Welcome back to Vegas. It's theCUBE live at AWS re-invent 2022. There are, we're hearing up to 50,000 people here. It feels like the energy at this show is helpable. I love that. Lisa Martin here with Dave Vellante. Dave, we had the keynote this morning that Adam Szilipski delivered lots of momentum in his first year. One of the things that you said that you were looking in your breaking analysis that was released a few days ago, four trends. And one of them you said, under Szilipski's rule in the 2020s, there's going to be a rush of data that will dwarf anything we have ever seen. Yeah, it was at least a quarter, maybe a third of his keynote this morning was all about data. And the theme is simplifying data and doing better data integration, integrating across different data platforms. And we're excited to talk about that. Always want to simplify data. It's like the rush of data is so fast it's hard for us to keep up. It is hard to keep up. We're going to be talking with an alumni next about how his company is helping organizations like Cisco Meraki keep up with that data explosion. Please welcome back to the program Matthew Skolian, the CEO of Matillion. And Hosheng Chenoy joins us, data scientist at Cisco Meraki. Guys, great to have you on the program. Thank you. Thank you for having me. So Matthew, we last saw you just a few months ago in Vegas at Snowflake Summit. We only meet in Vegas. I guess we do. That's okay. Talk to us about some of the things. You know, I know that Matillion has a data transformation solution that was originally introduced for AWS for Redshift. But talk to us about Matillion. What's gone on since we've seen you last? Well, I mean, it's not that long ago but actually quite a lot. And it's all to do with exactly what you guys were just talking about there. This almost hard to comprehend way the world is changing with the amounts of data that we now can and need to put to work. And our world view is there's no shortage of data. But the choke point, certainly one of the choke points, maybe the choke point is our ability to make that data useful, to make it business ready. And we always talk about the end use cases. We talk about the dashboard or the AI model or the data science algorithm. But until before we can do any of that fun stuff, we have to refine raw data into business ready usable data. And that's what Matillion is all about. And so since we last met, we've made a couple of really important announcements and possibly at the top of the list is what we call the Data Productivity Cloud. And it's really squarely addressed at this problem. It's the result of many years of work, really the apex of many years of the outsize engineering investment Matillion loves to make. And the Data Productivity Cloud is all about helping organizations like Cisco Miraki and hundreds of others, enterprise organizations around the world get that data business ready faster. Hosheng, talk to us a little bit about what's going on at Cisco Miraki. How you're leveraging Matillion from a productivity standpoint. I've really been a Matillion fan for a while, actually even before Cisco Miraki at my previous company, Libram. And we brought Matillion to Libram because to Matthew's point, there is a stage in every data growth, as I want to call it, where you have different companies at different stages. But to get data data ready, you really need a platform like Matillion because it makes it really easy. So you have to understand Matillion, I think is designed for someone that uses a lot of code, but also that's someone that uses no code. Because the UI is so good. Someone like a marketer who doesn't really understand what's going on with that data, but wants to be a data-driven marketer, when they look at the UI, they immediately get it. They're just like, oh, I get what's happening with my data. And so that's the brilliance of Matillion. And to get data to that data ready part, Matillion does a really, really good job because what we've been able to do is blend so many different data sources. So there is an abundance of data, data is siloed though, and the connectivity between different data is getting harder and harder. And so here comes Matillion with this really simple solution, easy to use platform, powerful, and we get to use all of that. So to really change the way we've thought about our analytics, the way we've progressed our division, yeah. You're always asking about superpowers, and that is the superpower of Matillion, because low code, no code sounds great, but it only gets you a quarter of the way there, maybe 50% of the way there. So you're kind of an and, not an or. That's 100% Ryan. So I mentioned the data productivity cloud earlier, which is the name of this platform of technology we provide that's all to do with making data business ready. And so I think one of the things we've seen in this industry over the past few years is a kind of extreme decomposition in terms of vendors of making data business ready. You've got vendors that just do loading. You've got vendors that just do a bit of data transformation. You've got vendors that do data ops and orchestration. You've got vendors that do reverse ETL. And so with the data productivity platform, you've got all of that. I'm particularly in this kind of macroeconomic heavy weather that we're now starting to face. I think companies are looking for that. It's like, I don't want to buy five things, five sets of skills, five expensive licenses. I want one platform that can do it. But to your point, David, it's the am not the or. We talk about the data productivity cloud, the DPC, as being everyone ready. And what we mean by that is if you are the tech savvy marketer who wants to get a particular insight, and you understand what a row and a column is, but you're not necessarily a hardcore super geeky data engineer, then you can visual low code, no code. Your data is a point where it's business ready. You can do that really quick. It's easy to understand. It's faster to ramp people onto those projects because it explains itself, faster to hand it over because it's self-documenting. But there'll always be individuals, teams, and or use cases that want to high code as well. Maybe you want to code in SQL or Python, increasingly, of course, in DBT. And you can do that on top of the data productivity cloud as well, so you're not having to make a choice. But is that right? I mean, you use this stuff. So one of the things that Matillion really delivers is speed to insight. I've always said that when you want to be business ready, you want to make fast decisions, you want to act on data quickly, Matillion allows you to, the speed to insight is just unbelievably fast because you blend all of these different data sources, you can find the deficiencies in your process, you fix that, and you can quickly turn things around. And I don't think there's any other platform that I've ever used that has that ability. So the speed to insight is so tremendous with Matillion. The thing I always assume going on in our customers' teams like you run, Hoshang, is that the visual metaphor, be it around the orchestration of data ops jobs, be it around the transformation, I hope it makes it easier for teams, not only to build it in the first place, but to live with it, right? To hand it over to other people and all that good stuff. Is that true? Let me highlight that a little bit more and better for you. So say, for example, if you don't have a platform like Matillion, you don't really have a central repository for all of your coping. You could have a Git repository, you could do all of those things, but for example, for definitions, business definitions, any of those kind of things, you don't want it to live in just a spreadsheet. You want it to have a central platform where everybody can go in, there's detailed notes, copious notes that you can make on Matillion, and people know exactly which flow to go to and be part of. And so I kind of think that that's really, really important because that's really helped us in a big, big way. Because when I first got there, you were pulling code from different scripts and things like that, and you were trying to piece everything together, but when you have a platform like Matillion and you actually see it seamlessly across, it's just so phenomenal. So I want to pick up on something Matthew said about consolidating platforms and vendors because we have some data from ETR, one of our survey partners, and they went out, every quarter they do surveys, and they asked the customers that were going to decrease their spending in the