This is what the van life looks like on a Sunday morning just me and my oatmeal Just hanging out my boxers wearing yesterday's t-shirt Sitting on the front steps of Dan the adventure bus Just soaking in the view Beautiful this earth is oh and by the way If you guys haven't been to Utah before These little flies They mean business the flies around here in this area around the Colorado River are Relentless here's what semi organized in road ready looks like got a bunch of crap on the bed dumb trunk is secured things are in the sink The bus is not flying around Nothing on here This thing needs to find a home That's fine there. You got the cable up in the front Shoes are on the front porch I got my a road face on Supposed to sound cooler than that it came out Also a huge thank you to one of my idols long-time idols Andrew Zimmern from bizarre foods for the incredible life slash career advice that was Awesome, and I now have so much clarity right now So on that note, I'm gonna head towards St. George Which is right across the border right into Utah regroup.  In either I did find myself some Wi-Fi at a local coffee place and next door a place to potentially Trim down the mullet a little bit not the actual mullet part, but besides so I'm gonna go on a editing spree right now But I saved you guys the boring part of me actually doing the laundry, but the laundry is done There it is Right there That is everything I dirty not a lot of clothes, but that's almost half my stuff. Yeah Also remember this old thing well, I still have it I watched this as well because This was next to the You know what happened the other day with the poop water. So anyways also my Sleeping bag zipper broke so we're gonna take that back to Walmart. That'll be my third sleeping bag That I've gone through and What else? Yeah, so basically have a few errands to run and Who knows maybe we'll do a little Q&A to Make this video a bit more exciting today turn into errand day. I also got more of these No salt added soups the canned soups Even though organic ones are so salty and if I'm gonna live on this I Can't be putting that much sodium in my body Just because I'm too lazy to cook So these ones have a whopping 2% of your daily sodium and the organic Where am I? Okay, so Remember the Walmart I was in well Here's the Auto Center area and I was reading online that Some very smart person parked overnight here by the Auto Center So that they could access Walmart's Free Wi-Fi. It's also out of you know out of sight So that's good Also today I stopped by and I got another drone battery. This is battery number two So I think two batteries is good my last battery that I gave Nomadic fanatic had I think three batteries But I think I think two is okay, you know one just it wasn't enough I had to charge in between flights over at the Special hot spring which I haven't posted yet which actually the reason why I parked here So I can edit So I'm gonna do that right now, and then we'll play a little We'll play a little game later little Asked Jack's Q&A. I'm sure there's a ton of questions that you guys have And I'd like to address some of those in a video So you guys who might not read the comments or follow me on other social media platforms or Things like that can get answers to some burning questions All right, so as you saw today was a day of many errands and I wanted to do Something a little bit different which I've been meaning to do for quite some time Because there are and have been a lot of questions about how I'm doing exactly what I'm doing here So I Tweeted out and asked Jack's and as well I put it on an Instagram story first question comes from Drake night Does it ever get claustrophobic, and do you feel more connected to people because of your travels? I Haven't yet experienced a claustrophobic feeling Last night for the first time it was really hot in the bus when I was trying to sleep in there and any time I get hot I feel a little antsy Maybe claustrophobic, but otherwise. No, it's pretty spacious in here And I definitely feel more connected to people Because of my travels as you guys have seen I've bumped into many awesome people along the way A lot of people who just come up to me You know because they're so curious what's going on it.  How do you overcome storage issues? Okay, so the restrictions in an isolated area Number one is connectivity with the internet I do rely on the internet a lot and social media for cool locations for mapping directions communications with people Trying to interact as much as possible even though I would give myself an f for interactions on Twitter lately. I'm sorry, but Making videos all day long Takes up all my time and plus I'm driving. So it's like it's just hard. So I apologize and The storage issues I have a lot of like open dead space. It's not completely optimized and that's my fault because I Didn't really realize how much stuff I would actually take with me I thought I would take you know I still have not a lot of stuff, but like you know like a toilet and everything it like it just yeah I'm trying to get little containers to fix some things and I might actually Redo this bed and make it more storage friendly. But next question comes from Brandon Moore What is your favorite thing you learned since you first bought Dan and what has surprised you the most during your travels? The favorite thing I've learned is how to be more hands-on with building and fixing things Even the work I did on the bus like painting it putting these in there I've gained a level of confidence I've never had before with like my hands in building things. I always you know, I took auto shop and wood shop and stuff like that in in you know high school, but You know working on stuff with Chris was fun Musso kind of took the reins and did a lot of his stuff on his own and so that was cool But you know also breaking down places and then having it thrown an alternator in the bus in the parking lot of the auto parts store like that's just Like I'll always know how to put in an alternator. By the way, it's really easy and the thing that surprised me the most Was the cost of diesel and how bad gas mileage it is in the bus I was not anticipating that I thought I was gonna get like closer to 20 miles per gallon because it's a diesel however Having learned that RVs get like eight because they're gasoline I feel pretty good about it, but it's still so expensive Elizabeth Curran What has been some of the more interesting food and sights that you have encountered? What do you learn about Dan? The most interesting food so far was the Indian fry bread in Tucson that was awesome And that was something I didn't even know existed Those Indian tacos and all that stuff was awesome. Dan's pretty reliable just like Uncle Dan and You know, it's This whole experience of living in a vehicle Obviously I travel a lot and I don't stay in one place So I don't get people who Look at me like I'm homeless. I get people who look at me like oh wow. He's adventurous and so I've learned that Not just myself, but other people could benefit by living in a vehicle a Lot of people live paycheck to paycheck a lot of people have a hard time, you know Acquiring savings because life is so expensive.  