I got a discussion why my name ain't in my Who we Whitway going to try breaking me down Ever since I started glowin' they wanna hate on me now Put a cross so flooded I got a bread on dry A wise man told me stay away from these clowns Gas back, this ain't shots of liquor when I'm taking the Sometimes I can't believe that I'm


I will explain some stuff about the machine learning. Okay. Let's go. Good afternoon, everyone. This talk is about what ensemble models are. Some of you might have heard about it. If you've ever participated in Kaggle competition, almost invariably every winning solution is an ensemble model. So we'll learn what ensemble models are and how to build using Python in today's talk. I'm a data scientist at Cisco and I've been doing machine learning for about 14 years. Before I start about the talk, I just want to give a short puzzle. Just a bunch of birds that's there in a tree, they're actually 150 birds. Slaughter comes along and he fires three shots on the birds. His probability to hit the target is 0.2, 20% of the times he can hit. So he's shot three times. One bird is hit. The question is at the end of how many birds now remain on the tree? Yes? Yes. They all fly away, right? So you can use complicated models, ensemble models, deep learning models, but never lose the picture. It's extremely important. This is an example where you will all relate to, but in practice, kind of models that you build may be so complicated that you may not even understand that it relates to the domain or not. What's the machine learning process? We have input. It gets fed into a learning algorithm which creates a machine learning model. And that's used to build the prediction. That's easy to tell. That's what is taught in school in any course. But in reality, the input data is in a different format. You'll have to transform, you'll have to modify, you have to clean, you have to do a whole lot of stuff before you create features from your input data. And that gets fed into models and you use the final model to predict. In reality, it's even more complex because there's so many ways using which you can create features. And you can fit so many different kinds of models. It's not just one kind of model, but you can build so many kinds of models. You have linear models, linear regression, logistic regression. You have tree-based models, decision trees. And you have ensemble tree-based models, random forests, gradient boosting machines, deep learning models, support vector machines. It's a lot. How would you do something like this? It's extremely difficult. So how am I really going to select something from this? Recapping, there are two important steps in the process. You have to create features from your input data set. You would also need to select models in some way. The challenge here is that the model is only as good as you. It's because you're the person who's creating the features. So the model is only as good as the features, which are created by you. And this is where a lot of time is spent in traditional machine learning place. You spend a lot of time in identifying the features, in creating the features, and generating it, transformation, all kinds of stuff to create the features. This is made really famous by the New York Times article, which tells that this is the janitorial work in a data science process, and it takes about 80% of the time. The challenge after you create the features is that, even if you use the same features, different models give different predictions. And why is that? It's because the solution space is so huge, it's defined by your entire space of your features. And the models can go and search in different regions of the solution space. Different algorithms search in different solution spaces. And it's kind of hard to figure out which one is what I should take, so that they have better generalization property. Okay, given that you know how to create features from it, we'll now talk about how to improve model performance. This is where you'll have different models to select from. Each model has different parameters that you can tune. It's called hyperparameters. And you can try different sets of features for each of the models. How can you create a final model using this? You cannot try all possible combinations that really explode. It's exponential in nature. Exhaustive search is definitely ruled out. And this is where Ensembl models helps us come up with some kind of strategy on solving this. We'll talk about what Ensembl models are, just with some toy example. We'll create on a dummy dataset three kinds of models. One is a linear model, logistic regression. It's a classification problem. We have a logistic regression model, a tree-based random forest model, and a gradient boosting model. So it's very easy to build in Python. Logistic regression is directly there in scikit-learn. You just create, just use linear model called logistic regression. Gradient boosting machine is implemented by an awesome library called xgboost. It's better than the one that's there in scikit-learn. And you have the prediction on the test dataset. The assumption here is that all the test datasets are one. And this is how the model comes. They all have different predictions on the same 10 data points, but they all have same accuracy. They all have 70% accuracy. How do we go and build a final prediction when you have all three models with equals? So if you probably use cross-validation as your metric, you're going to have 70% in all three of them. But if you look into what is here, there's an easy way where you can combine these three models into something better. You can take the number that comes maximum. Here, it's max count. And you see that, OK, in my first row, one comes the most. So I'm going to set my output as one. And if you do something like this, the second one, zero comes more, so I'm going to set zero. You do this, you miraculously enter a 90% accuracy. This is your simplest model, maximum counting, which will also be your average. In some sense, you're going to use CPU as a proxy for creating more features or creating this particular kind of model. So we're going to talk about strategies, which can use some clever techniques to search your solution space. Having said this, I should tell that ensemble models are not new. It's been there for a very long time. Techniques like Random Forest, Gradient Boosting Machines are also ensemble models. But they just use it at a very simplistic