quarter, how are you going to do it? And number one, by far, like over a third said we're going to consolidate redundant vendors. You're way ahead of cloud, we're going to optimize cloud resources. That was next at like 15%. So confirms what you were saying and you're hearing that a lot. Were you, because in IT we never get rid of stuff. We talk about it all the time, we call it GRS, get rid of stuff. Were you able to consolidate or at least minimize your expense around it? Yeah, absolutely. What we were able to do is identify different parts of our tech stack that were just either deficient or duplicate. So they're just like, we don't want any duplicate efforts, we just want to be able to have a single platform that does things well and Matillion helped us identify all of those different and how do we choose the right tech stack. It's also about like, Matillion's so easy to integrate with any tech stack, you know, it's just they have a generic API tool that you can log into anything besides all of the components that are already there. So it's just, it's a great platform to, you know, help you do that. The three things we always say about the data productivity cloud, everyone ready, we spoke about, this is with the low code, no code, quasi technical, quasi business person using it through to a high end data engineer, you're going to feel at home on the DPC. The second one, which Ho-Chang was just alluding to that is stack ready, right? So it's built for AWS, built for Snowflake, built for Redshift, pure tight integration, push down ELT, better than you could write yourself by hand. And then the final one is future ready, which is this idea that you can start now super easy. And we buy software quickly nowadays, right? We spin it up, we try it out and before we know it, the whole organization is using it. And so the future ready talks about that continuum of being able to launch in five minutes, learn it in five hours, deliver your first projects in five days, and yet still be happy that it's an enterprise scalable platform five years down track, including integrating with all the different things. So Matillion's job holding up the end of the bargain that Ho-Chang was just talking about there is to ensure we keep putting the features, integrations and support into the data productivity cloud to make sure that Ho-Chang's team can continue to live inside it and do all the things they need to do. Hushing, you talked about the speed to insight being tremendously fast, but if I'm looking at Cisco Meraki from a high level business outcome perspective, what are some of those outcomes that a Matillion is helping Cisco Meraki to achieve? So I can just talk in general, not giving you like any specific numbers or anything, but for example, we were trying to understand how well our small and medium business campaigns were doing. And we had to actually pull in data from multiple different sources. So not just our instances of Marketo and Salesforce, we had to look at our internal databases. So Matillion helped us blend all of that together. Once I had all of that data blended, it was then ready to be analyzed. And once we had that analysis done, we were able to confirm that our SMB campaigns were doing well. But these are the things that we need to do to improve them. When we did that, and all of that happened so quickly because they were like, well, you need to get data from here and you need to get data from there. And we're like, great, we'll just plug, plug, plug. We put it all together, build transformations, and we produced this insight. And then we were able to reform, refine, and keep getting better and better at it. And we had a 40X return on SMB campaigns. It's unbelievable. And there's the revenue tie-in right there. Matthew, I know you've been super busy, tons of meetings, you didn't get to see the whole keynote, but one of the themes of Adam Salipsi's keynote was, you know, the three-letter word of ETL, you know? They laid out a vision of zero ETL, and then they announced zero ETL for Aurora and Redshift. And you think about ETL, I remember the Hadoop days, they said, okay, we're going to do ELT, which is like raising the debt ceiling. We're just going to kick the can down the road. So what do you think about that vision? How does it relate to what you guys are doing? So there was a, I don't know if this only works in the UK, but it works globally. There was a good line many years ago, rumors of my death are premature. So I think it was an obituary had gone out in the times by accident, and that's how the guy responded to it, something like that. It's a little bit like that. The announcement earlier within the AWS space of zero ETL between platforms like Aurora and Redshift and perhaps more over time, is really about data movement, right? So it's about do I need to do a load of high cost in terms of coding and compute movement of data between one platform and another. And until then we've always seen data movement as an enabling technology, which gets you to the value add of transformation. My favorite metaphor to bring this to life is one of iron. So the world's made of iron, right? World is literally made of iron ore, but iron ore isn't useful until you turn it into steel. Loading data is digging out iron ore from the ground and moving it to the refinery. Transformation of data is turning iron ore into steel. And what the announcements you saw earlier from AWS are more about the quarry to the factory bit than they are about the iron ore to the steel bit. And so I think it's great that platforms are making it easier to move data between them, but it doesn't change the need for Hoshang's business professionals to refine that data into something useful to drive them out to the company. Like that, it's quarry to the factory here. And a very snowflake like in a way, right? You make it easy to get in, once it's in, then we can do... It's like, don't get me wrong, I'm great to see investment going into the Redshift business and to the AWS data analytics staff. We do a lot of business there, but yes, this stuff is also there on snowflake already.  You know, I know there's a big love fest between snowflake and AWS because they sell it so much business in the field, but look, we saw it separating compute from storage, then AWS does it, and now, you know, why not? It's a good sense, that's what customers want. They're customer obsessed. Data sharing is another thing. And if you take data sharing as an example from our friends at Snowflake, when that was announced, a few people are possibly, he said, oh, Matthew, what do you think about this? You're in the data movement business. So I was like, ah, I'm not really actually. Some of my competitors are in the data movement business. I have data movement as part of my platform. We don't charge directly for it. It's just part of the platform. And really what it's to do is to get the data into a place where you can do the fun stuff with it, of refining NC Steel. And so if Snowflake or now AWS and the Redshift Group are making that easier, that's just faster to fund for me, really, so. Yeah, for sure. Last question. A question for both of you. If you had, you have a brand new shiny car. You got a bumper sticker that you want to put on that car to tell everyone about Matillion, everyone about Cisco Meraki. What does that bumper sticker say? So for Matillion, it says, Matillion is the data productivity cloud. We help you make your business, your data business ready faster. And then for a joke, I'd write, which you're going to need in the face of this tsunami of data. So that's what mine is saying. Love it. Hosheng, what would you say? I would say that Cisco makes some of the best products for IT professionals. And I don't think you can really do the things you do in IT without any Cisco product. Really phenomenal products. We've gone so much beyond just the IT realm, so it's been phenomenal. Awesome. Guys, it's been a pleasure having you back on the program. Congrats to your now Hosheng and alumni of the Q. Thank you. But thank you for talking to us, Matthew, about what's going on with Matillion. It's so much, since we've seen you last, I can imagine how much more is going to go on until we see you again, but we appreciate, especially having the Cisco Meraki customer example that really articulates the value of data for everyone. We appreciate your insights and we appreciate your time. Thank you. Privilege to be here. Thanks for having us. For our guests and Dave Vellante, I'm Lisa Martin. You're watching theCUBE, the leader in live enterprise and emerging tech coverage.


