Good morning everyone and welcome to yet again another vlogmas vlog. I'm like out of foundation So I'm just hoping to God that this stuff matches if you guys are new here, and you have yet to subscribe Be sure to subscribe. Hi. I'm Kinsey nice to meet you Anyways today's vlog. It is Friday I'm going to the studio and today is a get stuff done day And I think I'm gonna decorate my tree and stuff later But all of my friends like Taylor Morgan Alicia everyone is out of town this weekend this weekend. I need to be working on finals I need to be prepping for vlogmas because vlogmas today. It is November 30th vlogmas starts December 1st I had to pre-film a few vlogs because of finals and all that I've got to get that all handled You know anyways, I woke up early this morning and did some last minute Podcast prepping. I'm recording my first episode today, which will be fun guys listen to the episode with Morgan It's really good, and we uploaded it a little bit late So a lot of you guys missed it so you guys should listen to it like a meeting later this vlog Hopefully will just motivate you I need to do all my laundry put that all away I just really have to get it together. You know also guys I'm a secret Facebook group for the I love you so much podcast Which you guys can join too, but you guys should also listen to podcast We've been having some very nice discussions. So join it my favorite power glass. I literally repurchase this like four times I need another one, and it's like I keep buying them, but I mean they don't run out fast It's just that like I use them every day Mm-hmm, and I am obsessed with them, and I'm really obnoxious when it comes to them So I need more also also. I think I'm gonna change. I can't decide like I I feel like wearing a heat-off it but like all my clothes need to be put away So I probably will just wear this we uploaded my first holiday gift guide to my Instagram stories If you guys go to my Instagram Go to the gift guide highlights, and right now we have one under 50, but we're doing so many more There's all these cute gift guides with links and swipe up. So check it out Okay, guys, I'm really excited for blogmas because I can change my vlogs up I say I'm doing like the same thing I always do also. I have two disposables to drop off today Got a big long to-do list having some cousin time tonight decorating the tree It's a whole thing so very excited for that also excited to have a wardrobe back after I put my laundry away because it is out of hand Okay, I decided I'm starving So I'm stopping up a bottle to get some breakfast but what I was in my favorite coffee place in LA Honestly, I like I would say besides Alfred So I have my blue bottle and I got a new Orleans with oatmeal. That's my favorite order from there It's like my favorite coffee ever. I'm in the studio Okay, I'm recording my first solo episode ever. It's gonna come out at the end of this year It's like all the things I've learned this year. I'm so excited But and then I'm recording with my friend sky She's incredibly talented like literally the best person ever very cool. So very excited for that dollars like yeah, it's like Proven himself over and over and over and over again And I will literally recommend him to everyone and that's because when he started He was not cocky about his rates or his hourly's or like what he was doing like He just went for it and now I'm like, yeah, dude. Hey guys We just recorded we just recorded I recorded a solo episode and one with sky I do am I doing an intro an ad still yeah, and I'm gonna record an ad so I'm gonna walk sky out And they record an ad Hey guys listening to that old demi Lovato still Anyways recording was amazing. I was there for a few hours have to go home I have another call like meeting which was actually for I should have just stayed there But whatever going home, and then I'm gonna edit work on school work I've got to get some vlog with stuff done, and I have an old testament like I have a whole research project That's still but here we are it's a really good day guys.  Are you guys gonna get me like not let me know You know also the episode of sky is like one of my favorites. It should be coming out I don't know it but it's one of my favorites keeping out guys join the secret Facebook page Then you'll know more Just had a phone meeting went really really well Now I am just editing in an hour I can go pick up some prints that I had developed, but I'm just editing a bunch of long list long It's not an update you guys. I feel like I'm I'm pumped for this this month. It's gonna be amazing Hey guys, I'm back in my car.  I didn't vlog like literally two hours ago and they're already ready. Oh Shoot. Oh, they're so cute getting Getting um these are so cute Getting photos developed is like my favorite thing ever because it's just so exciting like this is so cute me and Ryan Me on and Joseph like this is so cute This is me my brother on Thanksgiving. He was trying to throw me over Cutest photo I've ever seen This is my mom on Thanksgiving So cute. These are so cute. See it just makes me so happy Okay, never don't let's get me give me disposable cameras. I'm not kidding. It's my favorite thing ever back at my desk getting some work done okay So You guys need some oh, I'm like back at this. I feel like this has happened for me so far guys when I go back No, I'm focused on me. Oh Okay, so I'm back. I actually finished two vlogs today, which is great. I had a really good meeting It was literally an hour long like that's really long For what I was expecting at least I mean it was really great though. Very happy about it My cousin's coming over. We're gonna have like a Christmasy night But I'm just trying to get as much done as I possibly can I literally have the first four days of long It's already ready and like uploaded almost which is absolutely incredible Thank God. Thank God. Thank God. Thank God. Thank God. Thank God. Wow. I need to start Solana So I'm gonna finish this up and then I'll show you guys More I have my first vlogs my first four videos that are growing up for vlogmas Ready, I'm so excited. Obviously these thumbnails aren't done I'm waiting for Molly to send me a little tutorial so I could do something else But I'm so excited I wish I could just post like thumbnails like that honestly, I think they look better, but whatever look he's here It's my cousin Alyssa In cocoa being a little they had a vlog miss. We're gonna eat food. I've gotten so much done today I feel amazing and I just get a bunch of photos and now we're going to get food and then we're gonna decorate the Christmas tree We have new ornaments that came in. It's exciting made it to my favorite Thai food place amazing We made it to dinner and we're so hungry so hungry. Oh my god. Look our food game That's so exciting nothing literally. Yeah, great great great. We got our tofu pad thai Incredible how amazing dumplings all gone so good Hot chocolate Okay, Merry Christmas Hot chocolate number one here. You gotta be careful. It's very hot Well, also, yeah, you have the M for uh man Man, but like the emphasis on the M, you know So beautiful Okay, we have our hot cocoa How cute? We're so cute. Very cute so festive so cute festive Do a leap up we love you girl. So here are my ornaments My filler ornaments like they're not all here yet Just these because I had to get all new ones and these are really cute They're all from Target, but these are all we have to work with tonight Still waiting on another package from Target So we're just gonna make do with what we have just for the time being but a little bit of a bomber, but I Don't know if it's a hanger on right, but these are so cute like Oh, that's not focus like you see how beautiful this ornament is like the black stars Wow That's incredible. Okay. Well, we're gonna have to take this over to the tree. This is beautiful Look at how beautiful the tree looks. It's out of focus. Of course it is it looks incredible guys Okay, well first off. I know the tree itself looks crazy.  She's obsessed. This is where I get it from but queen of Christmas goes to Mel But yeah, do you see how beautiful this is like these actual ornaments all from Target guys?  I love it. I love it So updates to come throughout vlogmas as the tree gets more decorated for the record It is not December 1st yet Just remember so of course this tree has been up since the first week of November But I just haven't done the ornament thing yet because I've been waiting for new ones, but these are beautiful like Wow, I'm never gonna get over this one. Like it's just beautiful. Wow, it's so beautiful Guys look at my boomerang.  I'm not gonna be humbled today. That's not my spirit today I have a spirit of pride. Absolutely. This is beautiful. I'm gonna watch the thank-you next video Doing party thank you guys viewing party. I have not seen it. I came out today Hot chocolate. At noon. This is a big deal. At noon. Yeah, I was like you have to watch this But I was waiting. She waited in three minutes. Go ahead. 25 million views already.  