level. Advances in computing power has led to far more powerful techniques that we're going to see very shortly. Ensemble models were used predominantly in academia for a long time. Until the Netflix competition, this happened in 2007, this was one by creating an ensemble model. And that's when industry started noting, OK, we can use ensemble models. And now you see a lot of ensemble models in production. In its essence, this is how it looks like. You have an input data. You create different kinds of models. It's very important that you create different kinds of models. These are not the same models. And you combine them using some logic. And then you use that to take your final prediction. This is what the architecture of an ensemble model would look like. What are the advantages of doing this? It definitely improves the accuracy. Not always, but most of the times it improves the accuracy. It becomes very robust. Your variance of your output reduces. And because you can do things in parallel, it's nice to do parallelization. And you can do things much faster. Two important things, as I told here, you have to select different models. So you should have base model diversity. And there should be some way to aggregate the models. So these are two things that's very important for ensemble models. The four important techniques that you can use to create base models. You can use different training data sets. You can take, so that's your number of observations. You can sample on your number of features. You can use different algorithms. You can use linear regression. You can use random forests. You can use neural networks. That's different algorithms. And each one of them can have different hyperparameters. This will cause you to build different models. Once you have that, the combination logic can be voting. We saw voting was the one that we used. It could also be averaging. If you want to use probability as your output, then you would average. If you just want a class of your output, you would just vote. And blending and stacking. Stacking works something like this, that you would split your data into two parts. You would use the first part to create something called base model learner output. So these are your base models. And that's used as an input for your secondary model. So that's what you do in stacking. This could be, so this would also be a model. This model's input would be the output of the previous model. How would you do this in Python? You would, this is your base models. Here you have your base models, which can be run using Pipeline. Scikit-learn has Pipeline. So you can take different libraries. Scikit-learn, Keras is for deep learning. XGBoot is for gradient boosting. You build a model, and you set everything in a Pipeline. And you can use randomized search CV for getting your cross-validation score. And once you have your base models, you can use, so if you want to do weighted average, you would use a library called Hyperopt. It's a hyperoptimization library. If you want to do stacking, you would again feed it to another model, probably in XGBoost or Logistic Regression, to create the final prediction. Something on randomized search CV, it's faster than what you would do in your grid search. It's much faster. Hyperopt is, as I told earlier, it's for optimization over the search spaces. It's an optimization routine. It's widely used. For parallelization, so models lend itself nicely to parallelization. You can run each model in parallel. Generally, what you would do if you run one model is you would run your cross-validation in parallel. Instead of it here, you can scale out and you can run each model in parallel. And JobLib does this task extremely nicely. You can log, you can trace it. You really know which model takes a lot of time and where you should optimize. Gives you enough flexibility in doing that. OK, to really know more about ensembles at work, really suggest you to look into capital competitions. The winning models are invariably ensemble models these days. Here's an example of how this was used by the winner for the CrowdFlower Search relevance competition. CrowdFlower ran a competition where the search results have to be, the relevance of the search results have to be classified. You can see that once you get to the feature extraction stage, different models were built. And the final model was the combination of these models. Having said this, not everything is fine in an ensemble model. If you want to interpret a model for an interpretable model, this is really not what you would use. Interpretability goes for a task. Sometimes this is also true if you look into Kaggle to get to the last 2% or 1% extra accuracy. The time it takes to improve accuracy may not make sense in real-life practice. So that's a big disadvantage. It takes a really long time to improve accuracy. So you would probably do this really full-blown methodology, only if accuracy is your most important metric. OK, what's the cool stuff around it? We actually created a package on building ensemble models. We pushed it two, three days back. It's on the GitHub site. We've just submitted to PyPy, hoping to be home. So that's my team, which worked on this. Yes, that's all I have. Thanks, Christians. OK, who has a question for now's friend? No? Yeah, just a GitHub slide, please. The what? The GitHub slide. Yeah, right. Take a picture. Oh, yeah. Another? Documentation is still not up, but it has. It has notebooks which talks about how we use this. OK, no other question. Thank you so much. OK. Thanks a lot. Thank you.


Hi, I'm Terry Lake, Minister of the Environment for British Columbia, and today I want to invite all British Columbians to join me in celebrating Canadian Environment Week. This year, Canadians are celebrating their 40th year of participation. And that's a great time for British Columbians to take a moment and reflect on how far we've come as a society when it comes to caring for our environment, and where we're going in the future. Our government has made a lot of progress as we look to do things better for our environment. Whether it be our climate action plan, which is one of the most aggressive in all of North America, or our leading-edge recycling programs, we're doing our part, but government can only do so much. All British Columbians have a role to play because every little thing we do to help protect our environment is important. So happy 40th Environment Week to British Columbia!