Vince, you want me to do a VinciV intro? Dude, we can make this intro song and you can put it on every single one of your 72,000 videos. We got these mics right here, right now, the recording's going, let's hear it. The strict techno man sir that is VinciV. Let us get to the technique and learn it VinciV style. Vince truly is a techno man sir. The strict techno man sir that is VinciV. Let us get to the technique and learn it VinciV style. Vince truly is a techno man sir. The strict techno man sir that is VinciV. Let us get to the technique and learn it VinciV style.


Welcome back to my channel guys. It's your girl Coco styles and on this channel. We talk about beauty fashion Lifestyle and styling today. I wanted to bring my tall ladies Some outfits you can wear in the summer So I have a few things that I want to actually show you guys some of them you already saw but I want to mix it in with some older things and Pretty much maximize the things that I have So for those of you guys who don't know I am six feet tall and the struggle is real when it comes to Shopping and finding things that are stylish and that fit as well so let's get into it and some of the things are from express some are from Zara some are from world I forget some old stuff. I have some old stuff from a sauce. I believe So I will get into that and show you guys and let me know what you guys think so for reference again I'm six feet tall. I am about 205 Slender but I still have a tummy So if that helps you guys kind of get a visual Not really big in the hip area or the bum area. So in my upper area is a 30 34 30 34d Double Z. I don't even know anymore guys. So let's get into these outfits guys. All right. Here's outfit number one guys This is a this is an express suit. Okay? It's not linen, but it has like a linen feel and it's actually really good quality The jacket is in a size large and I got a size 12 long. I hope you guys can see my feet Let's move this back some I got a size 12 long and They fit pretty well. They do have pockets the pants now my only thing is that The sleeves on the jacket and I'll get into that in just a second or a little bit too short for me So I had to alter them to my liking alter it to my liking and the pants were just fine I didn't even get the pants taken down or anything. I pretty much left them as is. They are Slightly see-through, which is great that the blazer is long But um, it's a really nice suit now the bandeau top is from express as well If you guys can see here. I did get the sleeves cropped I do this often if I like something and it's just a little bit too short for me and the item doesn't have enough material to bring down So this is something that I would wear in the summer. It's very lightweight. The jacket is lightweight. It has a slight Lining in it, but it doesn't go all the way down the back. It's like crisscross in the back which is great and This is outfit one. What do you guys think would you crop your blazers if You didn't like how they fit on your arms or would you just roll them up? Rolling up is cool, but sometimes it gets a little boring too So this is like a roll of feel without Rolling them up and then I'm going to wear something like this bag with me very chill and probably my key glasses These are very affordable glasses something that I would always recommend getting if you're starting to get into designer shades very affordable Sometimes you can get one and get the other one free And they're nice. They're decent quality nothing to complain about So this is something that I will wear in the summertime as a tall girl guys All right guys, so here's another outfit that I would wear in the summer. You guys may think oh, she has on jeans No, these jeans are very very lightweight. They are from Zara and so is this blazer and I just threw on some pumps today whoa today Some pumps with this and kept it kind of chill I have on the same banded top that I had on before I can definitely switch this off and put on some slides if I do not want to wear Any heels the headband to show you guys the headband The headband is from I think her name is arliss She has really nice headbands. I'm actually going to take off these and show you guys this with The flats I can do a couple of things. I can wear my Sam Edelman slides If I wanted to It's always good to have a pair of thong sandals Right, all right, so let me come back over here And grab these shades And if I wanted I can do a pop of color if I wanted to Um, but it really just depends. I can do a couple of things with this right some some simple thong sandals and Very very chill. Let me grab The same bag that I had since it's already out And keeping it very very very chill thong sandals are always in Very minimal level on your feet. So you can definitely get away with wearing them with a ton of outfits and Keeping it chill Zara pants These are Rather long to be quite honest These are their I don't want to say they're noisy, but this is a wide leg full length pants and When you check the description It does tell you that they are extra long So Take a look And you guys know for reference. I am Six feet. So that's the Other outfit that I will wear in the summer on a chill day guys All right guys. So here is another outfit. I am wearing a dress from I think this is Zara or mango. I I'm gonna check the tag for you guys Um, but it's a really nice slip dress really nice quality and maybe from vince But anyway, the top is a sheer button up top from massimo duty I have my Gucci ophelia bag My jimmy choo shoes And I wanted to do something a little bit different as opposed to wearing a regular White shirt So this is sheer And I wanted to keep everything lightweight sometimes cotton is great But I wanted to do something a little bit different so you could see the dress through the top um I changed my necklace very simple Ben amon necklace my valerie earrings and keeping it really chill guys So this is another outfit that I would wear as a tall girl in the summertime I would wear something like this to brunch with the girls The heel is not high So I definitely um will be comfortable all day And all night honestly because it's not high. There's a slide I can slide them on and off if I wanted to if I wanted my feet to get some rest, I guess, but It's very chill I'm looking in the mirror over here to make sure that everything is intact But yes, this is a massimo duty top They have really nice things. Um They're not tall girl friendly But you can definitely Maneuver through the site this shirt. It's supposed to be Super oversized, but how it fits me is fine because it's like a deep well deep a thicker Wrist area and it fits me just fine So this is what I say guys as a tall girl You can definitely figure out ways to Make regular brands work for you and still feel good with how you are leaving your home So this is my other outfit And let me know what you guys think make sure you guys own a slip dress because slip dresses and slip skirts can be worn so many ways and When I have clients and they tell me that they don't have one I'm like, why like there's just so many things you can do with them like you can wear this dress Many many many many ways. Um dress up and down So that's this outfit that I will wear in the summer as a tall girl guys


