, you're probably not watching. We bring in the winners. We bring in the news. We bring in the CEO interviews. We bring in the analysis. We bring you company overviews. And we bring it to you first. The only platform in the world where I physically own Bitcoin. I physically own crypto. I physically own stocks. I physically own real estate. I physically own NFTs. And we getting into the metaverse too. It's true. If you want to learn about all of those industries all in one place. All you got to do is go to rich TV.io. Thank you guys for watching. It's your boy Rich from Rich TV. If you want to get rich with your boy Rich, get rich with Rich.  I'm up. Peace. And make sure you hit that subscribe button and that bell for notifications and smash those likes. See you guys later.


Black History Month is wrapping up and the Navy's first African-American nuclear-powered submarine commander talked about his experiences They allow midshipmen to go back to their their hometowns and give presentations about the Naval Academy so they came to my school and I Saw the movie and I went to my guidance counselor in the eighth grade And I said I think I want to think about going to the Naval Academy. I really liked that movie that we saw The Academy will come the men who will command these incredible craft and their awesome power And I'll never forget these words. I will never forget And he says Pete Why don't you concentrate on something reasonable? You can see the full story at www.ah.mil