I know this is kind of scary, but you know, I Just because I'm camping doesn't mean I want to Neglect my skin and the really cool thing is that a Year ago just about a year ago Gail from random life productions came from the UK we had never met each other and She came over to to to visit the states and we were chatting back and forth and some of you know This is how Gail and I really got to I have no idea why or how I started to watch her her channel but I think it was because I Look really scary. I think it was because she probably did a lot of blogs about England And that's a fascinating topic to me the castles and all that stuff Anyway, she mentioned she was coming to the States long story short that most of you already know about don't mind the mess behind me She mentioned that she's coming to the States and I said well, you know, let's get together and our let's get together Morphed into really let's get together. We ended up chatting on the phone. I felt really comfortable with her Yes, she was a total stranger But I felt really comfortable with her and I invited her to stay in our motor home If she wanted to to be in my area, which she jumped on that opportunity So anyways, why I'm thinking of Gail today is I'm doing this face mask And this face mask is actually a face mask that Gail brought from England that she left here She left like a bunch of masks in my motor home and I packed them up And I think what I did is when I packed them up. I put them in my camp box And that's where they sat all Year in my camping supply box. So when we opened up the motor home again this year I brought that box out here and I started to pack stuff up and this mask all the masks One of them and this is a hydrating Draining avocado sheet mask What's dripping and So hey Gail, I'm thinking of you while I'm camping. So I'm using this mask today and oh Yeah, it just feels heavenly heavenly I am like Really enjoying it. So today. I think is our last full day of camping at the beach. It's Sunday guys We're gonna bring the motor home home tomorrow morning. I got up really I didn't get up early I got up early ish and I walked down to the beach and then insert this that clip right now it's about six o'clock and And it looks like it's gonna be cloudy They did predict rain So I'm gonna put my Shoes on Walk along the water. I over slept I decided to increase the speed of the video and mute the natural sound as the wind Was pretty bad and you really couldn't even hear me at times So I'm walking down along the outer edge This is the river side of the campground and this is a walkway that all the campers can enjoy So even if you have a waterfront site like we do people can walk across it And it's just part of the amenity of the park.  It's actually pretty small and Straight over there is the state park part of the campground in season the state park even though it's not a campground over there it's a public beach a state beach is Extremely popular and extremely crowded in season But most of the campers come down to this end of the beach This is known as the jetty area and it's just a pretty pretty stretch Hampton Beach is actually a Very popular very beautiful beach in the state of New Hampshire We've been coming here for years and really super enjoy it Can't tell you how many times I've come down here in season even when we can't get inside the campground We will camp here and we'll camp In the overflow parking lot That's what we call dry camping When there's no hookups Jay got up super super early and went golfing. Oh He's a fanatic He bought these new golf shoes online. He got a great great deal for him and I'm telling you I'm not into golfing but those golf shoes are really nice that he bought and He was so worried about it. He was worried about the size. He was worried about the fit the comfort And I'm so happy because he did get a great buy. They were like I Don't know. I think they were like maybe hundred and seventy hundred and eighty dollars for the golf shoes And I think he got them for like half that 70 something eighty something So Anyways, he got them and They fit like a glove and they are so comfortable he said So he is like super super super excited about his golf shoes And on the way back I walked into the wind So I decided to do a voiceover instead because the wind was just so loud So I'm walking down the center of the campground. You can see there are two rows We're on the water side and when I walked down to the beach, I walked along that side I thought I'd do and bring you this way on the way back to the camper So you can see this campground is pretty small. I was wrong. There's about 29 spaces And you do have to book well in advance in season We were lucky we came on Tuesday because first come first serve we were able to get spot number nine and It was actually a pretty good spot. Typically when we're here off season We end up having to be on the overflow, which is just basically in the parking lot on the other side It's a lot cheaper to stay there, but there is certainly no hookups or anything like that So you're dependent upon your generator for power and things of that nature But it's still close to the beach I think when we're in overflow it might take me five minutes to get down there Or as opposed to where we are now, it took me a little over three minutes to walk down Wait till you see the camper that's directly across from us. It's a converted bus coolest thing so they converted this bus they turned it into a camper and I don't know. I just thought it was really really amazing and this my rig It is a rig. It's a big one And I think there's a certain amount of freedom in that little converted bus there I think that's pretty cool Now I'm heading back inside Hope you enjoy my little beach walk this morning. Oh, and I love my plate. That means working hard So you can see from the clip We really are very very close to the ocean from this campsite and you can see when I walked back the other the you know the sort of the center aisle you can see a little bit of a different view but Sad to say we probably won't get back inside the campground this season because all these sites are booked up super fast And well ahead of time so we'll probably be camping in the overflow next time we come back to the beach but Hey, that's life and yeah, so we're heading home tomorrow. I've got a busy work week as usual So does Jay We could have kept the motorhome here and continued all next week coming back and forth to the beach But it just it just doesn't make any sense, you know, because you do have to pay even though it's off season you do have to you know to pay to Just checking my helper out you have to pay to stay here, so This is awesome The only thing is when you when you come here off season like this it's first come first serve and I am I Don't know yet what I'm gonna do. You know, I've been following the keto program I really really like keto. I really like my low carb lifestyle But I fell off the keto bandwagon and I cannot get back on I cannot get back dedicated motivated keto so I'm gonna look into something else, you know, I have a stand-up desk at work In case you haven't seen it. I'll insert the picture in here. I absolutely love my stand-up desk So when I'm at work and I'm office found I am actually Standing most of the day and then I go for long walks But still it isn't helping and I really want to I really want to ditch the the weight I've gained and I really just want to focus and Get back into the rah-rah exercise mode so Sorry to be so rambling on this vlog, but that's my Sunday.  