Baiklah, maafkan saya sekejap. Saya hanya cuba melihat perkara ini berkelihatan. Bagaimana jika saya melihat perkara ini? Baiklah. Baiklah. Baiklah, semua. Sebelum saya teruskan. Saya hanya mahu periksa. Adakah ia terlalu panas dalam bilik? Baiklah, saya rasa beberapa anda tidak terlalu panas. Baiklah. Biar saya memutuskan ekon. Ia akan berjaya dengan cepat. Saya hanya membawa ke-26. Oleh itu, saya hanya akan memasak sedikit. Baiklah. Bersama saya, saya akan menerimanya. Ada sesiapa yang ingin berenang? Bersama saya, saya akan membawa ke-26. Baiklah, saya sudah menerimaput saya. Baiklah. Saya hanya mahu melihat perkara ini. Baiklah. Baiklah. Begitu yang perlu saya beri saja. Boleh saya menerimanya? Saya akan menerimanya. Saya akan meminjamkan perkara ini bagi orang lain. Err... My name is Alvin, my sharing won't be anything that is extremely technical. I can tell that a lot of work has gone in. She has prepared a lot of materials to share with us. But today I think my talk is a lot more about the way how we do things here at Digital Ventures, what I have learnt and this is the kind of methodology that we have used somewhat. For us to start off and also to explore the kind of potential venture businesses that we can build. And a result of this are all the wonderful businesses that you see that we have done. Some of which you might have seen the names like Oval Affinity. So it's the same methodology. So I'm just sharing with you, take it with you however you want it. Any questions, I will help to answer it. So let me just kick this off. So I think one thing is that far too many of us focus a lot on building the perfect product. Trying to perfect our code. Trying to make sure we know everything about the market. We know everything about the problem or the solution before we actually decide to launch it. And it will probably take a long time, one year, two years, how many number of years you need to get that done. And I think this is very true because people will always say that perfection is the enemy of progress. And I'm not too sure if you guys have seen this company that came up on the news not too long ago, maybe two weeks back. You know, this company is called Aqua, it's based in Singapore. I hope no one's from Aqua but they've been doing this product for the last four years and a couple of hundred plus of companies with I think total $20 million of funding and four years no product to show completely failed to launch. And I think it was in the news, that's why people were surprised. $20 million, no real product. So I think that's the lesson to learn here. So why is this happening? The complete failure can be avoided by trying to learn early on and also doing the cost corrections. That's what I'm trying to share with you, why we need to avoid all these complete failures. The reason for failures are typically because there's no product market fit which is very clear with Aqua. They're trying to figure out what's going on but as long as you never launch it, you'll never really learn from the market. And secondly, another top reason for failure is usually like poor understanding of the customers or the business. The moment you never launch it, you'll never learn anything. So always back to the same thing. So I think really what I'm trying to drive home is that the prototyping leads to a bit of testing as the moment you launch it and it's definitely going to fail along the way. But that whole idea is so that you can tweak that approach. Whatever you have figured out at the start, your assumptions might be wrong.  This is really the cycle that we always go through to help us to maximise our learning.  So on a very particular... Let me just maybe explain a little bit more just to add more context. But look at me. So I'll slowly explain to you. So on a very particular digital venture, we face a very specific challenge. So just for context, I think some of you might have heard, we have short projects and long projects. So the short projects are things like what we call the innovation and validation. So it's kind of like we take 10 weeks. One of our clients will come to us and say that, hey, we've got a big problem. We think that there might be an opportunity somewhere for us to start a business, but they don't really know how. So they come to us, right? They give us 10 weeks. We tell them, okay, we're going to help you figure out if there's an opportunity right here. So that is a validation project. That's the cups of it. Help them figure out if there's a real business in that area. So it takes us 10 weeks. This particular client, I can only say that they are an operator of job portals. They have many, many job portals. So that's kind of like the main business. So this client wants to expand market share in Asia, this part of the world, and they are keen to reuse what they have been doing back in their home country. So they think that it's a good idea. Just kind of transplant it into this part of the world. So there are three main complications with this problem. So firstly, the platform, what we see, is that it's not currently built for Asia. And for them to build the features to meet these needs, it is actually going to be a very big undertaking. That's number one. So number two, they're actually not too sure how big the market is. So for them, it's kind of like an internal thing. They've been trying to figure this thing out. They're doing surveys, but they're not 100% sure. And they don't know where to attack as well because when you talk about jobs, it's big. So when you talk about job portals, we've got white collar, blue collar, mixed color collar, so it's really kind of tricky. So it's impossible to make that real judgment online, okay, let's attack this and how much time we're going to spend to build that thing. I didn't know the complication number two. So number three, as you guys know, job portals is also kind of like a two-sided marketplace. You need to have the job post, and you need a person to job seeker to find a job. Then you can put them together. So they don't really know where to start first. Do we do this or... Oh, let me see. Do this first. Get the screen up. Yeah. So they're not too sure which one to start with first. So far, what we know is that it has taken the client more than one year to figure this out. We were surprised. We went in there. They were like, ask them. So how long have you guys been knocking at this problem? Say, last one year, no results. Okay, fine. This is probably going to be very difficult. So for us, the obvious way would have taken forever. So we will probably have to take a super long time to study, design, and then build something and launch it to get an outcome. So it's pretty standard. I think you guys probably have seen this. It's like, okay, we're going to spend the next three, four months. Let's do all the research, all the customer service. Let me call up customers. Or I'm going to put panel, customer, panel, sorry. Like focus groups. You guys know focus groups. Like, okay, focus group one, two, three, to all this. Okay. Then it's going to take, I don't know how many research. Then after that, we're going to do, okay, we've got all those results. Let's go and do the next round design. So like, okay, let's go and