This is everything that you should watch over the next year I wonder how they did this with licensing. Wow, so that was the best thing How my Christmas candles going my Christmas music going just cleaned my room. I Just showered in self tan. It's like 11 on a Friday night It's crazy, and I'm going to work on my final project Hopefully kind of get that wrapped up so I can just like record it tomorrow. I have to like record a speech But anyways, hope you guys enjoyed today's vlogmas tomorrow. It's December 1st Real time for me. So it's gonna be perfect because it's gonna be so festive and all the fun vlogs are coming Good morning everyone Welcome back to another day of vlogmas today is Saturday I woke up at 7 which is so annoying today was like my one day that I could sleep until like 8 30 And I couldn't even do it and every other day when I had to wake up at 7 I want to die So that's awesome. If you guys are new here, be sure to subscribe I'm drinking out of my new merch mug for the I love you so much podcast But either way it's super cute these mugs are like really vibrant and cool in person I feel like you can't really get like a full look at that I self tan last night So I feel a little crazy. It's cuz I haven't showered it off yet. Anyways I am going to just chill do some reading and stuff like that And then I'm gonna get ready and then go get some coffee with a friend I'm meeting a friend at 11 Diane if you guys remember her from vlogs like last year. She's been in a lot of logs actually She's hilarious. She just like we live far from each other So we have to like really try to see each other. What is up with my hair?  I'm not gonna get ready for coffee. I'm just gonna like throw some clothes on but really quickly I wanted to say I get asked all the time to do meet-ups in Dallas when I'm home And I just never do meet-ups, but I want to do a like Dallas coffee date I feel like I love you so much listeners. So in our secret Facebook page We're talking about that making plans and stuff So if you guys live in Dallas or near Dallas come hang out with us It'll be some time of our winter break, but yeah, I'm super excited. I outfit for coffee, jeans, Phyllis, socks, purse, black, black. Okay, that's it. My hoops are in my car. Don't worry. I didn't forget guys, don't you worry. You can do it girly. She always? Oh, hey, hey, let's see it. Jump up. Hey in the car in the car In the car. She literally knows how to do this.  Come on. Come on jump Jump jump. Are you ready? First things first Perfect. Awesome. Get a listen to some Christmas music and be on my way My hair has truly never looked better guys Awesome, awesome. Yeah, that's great Diane say hello to Vlogmas It's been a second. What did you get? I got a cortado. Oh, I got a hot chai. It looks beautiful Heading to crossroads Coco, Diane and I are we thought we'd do a little bit of oh, I forgot to bring glasses So here you grab them back Thank you. The Sun really was getting in my eyes, but um, yeah, we're gonna do a little bit of thrift shopping Ah, love it.  Oh, yeah Yeah, but Joe No way This is I like this Yeah, when they can preach really hot Love this it's a small. I wish it was a little bigger But it's okay, I still I'm gonna buy it. Oh This how long is that gonna be though was it dress? Yeah too long It's like a mini dress. I kind of like that. I'm buying this how much is it? I'm buying it XL, but like it's still it's very cute I'll roll them up. It's fine. It's really okay. Okay, Coco's new owner Diane stealing her Oh, yeah, bye guys. See you later. She's sprinting back to me. Let it be known. She's so clingy.  I really got ready for you today Yeah, I'm kind of offended. You didn't even try to like impress me or anything. You literally rolled out of bed I'm back. I'm gonna do a little haul. Here it is. Okay. I just hope the CVS to get refills on The makeup that I needed I got this true loomi foundation. I've actually really liked this It's definitely my current favorite drugstore foundation to be fair. I haven't used a lot lately This is actually the one I've used but I really do like it and then Got just a brow pencil nothing too crazy. Just picked this up.  It's literally an XL. It's gonna be so long, but it's just this gray sweater I'm just gonna wear it with sneakers. I think it's super cute And then I got this Tommy Hilfiger crew-knock. I love this I wish that this was an XL because I love this stuff when it's an XL, but it's a small But it's fine. It's still cute just like with denim and white sneakers like that's adorable love that look so that's perfect Okay, so I just finished getting ready for the day I have to record a speech for a class for a final and you have to be like ready for the speeches So I just decided to actually get ready. I painted my nails for the first time in like forever I don't think about my nails done since like this summer. I've been on really like I love the like very simple Whatever, but I was watching a vlog and I was done and I was like what else can I do? I'm gonna go to my office I have some emails to do. I'm gonna record this speech.  I cannot wait. Wow.  You just had one. Hi. How are you? Can I just have a grande chestnut praline latte? Actually a tall. I'm trying to not stay up late That's that's it Thank you, I haven't gotten a tall since the fourth grade same I forgot that those exist Well, it's just because I have to be at church at 7 a.m. Tomorrow, and I get to be a church at 7 a.m. Tomorrow And I don't want to be up until 3 a.m. So Oh, why does this keep happening? Thank you Our music I know I will I didn't it's literally from forever 21 Yeah, and I got one last year from private 21 to and I almost all from revolve crazy In sex 300 is your camera. Yes. No, thank you. Thank you Oh Okay, I finally made it to the Grove just getting to the parking structure took so long unbelievable We're walking to meet the girls so beautiful Y'all like what did you just say? Oh, I can't see so everything looks even prettier than it Then it normally you know that's like everyone used to put on their Instagram photos when they would do the white bar So ugly. Thank God. What about that? I say that and like people still do it No, we're literally not gonna be on the trolley we're back home I left so hard that I have like a headache and My like apps like I feel like I got an app workout Let's see if I can set you guys up here So it is Saturday night I have to be at church at like 7 a.m. So I'm gonna try to go to bed fairly soon Feel like I'm like mr.  Do you guys like pick your outfit out? The night before I do that every single day even if I have nothing going on the next day I always have my outfit ready. I feel like that's like So stressful if you don't like I would never That's just a lot. I don't know like waking up and having to decide that too many decisions too early in the morning. So Yeah, the grove was so festive, but it was so freaking busy like oh my gosh way 20 people were there. I finally put away like two-thirds of my laundry still haven't done the rest once no I'm so bad about that. Like that's my one thing. I'm like it'll just sit there It's like not good. Anyways, I hope you guys enjoyed today's vlog subscribe comment all that stuff I'll see you guys tomorrow. I really am loving vlogmas so far guys It's just been good love you guys so much and I'll see you guys in the morning Sign your ex on the line


Run the clip! AHHHHHHH! We all have to change from outdoor to indoor shoes as soon as we enter the school, and no, I've never seen any love note confessions in the shoe cubbies, as these kids clean the school from top to bottom every single day. Girls either have to wear their hair in a bob above their shoulders or in a low pony. Definitely no dyed hair, so no anime protagonists. Oh man, this went viral. Andrew has 15 million views and counting. Of course, everybody knows Japan and America are different for a number of reasons, but why does an American teacher going over to Japan just showing it on video just hit different? Japan always put America to shame as far as the cleanliness and stuff. But anyways guys, we're going to go through a whole bunch of different reactions. We'll respond to them and then we'll give our takeaways at the end. Please hit that like button and give your comment in the comments down below. Let's get into it. Yeah, first comment was like, man, I'm in the Navy. I'm stationed in Japan. I had the choice to send my kids to American score Japanese school, send Japan man. They got better discipline. The American kids, they're just coddled. They get effort awards. The teachers are distracted. I don't like it. Yeah. And then somebody said, yeah, man, you know, my friend's a teacher in America and it was so crazy. There was a fight the other day and Taser was used. And then they investigated one of the kids and they found a gun in his backpack. Yeah, an extreme example. But honestly, that is totally statistically possible in America. Another funny comment was like, yeah, in American schools, you see like poop on the ceiling. Yeah. So then in American school, if the kids had to clean up after themselves, I think that would prevent them from throwing poop on the ceiling. I'm sure it's happened. I've seen stuff in my public school lifetime.  