I feel like a lot of people could get ahead and get out of that cycle Amber says do you find that you talked to yourself? When not filming well, it's funny. I think I've always talked to myself, but I like have like a more Like loud dialogue with myself. It's almost like it's almost like I'm talking to you guys like I'm talking right now It's like I don't even see my camera. I just imagine all of you watching this right now But it's almost like I it's it's almost like there's a Show going like 24-7 or something or like I'm vlogging 24-7. It's really it's crazy It's like just because the camera's not even on I'll still talk as though it's on Ralph. It says how stinky does it get? Well, honestly not very stinky The stinkiest part right now is all the poo and the toilet, but there's so much disinfectant in there That you really can't even smell it so and normally the trunk is closed the dump trunk So not at all young David asks me when am I going to Alaska and Tucson? I'm hoping to get to Alaska at the end of May. I wanted to go sooner because If I could start with Alaska and then head over in the north by the time I hit like New York or something like that would be maybe like September October when it kind of starts to cool down a little bit And if I went back down the other way I just don't think I could have made it back to Alaska before it starts to snow because it snows all the time there All right The schoolie formerly known as Felicia asks what has been the biggest surprise for you out on the road such as Places to park people living in a bus full-time biggest surprise I would say honestly how easy it is like some people like online have talked about like Where's the right place to park? You know like how do how do you find a place like? It kind of blows my mind that people actually pay for a parking like if you don't have an RV And you don't have to have hookups with a power and whatever else you hook up I don't know because I don't have an RV, but like Yeah, you don't need to pay I'm in the parking lot of a Walmart right now next to the auto park Real close enough to get Wi-Fi for free So that is pretty easy you can like there's no if you're going to a big city or Through a big city or something.  Why didn't I live in a van sooner? I was making really good money in Los Angeles as a Bartender and I was blowing money left and right because I was making money left and right So at the end of the month there wasn't a whole lot of savings, you know what I mean had I done it this way I Could have Saved a lot of money that Kevin Fudamachi says Approximately how much did you budget for your adventure would love to consider my own trip, but I just need some pointers Well Kevin I figured out though. I figured that if I had a daily budget of about 50 bucks I could pay for Gas and I could pay for food and that would come out to about $1,500 a month. I used to pay $1,200 a month for rent So I that's why I thought wow I'm already paying so much money a month just to have an apartment if I paid a little bit more than the apartment which was considerably less than what my monthly expenses were I could effectively create daily videos For about 50 bucks a day and if anybody has a film background You know how insanely cheap that is to travel to make videos and to live like room and board so Just depends what you want to do with your project Brittany Lewinsky asks do you get lonely? Is it just you traveling? Do I get lonely? Honestly, not really because I'm always bumping into people You know Like I bumped into people at the Valley of Fire I bump into people at the Walmart. I bump into people at the Anywhere in park, you know people come up all the time and stuff So I have to thank the friendly humans for you know creating conversation I was gonna go and park tonight over close to the RVs and stuff But I wanted Wi-Fi and I wanted a little like Like quiet time because so many people come up, you know, which is awesome, but um, I Just wanted to sleep well tonight will Rivera. When are you coming to the East Coast? Well, will my original plan was to get to the East Coast like Florida by I think like November or December but since I had some things with the bus as you can see the lighting behind me and also I did some engine work and and some other stuff or forgot what but basically I Got a little delayed so then I thought to myself well I'll ask is my number one destination and also the hardest place to get to because of the weather So I thought well if I go in spring and then I can hit the northern states and then pop over there long story short I'm aiming for maybe October on the East Coast and then I'll make my way down and then back around the Midwest kind of Amber Brighoni asks will you be passing through Salt Lake City soon? Amber I am in st. George, Utah right now. I'm gonna be going to Zion Some other places Monument Valley some other places Salt Lake City and then Ogden for a meeting So maybe I'll have an assault like meet-up So you're invited by the way there were more questions Prior to this I just don't have a way to Save all of them besides just answering everything I can either on YouTube or on Instagram So if anybody has additional questions Write them in the comment section of this video and maybe I will do another one the next week And so maybe with YouTube I can have you guys commenting on The video which I can address like the next time I do it and then I can refer back to this one for Questions, but I will of course try to write back to you as well Just in case you didn't get the memo All right, so that concludes it for ask jacks Tomorrow, I think I'm gonna go to Zion, but as you guys probably have learned I don't really know my schedule