design all this. We've got the screens. We've got this and that. We go test the designs. Okay, not super good. I keep doing it again. Right. So it's going to be here. We don't really have the actual stuff. So once you have the actual stuff, right, then someone will like, okay, let us go and like translate all this into real actual features. We're like, okay, we're going to have feature one. Okay, just explain. Hi-Rail is the job. Hi-Rail, Seeker is the job Seeker. So like Hi-Rail, feature, we have this, then Seeker, we have this, then we're like, okay, let's build all this. You know, we don't know how long it's going to take. It's going to take one year, two years. All right. We're going to build all this. All we know, big corporate's work. Right. But actually, right, the idea is that we realize it is possible to provide a very convincing experience, right. We've way fewer stories than we thought. So, one way to do that, actually, right, you remember what I said, right, we just do small prototypes. Try to figure out what exactly is the real important features that we need to put out there. Right. So, just do the first base level damage. You know, like, do the minimum and try to learn 80% like the 80-20 rule. Like, do a little bit to try to find out as much as you can because everything else is going to be diminishing returns. So, focus on that. Do the basic one first. Then let's do the first round of design. Put it out there, get some real feedback. Maybe it's good enough. Maybe it's not good enough. Who knows? Until it gets into the hands of the customers, they tell us what it is. Right. So, then we just move on here with the design, with the most basic features, so one and two, like, maybe it's just a couple. You don't have to do everything. Let's just do a couple of those important ones. Let's launch it and get the feedback, right? So, that's kind of like the approach that we did. So, if this approach in mind, oh, crap, sorry, it's indifferent. Let me jump the order. So, actually, it came down to really this core features based on that mindset that we had. So, on the higher side, it's actually really simple. All they really need to do, is to see who is the one that applied for my job, which is the job seekers profile, and I need a way to contact them. That's really, really super basic job portal. Then, for a platform, as an operator of the platform, what I really need, it's just a way to edit maybe a job post, edit the job seeker profile, you know, have a way to capture interest in a job, the way to capture the interest in a job seeker. So, be like, if I'm interested in a job, I can capture the interest the other side. So, how I capture that. I need a way to match the job by parameters. So, maybe they have like, looking for someone with an education level or something-something. Then, the job profile is someone of a certain education level or something-something. So, we're going to match them by certain parameters. We need a way to match them by distance. So, for example, you don't want to find a job that is like, I don't know, five hours away. You want to find something that's close to you, right? So, it's really simple. This part here is just a mirror of that. So, I just need a way to register my profile as a job seeker. I need to see what the job is about and I need a way to contact the job hireer. Right? This part's clear. So, it's really super simple. We realize we didn't need all bunch of all the features. So, then we're thinking, okay, so what's the easiest way to do all this? Because we don't have a bunch to figuring this all out. We only have five weeks left. Of course, we already spend the first five weeks figuring out the commercials, figure out the interviews, figure out what are the initial designs and all that already. So, then we only have the last five weeks. But we cannot spend five weeks to do this, because as a company that is paid to give solutions, we also need to present them. So, the last week we need to spend on presentation. So, actually we technically only have less than four weeks. And then four weeks is like super two or three weeks. So, then we're thinking, okay, so what's the really, simplest way to do this? So, it turns out, that actually you can kind of get away with this in many, many ways. So, the higher feature, okay, I need a way to post my job. I mean, frankly, you're just really collecting information, right? So, actually you just need a form. Okay, simple form. Okay, then I need to see the job seeker profile. Okay, so then, okay, so we just give first. So, platform features, right? You see, I need a way to edit job post. I need a way to edit job seeker. I need to like capture interest. I need a spreadsheet maybe with an API. So, I can just update. So, it's like really simple. Maybe you guys have something like this as well. I need a way to match jobs. It's maybe a script. I need a way to match job by distance, some geo coding service. Okay, then I need a way to notify matches. One way. So, we can get that working. Same thing here, some form and some event. So, actually, before I go into the actual solution, just curious, right? When we were talking about forms, right? Do you guys have any solutions that pop into your head? We just need a form. What you guys were thinking of? Okay, go of forms. Okay, make sense. Okay, go of forms. Something else apart from go of forms? Type form. Okay, type form. So, something like a spreadsheet with API. Very obvious. Addable, okay. Good, okay. Then, script. Okay, this one, everyone knows. You all can write script, no problem. Dynamic HTML page. Okay, Jamstack, okay, notion. Anything else? WordPress. Okay, yeah, GitHub pages. Okay, cool. Okay, cool. So, let's see my next page. No, sorry. Okay, jump back. So, actually, this was kind of like the grand plan. So, you all kind of lend most of it already. So, let's ignore the first side here. We don't really need to see the first side. But actually, the form, eventually, we're in a type form. So, it's really simple. We just need a type form. There's API, and we just need this to go into a database. Actually, Google Sheets kind of have got everything you wanted. They have geocoding services, which is already there for free. You will also have like the like image host thing. You know, it's not real. But you can actually use Google Drive to host. You need to hack it a little bit. So, that works as well. Then, you need to run scripts. So, you can actually run scripts in the Google app scripts. So, it's like drop posting page. And, what's the other one? Drop sika profile page. There are really two pages, right? So, actually, they are just like two super simple like re-act pages. Only because I was like familiar with re-act. You guys probably use something else. They are super easy. Then, matching them together, right, was a combination of scripts. And also, matching them together was a combination of somewhere here. Some sort of backend we created, yeah, TypeScript. There was a very simple TypeScript engine that actually still has tests on it, which I was quite proud of that. So, we actually managed to have a test, right, of like 40 plus test cases to make sure that the test, the matching logic was correct. Because the matching logic was matching across like