Obviously it depends on what tier of public school you go to. Somebody said teachers get treated badly in Japan and Asia. In general, the teacher occupies a much higher position in society. And in America, they get treated worse than a fast food worker. Here's my take guys. I think that there's so many new jobs in America and there's so many different ways to make money that being a public school teacher has definitely fallen down on the ranks. You know, I think a lot of the talented people go into finance, entertainment, corporate. Hey, even myself, I almost did teach for America way back in the day for two years. I almost I interviewed for it, but then I went into entertainment and YouTube. Yeah, I would say anecdotally Andrew, our parents and especially mom was like really into giving good gifts to our teachers growing up because it was like it is more revered seriously. Somebody said, you know, we take off our shoes in Quebec too. And basically there was some other comments from around the world. You know, Germany in particular Germany, Andrew, that's like the Japan of Europe. They were like, yeah, like our school system is not as loose as America. It's not straight as Japan, but honestly, it's like somewhere in the middle. Solid German accent, David. Somebody said, of course, man, the Japanese, the land of the Samurai, the land of the rising sun. We may have been enemies in the past, but I must say in this day, modern day and age, it is a race to be proud of. And you know what, that is oftentimes a super, super extreme right wing talking point that is trying to make the case for a more discriminative and racist society basically because they're like, well, Japan's homogenous. Look at how they run things. You need the population to be just one thing. Right. And I think everybody knows what they're talking about. But of course, the takeaway that you're having from it could totally be problematic. I noticed on the left, Andrew, everybody knows Japan is very orderly and it's very homogenous, right? But where you take it is up to you. I would say Democrats tend to more focus on the pop culture. They like the Harajuku things. They might like the food culture. They might like the animes coming from Japan. Yeah. And then someone said, well, you know, actually the schools aren't too bad in America. I mean, we have some really good private schools, but maybe the public schools need some help. Yeah. Someone said, you know, the public schools, they're not exactly the place where you're going to find the go getters of society. Man, it's kind of unfortunate that it is that way. I don't know if that's true. I think there's some really good public schools. I think there's some really bad private schools. But I will say that it is true that in public school, they seem more concerned with like teaching you whatever their agenda is rather than turning you into the most effective person and navigate modern life. I'm not saying for all it just, I would agree that public school education in America needs some big reform. Right. Also, a lot of people were just saying, hey, man, you know, the truth is there's just a huge variance in America. Guys, we have some of the greatest colleges, some of the greatest universities in the world. Everybody wants to go to them, right? But then you can go into any particular inner city and go to those schools and they look, they're in bad shape. Yeah. I mean, if you guys don't know by now, and I really, I wouldn't even debate this with anybody. America is just a country where they let you have really, really nice things and have let you have really, really, really not nice things. It's just the way we set things up here. Somebody said, I am kind of sick of Japan being fetishized. You fetishize our normal school routine. Then you fetishize our Harajuku culture. Every aspect, I'm not really offended, but it's kind of weird to me. Yeah, I could see that. I mean, considering that America fetishizes Japan so much, we can't be more like Japan. I mean, no, it's just something we must fetishize from afar. Literally. Never for me, but I would like to watch it. Every single American can point at something in Japan that they like. And I'm not just talking about Japanese girls. I'm saying everything from anime to entertainment to the art to the organization. But then they're like, well, would you like some of the rules that help create a society like that, guys?   I just want a Japanese tiger parent.  The fetish goes both ways. Yeah, it goes both ways. Someone said, hey man, Japan isn't all great. Think about the downsides too. They got the suicide rate, the atrocities, the declining population. And not to mention that, they don't even teach their kids about the atrocities because they don't want them to feel bad. Maybe we should stop teaching our kids about the bad things, but I want them to teach the bad things because the bad things happen. I don't even know what I feel anymore. Well, and not to mention, Asians are essentially just strict robots and they're not creative. So how could they be innovative like America? That's another comment. Yeah, of course that is more of a boomer comment.  But I'm just saying we took them to another place mentally. Yeah, and then there's just comments overall. And I think most people agree like, man, I just wish parts of America could be like this. Yeah, why can't we clean up the World Cup stadium after we have our matches? Japan sets just such a good example for the world.  Those were great times.  They had trucks. I mean, that's all I need. Once the hippie Woodstock people got a hold of the liberal education system, everything just was a slow downhill from there. And now it's accelerating. Now the downhill is getting steeper. It was a slow downhill. Now it's a steep downhill. Well, I'm sorry, sir, but building a time machine is not going to be a viable option. So let's get into our takeaways, Andrew. Who is to blame? Like I said, guys, by the way, I'll address that last comment.  And that was like all the technological advances and stuff like that. And obviously 1970, Andrew, I'm sure it was much greater for some groups of people in America than it was for others to be fair. But I guess who is to blame, right? If people are looking at a messy American school where people are putting all the work on the janitor and they're not listening to the teacher and they're fighting in the hallways and they're looking at a Japanese school, which to be fair, guys, really have none of those things. Who's to blame? Is it the society? Is it the parents? Is it the timeline? How come Japan gets to be frozen with the good in the old 1950s and 60s morals, but America's like headed toward post Armageddon? You know, one comment put it very succinctly. They said, hey, sorry, guys, but culture takes hundreds of years to change. I think the best thing America can do right now is accept that they're running a completely different schematic system the whole motherboard looks complete. The game, the game is completely different than Japan, but maybe you could implement some things, right? And you could like beta test them on a smaller scale, see if the population would take up with them and see if you could implement them more and more. Maybe. I mean, out of all the schools in America, why can't you run some schools like Japanese schools? I'm not saying teach them Japanese, but you teach them how to operate and live like Japanese people at least when they come to school, right? So they're going to do some cleaning. They got the indoor outdoor shoes. They have to be respectful. The school is super strict. So what if you try this out, you gather the data and then you, it's a proof of concept. You can bring it up to the higher ups, you know, the government and present it to them and be like, hey, maybe we should have more schools like this. American when you're trying to be cool, but you're Japanese at school. Yeah. Anyway, guys, let us know what you think in the comment section below. Obviously, the societies are completely different. The whole structure is completely different. Everything. There's like a thousand things that are different. I think my major takeaway, Andrew, is that America is sort of like an ice cream shop that has like 200 flavors. And 70% of the flavors are like not very good. And they're 70% of flavors that are good, but not great. And there's 70 flavors that are great. But the crazy thing about America is the great flavors are like more expensive. Whereas Japan might be like an ice cream shop that only has like 30 flavors, but they're all like pretty good to great. That's a good takeaway. You know what I just wish people would do if they fetishize Japan is really look into Japan, really get to know it before you just fetishize all the sensational stuff, right? Whether it's the pervs that are sniffing panties, or it's the disciplined Japanese school kids, or it's the baseball systems. You're saying all these things are actually all anecdotal. Yeah. No, and everybody's only just seeing these headlines from Japan, but really get to know Japanese culture and delve into it. And then you understand it better. And then you'll actually realize what you can take from it and learn from it.  Oh, I want that. Oh, now Japan's weird. Well, I wouldn't do that if I was Japan. But I'm like, but if you just, I have to actually understand the whole holistic society. And then you can be like, well, okay, maybe we could do this. What if you get the orderly schools and the self-sufficiency and the independence and the lack of violence, but you have to eat the live octopus? I don't know, guys. You let us know in the comments down below what you think about all this. Please leave a comment about like, what types of things, what kind of creative ideas do you have that America could potentially implement? Like in a reasonable manner, in the school systems out here, what would help? Is it just paying teachers more? I don't know because that conversation has been going on for decades, to be honest. But anyways, guys, let us know in the comments down below. Thank you so much for watching. You know the hot pot boys, from frivolous to serious to even delicious. We talking about it all. Hit that like button until next time. We out. Peace.