Bye guys Here comes the rain. I know you probably can't see it, but My window is covered With rain and the people next door to us packing up most people do leave on a Sunday And if it really gets bad, maybe Jay and I will leave this afternoon when he gets back from golfing rather than waiting until Monday morning to To haul our butts home So I just wanted to kind of show you Because I told you I'd show you what my skin looked like after I took my mask off So when we're camping I kind of like really I mean it's more of a low-key type of thing really I don't usually put on a ton of makeup I always wear my sunblock, which why it drove me crazy that I had forgotten it In my vlog that I posted last week But I always wear my sunblock sometimes I put a little bit of foundation in it to mix it in sometimes I'll add a little bit of a blush, but all the time it's mascara eyeliner eyebrow pencil and a little bit of a lipstick and Sunblock the rest of it, you know I don't I don't really worry about because it's low-key unless I'm heading out. We're going out to dinner Or we're going to the you know to work or something I don't fuss around a lot. So but that mask was really really nice and Yeah, and it worked out really well on my skin Jay just texted me. He is on his way back from his golf game and it has started to rain So we'll make a decision what we're going to do because it's raining out like crazy and that stinks but One of the things that we've been discussing is you know, we have a we have a trip planned to Canada Coming up we haven't finalized any of our plans, but we pretty well know what we want So one of the things that I've been trying to do is kind of map out a little bit of where we're going to go and Our time frame and all that and then I've been thinking about what I'm in a pack So these face masks thanks to gale kind of reminded me how easy it is Because I've had that in my camp box, but I hadn't really it doesn't take that much room So but how easy it is to pack the essentials you really need because whenever you go away.  I'm still using my skin care Treatment, but I'm thinking now What am I gonna bring with me to Canada because here's the general gist of what we're gonna do and poor Jay Doesn't know all of it yet, but we're not taking the motorhome. So we're gonna have very limited space we're gonna be in the car and We are probably gonna drive either take the ferry over to Nova Scotia from either Portland, Maine or St. John's I think that's a new Brunswick, Canada and head over or we're going to drive the car all the way over the reason we're not taking the motorhome is because A number one the the fuel is gonna be very very costly and we want to go in places in Canada that a big 40-foot Motorhome is just not gonna work or fit for us So we're just gonna rough it in the car. I plan on and I kind of mentioned this to Jay a little bit I plan on checking out one of our tents that we have when when Jay and I started camping eons ago We were tent campers That's how we started and we bought this amazing two-person tent. It was a tent for all extreme weather conditions It was designed to hold up in high winds and rain and you know Zub zero degree temperature the reason we bought that tent is because we're avid kayakers And we wanted a tent that would hold up to the extreme weather when we paddled to little islands and popped our tent up so Yeah, we are crazy and we must have thought we were robins and carousel or something silly like that Anyways, we spent a lot of money for the tent and we used it just a little bit One time that we used it as we flew to Florida We packed the tent we packed our sleeping bags a little air mattresses and other essentials that you could bring on plane And we flew to Florida we rented a car We went to a grocery store bought a cooler bought those little propane tanks the little tiny ones and then we bought food And we drove to the Florida Keys and we actually pitched our tent on the beach All along the Florida Keys. It was like the most fun fun vacation that had to have been maybe 15 years ago or something so we were pretty old when we did it But we loved it. So I want to do something very similar when we go to Canada. He's not fully on board yet So what I'm thinking I'm gonna do is we check out the tent when we get home make sure it's still okay and And then we'll have we'll stay in a couple of you know air B&Bs We'll stay in some some places like that along the trip But I think it'd be kind of cool to pitch the tent in a few spots and rough it but so I'm really really I don't even know why I'm talking about that now probably because I'm in the motorhome and I did a face mask and I was starting to think what can I pack cosmetics wise skincare wise that I Will have room for you know in the motorhome. This is a 44 rig I could I can bring a lot of stuff when it comes to cosmetics and skincare Even though half of what I bring your makeup. I don't use when I'm camping But when I'm in the car, I'm gonna have very very limited space and it just got me to thinking about staying on my routine what I can pack and Actually got me very very excited about the thought of doing the tent camping again So so we'll see so when Jake gets back to the motorhome We may go out who knows it's raining kind of blah but most likely we'll be Planning a little bit. We'll talk more about our canate Canada trip new Brunswick, Nova Scotia, the Cabot trail I would love to both of us would love to go to Is it Newfoundland? Newfoundland Newfoundland I'm gonna say it right And there is a ferry you can take over there from Nova Scotia, but it's like really long There's two ferries actually one is like something like seven or eight hours and others like 18 hours or something So I don't think it's gonna work out this trip because we don't have that much time But I'm really excited. It'll be the first time we have gone on a trip like that Without the motorhome Texas was different because when we went to Texas we went for a convention and so that was like a completely different thing and When we next year when we go to Las Vegas for the convention and then we were gonna fly to Falco's while we're gonna do a vacation in Hawaii. I am actually Thinking and maybe doing the same thing like we did when we went to Florida. I don't know I'd have to look and say I don't even know if this campgrounds in Hawaii, but yeah, so I'm rambling guys. I