seven or eight different parameters and there was a bit of logic there. So, then we just wanted to make sure they was matching correctly. So, what's that was really here. So, we actually did once the matching engine came up with a list of matches, actually it just populated back into the Google Sheets and in turn we really just look at the short list and then just like copy paste and send the what's that messages out. Actually, we made it easy for him. There was a script that gave him the automated messages. So, all he had to do was copy paste, copy paste. So, this was what we did. Okay, so, forward again the final product that we did actually was like that and we did all this in less than two weeks. So, the page itself there were two pages but I'm just showing you one. This is what we sent to our client. So, this is kind of what it was. So, it was a simple page. There was an image of the person who, they did the matching and then there was all the other parameters. Once you click on this where you can as a job hireer I can click on this and then I can see the person what's that directly. This was a later iteration. We could click on this and directly talk to this person. So, actually it's possible to do all this. This is the if you know how type form looks like, this is what the type form is. So, we presented this to job hireers. We ran a campaign and they were actually going door to door and showing them the brochure and telling them hey, you know what, we have this new product that is helping you to find hireers like blue color workers would you like to register for it? So, we showed them this and they were like okay, this is interesting. Can I register? And then immediately give them an iPad and they register for it. So, yeah, it was pretty cool. We did all this and finally I think the best part is that everyone loved it. So, we made very good progress in just two weeks. So, we had more than 500 jobs posters. Wow, amazing. 2000 plus job seekers registered and pretty cool because we had almost 5,000 job matches online. These are real job matches. So, one to six. One candidate got almost as much as six vacancies. So, I'm just trying to show you what is the real impact. We had a portal and then do it all in like I don't know like a full blown super cool looking website but we knew that like, you know what, we just wanted to make sure that the client's objective was met which is is there a market? Do you think people will use it? Is this the right target market we're going for? So, the moment we we had that narrowed down, just launched the product, you know, we get the real results, we show it to them. We didn't fake this number, this are all real. Right? Okay. I didn't want to make this talk very long so I just want to quickly just wrap this up with all this isn't possible because of all this modern tooling. So, I'm sure some of you have heard this but if not, I'll just share one more time. So, you guys have heard air table. For air table, it's a very good collaborative data store. It's great. You can put attachments, you can put. You can do relationships, attachments. It actually has some referential integrity in there. So, it's pretty cool. And then all in one platforms if I was a real life saver, you can do anything in there. CI, CD, hosting, serverless functions in Dino as well. Anyone Dino? Shout out. Okay, no. Okay. Analytics like HIP is really good. If you guys haven't figured out like you know, you ask your product team say, what do you guys want to track? They say, I don't know. You know, then doesn't matter. Just throw HIP in there. So, HIP is a platform right where it's like Google analytics but better. You put the tracking code in there. It doesn't matter what you're tracking because you can go back in time later, right? To define what were those click actions, what they mean and then you can analyse from there. Right? So, actually, it's pretty cool and it's free. So, just go ahead and use it. If you guys looking to like have some sort of like NLP kind of experiences, there's something called AI. I think it's free if I'm not wrong. So, one of the other projects we saw, they use this. You don't need Google scripts. You can run it no matter how you want. Right? So, I think that really is all. Okay? Even if you forgot everything, there's just three key takeaways. So, first one is always be accelerating your learning. You know, what are the small steps you can do to accelerate your learning. You know, sometimes you might not be able to do it by yourself. You can only accomplish this by talking to someone. So, like for us, actually, our team wasn't all entirely aligned on doing this experiment together. We needed someone to come in and say, hey, should we just do it this way so that we can quickly find out what's happening in the market. You know, it was a one, two-day conversation.  Then we eventually accelerated and you know, learn a lot. So, you might always do it this, but you might have to talk someone into it. So, as long as they're on the same page as you, maybe the next thing you have to consider about with your conversation with your product manager next Monday when you go back to work and maybe there's been a long list of things that you guys are building. Maybe you can just ask them the question, hey, what's the minimum set of things that we can get away with? Maybe we can instead of 10 stuff, maybe we can re-paratize and just build the three most important stuff, maybe. So, that's one. You can get away with that. And then finally, the most important thing is don't build life for the last five, six months. No one's seen it.  You know that would be great. So, this is a turn. Take away. All right. And with that, I think I have no more slides. I'm done. Thank you. Okay, before questions, maybe I'd just like to draw your attention to the two amazing individuals behind me. One is Arial. Arial. Arial is without Arial's support, we wouldn't have been able to make this whole thing happen. She was organizing all the food, getting people here. All right. And next is Robin. Woo! Robin is my coach here and he's also the engineering director at BCG TV here. So, three of us are here. Happy to answer questions. Later, after this, you guys can talk to us. I'm happy to take questions now as well. Okay. Do you want to join us to find out more? Robin, you're going to say... How much money do you got? How much money do you got? Okay, we have I can say two major phases, right? First phases usually is like innovation and validation. And then after that, it's what we call stage gated. We go back to the client and say, hey, say, great. Yeah, let's go to the next phase. Then we have a long build phase. So, that's when engineers get a lot more involved. We start building out the entire big system. Then, you know, we launch it. But still, it's also in like phases. We won't like do a big bang. Usually it's, we have like alfa, beta and all that stages. So, we can slowly launch it out. Yeah. A kind of, yeah, exactly. Question. Failure stories. Oh, my God. Maybe before my time. You never want to remember them before my time. Don't remember, actually. I'll tell you. It does alright. Oh, yeah. Please, please, please. Ben, we're going to a shipping company and we're exactly the same...