Live from the Sands Convention Center, Las Vegas, Nevada, extracting the signal from the noise. It's theCUBE, covering HP Discover 2015, brought to you by HP. And now your hosts, Dave Vellante and Jeff Frick. Hi everybody, Jeff Frick and I are back. This is Dave Vellante and we're winding down the marathon day two coverage of HP Discover 2015. Watching the transformation of HP, a big part of that transformation must be, I've been saying this for a while, the software group, Jerome Labatt is here, he's the CTO of HP software. Jerome, welcome back, good to see you again. Thank you very much for having me here. Yeah, so what's new in HP software? What's going on? Well, what we've seen this year, especially at the Discover show today, is evolution in the transformation, moving from just offering technology services in IT to really transforming the business of IT and moving forward where I'm closer to my business and starting to offer capabilities to my business in such a way that it's self-service, it's efficient, it's agile, it's right when I need it in essence. So talk about HP software strategy. I've said that, again, there's any transformation, software has to be involved. Mark Andreessen says software is eating the world. How would you summarize HP software strategy? Well, we've been working so far on anything that had to do with automation, transformation of data center, automation of data center, automation of engineering processes. We are now looking at data and big data on a way to provide insight and solving the existing job of IT in a new way. So think about the predictive enterprise going forward where data and deep insight are going to allow us to resolve problems faster, connect dots that we were not able to connect in the past. So we've been talking a lot about and we sort of stole it from Jeffrey Moore. Systems of record, systems of engagement, and now overlaying systems of intelligence. What seems to us, which this is not stealing from him, seems to our observation is that whereas before those systems of record and systems of engagement seem to be somewhat separate, we see systems of intelligence bringing those together, acting upon data, bringing transaction and analytic data together and trying to affect outcomes before you lose the customer in real time. So my question to you is that scenario seem plausible to you or is that something that you guys are working on? Let me start there. Oh absolutely, so you really have three categories of information or data. You have your traditional system of record data like we talked about. There is also the machine data, everything that has to come out of the logs and everything else. And then what we call the human information data or the social information. And bringing those three together is starting to allow you to change how you do the job of IT. So for example, the social information will tell you that your application is down before even your system of records will tell you your application is down. You know, my kid will tweet before it's, I know that my app is down because they can't access it. What do you call that? Do you call that machine data? It's a combination of machine and social data. It's really the human information because at that point there's no machine. It's your user, your end user is so connected to your application that it can tell you and trigger an alert. So does, how important is it? So HP doesn't own, so to speak, the system of record. That's not, I've never been in your business. System of engagement, not so much either. Do you need to have a stronger presence in those to be a player in that systems of intelligence? Or is it an advantage for you that you're not bogged down in those? I wonder if you can comment. We're not bogged down. So that's actually a key advantage. And what we do is we have the engines that are going to allow you to get there. So think about the vertical, the idle technology from the autonomy acquisition. We can bring those things together and completely change the game. I can now dynamically re-encapsulate information that would sit in my data lake, like a Hadoop Lake for example, where I had no idea that this information were there and using my tools, my engine, I can start to formulate insight that was invisible to me before. Clickable to security jobs, clickable to operation jobs, new ways of even asking and connecting to our customers. Yeah, okay. And another big part of your strategy is Haven. We heard Robert Young-Jong's talk a little bit about Haven. Yesterday up on stage, we had Colin Mahoney on. Of course, Colin talks a lot about Haven. It's fundamental to his business. So you were obviously involved in putting that together. Where are we at with the Haven journey and where is it headed? What's fundamental to the strategy of software is the underpinning of the new way of solving those new jobs. So if you think about log analytics, for example, a new way to look at our operations and transforming how we do monitoring of our systems, it's using the core engines of Havens. It's using the Haven architecture to do that. If you look at our new service management technology or service anywhere, the new way of ticketless IT is actually enabled using the Haven technologies. So how do you look at your portfolio? Again, I come back to the strategy because I have to say, sometimes I'm unclear on HP software. I get what you're saying about what we're calling systems of intelligence. That's clear. And the vertical and autonomy pieces combined with your security makes sense to us. You've got other parts of the portfolio. There's IT service management pieces and other sort of automation pieces that may or may not fit in in my head. So I wonder if you could help us sort of rationalize that, square that circle. Sure, I mean if you want to simplify the job of IT at the end of the day is to fund the new going forward and help the business and be a partner to the business to enable this new digital experience. First thing first is I need to bring efficiencies to my data center. So I need to bring that cost down. How do I do that? Automation. Second step is once I have automated all those tasks, what can I do? Well, I can enable new processes. So think about DevOps or more efficiencies. Think about this tactic, ticket plus IT. So this is all about orchestration. So I take all those automated tasks and I start to orchestrate them and create those new processes. More efficiencies, more ROI. And the final step is this transformation step where I'm taking in all this work that you've done with automating those processes and start to transform the business of IT itself. I've become a self-service type of organization. I allow my users to connect to me in a self-service fashion. I can now be a service broker and I can allow my users to come and select the services they need at the time of the need and they pay per use. So the new business model, a new way to deliver my services more reliable, more accurate, more secure. Choosing a public offering, private offerings. It's really about IT and governance at this point in terms of the service they want to deliver. So automate, orchestrate, transform is really the key. And you do that for infrastructure, you do that for applications, you do that for IT services and business processes. So that's sort of hardcore, I was going to say infrastructure but it's more than infrastructure software but it's operational software. Absolutely, it's the core of what we've been doing for so many years. So HP software focused on that operational piece. I get that, it is the core of what you've been doing. And I would even, I would put the security piece in there as well, it's fundamental. But then all of a sudden this big data thing comes in, you acquire Vertica, that doesn't fit so nicely in that part of the world. It opens up a whole new opportunity for you. It's actually very, it's actually very complimentary because if you think about how you can leverage now this new insight and new capability and literally change the game, I mean think about operations and bringing security and operations together in a different way. Yeah, I could see that. Okay, so in that example, using for instance Vertica technology, maybe autonomy as well to sort of predict intrusions or predict who's gotten in with bad guys when they get in, they don't want to tell you anymore. I can use that with support services. I can use that intelligence control and what you're doing in your cloud environment. You know, how are your engineer performing? Looking at your test suites and using analytics to think about what can I do to improve the quality of this product going forward. I have all this information in my defect center. I have all this information in my call center. What if I were to bring them together and start to look at my bills and then bring all this information together and now I can start to potentially look at analytics to help me predict the quality of my deliverables from an engineering perspective. So really changing, you know, looking at traditional jobs but you can get analytics to solve those jobs in a new way, in a faster way, more efficient way. We heard today about, I want to ask you about open source and we heard today about Gromit. Sure. I tweeted out, it's the first time I've seen an open source project announced in a video with three guys high-fiving. But Gromit, that's interesting. Let me start with open source. So, open stack, obviously, HP's all in an open stack. I think in the last several years, that's five years really, has HP started to play a much bigger role both internally and externally in open source. Is that fair? Absolutely, and we're looking at open source as a way to accelerate even some of our work. In some cases, we're actually contributing back. So if you look at an open source project called Cloud Slang, what we've done is we've taken an operation orchestration enterprise product and took a little bit out, task allocation and engine allocation and actually created an open source project out of that. And it's called Cloud Slang today. And we felt that it was filling a gap in the orchestration set of projects that you have out there. Other projects we have ongoing internal where we have engineers accelerating our fuel system. Well, we have this thing called Verigreen and we put it out under the Eclipse Foundation and it's just an open source project. And what it does, it pre-builds your code and it stops the commit to go in to destruct your next build. And we improve our build cycle by 35% in terms of quality of release. Just, and we contributed those back. So we use open source, we contribute back and it's really a strategic initiative from that perspective. And it seems like it's relatively new, let's say, last five years. Is that unfair? Is that a misperception? I think from an HP perspective, it always has been there. Like Martin mentioned today, it's been out there. But I don't think the attention of the communities and the different domains where you have open source activity coming in are, we're not paying as much attention as we are now. Sometimes I get confused in the organization. So like Paz, where does Paz fit? Well, obviously Cloud Foundry. Part of the cloud group, part of the software group. Yes. Well, it's another tool in your tool belt to build applications. And so if you think about Paz in the Cloud Foundry sense, I'm going to call those A-Paz or Application Paz, a new way of doing platforms. Because you still have today in your traditional 3D application, a Paz service. It's just monolithic, you have a cache service, you have a database service. In the new world, you have new abstract ways of managing and controlling those A-Paz or those new services that you want. So you code to the Paz layer to an API. But in the traditional world, you still have to build a Paz. So there's a debate right now on how do I transform my applications from where I am today to this new Paz world? Do I need to do that? And what about containers? How are containers going to allow me to transition from one to the other? When Meg Whitman took over, I was at an endless meeting and I had an opportunity to speak with her and ask the question, R&D, acquisitions, what's a better use of your dollars and systems? No acquisitions for a while until we pay down that debt. And that's happened.  What can you say about M&A? Obviously a lot of opportunities out there, you must be in the heart of evaluating opportunities. What's the strategy with regard to M&A? Well, I think the recent acquisition of Voltage, for example, was a very tactical acquisition to help and support our security portfolio. So where assets are going to be warranted, we're going to be looking into what's happening outside. On the other hand, you have assets like Heaven that we can really leverage and work on, so it's a combination. Yeah, but it is a combination and we feel very strongly that you've got to have a combination of organic and acquisition in this world. But for a couple of years there, we were kind of hamstrung, so you must be excited now to be able to go out and evaluate other companies. Well, that's definitely a play going forward in the heart. Are we looking at a portfolio? I know new opportunities, it's very exciting. So what's your take on what's going on with Hadoop? There's a lot of discussions around the evolution of Hadoop, it's becoming real time. Some people have said, Hadoop's over. It's dead, Colin laughed at that. He said, no, no, not at all. Hadoop is a fundamental part of our strategy and we think customer strategy going forward. Maybe talk about that. Hadoop, the big data theme, what's your take on all that? Well, every customer I talk to today have a Hadoop project in play on many, and some of them will be science projects, some of them are actually real project in delivering value to the business. And so it's complementary to what we're doing is actually the foundation of what we would see a data like. And as a result of that, we embrace it. So you're going to have multi-distribution, multiple types of distribution of the Hadoop system, the ecosystem, but we have capabilities and technologies that are going to be sitting on top of the data lake and providing even deeper insight, more capability out of that. So we see it as a value add, as actually our assets are complementary to these capabilities. What's your biggest challenge as the CTO of software and HP? It's not a technology. Biggest challenge is actually transformational and getting the people to wanting to move forward and sometime accepting that new technology is awesome but you have to also build from the core. And that is a transformation journey itself. You know, I can go agile, I can have all the mechanics and all the tools for agile, but if I don't have a belief system, they're behind it to help me move forward, then I need the people to be there. I need the processes to be there. And is that a statement about HP internally, about your customers or both? Well, it's a bit of both. As you go forward, you have your own internal IT transformation, we're going through some split today. There's customers that are now talking. I mean, one of the great things is discover, is I can see customer talking about transformation. So we're no longer talking about, you know, switching a nog or technology here and there. It's how can I get my own customer adopting my own automation, my own orchestration? The solution I'm delivering as a service internally, how do I accelerate that uptake? So it's a very, I think we just passed, you know, a chasm in terms of what does this mean for IT to get back at the business partnership? So you're sort of saying technology's not the hard part. It's the other pieces that are the hard part. It's a technology is complex, but if you don't have the right set of people and the processes, technology is there to help you in that transformation. But without a mindset, without a transformation mindset, you're willing to move forward. It's going to be difficult. We always like to ask CTOs, like, what's exciting you?   What's exciting you as a technologist? I think the, what I'm going to call the new class of applications that we don't quite understand yet is what can I do with all this information? This is in line treatment of the data and really change the game in terms of how my applications are going to behave. So it's almost like, think about at the network level where I have, you know, IP transaction, point to point transactions. Like, can I take data and information and in this, insert my logic within shaping the data as I go through? So my application is no longer a set of components that are processing information on the edge. They're actually component that are processing information in flight and I can self, you know, organizing as you go forward. So it's a very different way to look at application structures and services going forward. All right, Jerome, well, listen, thanks very much for coming back on theCUBE and sharing your insights, perspectives, and it's great, it's exciting times at HP, exciting times in the industry. Thank you very much. All right. Okay, keep right there, everybody will be back right after this brief break. This is theCUBE.