am sorry Well, I packed up everything I had to pack up And I'm leaving Jay behind. He's gonna pull out with the motorhome. We got the slide in we've got I've got all my kitchen stuff everything away and then Jay's gonna call Triple A and he's gonna get a trip tick because our Canada plans might be twisting a little bit and Then we are going to plan that trip full force. So I'm heading to the office He I'll meet him I probably won't meet him I probably won't see him until about 10 o'clock tonight because that's how long we're both working or he is working tonight So that's the scoop. Thanks so much for watching guys. I think I'm gonna end the vlog here because it's already at 20 minutes and I I don't want to bore you all to death and since I'm heading home from the beach The rest of the week will probably be a little bit on the low key work work work No fun fun fun. Oh, I yesterday was raining here at the beach and Jay said, oh, you want to take a ride up the coast? I said, yeah, but it's raining out. He goes, that's all right So we took her we took a ride up the coast. We ended up in man we ended up at the outlets and Bath shoe outlet or bath outlet or whatever it is They have like really super super comfortable shoes and Jay likes to buy his shoes there So, uh, we went in there and they had by one get another pair free Or you could get 40% off one pair So, uh, you know, I bought four pairs of shoes sandals That's so bad. See you next time I really hated pulling out and leaving the rig behind but we had a great couple of days and Ah So sad to leave but work calls guys. Thanks so much for watching


Oh, right everyone. What is going on? Welcome back to another video and welcome back to my very first reaction to Pat McAfee. I'm coming to you as a rugby player with 20 years experience. I was born in New Zealand. I live in Australia. Pat McAfee, legendary kicker for the Colts, legendary for doing things slightly differently than normal. I actually don't know. People thought he was always quite humorous throughout his career and so now he's got his own talk show. This video was a suggested video that came up after the last one when I watched Lamar Jackson's Highlights in the Rams game, where they smashed them. He got five passing touchdowns and about 95 rushing yards, which is amazing. So anyways, in this video we're going to hear what Pat McAfee has to say about the MVP talent that is Lamar Jackson. Let's go. But they smashed the Rams. Triple sticks. Triple sticks. Think about this. Michael Vick admitted that he had this problem. Think about this. Your entire life, it doesn't matter what sport it is. Football, let's say they were playing tag. Hell, kick the can. Lamar Jackson has been the best athlete on every field he has ever stepped on. His entire life. He walks into a sport he's ever seen. What are we playing here? Cricket? Bang! Best cricket player on the field as soon as he walks on there. That is a very interesting sport that he just chose being cricket for the fact that the states don't play cricket. Cricket is our version of your baseball. So thanks mate, thanks for that reference. You have some success which he had at Louisville and he continued to grow. And you would think when you have some success at Baltimore, although he didn't have the amount of success I'm sure he wanted. They showed the highlight of him getting clobbered against the Chargers last year at the end of the season. But to think that this guy has had the amount of success that he has had at all levels and he is still putting in the work in the film room, which is very obvious by the way. You've got a lot of very smart players playing for that Los Angeles Rams defense. Eric Weddle is one of the smartest safeties ever played in the game and he's making him move with his eyes. He's making things happen and delivering the ball into spots that it has to be. So not only is he the most athletic guy, he seems to be the hardest working guy.  What a recipe for your MVP! MVP! MVP! MVP!  Who was that? The recipe for your MVP! MVP! MVP! Okay, so that's a reflection of Pat's desk in the background. They're in a room that's painted blue.   So you know what? I don't feel so bad now.  We all love our caps, don't we? MVP! I'm all the way on the hype train at this point. I don't know how you can't be. I don't know how you can't watch that guy play football and say, hey, that guy makes football better. That guy has taken a football that has changed its offensive strategy over the past few years. From the RPO to the wide open offense, spread throw the ball. It's changed the rules so fantasy football numbers can go up. Instead, that Ravens team's gone the complete opposite direction. We need bigger bodies in here. And we are still going to make it the most exciting must-see offense that's available because we have a guy who's an anomaly, a unicorn, a one-of-one. They broke the mold when they created him. Let's see other teams try and do this and duplicate it. They won't be able to do it. Lamar Jackson offense. Now, that defense... What about it, Pat? It's obviously getting overshadowed at this point. Hold the Houston Texans to zero. Continue Tom Brady and the Patriots offense. Wozen and last night made a guy who got paid a lot. Okay, some of you guys seeing this right down here. He's got some Oakley's on. He looks like the Terminator.  With that neck, it looks as if he's either Mike Tyson or a 300-pound bodybuilder, but he's not. He runs a 4.39, or something like that, 40-yard dash. In fact, I've got to check out his combine highlights. A lot of money look very, very below average. That Los Angeles Rams offense with Kid Genius, Sean McVeigh running the thing look very average, and I don't think it's their fault. I just think that that Ravens defense obviously knows what it has on the offensive side of the ball, and they decide we're going to be dominant as well. I'll have an entire ranking of the NFL teams here in just a few moments after we play some Chase Rice, but I have a feeling that this Baltimore Ravens team might be one of them trains that lose the breaks, and in those videos you see they just quabber and slaughter everything that gets in its way. I said that last night they might win by 40, and they won by 39. It's a whole day. It looks like we've seen it for them. It's fun to watch, and the NFL is lucky to have it. It's 10-05 here in Indianapolis, Indiana. We have Tony Dungey joining us in 10 minutes. Tony Dungey. That Tony Dungey, all pro-dad, all world coach, NBC sports analysts for Football Night in America, and also he was a part of the blue ribbon panel that voted on the NFL's All Time Team, the 100 NFL All Time Team. I'll be excited to dive into that brain chat with him. I'm assuming he's feeling the same as that way we are, that Lamar Jackson is just a different animal. And Mike Florio tweeted this out. He said, I'm sick of the comparisons to Michael Vick, or something like that. The comparison of Michael Vick and Lamar Jackson