Okay, welcome back to VMworld 2011. I'm John Furrier, under siliconangle.com. We're back with my co-host. I'm Dave Vellante of wikibond.org, and we are very pleased to have Rick Jackson, CMO of VMWare on with us. Rick, welcome. Thank you. Good to be here. So Rick, run us through the numbers, big successful show. Second year, we've been here doing theCUBE, which has been a great success, but thank you very much for allowing us to come and do our independent broadcast with the great guests that you guys helped us out with. But give us the numbers. It's a packed house here. What is the official count register? Just walk us through the inside the numbers. Yeah, so great turnout this year. Of course we had an uninvited guest called Irene, which had a little bit of an impact, but we've got over 19,000 attendees, which is fantastic. So we're very pleased with that. Over 250 partners are here sponsoring and showing off their wares at the event. Over 350 unique learning sessions for the attendees themselves. So it's coming together nicely, and I think there's a real positive energy around the event that I've noticed over the last couple of years. What was last year? 14,000? Is that right? Last year was 17,500. 17,000. Okay. So a little, definitely an increase this year. Nice. And I think without Irene, we would have probably hit 20,000. Pat Gelsinger calls it the new tech IT show. So, yeah, obviously the vibe is good. Demographics are fantastic. I'm talking about the theme, because we've been commenting on the show. Some people are talking about, is all the banners up here? People are got their arms crossed, standing up tall, chest out. Is that like, don't mess with me? Or is that like more of confidence? What's the theme for the banners? I got it. Is that the image of IT? Don't mess with me? Well, yeah. Depends what neighborhood you grew up in. But yeah. I think the theme itself, it's your cloud, own it. And really the point that we're trying to get across is that it really is IT's decision on how the cloud should operate. Is it internals and externals? Is it hybrid? What should the controls be? And we really wanted a theme of empowerment. So kind of the cross-arm thing is, is a confidence pose really of, you know what? It's my cloud, I own it. And we want to really show that confidence coming. Okay, so in that theme, do you feel that's where the industry is right now? Hey, we've got VMware behind us. Is that, and you mentioned in your keynote that it's not multiple cloud environment, hybrid, public, and you guys are running this show on a specific infrastructure. Could you share with the audience what that is, that demo you gave with the keynote about the infrastructure? You're running a cloud here? Yeah, so we're actually, this year we're actually doing a full public cloud implementation for all of our labs. Last year we used a hybrid environment, so we actually had a private cloud onsite when we were in San Francisco and then used public cloud infrastructure to extend that. This year we're completely public. This will be the largest labs, lab session that we've ever done. Each year it keeps going up and up and up. We're expecting approximately 200,000 VMs will be provisioned over the course of this week. And it's across three different data centers. One here, one in Texas, and one over in Europe. Was there any surprises that caught you by surprise in a good way or bad way in the show? Anything that stuck out that you didn't see coming? The crowd, the demos, the technology you saw, anything, any particular surprises? Well, you know, there's always things that happen behind the scenes, but we keep them behind the scenes, right? So it's a lot of work to put on an event of this scale. There's a lot of technology that goes on behind the scenes. So a lot of people working very hard to make it all happen. And our job is to make sure that there's no surprises visible. How about like in terms of technology, like demos, or anything that you see that say, hey, wow, I didn't think that would be that big of a hit. Or we thought it would be big, but it's not as big. Any demos or particular products jump out at you? Well, I think, you know, I haven't had the chance to go through solutions exchange yet. That's my afternoon today. I think a lot of people have been very excited about what we were able to show this morning, especially in in-user computing, really putting together that whole vision of what does it look like in that post-PC, post-Windows world, and how is IT able to orchestrate that, manage it, secure it, but in a way that gives end users all the freedom that they need. So I think we got a lot of really good, positive comments and feedback on Steve Herrod's keynote, especially around that in-user computing vision and how it all works together. Because that's kind of what we're missing today, is today the industry is really filled with a lot of point solutions and almost like a hodgepodge of products that, you know, IT has left holding the bag, trying to integrate everything together. We really feel that, you know, the role that VMware will play is to bring all this together into a very common, centralized, secured, managed environment. Makes it easy for IT to be able to do that and move to this post-PC world. At what point did you guys come to the realization that this whole notion of virtual desktop, desktop, virtualization, desktop was not the right nomenclature that it had to move toward, you know, more mobile and end user oriented environment. When did that occur, you know, in your sort of marketing mindset and take us through that a little bit? Yeah, I think the goals of desktop virtualization and our entire strategy are very similar of, you got to be able to pull things into a centrally managed, secured environment. We really can't depend on the end device to be our management and security endpoint. And so, the notion of desktop virtualization makes sense, but to me, you know, when you start looking at things like, you know, we've got a couple of iPads up here, do I want a Windows experience on my iPad? And I think, you know, one of our theories is that mobility isn't about devices. It's about an experience. And so, just because I have a device that's portable doesn't mean I want the same desktop experience on it. I bought this for the experience, not just because it's lightweight and portable. So, when you start thinking through that way, it really comes down to, hey, there's two things that matter. Applications and data. And you got to get those completely separated from the host operating system, from the device, get the applications and data up into that centralized service and deliver those to the experience that the user chooses. Not what you're trying to force on them. So, we've really had this philosophy for a while, but it's just taken a while to get it all together into a comprehensive product solution to be able to deliver