ThinkTek Hawaii, civil engagement lives here. Hey, hello, and welcome to Stand the Energy Man here on ThinkTek Hawaii, where civil engagement does matter. In fact, what I'm trying to do with this program is just put ideas out there that I think will help Hawaii, or at least try and gather ideas from really smart people that I think will help Hawaii move forward in clean energy and clean transportation, because I think that's the right thing to do. So anyway, I'm going to start off by talking a little bit about my checkered past in a previous life when I was in uniform, and an experience I had at U.S. Pacific Command. It just so happened that I was around during the time that Japan experienced their earthquake and tsunami, and believe it was 2011, March, about this time. In fact, I remember it was on my birthday, and that tsunami caused damage, and the earthquake caused damage to a major nuclear power plant, where they're Daiichi Fukushima. My job at Paycom at the time was to work with the J3 and the nuclear engineers to figure out when we would evacuate American citizens from Japan based on a degradation of that power plant. So I learned a lot more about nuclear power plants than I ever wanted to or ever intended to, but it stuck with me, and it obviously made an impact on a lot of people's opinions of nuclear power, especially the folks in Japan, because now they're looking at shutting down all their nuclear power plants and going with more renewable and clean energy. They're not quite there yet, but they're getting there, and that's what we'd like to start off our talk with today. This is the third Friday of the month, so I've got my favorite guest here, my favorite electrical engineer, Ryan Wolbins. Hey, Sam. Ryan, thanks for being here. Yeah. So I'd like to stop by talking a little bit about what Japan's doing to improve their clean power and get away from the nuclear power plants. So from your experience and your reading, how are they doing, where are they headed? Sure. So a lot of different news has actually come up recently on this same topic, because we just got past the Olympics, and Japan is due up on the Olympics now in 2020. And so they're initiatives where we saw some of the robotic initiatives coming from Pyeongchang. Japan's starting to say, hey, we're kind of the hydrogen guys. We've got this new initiative. So one of the things Japan's come out to say, along with their great car manufacturing that goes on there, was we're going to switch from petrol-fueled cars, and we're going to make a big fuel cell push and go hydrogen. When they made that decision, that's going to cut down on one of their largest emitters on Island. So they make that decision. It just completely shifts the whole market for fuel cell cars, especially for Japan. They have to come up with that hydrogen somehow. They're likely using Reformation and LNG to make it, which still produces carbon from that standpoint. But from their standpoint, it's a lot less. It's cutting it. I don't know the exact figure, but let's say it's half. They're saying, hey, if we take this and just switch to hydrogen made this way, boom, we just took out a huge chunk of our emissions. Now that's on the energy side for transportation, but it's a great step, and it allows them to go on other steps because they have hydrogen, as we've talked about a lot of times, and the different ways to make it, and it can be a completely renewable resource. So they have done that on the transportation side. They still are a large importer of energy, just like Hawaii is today, with where they're geographically located, a less sun than we're getting here, makes it tough for them. Nuclear was something like 30% of their generation. And they come out and say, we need to change this, change a third. That's a huge number to just come out and say, we're going to change. And then right behind that, say they're going to change the fuel source of the vehicles. I mean, massive changes being made, what I would say very quickly and efficiently at the same time, are pretty big. So they're going to be more of an LNG hub of the Pacific. They can pull that off very well being where they're located, and that's where I think they're headed with it, but there's plenty of smart people over there running that. Do you think they have enough geothermal there to possibly use geothermal for their initial generation to make the hydrogen with electrolysis rather than steam reforming? Yeah. There are a lot of investigations to where they can use geothermal right now. I was just reading this week about how many sites there were. I wanted to say it was in the dozens, like not quite a hundred or maybe it was a couple hundred. But it was a lot of sites that they're investigating for that. Not sure where they're at with point it, but if you have that many that you're interested in, yeah, I think there's a great potential for them to pull on that. Okay. And just like Japan, and I mentioned the Daiichi Fukushima and that earthquake in Sadami, we've had some of the recent disasters in the Atlantic side in Puerto Rico, Virgin Islands, that have kind of laid out some opportunities as well. So what's your impression of the situation after two major hurricanes hit that region, the survivability and the recovery? Just your general impressions on how we can improve upon that or maybe how we should be looking at different systems to make that a stronger, a stronger technical recovery on the electric grid side. Sure. The Gulf Coast and Puerto Rico are also great examples of where we sit with our energy resources and then how they react to natural disasters, just like what happened in Japan, just in a different mindset. So when we look at a place like Puerto Rico, unfortunately there are things we could have looked at it a couple years ago and said, yeah, that could happen, absolutely. And we're in that spot today in Hawaii. We can say some of these, what would sound like lofty, you know, it doesn't make sense claims, but we could have done this with Puerto Rico and say, yeah, Hurricane, could wipe you guys out for a long time. I think Puerto Rico today is at 80, 85% back online. They're hoping to get back on 100% by May, which is a really long time to be without power. It's months. It's been months and months. Crazy long time. So what we learned from them, you know, they're not a renewable grid before this happened. And there's a lot of push to try and redesign that and be resilient tomorrow as it's being rebuilt. Now there's a thing with being speedy with getting back up. That's the cause of going not 100% renewable in the next thing. But what we learned from Puerto Rico is where they got their power and the time that they needed it was immediately solar because it couldn't bring the ships in to bring the diesel and to bring up the instant generation. Some of that was turning on, but where people started building their own little micro grids, it was based off of solar with the caveat of if the solar even survived the storm, because a lot of the solar just got ripped apart into shreds. So you had to be survivable on the solar piece as well. So some of these people had solar and car batteries and the time up making little micro grids. So what we can learn from that is just solar with just even that battery as some people are going to put in big solar battery systems there, when the natural disaster happens, that battery is giving you probably the next day's power, not the next months and months of power. When that disaster happens and that battery runs out, the support comes in to help you out, the external support. That's a battery and a bunch of shredded apart solar panels, that's not going to, we can't plug into any of those. We had to bring our generators there to power it back up. What we can learn from that is that, well, that's not working. Go to the Gulf Coast and find out what did work there. That was the underground pipelines. Where power was restored first or even was on the whole time was the natural gas pipelines that were being sourced somewhere else pushing energy as a fuel underground that was untouched by the natural disaster to the micro grids, which a lot of different ways to turn natural gas into power. Learn from those disasters, your fuel, transportable fuel was the key to keeping those up, as well as a resilient design against natural disasters. You know, we don't need just to cover the brown out, we're talking days and weeks, and Hawaii still has the chance of hurricane sitting in certain directions. I mean, not to advertise your company or anything, but hasn't Berns and McDonald done some micro grid work with hospitals using natural gas to network and keep the emergency rooms and hospitals up? Yeah, absolutely. And in the Houston area, we have a hospital that has a very large micro grid in that that stayed up the whole time. So it's not like, you know, theoretically you're talking, it's actually you've seen it happen with one of the systems that you folks have built. So it's more than just theory, it actually works. So I don't know if Puerto Rico has much of a natural gas pipeline system. We have a fairly large one here in Honolulu. That's why Hawaii gas is a regulated utility is because they have pipelines, high pressure and low pressure running all away from Campbell Nostro Park to downtown and then networking out into the communities with gas lines for like restaurants and things like that. So we actually have some of that infrastructure in as survivable. And then the other vulnerable piece seems to be just the overhead wiring. And I know it's expensive to put wires underground, especially after the fact rather than when you're designing a community or building a community. So what are the relative costs of underground wiring and utility versus above ground? It is, it's hard to just say that there's a one for one or a ratio, a higher is the easiest and safest place to say. But it's significant and it's coming down constantly. So I don't want to put a different multiplier on there right now. It's true, but I mean compared to what it costs to replace it after a disaster. It's probably actually you're well ahead of the game. It's just the upfront cost that seems a little bit more. And so, and that's where I've tried on some of my shows to say we need to do a little bit more critical thinking and not just go the first thing in your sights is meet this goal, but forget that there's second, third, fourth order effects that could cost you a lot more if you don't take them into account first. So maybe you can make that 20% or 30% more investment up front and survive the next big disaster. It's definitely