isn't an accurate one, because Lamar Jackson is putting in the work behind the scenes. I think Michael Vick is the only comparable person that you could potentially do to Lamar Jackson, plus you add the fact that Lamar is potentially learning from Michael's mistakes, which wasn't studying enough film. Man, what a recipe for success to have over there. Six drives, six touchdowns with Lamar Jackson against another professional football team that trained and practiced against him. With a guy, Aaron Donald, who's one of the best players to ever play football, they just double teamed him, took care of everything. It's like they have a good concept of how they're supposed to run it as well. So not only is their best athlete making plays, Harbaugh and that staff, Greg Roman and everybody, is putting him in positions to succeed. Like, hey, we'll take care of everything else, you just be Lamar. I think that's a beautiful thing to watch. Okay, he's just mentioned this guy Harbaugh, right? And this video I was actually recommended, which is Harbaugh saying to Lamar on the sideline that he's changed the game. So before we finish Pat's interview, we're going to watch this one. Just want to see this. Been really looking forward to seeing this, man. Let's see what he says. That's 20 years. When I get older, that's right, man. How old is he?  Let me watch that again. It's all I know, coach.  All right. That last year, the transition to the NFL ball, gave him problems and that he was throwing ducks last year. But now in the off season, he's got used to the NFL ball, and now he's fine.   Like, whenever a ball breaks up, you lose a lot of things, especially in the NFL where you need zip and you need to drop it into a bucket because the defenders are so much faster than they were in college. So now that he's tightened that up a bit, I mean, things are really happening for him. Top five passers or something like that inside the bucket. Yeah. Also, they said that the Ravens have only punted three times in the last couple of weeks. RG3 has been in on all three of those drives. We don't need to vary RG3. No, no. Whoa, whoa, whoa. At this point in the game, he's just managing the clock milking it. I mean, they're trying to punt. They don't want to go out there and hang another six or 14 on teams. Which RG3 could do. And would do. They're trying to be a little bit more respectful. It's gamesmanship. All right. So, Pat McAfee has his own talk show. In fact, you know what? I'm going to start listening to that. I'm going to start listening to that. Try and get some information and report back to you guys. But one thing I did want to say is that Pat McAfee is absolutely killing it because what he's done, he's gone and created this show, this podcast that he can do a two or three hour show, maybe one hour, two hours. I don't know how long it is. Then he can go and split this show up into different clips, talking about different, you know, players, different topics and create even more content for his YouTube channel. And another guy who's doing that in the MMA field is Chael Sonnen, the bad guy. So he'll do a full entire show, a podcast, and then he'll cut it up into clips and put it on his channel. So, and both of these guys are actually going up in subscribers by about the same amount. I think Pat's up to 4.30. And Chael Sonnen, let's just have a look how many he's got. He's the man. He really is. 431. There you go, two behind. So, you know, both these guys are actually killing the podcast slash YouTube game. And I think that's moving forward. I have to do the same. We'll get there, guys. Anyways, if you have enjoyed this video, please let me know down in the comment section below. If you've really enjoyed it, hit the like button. And if you've really hated it, then hit the dislike button. The choice is yours and yours alone. That was a, yeah, sorry guys, sorry about that. That was actually a reference from one of my old favourite programs, Legends of the Hidden Temple. And with that being said, guys, I'll see you in the next one. Peace out.


Okay, so this session is about the validation rules. So we are still talking about identity data. The validation rules is about the data entry form validation. So, yeah, in GTK, we have the validation rule engine that can evaluate the evaluation rules, but always in the context of data entry form. It means this engine is not intended to be used to evaluate validation rules across the whole system, but only those validation rules that are triggered in the data entry form. You know these validation rules, there's a bottom in the data entry form in web that says RAM validation. So these validation rules are those ones. So the good thing here is that this validation rule engine uses the same parser of the expression than the backend. So this is something that is quite new. This was done like one year ago. In this test, too, there is a common parser of the expressions, the expressions that are used by the validation rules or by the program indicators, by the indicators also, by the program rules as well. So all those expressions are being parsed by the parser that is served between the backend and Android. So we could expect the same result in the backend and Android. The validation rule, the validation engine is in the validation module to trigger the validation of a particular data set instance.  Okay, what about the result? The result of the validation method is a list of validation errors. So when you execute this method, what you get is a list of errors and each error contains some information, some context information about the error to make it easy to identify. So for example, it includes the validation rule that triggered the error. Then some information about both sides. You know that the validation rule is composed of two sides, the right side and the left side, and an operator. You can say that this part should be read there or equal to that part. So the etiquette also evaluates both parts and includes this evaluation in the result. So you can, for example, print something more meaningful to the user. It also includes the list of data element operand so you can highlight in the data entry form the data elements that are involved in this validation rule. Also the evaluative value, the display expression, it means each side of the evaluation rule but in a human-readable way. And also the evaluated expression. So as an example about this, you can print to the user some descriptive feedback. For example, total population should be greater than under 5 population. Or you can print to the user the values. Assuming that in this case total population is 500 and under 5 is 800, so this is not true. Or, for example, the formula, the regenerative, what is called the regenerative expression. And finally, you have the UIDs of the data element that are involved in the evaluation rule. So you can highlight in the data entry form those values that have caused the error. So that's all about the theory.