that. And what you saw today with both ThinApp Factory, which extracts the Windows applications, wrappers them up and publishes them to the Horizon Application Manager. And then Project Applast, which is taking any application and delivering it to an HTML5 client. That to me is just the real breakthrough. Finally, we're free to actually choose our device, our experience, but get access to what I care about applications and data. The Herod keynote this morning, laid it out, the big vision is the CMO, you must love that, gives you a lot of material to work with. Talk about that a little bit. Well, I always say that I have the best marketing job in the industry because the things that VMware does are there's so much innovation behind it, and then the products are just such high quality, they work. And so it's a pleasure for me to go out and be able to market these products because we have just such a happy customer base, a loyal customer base, as you can see. And so I'd like to say that I work really hard at it. Truth of the matter is it's pretty easy to do marketing for VMware. Well, you're forging new ground.  But you're going into a space and you got an ecosystem. So you got a lot of brand messages, or a lot of messaging, and you got a brand. Can you just take us through your vision of the VMware brand and all the different messages that are key to you, the ecosystem, product? I'll see you got Maritz, who's riveting it on stage, very smart. So how do you piece that all together?  Yeah, that's a really good question. I mean, what's really interesting right now, and we touched on this in both Paul's keynote yesterday and Steve's keynote this morning, is when we think about cloud, we're not just talking about a change to infrastructure or how we deliver things. Really in the industry right now is a whole new perspective going on. We use the very simple diagram and Steve's keynote this morning. We used to think about servers talking to desktops. Now it's about cloud services and how people consume them. And that's such a simple statement, but it really represents a very different perspective on how to even think about IT. And we VMware, we're not doing that alone, right? We're just a part of this. And it really does take the entire ecosystem to make that perspective change, both real, actionable, and consumable. And so that's why you've got so many big brand partners here. And I love the fact that you see a spectrum of types of partners here. The small service guys, the cloud providers, the big hardware guys, and even now you've got the device people, the handset people, LG's a big sponsor here. To me that's like, we've made it. We've got, even the consumer brands are here showing off their technology wear. So this is fantastic. But that's the power of this transformation that's happening in the industry. It is the whole ecosystem is getting around this big change. And so it takes an ecosystem to make that happen. So that's very important to our message to get out. When we go out and we talk about it, sure, we're trying to innovate in the software layer. We're going to constantly be pushing the envelope there. But we need all these partners in this ecosystem to make this vision a reality for our customers. And that's a very important part of the overall message.  I think it was Todd Nielsen shared with us last year, is every dollar spent in VMware licenses that's 11, 12, $13 spent in the ecosystem. Is that something that you actually measure? Yeah. And how is that evolving? Yeah, it's actually, the figure is now $17 for every dollar of software, $17 in the ecosystem. That's between services, hardware, partner solutions, other software solutions, et cetera. And that's why, in many ways, virtualization is not just a market, it's an economy. Because of the amount of money that's being spent on this whole move through virtualization and now to cloud. And the fact that really all aspects of IT are now being touched by this transformation. And those services, you mentioned services, being consumed, also the services business, consulting services, as a rising tide floats all boats. I think that's where there's a tremendous amount of opportunity because as we make this transformation, we also are not only implementing the technology, but we have to think about new ways of managing it, new ways of operating. And so a lot of companies are looking for help on that transformation. You know, do I have the right skill sets? Do I need to change my processes? You know, how do I get the most out of this environment and what do I need to do differently? That is a services play. And so we actually have a system integrator, system outsourcer summit here that's going on this week as well with over 150 executives from system integrators around the world on site here. What day? What day? It actually started on Sunday and I think finished up yesterday. Do you have other summits going on? Is that the main one? We've got a lot of different activities going on. In fact, I was just told there's 70 ancillary events going on during VMworld. So executive summits, partner summits, different types of partner summits. So we have a summit for our cloud providers that are here, it's a lot of different types of events like they're going on. And if you could think of one, it's probably happening somewhere.  Any update on your overall plans for next year? VMworld 2012. I saw some signs, San Francisco. Yeah, it's going to be in San Francisco next year. We have the great problem that we're outgrowing Las Vegas. This is as big as they can hold. And we absolutely anticipate growing again next year in attendance, so we're back in San Francisco. Well, they have the convention center, like CES, right? Soon. That's the next move again. After you outgrow Moscone then we'll come back. Until then, let's hang in San Francisco. So what's your goals for next year? So last year, you told us your goals was to kind of expand and keep the ecosystem one to 15 was the number last year. Now it's up to 17 on the ecosystem. What's your goals for next year for the brand and for VMware? For VMware and VMworld? VMware and your brand and the products of the brand, your vision. Well, I think that a lot of what we're trying to do is really demonstrate the cohesiveness of all three layers of our strategy. Now, we talk about our strategy in terms of the three layers of cloud infrastructure and management, a cloud application platform, and then end user computing. But really the value is when you start to enable these things to really get value from each other. So it's the one plus one equals three. So a lot