an investment to consider for the long term and an investment against really natural disasters. There's other problems that a lot of people just want to put them underground because it's visually not attractive. And I would agree. I mean, I like electrical engineering and power cables and all that, but I'd rather them be underground and maintaining. Some island nations keep them above ground so that they can put them back up really quickly. This is all different thinking that's happened over the last called even 80 years of how we go about creating distribution. We do have the ability to put our underground at a higher cost and still be at a high rate of reliability depending on how we build it. It's just people don't like the cost, but yeah, it is absolutely possible. And from my standpoint, I recommend it where we can as much as possible. I know that in Europe, they're doing a lot of power to gas and using the gas pipelines to move hydrogen and rich natural gas around the continent over there for transportation and for grid movement because they have a lot of curtailed power basically from the North Sea where they're producing a lot of electricity all the time and they can't use it all where they're at. So they're shipping it. But they're shipping it in hydrogen in a gas pipeline. What are your thoughts on that kind of concept? That's really neat. I'm not that familiar with what's happening there, but if you were to apply that concept here, there's a neat lesson to be learned that a transportable fuel is very vital for the stabilization of that to work out while we also look at transportable fuel to be more resilient. So transportable fuel seems to be the key takeaway in both of those talking points. So comparing batteries to hydrogen in a couple sentences or less, is that one of the big advantages of hydrogen over batteries is the transportability? Yeah, the big advantage will be the transportability and the flexibility with how it's created and then how it's used. A battery is very highly efficient, but it's very limited in its long-term capability. That's why when I look at these different technologies, I like to look at them from not just the power into power out, but a quick reaction, safety, raw materials to build, raw materials at end of life, recycling, hazmat, put in as many factors as you can and say, well, the fully burdened cost of this technology doesn't pencil out. It may look more efficient up front. But again, second, third order effects are looking at the fully burdened life cycle cost could drive a whole different decision for folks that are looking for a long-term solution. OK, well, we're coming up on a break here. We'll be back in 60 seconds with more with Ryan Wopens. Hi, I'm Pete McGinnis-Mark. And every Monday at 1 o'clock, I'm the host of Think Tech Hawaii's research in Monart. And at that program, we bring to you a whole range of new scientific results from the university, ranging from everything from exploring the solar system to looking at the Earth from space, going underwater, talking about earthquakes and volcanoes, and other things which have a direct relevance, not only to Hawaii, but also to our economy. So please try and join me 1 o'clock on a Monday afternoon to Think Tech Hawaii's research in Monart. And see you then. Aloha. My name is Mark Shklav. I am the host of Think Tech Hawaii's Law Across the Sea. Law Across the Sea comes on every other Monday at 11 a.m. Please join us. I like to bring in guests that talk about all types of things that come across the sea to Hawaii, not just law, love, people, ideas, history. Please join us for Law Across the Sea. Aloha. I'm all about law across the sea. I'm about law, period. Thanks. Coming back to my lunch hour stand, Energyman here with Ryan Wubbins from Burns and McDonald, talking about the international aspects of energy and what different places they're doing to use my favorite source hydrogen to maybe meet some of their challenges. So we've talked about Japan, steam reforming, and doing a lot of hydrogen in their transportation. We've talked about Europe using curtailed power to make hydrogen to push it through their gas pipelines. We've talked about the survivability of underground utilities, including gas utilities, being superior when it comes to resiliency and recovering after disaster. So we're going to try and pull that all together and maybe explore what Hawaii has and how we can capitalize off of those pluses and see if we can make some of that happen here. So Ryan, we're talking about all these concepts and we're talking about the full life, life cycle costs of things. What are some of the things Hawaii needs to look at when we start to decide what we're going to do to make our grid really clean by 2045 and can we possibly put enough renewables here on Oahu, solar and wind, without paving over everything or putting windmills on everything to really generate the kind of base load power that HIKO needs to generate clean power for everybody. Sure, we can walk through this kind of step-by-step. So let's focus on Oahu as being a major consumer for the islands with a relatively small amount of land available, which would be required for both land-based solar and land-based wind. We can talk about water-based another time.  Now it's still going to help. And it would be great if we could pull that off to the maximum extent possible. But let's keep in mind that that's not our only goal, is to just be 100% renewable because we can look at what happened in Puerto Rico and the Gulf Coast and say, well, what happens if we just get whacked with this giant storm? All of our wind and solar was all over the island and we just got nailed to the storm and it just ripped it all apart, which is very likely. We could try and protect it, but the cost would just be astronomical at this point to make a bulletproof solar or something like that. So there's not enough land to just make that happen. And even if there was, we wouldn't want to be doing that anyways. At least I don't think we would. Not before you keep our tourism market up. Exactly. So the fuel's got to come from somewhere else. Oahu needs to be importing its renewable fuel. That's a pretty easy logical step to take, would you agree? It's very much right there. If Hawaii wants to be independent, which would be a good goal to have as well, we need to look to the other islands to support each other. And that is to support each other by energy and economically. Trade between the islands would benefit from this. Would be producing our renewables on the other islands and then having a way, at that point, to transport between each other. We have briefed on this in some of our third Fridays before, which is hydrogen as a fuel medium can be transported in high densities. And maybe that's a way that we can be producing on the other islands small or big at this point. And having a bit of a market of energy and buying and selling and transporting hydrogen as a big source of energy. And so when we look at the quiver of renewable sources of power generation in Hawaii, we have wind. We have solar. Those are pretty much understood. We have ocean thermal, which is actually born in Hawaii with Dr. Kroc from the University of Hawaii and his engineers that have built them. My understanding of that technology is it has to be built at a large scale to get the economies of scale to make it worthwhile. And we're talking probably acres of floating platforms out on the water to really produce the kind of power that we need anchored off of the Waianae coast. So is it viable? Yeah. Is it probably better looking than a bunch of wind turbines all over the mountains? Yeah. But it's also going to be kind of expensive. Then we have geothermal. We have, other than burning waste or getting rid of waste and gas fires and taking that opportunity, using whatever methane we have that's produced locally in landfills and in wastewater treatment plants, and then producing from agricultural waste, maybe doing anaerobic digesters and making methane. And again, using that to make other fuels so that you're not releasing CO2 in the air with methane or methane in the air, which is even worse than CO2. So out of that quiver, and if you know of any more that you can think of, what are some of the things that you think would work best? I think you're going to reach in and grab a piece of every one of those. I think your list is pretty much got the gambit, or at least all the ones that are worth bringing up immediately. The trick is you don't really have one that's just going to hit the bulls eye and solve all your problems. Solar does a lot of that for the reason that the energy is coming external of the earth. We are harnessing this energy from somewhere else, and we're really only taking that energy from right below it. That energy was going before to the grass that was sitting underneath it, and now it's going into our panel. So we are taking it a little bit from somewhere else. But generally, that energy is coming external. When we reach into every other one of those pieces, whether it be geothermal, ocean thermal, even wind, we are taking energy from another system and making it our own. We've already started to experience, when we talk about the changing environment, of what happens when we start taking large amounts of energy from one and then converting it into our own use. That's somewhat it's getting us into the problem. With the fossil fuels and OK? Absolutely. What we can be really good at, though, is taking out a little bit of everything and still keeping everything within its stable environment. At least that's what I think. I don't have much of a proof of that other than Third Fridays on our show. So pulling out a little bit of everywhere would seem reasonable, or at least a lot more reasonable, than just taking as much as we can out of one piece and then hoping that we didn't mess up a system that's far too complex for us to understand immediately. So I would say you go after every bit of renewable that you can to try and have a minimal impact on the overall system. That's not the cheapest solution. It's definitely not the cheapest. It's more resilient in the sense that our resources are not tied to each other, but. How does that dovetail into the survivability mode of getting through a natural disaster? Are we looking at, and we also don't want to burden a community like Molokai, Molokai with a whole bunch of PB or wind that we don't want to hear in Oahu. Why are we telling them, hey, you guys do it, because we need the power and you guys have more space? I wouldn't particularly like somebody ramming that stuff down my