Live from the Walt Disney World Swan and Dolphin Resort in Orlando, Florida. It's theCUBE. Covering Splunk.com 2016. Brought to you by Splunk. Now, here are your hosts. John Furrier and John Walsh. Okay, welcome back everyone. We are here live in Orlando for dot.com, which is Splunk's seventh annual user conference. This is SiliconANGLE Media's theCUBE. This is our flagship program. We go out to the events and extract the signal from the noise. I'm John Furrier with my co-host, John Walsh. This week, one year on day one, a lot of stuff going on. Big keynote tomorrow about adaptive response, big security announcements between Splunk. What a better time to have this next thing. And John, I couldn't have said it better myself. We've got a high in song with this, who is the SVP of security markets at Splunk. Also, Monzy Mercer, who's the head of cyber research. So thank you both for coming in. Appreciate the time here. Without, I know you can't let all the covers, you know, but give us an idea a little bit about, conceptually, what the adaptive response initiative has been about, how it's evolved, and maybe a little bit about where you think it might be going. Sure, we're going to try to get the announcement out.  Be happy to. Adaptive response is an initiative that we announced at RSA this year. And it's really the first Splunk-led industry initiative. And the key tenets of that is around sharing, coordinating, automating. And so in a way that we want to harness the power of our ecosystem and harness the power of all the security technology working together. As we all know, we cannot fight the war or each of our own items. So. Oh, we're about to have a major announcement. This is part of the adaptive response concept. Daft when things change. Yeah, we're about in live in the moment. But that's where the action is. So let's get into the security thing, because again, we've been having conversations on theCUBE, I think we'll be over 100 events this year. It is the number one conversation on everyone's mind. It's not even as well, there's no second place you can't even see what's second place in terms of conversation. But now it's a boardroom conversation. It's not just an IT or operational conversation. It's a real business driver. And it's causing changes in the data management. So this adaptive initiative is interesting to me because it's kind of enabling a new paradigm in the industry. And I love it because it's so organically growing. Data sharing now is now one of the fastest growing trends we're seeing in terms of something that's coming out of the woodwork relative to Splunk. And in general, in use of data in real time, whether it's for autonomous vehicles or security, data sharing has contextual value for a lot of other environments. And this contextual aspect is a security paradigm. What is that conversation that you guys see with your customers? Why is all this coming together? And what are the CXOs and CIOs talking about? So adaptive response also came from customers wanting a security ecosystem to work together. Want a security solution that come integrated so they don't have to go and do all the hard work of putting them together and risk that they don't work well together. From a board level perspective, we totally see that, right? The CSOs, the CISOs, whatever name that they have. The CIOs. But it's all end up to how can you translate the security incidents and the possibilities of having those incidents to how it's going to impact my business, the reputation, the revenue, the customers. And that's why from our product perspective, along the way, with a risk-based approach, Mazie will talk more about that tomorrow as well. How do we blend in the business risk in a way that is right in front of the analyst's eyes? So when they take action, they're guided by the priority of how it's going to impact the business. It's a really interesting conversation because there's two theaters that are exploding in relevance. One is the Technology Theater, which is all about big data and spelunking. You guys, this is every day we cover the event. It's like all the goodness every year happens. Customers are happy. People smile. So much value is being created. But the business theater's also on fire. People's business model's around risk. So I want to get your guys' thoughts perspective on how you see the sharing. Is it growing fast? Can you share some examples? And how that's forcing companies to make a trade-off between old compliance, other risk management conversations that are so small in comparison to the consequences of a hack, a breach, fraud. Because that's a takedown move that hackers are going to do with customers. I mean, people, again, if you get the psychology of no one ever hiring the executives ever again, there's real business loss. The root of this is really when you look at the digital transformation that's been going on over the last couple of years now. It's a reality. People are running a lot of services, leveraging services on-prem and in the cloud. You look at how we consume things, whether it's ride sharing, whether it's getting a hotel room or whether it's buying something or getting a prescription medications. All of these things are becoming more and more central to how we live our daily lives, what that's causing. And I think that's the reason why it's becoming a boardroom conversation. This data now is becoming a strategic advantage in the business of trying to realize that. So as people start to share that, we're now getting beyond this notion of, we should talk about data governance before. It's now organizations are starting to have CDOs, for example, the chief data officer whose job is not necessarily to conceal and hide this information, but how to govern and share this information across multiple organizations. So now what's happening as a result of that is you have the same set of data and you have the security analyst looking at the data from their lens. You have the application developers and the administrators looking at it from another end and you have the IT operations folks looking at the same exact set of data to identify root cause analysis, to do better troubleshooting, to think and enable and move the business forward. So I think that's where all of this sharing and all of this intersection is coming from and now it becomes, to your point, a board level conversation because all of these different silos that used to be silos in the past are now all part of this one piece. And cloud accelerates that because the data sharing and the organic who are in the know see value and they just make it happen, the pioneers, if you will, the guys who take down the pioneer pull out of the fields for everyone else. But here's the issue, right? The data warehousing market was a fenced organization and the compliance built around that and freeing the data is causing value. So we're seeing this notion of data value come directly related to sharing of data. If you free the data and let it be flowing, but you don't manage it still some degree, but don't lock it down. So the question is, how, or the question is, have you had conversations with customers around data value as an asset? Because now you're getting into the conversation of this data set that we're extrapping out of Splunk easily is going to impact the bottom line from a cost perspective, possibly efficiency, et cetera. And also revenue top line for thwarting attacks and driving business. So you got two ends of the spectrum covered. Do you put it on the balance sheet? I mean, because the guys who are doing the work want more budget, right? They want to, they want to fund more developers. They want to fund more data scientists. How are people doing this in the business out there right now? Maybe I'll take a stab at this. So when I was hearing you talk about freeing the data, I love that concept, right?  