of what we're trying to do now is make sure that our solutions work well and work well together across the entire stack. And that's kind of a big message that we want to get out there. A lot of the things that we're doing, for example, around the cloud application platform, we're doing them in such a way that you maintain full freedom of choice of where you want to run that application, where you want to run the application platform. But if you're doing it on a VMware virtualized infrastructure, there's things we could take advantage of it in the intelligent infrastructure layer that simplifies the management, creates automatic scaling, memory management, et cetera. So you really do get a more powerful combination. That I think is a lot of the story that we need to start getting out there, because we're so well known for just the infrastructure obviously. We have a very good reputation in market share and end user computing. Cloud application platform is our newest area, really just about 18 months that we've been doing that. But what we really want to do is start talking about how it all works together, because that's what supports that transformation of viewing IT from a different perspective.  So that's what we really got to focus on over the next year. You know, you're saying before you had the best job in marketing, you didn't say the easiest job, you said the best job. What is the hardest part about what you do? Is it juggling all the priorities with this huge ecosystem? Is it prioritizing? What is the hardest challenge that you have from a marketing standpoint? Well, I think the hardest thing is that in our industry, let's face it, marketing has a tendency to over proclaim capabilities and smoosh a lot of words together that sound a lot alike. So really the challenge that we have in marketing these days is how do you stand out from the crowd? Because the one thing I know is that when we're able to meet with customers directly and brief them on what we really have, what we're doing, how it works, et cetera, I have never seen a customer walk away from a briefing without being just floored with what we're able to do for that particular, for their environment. We've got real solutions, tested, tried, intrude out there. We've really brought together a lot of great technology and experience, but when you're marketing that, everybody makes that claim. Everybody says the same thing. You know, as I always tell my team, marketing is cheap. It's easy to copy, you know, if we're doing something successfully, then within three months, all of our competitors will be doing the exact same thing out in the market when they're going to market. So that's to me as the challenge is how do you really break out? And I think the best thing we have going for us and the thing that I'm probably the proudest of is our community. And our community does a lot of the talking. Now, for me, I think our job is to make sure that our community has all the right information, all the up-to-date information and really let the community do your marketing and they do a great job of that. You were thanking the V-Mug heads and your keynote for good reason. I mean, those guys put a lot of effort in and with great passion. How have you evolved the targets, if you will, of your marketing? I mean, it's started with that sort of V-Mug community, you know, that the tech guys were actually using the products, but it's really up-leveled in the last several years, hasn't it? Yes, it has. And as we broaden out our solution portfolio, there's clearly new decision-makers that are involved and that's something that we have to do as well. So that's probably another one of my biggest challenges is we have such strong support from the core base, but now we need to be talking to the application side of the house. We need to be talking to the developers. We need to be talking to security and management people. And then, of course, to be honest, we also need to be elevating what we do in the value proposition so that the executive level is more aware of what VMware can be doing for them as well. So we really, as a company, really grew kind of grass fruits from the bottom in IT up, where people were just taking the stuff off the shelf, trying it out and stalling us that this works great, using it more and more. And we didn't even have executive-level attention in many accounts for quite a long period. It wasn't until the IT admins were saving so much money and getting so much good results out of their virtualization efforts, somebody upstairs finally took notice and said, well, what are you doing down there? We're cooking the books. What's going on? What is that technology? So it's amazing to me is when we do our brand awareness studies that, amongst the executive levels in IT, VMware is not a common brand. Yet every single one of them have VMware in their shop. Actually, I wonder if I have it here, and I'm going to show this later. We did a study in Wikibon. I don't actually have it handy. I'll have to bring it up and maybe show you off camera. But we said, who are the vendors that are in best position to provide cloud computing? And VMware was number one. Now, I guess that's not surprising when you think about it, but it is kind of surprising that they would pop up number one. This is a random sample of about 400 Wikibon end users. And that was impressed. I mean, obviously you saw IBM was up there and Microsoft was in there, but VMware was decidedly eliminated. Yeah, we've seen similar results to that. And for example, at some of the Gardner data center conferences, they do some questions like that as well. And we've popped that at the top of that. That surveys are consistent with what you guys are seeing. Well, Rick, I just want to personally thank you for being a great supporter of theCUBE. Last year was our first event. Eric Nielsen, Tony Dunn backstage helping us out here. I really want to say thank you. We really appreciate it. It's been such a big success. And I know you supported it coming back. I think it's great. I love having you guys here. And I think broadcasting right from the floor where it's all happening.  So thank you guys for participating. Yeah, you're welcome. We appreciate it. Thanks for coming on. Great to see you. Okay, we'll be right back. Rick Jackson, CMO of VMware. Thanks so much, visionary. Explain the banners. He's got a great program here, multi-media. The social media is great. The community is strong. VMware number one in corporate IT shops. But no one knows it yet, but soon they will with this initiative. So Rick, thank you so much for coming on theCUBE.