throat. I absolutely wouldn't want to either. It is an agreement at that time, because that would make sense from a technical perspective, to just make that one big solar field, even transmission line it over our produce hydrogen. Who knows, there would be a lot of things we could do with that and just make them a power plant. But the islands are in this together. Even though the population resides mostly here, this is a group effort. There's even a lot to learn on Kauai's efforts and how they are getting to their goals at a very great pace. So it's an agreement. I don't have the one stop answer for that, other than we've got to all help each other out to make it happen. That doesn't mean we're going to pay that as a whole power plant, but it's all good. Well, let's go back to the transportability issue. I know that we've mentioned this before in an earlier show that when you first moved to Hawaii, you assumed that there was power coming from the other islands to Oahu. I did. Underwater cable or something. But obviously, that's not there. And there's a pretty significant cost to that. If you're going to move power, not using cables, from Big Island or Maui to Oahu, and look at batteries, look at hydrogen, look at whatever, what makes sense? So today, so we can do a theory on incrementalism, which is we can only advance a little bit at any time, which is, unfortunately, generally true. We're doing it with big oil rigs. That's how we're moving fuel between countries and into this island. We're definitely wanting to get away from that. Batteries, if you want to say, that's one step we could take. There is a giant barge, I think, running out in Europe that is fueled by batteries. Now, I think it's a little more of a sales stunt, because it's doing a short little stint, and it's got to stay docked for a crazy long time. That's because it doesn't make sense. Now, maybe it made sense for that little thing. You need a very energy-dense fuel to start to make sense, and changing from your oil-based shipping barge, I should say, tanker, excuse me, it's not crazy to think that would be a hydrogen fuel. It's simply exchanging one fuel to the next, one set of risks associated with that fuel for another set of risks, everything within the realm of engineering feasibility today. Absolutely. So we're getting close to the end of our time here. And a week ago, I proposed on a show that we look at making liquid hydrogen on the big island, not only to transport it to Oahu to supply base load for HIKO, but as you mentioned earlier, before we came on the air, maybe use our gas pipelines to move it around Oahu to the places we want to make generation happen, maybe some bit more inland than on the coastal sections where there's tsunami vulnerable. And then also, you'd have that hydrogen-available transportation sector, and it has the density to move on a barge or move on a purpose-built ship that regularly translated back and forth and moved it. Feasible? Yeah, it's well within the realm of possibility that envision your natural gas and your oil-based products today and how you use them today being hydrogen. That flip is technically possible. I'm not saying we're going to get there tomorrow, but that's how it can work. If you think you're going to do it with batteries alone, that discussion is really hard. Yeah. Well, sharpen your pencil, buddy, because I'm going to try and do the math on that one and see if we can make it work. But we've come to the end of our 30 minutes already, and I appreciate Ryan coming in as he does every third Friday and spend some time with us with his expertise. He's got a lot, a lot to share, and look to him for his expertise. Thanks for joining us on Snap to the Internet, and we'll see you next Friday, same time, noon time, my lunch hour.


Basically in many of this clustering problems we would like to define an optimization criterion, we like to define an optimization criterion and whichever clustering follows that optimization criterion that we call it as clustering of the data. This optimization the definition of this optimization criterion that again that is that should be in principle problem dependent since we are starting the subject. So we will start with basically if use I mean at least one such optimization function we start with basically one such optimization function and then let us see how it proceeds. Why do you need to define an optimization function for doing clustering? The reason is that the clustering problem as I said it is whatever someone wants you to find these properties you need to have. So you find them you do the clustering according to those properties sometimes what happens is that you are just given a data set you are asked to do the clustering the person may not have anything on his or her mind you are just given a data set then what you may want to do is that fine let us just see what sort of groupings are there. If it is a simple example like playing cards one can easily find the groupings but usually the data set that are given to us they do not follow such simple I should say properties they do not have those simple properties. So what one may like to do is that somehow within a cluster you need to have I mean the point should be similar to each other and for between two different clusters you need to have some sort of a dissimilarity and you need to have I should say more dissimilarity. So what is a way of formulating this thing mathematically a way of formulating this mathematically is the following. So you are given a data set okay and the number of clusters K let us say it is known the number of clusters K is known. So basically what do you need to do you need to divide this data set into K clusters that means you need to make a partition am I right you need to make a partition. So let us call one such partition to be say a 1 a 2 a k this is a partition of this data set. So if I write this data set as s and these are a 1 a 2 a k so what are the properties the first property is a i is not is equal to 5 for all i 2 a i intersection a j is 5 for all i not is equal to j and 3 union a i 1 to k is equal to s. So the first thing is you need to make a partition well this is a partition then what do you need to do somehow you need to have some sort of a similarity or dissimilarity. Let us assume that we are doing we are finding this dissimilarity by using Euclidean distance. Let us assume that we are finding this dissimilarity by using Euclidean distance. Then the for a partition a 1 a 2 a k of the whole set s let us define this function l what is this function this function is let us take square here this y i let us call y i as y i is mean of a i y i is mean of a i you find the mean of all the points in this set that is y i. So what you do is that you take a point x in a i find the distance between x and the mean okay and this you take the square of the distance and this you sum it up overall x in a i and you take i is equal to 1 to k this is the function that you are defined now you would like to get a partition a 1 a 2 a k which minimizes l you would like to get a partition a 1 a 2 a k which minimizes l right intuitively it looks nice okay you would like to get a partition a 1 a 2 a k which minimizes l right now okay let me start asking you questions let me not show this thing now let me just keep it like this you are given n points let us assume that the number of clusters is 2 that is not going for k how many such partitions can you have how many such partitions can you have how many such pairs you can have a 1 a 2 this a 1 a 2 okay let us just say small n is equal to 4 you have 4 points you can put one point in one cluster 3 points in another cluster okay you can put to here to here for each one of the things you can calculate this right and you would like to find that partition which minimizes this now my question to you is how many such partition means possible for k is equal to 2 for k is equal to 2 how many such are possible that is right 2 power n divided by 2 there is a 2 power n minus 2 because we are not considering all the points put in one cluster 0 in another cluster that we are not considering so 2 power n minus 2 we need to have 1 and n minus 1 n minus 1 1 they are same so you need to divide it by 2 so 2 power n minus 2 divided by 2 that is for k is equal to 2 what about k is equal to 3 k is equal to 4 and my next question is any value of k what is your answer you try to give me the answer tomorrow otherwise I will tell you the answer tomorrow okay for any k first you need to know how many such partition means are possible then you know the complexity of the problem it is actually of the order of k power n it is k power n minus something some minus something plus something will come in but I want you to give me the exact expression I want you to give me the exact expression okay so that is about the computational complexity part of it the second part is fine you have got these clusters somehow you have done the whole exhaustive search or whatever it is one has done it and you have got the clusters what properties these clusters process what properties these clusters process so this is the function that we want to optimize we would like to get hold of those a1 a2 a k which provide minimum value for this function now let us just see the properties of this function properties means if we really get those sets a1 a2 a k that means if we really get those k clusters then what properties do those k clusters process before I do that I will just write here to find again a1 0 a2 0 a k 0 0 is for optimal such that L P for all P a1 a2 a k we are supposed to find a1 0 a2 0 a k 0 0 is for optimal so a1 0 a2 0 a k 0 such that the partition a1 0 a2 0 a k 0 L is for loss the loss function corresponding to this partition is less than or equal to the loss function corresponding to any other partition a1 a2 a k for all partition P a1 a2 a k of the set S so this is our a now if we do really find this partition a1 0 a2 0 a k 0 what properties does this partition process let us see suppose note that we are using only Euclidean distance we are not using any other distance this is really important and you will actually probably understand it why I am saying suppose this is the mean of one cluster after we have got up to in the optimal partition and this is the mean of another cluster okay this is the mean of one cluster this is the mean of another cluster after the I mean mean of the optimal cluster one of the optimal cluster this is the mean of the other optimal this is the mean of one of the other optimal clusters now you have got a point here this is a point from the data set you are