Hey everyone, welcome to today's day trading update, today's Tuesday, September 22nd. So a pretty tough day trading, in fact, I would say if you could make money this morning day trading with our methodology, then you're probably well on your way to doing pretty good. It was tough for me anyway. I ended up green on the day plus $198 plus $198, but it was tough. I think in fact, if I was trading this afternoon, I probably would have made some, but I prefer not to trade that long. I was done by about $12.30, and that's kind of my limit. So here's what, let's break it down. So AMD, small loser, Amazon, big winner, over $1,400, so I'll show you that.    So let's go through these, and I'll talk about each one, starting with AMD. So AMD had this big flush down to start the day. I wanted to get short on a runner here, I didn't do it because it was still a little bit early for me in the day. It ended up pushing lower, pushing lower again, that would have been a nice winner, but I never did it. I waited for it to come all the way back up to this pivot, and I tried to get short here, and it just kind of flushed me out, so I took a small loss in AMD. Amazon, my biggest winner, so Amazon was looking strong all day. It opened up above the high of yesterday, I was just staying strong, pushing, hitting new highs, came down, and then when it bounced here, it started to consolidate this is where I got in, and I caught a little piece of this, and then it still kept running, I missed a bunch of this, and then it's consolidated here, and I caught a little piece of this right before I ended my day. So great winner, $1465, and with that, I'm literally doing one contract, those are big contracts, so just staying super small, but still able to book over $1400 bucks. Boeing, so Boeing was a little disappointing. I had a downside runner here in Boeing, it started off super strong and then just collapsed down and went negative on the day, so we were looking for an entry to get short, and I think it was right here, we ended up getting short in the room, came down, I think I took a little off there, got back in, and then the market started to get strong, and Boeing was kind of pushing up, looking like it wanted to go positive on the day, actually right here, and so I ended up just bailing on that, taking a small loss of 50 bucks on that trade, and it never really flushed lower, so it was a decent exit. Beyond, my biggest loser, so this one was a little bit frustrating, so I had a big push out of the gate, Beyond was up big, started to consolidate above this pivot, just a beautiful setup for an upside runner, and I got flushed out, and so I went ahead and bailed on that, took a decent sized loser on that. Facebook, let's go to Facebook, so Facebook was just kind of chopping around, staying positive, but not, you know, kind of weak price action, and then all sudden boom, it exploded higher, I didn't catch any of that, but when it pulled back, I got in and I caught this entire move here, I was up a lot more, but I was looking for one more push higher, I got out of some, but then as it pulled back, I tried to get in for some more, looking for another continuation, and it just can continue to fall, so I still booked 370 on the trade, but I was up over a thousand on that one. Lulu, this one was frustrating too, Lulu was strong on the day, and it pushed up above this pivot line, started to consolidate, we took this one in the room, we were looking for a continuation to the upside, and then this thing just started to flush lower, and I got out down here, and then it started to climb back up, and I was going to get back in on this little consolidation, and I just, I never got filled, and it took off without me, so never was able to recoup that loss, so it took a little loss in Lulu. Microsoft, let's see, what did I do in Microsoft? Okay, so I had, one was a mighty 90 trade that I took a little loss in, and then a runner, I took a little bit of a, I got in right here after it bounced off, break even for the day, started to consolidate a little bit, and so I tried to catch a little bit there, just a tiny, tiny one, but overall a small loss in Microsoft. Roku had a big push early this morning, and I was looking to do a mighty 90 kind of a reversal, it never gave us any downside, real downside action, so I just cut my losses on that, took a, took a decent size loss on there, because I had decent size on, started to consolidate, and look like a good potential upside runner, so this one was, this one was pretty painful to watch, so I got in, got out here, got back in some, and then it just kind of grinded sideways, flushed down a little bit, got in some more, and then it finally made a little bit of a pop, but just grinded sideways, and so I got out about right here, right at about 12.30, 12.35, ended up booking a winner overall of $70, but that was a painful one, I got back all the loss from the initial trade, and a little bit more, but that was a pretty excruciating one to watch. Tesla, Tesla was weak all day, opened up below, you know, in negative territory and just couldn't, couldn't push higher, and so when it came down here under this pivot, I took a little bit of a short position, and it just, it ripped higher, and so I went ahead and bailed on that, took a loss on that one, and then Zoom, let's go to Zoom Zoom, Zoom had this big push higher, it looked like it was going, oh, I'm sorry, I missed, I missed all this first run right here, started to consolidate above this pivot, and I was looking for one more extension higher, but it flushed down and just kind of flushed me out, so I took a loss, obviously had I held, I would have been okay, but we can't trade like that in hindsight, so took a little loss in Zoom. Overall, like I said, plus 198, so I can't complain, like I said, had I, it's about 130 now, had I kind of stayed in the market and seen the strength, I could have caught a pretty decent runner in the NASDAQ or one of these indices and a couple other stocks like Lulu Lemon, but I just, I had to get away from the screens, and so that is what it is, plus 198 on the day. Hope everybody has a good day. Let me know if you have any questions, talk to you soon.


Here everybody, Dr. O here. In this video we're going to cover all the muscles of mastication, mastication meaning chewing. In a 100 level anatomy class I'm usually just going to focus on the temporalis and the masseter, but I do want to explain a couple more that have some pretty critical roles. Let's start with those two. Temporalis muscles you can see here over the temporal bone and the masseter bone, which masseter muscles are that connects the upper and lower jaw, maxilla and mandible. They're both going to be involved in elevating the mandible.   If you want to feel them, I like to put my fingers here and my thumbs to my upper and lower jaw and just clench my teeth and you feel the temporalis and masseter muscles pop out. That's a good way to kind of get a feel for what they do and when they do it. So the temporalis, its primary function is to elevate the mandible. It does also play a role in retraction of the mandible, so bringing the mandible back a little bit. With the temporalis, masseter really just elevates the mandible, extremely powerful, pound for pound, one of the if not the strongest muscle in your body. So that's the temporalis and the masseter. Then we have the buccanator or buccanator, which basically means trumpeter. Its job is to compress the cheek. So if you were blowing into a horned instrument or blowing up a balloon, I guess that would matter, but it's role in mastication. It compresses the cheeks against the teeth when you're chewing. So it makes your teeth way more functional. That's the temporalis, the masseter, and then the buccanator muscle, which you see all those because they're very superficial. But I also want to talk about the medial and lateral pterogoids. So these are going to be deep muscles there and way back in the mouth attached to the sphenoid bone. So their job is going to be primarily to protract the mandible. So to jut the mandible out, so when you're chewing, it isn't just elevation and depression. It's also mandibles moving forward backwards and side to side, which the pterogoids, so they protract the mandible, but also move the mandible medial and laterally. Think about that kind of grinding action that can occur as the mandible goes forward, backward, side to side. So the forward movement and side to side movement, it's the pterogoid muscles. These muscles get super tight in a lot of people that have chronic like TMJ issues. I've had to go in and do a lot of pterogoid massages, you know, you glove up, you make sure they don't bite you and you have to get real deep in there. But it can be a game changer for a lot of people that have TMJ symptoms. So that is the temporalis and masseter, the two primary muscles of mastication. Then we have that buccanator and these pterogoids and the role that they play in chewing, which is elevation of the mandible is closing the mouth, depression of the mandible is opening it. Then we have protraction and retraction moving forward and backwards, and then some gliding side to side as well with chewing. Okay, I hope this helps. Have a wonderful day. Be blessed.