Hello everyone. It's super nice to have you here today. This is the first time I talk to this amount of people, so I'm kind of nervous and anxious. Thank you for being there for me. This is an amazing experience. Thank you very much. So today I'm going to talk about recommendation engines and how to build one simple recommendation algorithm. But first, if you don't mind, I would like to give you some context about me and also break the ice. So I came from, I come from Brazil with the S actually. I know that you know Brazil with the Z but we write it with the S. We have more than 8,000 square kilometers of extension and it borders like 10 countries. This is huge. But I come from the very south of Brazil. I'll show you. This is in the Rio Grande do Sul. So a little bit about Brazil. Our language is the Portuguese. I don't know if I have another Brazilian here. Oh, nice. Nice to see you. Portuguese have landed a bit more than 500 years ago. We have 30 years of a weak democracy and I don't know if you heard but we kind of are having coup d'etats and coup d'etats all the time. We have unlimited natural wealth. And how are you? Is oi? Tudo bem? Well, so from the very south of Brazil, it's Rio Grande do Sul. We like Churrasco and Timahão. We don't have much of samba. Neither the warm weather actually. We board Argentina and Uruguay.  So we use it very much for agriculture and cattle breeding. Our daily temperature can vary from 28 to 10 degrees in the same day. And the most traditional thing we have in Rio Grande do Sul is erva matiti. It's called chimajão. So this thing in the latest hand is the chimajão. You can see a very huge piece of meat that is being cooked by the fire that is under the ground. So I don't know. I don't know if you have heard about chimajão, but I don't know why. Maybe it's because it has caffeine. Some footballers have been drinking it like the English footballers and Messi. He's Argentinian, right? You know that Brazil's Argentinians have some struggles. And this is Ronaldoinho also drinking the chimajão. He's from Porto Alegre as well. And the curious thing is it's a hot beverage and we drink it on the beach in the hot weather. It doesn't matter. We like it. So this is me. I'm a developer. I'm an economist. I'm doing a master's degree in statistics. So I'm a dating enthusiast. I'm a cat person. And I am addicted to travel. This was me, my first travel, talking about how to deal with the frustration of not having your hypothesis proven as a data scientist. I don't know if I have data science here. But sometimes we spend like days trying to prove a hypothesis. And it doesn't happen like we want. But the thing is that even if it's not a good hypothesis, I mean, it's not accepted. We can gather information of this. So yeah, this was in the human data science. Okay, let's go. What about recommendation system? So the key word for recommendation systems are revenue and customer engagement. What's happened is that we as customers are overloaded with information. So we have a lot of items out there, a lot of movies to watch, a lot of, I don't know, videos. And we don't know what to watch sometimes or we don't know what to buy. Sometimes what is the best for us? So we have a lot of information. This is a very new personalized way of selling, buying, watching and getting to know things. And well, McNeigh said that this, it helps groups of user or users to select items from a crowded item or information space. Well, Amazon, YouTube, Netflix, I mean, there is a lot of others like Udemy, Google, oh my God, almost every website where every e-commerce uses it, but just to bring some examples, Amazon in a quarter, they had almost $13 billion of revenue and this was the first quarter they implemented the recommendation engine and they had $30 billion and it was 30% more than the same quarter of the last year. So for YouTube users and for YouTube, more than 70% of the user consumption come from recommendations. So when you were watching a video and there is another video coming or you go through the feed and there are some videos recommended for you, almost 10% of the consumption of YouTube is about this. And for Netflix, 75% of the consumption comes from recommendation. So we can see it's a very big matter recommendations. So when we need to recommend something, we might be looking for answer to problems, prediction and rating. There is an approach for recommendation that is being used that it has not artificial intelligence that is like, oh, the most sold, the most clicked items that it appears and it can be easily made with a query in the database and showing the user what items have been more sold and everything. But what we want to have is things that the customers are likely to love, are likely to buy, are likely to watch. So we don't need just to predict the rating for an item, but either if they might like it or not. Okay. A little bug there. But how do you get this data, right? So data is the key and we have two kinds of data. I'm saying two kinds because I'm separated that way. I don't know, maybe we have more, even more than we haven't talked about, but we can put everything in these two categories. So implicit data. It's about tracing. It's about the data that the customer didn't give to us like their name or address, but where did they click? What kind of movie they like? And something like this, we can collect this data, right? Big data. And we have the explicit data. This is the more difficult to get because it depends on an action of the user. So answering a survey or rating items. I don't know. I think I have never rated an item. I don't know about you, but it's not common. I mean, thank for the people who rate because I'm always going to the rating, but yeah, I have never. So this is the basic models of recommendation systems with AI, okay? So we have the content-based, the collaborative and the hybrid solutions. I mean, these companies like Amazon, Netflix, YouTube, they are using more hybrid solutions that is very based on the content, but it's very based on the collaborative and has some secrets on the recipe that we don't know. So content-based. The recommendations are based on