supposed to put this point to either this cluster or to this one now to which particular cluster you would like to put it you will put it to this cluster because the distance of this point with this cluster is less than the distance of this point to this cluster mean and you are always taking the cluster mean in our expression for optimality we are always looking at the distance between x and the mean right the mean of the cluster right so that means what that means basically all the points which are on this side of the line they will go to this cluster and which are on this side of the line they will go to this cluster that means what basically say suppose this is another mean so that means you will have a line like this for this right and suppose there is another mean you will have one more line like this basically okay do you know the meaning of a convex set when do you call a set to be convex draw a line between two point such dead without the line segment join any two points should be completely contained in the set then you call that set to be convex now this is one half space this is one line this is one half space is a half space convex it is convex take any two points here the line segment is here only within that set only and then if there is one another point you are going to have one another line and this side there is another half space so it is the intersection of two half spaces intersection of two convex sets is it convex intersection of two convex sets is convex intersection of finitely many convex sets is convex so basically the cluster corresponding to that particular mean it is if you forget about the finite number of point basically it is the intersection of all these half spaces right and that is basically convex it may so happen that it may so happen that the shape of the cluster may be like this okay but if take the mean here the mean will be somewhere here take the mean here this is convex basically this method provides convex shaped clusters have you understood if you use this optimization criterion the clusters that you would get they are basically convex shaped what is the meaning of convex shaped note that the shape of this is not actually convex this is actually a non convex shape but then once you do this one this is convex this side of this line this is a convex set this side of this line is a convex set convex set when I say that you get convex shaped clusters what I mean is that the finitely many points what shape does do these points have I am not bothered about that the shape of these points I am not bothered what I am bothered is that it is basically intersection of convex sets each convex set by the very nature of the definition a convex set is an uncountable set it is surely an infinite set and since we are looking at points in R2 and R3 R4 Rm it is an uncountable set and intersection of convex sets if it is not a singleton it is an uncountable set if it has two points means then it is going to have all the points in between those two points then it's an uncountable set so intersection of convex sets is uncountable but we are doing clustering of finitely many points we are not doing clustering of uncountably many points we are doing clustering of finitely many points okay. So these finitely many points may form some sort of shapes but once you do the clustering the space corresponding to one cluster that is basically convex the space corresponding to or the set corresponding to one cluster that is basically convex because in this example this whole thing corresponds to this cluster and this is a convex set though the shape of this is not convex. So any I mean this criterion essentially provides you convex clusters this criterion essentially provides you convex clusters and once I say this thing then you are going to get all the other complications. The complications are that look at the example to here if you want to get those sort of clustering then you will not be able to get using this optimization criteria see the power of mathematics is even without doing a single thing we are able to stay that you will not be able to get it okay you will not be able to get this shape here in example 2 by optimizing this criterion okay. So in fact I will make slides of all these things and I will give the slides if not in the coming one or two days in the next this thing surely I will give the slides. So when you have non convex shaped clusters it is not necessarily true that you will get those clusters by using this criteria then you have a next question the question is suppose the clusters are convex shaped do we get those clusters by using this criterion the answer is unfortunately no the answer is unfortunately no suppose take two such elongated strips really long finitely many points only each one is this is convex shaped this is also convex shaped but if you optimize this criterion you may get it like this one may be giving you lesser value for this than this partition if you make the strip to be very long if you make the strip to be very long then this one may give you a smaller value than this. So it is not necessarily true that the convex clusters existing in the data set they are always obtained by this criterion it is given it will give you convex clusters but the convex clusters that it provides they may not be the convex clusters that you are desiring they may not be the convex clusters that you are desiring you are desiring one type of convex cluster it is giving you other type of convex clusters okay. So the whole thing that I want to state is that whenever anyone gives you any criterion for doing any work be it clustering or anything first you try to analyze its properties you try to analyze the properties you will get many clues from there and you see this is one very standard criterion many persons use this criterion a generalization of this criterion is used in fuzzy C means fuzzy C means algorithm is based on a generalization of this criterion if you look at the whole this thing optimization function there it is basically this one only a slight generalization but then since this has all these drawbacks that is a slight generalization it will also possess at least some of these drawbacks if not all okay. So this is a my general advice to you all anyone giving you any criterion you please look at the plus points and minus points just look at it I mean the mathematics are the thing that I have done it is nothing I mean great I am just trying to explain what this is doing okay. So it is not necessarily true that the convex clusters existing in the data set you may be able to get by this criterion and the non-convex clusters you may not get them so that is one part of it now the second part is I was asking you about how many such partitioning are there it is a huge huge number it is a huge huge number this problem is similar to from an end point set to a k point set the number of onto mappings the number of onto mappings from an end point set to k point set how many onto mappings are possible it is exactly the same problem as this one it is a small difference if you are talking only about onto mappings then you will not get that divided by two factorial 2 power n-2 divided by two factorial okay partition a1 a2 is taken to be same as partition a2 a1 that is how the two factorial is coming there so for k it will be k factorial so number of onto mappings from an n element set to k element set divided by k factorial will give you the answer to this will give you the answer to this one and you will see that that number is huge I hope all of you know about traveling salesman problem and NP hard problems right I hope all of you know about this know about it if you have k number of clusters and if it is after order of k power n then you are going to be in serious serious trouble right you are going to be in serious serious trouble so whatever algorithms that are existing for optimizing this they are basically sub optimal algorithms that means you are not in a position to optimize the criterion using those algorithms so if you can suggest an algorithm which really optimizes this without doing the exhaustive search then it will be a very nice contribution to the literature and people will have it up let me state this thing to you once again if you can develop an algorithm for optimizing this for getting this partition without making an exhaustive search for any data search and for any value of k then people will surely lap it up people will surely lap it up because we do not have algorithms for it so k means algorithm it tries to do the optimization but it does not guarantee to provide the optimal solution k means algorithm there are several versions available in the literature there is one version called for this k means there is one version called McQueen's k means there is one version called Johnson's k means and there are modifications and generalizations of this in fuzzy c means there is instead of mean if you use median then you would have known something known as k Medoids algorithm okay and you have some things you have sometimes a data set where some for some points you know the classification whereas some other points you do not know the classification and you would like to do some sort of a it is clustering it is semi supervised which is nowadays many people are doing so you have a k means version of this even in that case like that you have just several several k means algorithms are there there is one leader algorithm there is one leader algorithm professor MN Murthy IISC Bangalore he is one of the authors of this that is a very nice algorithm it tries to do things very fast well it does not guarantee optimality I mean it does not guarantee optimality I mean even the k means sort of thing it does not guarantee but it is very fast and it gives reasonable results leader algorithm that is a very good algorithm MN Murthy IISC Bangalore so like that you see you will find several several versions of this depending on the type of use depending on the constraints that you have you have several several versions of this. So I will do one of the versions here in the class the version that I am going to do it is a 4g skamings which was in 1965 McQueen skamings algorithm it came in 1967 I am doing 4g skamings because many all many pattern recognition books you will find basically 4g skamings algorithm but as a person I would prefer to use McQueen skamings instead of 4g skamings if you want I will give you both the algorithms I would prefer to use McQueen skamings instead of 4g skamings but I am giving you 4g skamings because many pattern recognition books have this algorithm shall we stop it.