Guided by Truth, Integrity, and Principles. That's how Leonard Edward Reid lived his life. Although Reid passed before I was born, his life's work has and will continue to influence many generations long after him. I'm going to tell you a little bit about Reid, and then I will introduce the award. Reid fought in World War I and built a successful grocery business before dedicating his life to the cause that is so near and dear to all of us here in this room tonight. Advancing Freedom. It was during Reid's time as the head of the LA Chamber of Commerce that he was fighting the New Deal policies that established the welfare and administrative state that we all suffer under today. And it was at this time that Reid recognized the need for an organization to develop and advance a positive moral and philosophical case for individual liberty and limited government. This is how Phi was born. The Leonard Reid Distinguished Alumni Award recognizes the unique professional and personal achievements of a Phi alumnus or alumna who has demonstrated exceptional dedication to the cause of liberty. Someone who like Reid lives his life guided by truth, integrity and principles. It's my distinguished honor tonight to present the award together with my fellow alumni board member Gonzalo Schwartz who will now introduce this year's Alumni Award winner. Thank you very much, Romina.  We're honoring two trendsetters and movement builders in their own right, in Leonard Reid and in Jean-Carlis Baldwin. We just heard about Leonard from Romina, and we're going to tell you some of Jean-Carlis' accomplishment and why he's truly deserving of this award. Like Reid, Jean-Carlis has been a movement builder through his work with different institutions, with UFM in particular, but also with other organizations that he's been associated with in the last few years, like Liberty Fund, the Montpellier Society and API. In all of these endeavors, he has selflessly tried to connect and nurture talented people from all around the world. He started climbing the ladder in the 1990s through different positions until he became president of the university in 2003. I never had the pleasure to personally meet Mr. Manuel Liao, but from what I can tell from other people's stories about him, I believe that he really thought that Jean-Carlo was the true embodiment of everything that Mr. Liao sought in a leader who could continue his legacy at the university. By 2003, when he started, Jean-Carlo was already influencing both the growth and innovation of the university, as well as local policy in Guatemala. Even if, in any of those cases, he wanted to be recognized, he didn't want to be recognized as a true architect of some of the reforms both at the university and at the policy level. Because of the accomplishment, he has been a true trendsetter in the university as one of the main proponents of installing a Wi-Fi system before even U.S. universities had Wi-Fi. He was one of the main architects behind UFM Media, the outstanding online collection of media records that includes content on many of the best stewards and promoters of ideas producing history. He always likes to remark that UFM Media, which is established in 2001, if I'm not mistaken, always came before YouTube as started in 2005. He always likes to make that distinction. He was also one of the main architects of the Antigua Forum, what has been referred to now as an unconference, that brings together reformers, real society, academics and businessmen that interact to produce exciting projects that are then executed back in the participant countries. Other examples of the project he developed at UFM include the Act in Media program, the Startup Cities project, and I think we can go on and on.  The very few times I'd met Giancarlo, he was always kindhearted and he continues to address any of my emails with the utmost respect and humble demeanor as if we were peers when I still have such a long way to go before I can think myself at the same level. As Larry mentioned in the announcement of the award, Giancarlo is courageous, optimistic, tireless, gracious, kindhearted and a determined individual. I think those are the perfect adjectives to describe Giancarlo. I should all be thankful that we have such a talented and inspiring individual in our movement. Unfortunately, he can't be here with us today, but accepting the award on his behalf is the current President of the University of San Francisco, Mario King Gabriel Calzado. Can you direct your attention to our video of Giancarlo? Good evening, ladies and gentlemen. Tears to never read. Tears to you. I have received the kindnesses from my wife, my children, my friends, my colleagues throughout the years and this one in particular is of great significance to me. Leonard Reed has been a personal hero for more than 35 years. I first read about Leonard Reed at the Foundation for Economic Education when visiting University of San Francisco, Mario King a.k.a. the University of Fremont-Catino in the late 1970s. I discovered the Fremont-Bagasin. I read it assiduously. I subscribed to it. So it was thanks to UFM, I was then just a high school student. After playing basketball in the afternoons, I would rush to the San Francisco Mario King for two reasons. My girlfriend was there starting today with my wife for happy 32 years and then I wanted to read Mrs. Azul, The Pathless Powers by the Foundation for Economic Education. I'm standing here inside of the library looking for business. Art, the University of San Francisco, Mario King campus. Education, business has been a figure very important to my intellectual endeavors. And it was through me that the founder of the University of San Francisco, Mario King the line developed a key interest in economics. When I left for Guatemala, he left me early on to study electrical engineering. I took the same name. One of the first things I did there was to subscribe again to the free magazine. And I discovered a very small collection of free books eternally. It takes the same name, library, the Temple of Memorial collection, free collection. Nothing to do with the St. John Templeton, but they had a complete set of free magazines. It was wonderful for me. Eventually my girlfriend became my wife and I brought her up to college section to study as well as Texas A&M. And through the free magazine I learned about a seminar that was that he was going to host in Dallas, Texas. So my wife and I dressed up, drove all the way from college section to Dallas, Texas. And there we had a most wonderful weekend full of ideas. We met John C. Sparks, who at the time was a trustee of fear. Of course, John was charmed by my beautiful wife and I was charmed by the beautiful mission of the Foundation for Economic Education. So receiving this award is, as you can see, very emotional. And I cannot explain to you how happy my family and I are for this award. Before saying, as Tel Aviv's friends, I want you to please take a minute to read this quote from Mrs. Cuban Actual. The quote speaks for itself and I think it speaks loudly of the importance of peace, mission. Thank you. I've received this award for deep gratitude. Happy memories. A great affection. Thank you for the bottom of my heart. Ladies and gentlemen, good evening.