the description of the item or in the synopsis or in the genre or even in the author. There is an article on the Internet showing that an author had launched a book like in 2010 and the book was not very good sold. That's okay. In 2015, another author launched another book, but the content was very similar to this one that has been launched in 2010. And what happened was that the book that was launched in 2010 started to have a lot of people buying it and the author was like, oh, what's happening? Then tracing it back, they have seen that because of this book that was very similar to the 2010 book, it starts to sell more. So it happened. So content-based recommender systems are born from the idea of using the content of each item for recommending purpose. It avoids the code start recommendation problem. Wait for it. I'm going to talk about it. And content representations are open up to options to be used with different approaches like PNL or text processing techniques, semantic information. It has a whole world of tools to analyze this data. So another one is the collaborative and it's memory-based. Recommendations, so in this case, are based on user-social interaction and rankings provided by other users. This collaborative model is called collaborative filtering and it's divided by user-based and item-based. So let's see this problem. It's Saturday night. I am at home. I open my favorite streaming app and I don't know what to watch. I don't know. But I know my friend Marta, she likes thriller and drama. So do I. Maybe it's a good idea to ask her for a movie recommendation. And this is the truth, okay? Marta is my friend. I didn't know what to watch and I was, oh my God, I'm always like this. I don't know if you believe it, believe in this kind of thing, but I'm demony and I can make decisions. So yeah, I was like, oh my God, what I'm going to watch. So I'm showing you the user-based filtering. This on top is my friend, Henry. He likes orange, grapes, raspberry and banana. Marta likes grapes and Dani likes grapes and banana. Maybe Marta could like orange or banana or raspberry and she never have tasted it. Maybe I can recommend her. But looking at this picture, I can see that Dani is more similar to Henry because she likes more fruits. Maybe Marta just likes grapes. And if she likes more fruits and she's more similar to Henry, maybe I can recommend her oranges and raspberry. Well, but what about the item-based filtering? The thing is, again, Henry likes the same fruits, Marta as well and Dani as well, but if I go and check the items, I see that more people like banana. Maybe I can recommend Marta, a banana. And maybe she likes it. So it has been shown in the market, the collaborative filtering, more accurate than the content-based. It's easy to implement, but sometimes it's not a good idea to implement. We have to keep this in mind. When is not a good idea? When we don't have enough knowledge about the item and the user, so we don't have enough ratings, I don't know nothing about my user. I can't do the math to see with what user or item this user is more similar. So how can I recommend something? And when the item has not been ranked enough. So it's a new item and I don't have any information of this. So a problem, cold start. Cold start, as I have said before and now I will explain, is the expression we use when we don't have much information about the user and would like to recommend something. I think that helps on the cold start is, I don't know if you have Netflix or there are other sites like this, like Pinterest, you go for the first time there, you do your registration and the website asks you to select items that you like more or gems that you like more. So this helps the algorithm to recommend you things and avoid the cold start. So it's parity that is the problem when we don't have much number of ratings and new items because we don't have information. So it's not a good idea when we don't have any information because this collaborative filtering is very based on similarity calculations. So let's build our own recommendation system algorithm. This is, these are the steps to, the basic steps to be, to build the recommendation system. So first we need to call, we might choose how to do the math to find the similarity coefficient between users. Then we have to predict. So we have to find the predicted score for the movies that the user didn't watch and tell. So let the user know what to have predicted to them. So recommend it. So let's go back to my problem. It's Saturday night. I want to watch a movie. I don't know what to do. So maybe I will ask Marta, but may I try another friend? The thing is, I have this database. And as I said, it's true. My friends gave me these ratings. It's good because now we know how similar we are and how to get recommendations. So this is our database. Let me see if I can have a pointer here. Okay. So the wolf of Wall Street, Donnie hasn't watched it. Cool Runnings, I didn't. Babe driver neither. Donnie as well, didn't watch the Cool Runners. Henry didn't watch Babe Driver. And Ulta didn't watch The Lord of the Rings. So let's do the call to choose to see the similarity between us. What I have done here is I have plot a two dimension graph of the wolf of Wall Street and the devil was Prada. And I am seeing how the data is dispersed. So here I can see that Marta gave a three rating for the devil was Prada and three for the wolf of the Wall Street. I gave four and four and Philip gave three for the devil was Prada and four for 50 for the wolf of Wall Street. When I see this graph, and I try to understand who is closer to me because I'm trying to get the similarity here. So when we talk about data similarity is much about where are we together? What data points we share and things like this? So when I want to recommend something to anyone, I really want to recommend to someone that is very similar to me. So I know that this person is going to like it. So thinking about it, I can try to measure the distance. So from Philip, I'm 0.5 distance. And from Ulta, well, this is a triangle. So let's do the hypotenuse during the Pythagorean. So do you remember that from the school? So yeah, we get the distance of this cathedral and this one, then we can doing the square of those summing up and the square root, we get the hypotenuse. So doing this math, I know that I'm 0.721 distance from Ulta. So I'm more distant to Ulta than to Philip. This is the Euclidean distance. This is also a math that is used for the k nearest neighbor. This is a very used algorithm in machine learning. I would just show this formula, but I thought that if I showed you the triangle and the Pythagoras, it will be easier because I don't think people like symbols, characters and numbers, exponential, everything together. So this is just the Pythagoras with summing up everything with all dimensions we have because I have showed you the two-dimensional graph. But if I have a lot of movies, I will have a lot of dimensions. So this is how we are going to make the similarity calculation. So if I do function, similarity, get similar, sorry, I did this, I will show you the code. And it shows that regarding all movies, I'm more similar to Ulta than to everyone else. So let's predict. The prediction is that I have to predict what is going to be my waiting for cool runnings and for the driver, because maybe that's the movie I'm going to see tonight, actually, on Saturday. So here we can see that we don't have much ratings. I mean, like four of those, plus mine, are missing. So what if, like Otavio, that is the most similar to me, like we see here, hadn't waited movies. Let's suppose that we have like 50 movies, not just five. What if a person appreciate a movie that everyone else have low rated it? A solution to this problem is to use the weighted average. So let's go to the Saturday night. What movie should I watch? Pro tip, it's up to us to choose what is the recommendation threshold. We have this method, the deseretic method, that is to get my average rating and just recommend if the prediction is higher than my average rating. So recommendations for me. Here is the the code I have done for the recommendation. This measures the Euclidean distance and multiplies for the similarity for the weighted for the weighted average. So here what happened is, I have put the similarity here, sorry, the predictions we have done, it hasn't predicted the hasn't rated cool runnings. So it's blank. And I have multiplied this to to get the weighted rank. And in the end, we get a prediction for the cool runnings. For example, for me, I would rate cool runnings as 3.6. At least the algorithm says that. And the same thing for Brave Driver, I would rate it as 3.93. So here's the, let me see here. This is the function of the recommendation. And this is the output. So as we have seen, I would recommend more Brave Driver than cool runnings. What does it mean? That I may be recommended with Brave Driver by the algorithm. So I should tell my users what is the predicted. Here, doing the prediction for everyone, I have seen that I would be recommending cool runnings like this, Brave Driver like this, for Danny. These are the predictions. And at the Saturday night, I'm going to see Brave Driver. So problem solved. As I have seen here, my average rating is 3. So these two can be recommended. Maybe in my Netflix or my streaming app, these two is going to appear like, watch it now. Cool runnings and Brave Driver, they have likely to be successful of my good movies. So the code is here if you want to check, if you want to see and see how to make this algorithm. So tiny.cc error python 2019. And thank you very much. I would like to hear a feedback from you. And I'm here if you have any questions. Thank you. Maybe one question here. Thanks for the talk. I'm curious at your company, what products or items are you recommending? Nice. So I'm a data enthusiast. My company is ThoughtWorks. We don't have much work on recommendation. We have been doing some inferences like we have made for a big media company, gender prediction. So when a user enters in the website, is they a male or is a male? What age? And kinds of this. But recommendation, we have done it yet in a project. Thanks. Welcome.


Let me guess you're struggling to make money as a developer You feel like you've been doing everything you need to do to put yourself in a position to make money Maybe even a side hustle work from home Just so if you stay at home mom just to try to get a little money Sitting at your desk at the convenience on the side or something like that and you're just struggling You need a somewhere to go guys in this video we're gonna cover three things that's gonna put you in a position and make the money that you want and Also take the stress level down from you guys so that you can start at square one with no experience as a developer So you reached the right video. 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So that's what we need to do So go down and check out those goodies Last but not least number three This is the one that you guys traditionally think about when you're talking about making money as a programmer online Where you want to make the side hustle and it really come down to projects projects projects If you have the projects you're gonna make money because the only thing you're doing at this point is repeating You're making money with these projects. Hey, I've learned how to do a wordpress website I've learned how to actually do the integration between their wordpress website and their main crm or main system I learned how to do the crm to the accounting system I learned all the different programs that I teach you guys in the seven step guide That's going to allow you to be able to present this on your resume or whatever Communicating with this person. Hey, I've done that Check me out.  You have no projects. 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You don't have to commit all the way You just got to make sure you just put your plan into the effect and put yourself in a position So at the end of the day guys like subscribe to the content If you have additional questions comment below and if you haven't already go check out the seven step guide guys I got links here on my video. So go check that out. I'll see you guys in the next video peace