And it's the more you can make it available for them to really look at this and gain valuable insights, the more they can think about how they can use that. So one of our themes is security should become an enabler for the business. And when you go to the board, when you go ask for investment, it's not about, well, you know, this is going to be bad if you don't invest. It's more about if I have this data, I have this visibility, I can enable others to do better. I can provide this service and this service would render revenue for the company. So I love the concept of free the data and let the data go and speak. And we have something called listen to the data. And I think if we free the data for other people to listen, that's great. Well, the Splunk audience and your customers are very much pioneers. They're also very smart and great community. And the threat detection teases us out. So as you get these new use cases, because what's happening is you guys are a new way to do things. So people have, and I think we're hitting a threshold here where they're rethinking how they do things, a little experimentation, but scales getting up. So now the challenge is how do I operationalize it? So the question for you guys is as you talk about freeing the data up, which is a architectural paradigm, okay? Make things open, Splunk is plugged into that. How do you operationalize it? How do you scale through the organization? And how does Splunk enable that specifically? I want to address that by way of the prior comment that Hian was making and how the freedom of the data and operationalizing I think goes to a very tightly intertwined. I was having a conversation with a customer who was probably about three weeks ago or so they brought a fairly large team to our offices on Renistry in San Francisco. And this customer is a very large industrial manufacturer. I think they're really, really big things. And they said, you know, we know that we can manufacture certain things that nobody else can manufacture. They don't have the resources, they can't get the raw material. But what concerns us is not our number one or number two competitor, but there's two people in the garage who have data analytics capability that can take the data from the things that we create and are able to find a real tangible value from the things that we create and that value from the data supersedes the value that we have from the actual physical thing. And so that's, so to your point about sharing is, Martin, it's not just about, it's not just about geeks in a workshop thinking when worrying about this data sharing. Data sharing is a direct initiative for these very large organizations we're concerned about. So then we translate that to say, okay, from a threat perspective then, what is it that we care about and what is it that organizations need to be concerned with? So they're no longer just concerned with who has access to the thing, who can walk into a door and who can turn something on or turn something off. Now they're more concerned with who can mix data together from disparate data sources. And from an operational perspective, Splunk is at the forefront of enabling our customers to operationalize this mingling and this contextualization of data. So two people can sit across the table and come from very different disciplines. Doug talked about this morning about our customers at Harvard University doing informatics on genetics. And so how do you take that and bring those two pieces together? So I think that's the key of operationalizing and that's what Eric and guys had it right. The free download model, anybody can do it and it's operationalized. I think you're right on the money. I think the old expression in the HR business was oh, you're human resources and your talent assets walk out the door every day, meaning the people. In this case, the data's flying out of the company every day and if they're not harnessing the data, they lose it. So that example's a great one because here you have, they're focused on the asset of the balance sheet, their core business. When in reality, what he's saying is the data is still part of the core business. I don't want to lose it. It's okay, now that brings up the data value question. Do we put data on the balance sheet? That's something that we're working on with Wikibon, but no one knows what that, how do you do that? How do you say this data's worth X? It's hard. Well, I don't know I can put a dollar amount but I can use an analogy. Through the different sort of revolutions the industry is going through and currently it's energy, it's oil but it's moving towards, I think data is going to be the new fuel for the economy. Let's talk about security. I want to take that to the next level. So I've been observing Splunk now for multiple years doing the CUBE and interview all the top executives, customers. And besides the community is so happy with Splunk Solutions, I'm seeing an emerging fabric developing around a social network because people are sharing not only the data, you're seeing personnel and this comes back to the initiative and some of the ecosystem moves, you guys made some investments and other things. The ecosystem's starting to self-form around some of these challenges, especially security. They're overmaned, over-checked out by the orchestrated hacks and attackers. It's becoming a social network for security people. And the second thing observations, you guys are compositely building solutions with the tooling but yet not restricting the customer's creativity to your point earlier. Was that part of the plan and is that going to be part of the plan going forward? Did I get that right? Am I seeing that? I mean, it's a little weird observation, social network but it's kind of happening is that? It's yes and yes. It's kind of by accident on purpose kind of thing? I think in a way that that's our DNA, right? You talked about it's in our genes. In our genes, the founder started with is we want to really make it available, make it accessible, valuable to our customers. And we're just carrying that and the customers are carrying us in a way of teaching us how valuable data can be. I think it's a, what's the right word to use? It's we help each other escalate or the value up. So do you see that kind of like standing on the shoulders of each other's customers kind of thing, open source kind of concept where solutions are going to come into this portfolio of security from the outside and inside? Is that how you guys? What I would say is we historically and speaking as an ex Splunk customer and is that Splunk has always been focused we just don't listen to our data, we do that, we do that really well, we listen to our data, we listen to our customers and customers are the ones who discovered these new use cases and they're the ones who come and push us forward to say, do more, do it like this, give me more capability here. And as you've been around Conf, you've seen.conf grow over the years and that in itself is really a demonstration of customer trust and customer commitment where more and more customers come every single year and say, you know, you're doing this really well, give me more of this. That thing I'm not quite sure. And so we, and we- They're building on top of it. They're not like context switching. They're building and we are continually focused on making sure that they're successful with the things that they want to do. And so we keep feeding that as the customers take chances and they explore more. So I mean, Hayan mentioned this earlier that, you know, all of these things are part of an ecosystem and security in particular is really an ecosystem problem and an ecosystem solution. And so we learn from our customers. We learn from our partners and we just keep building and moving forward together. So if I'm a customer, pretend I'm a customer for a minute.  And I want to solve it by sharing certain parts of my data. My data geeks mapped out what we could share. What's the little risk there? But it's worth sharing. How do I do it? Do I connect with other Splunk hubs? I mean, is Splunk becoming the exchange point? Do I start a threat connect? What do I do? What's the playbook? So one of our customers, they picked Splunk Cloud as the solution. One of the reasons they picked Splunk Cloud is they said, well, then you would just enable us. If we want to share the data, you can just open it up and we don't have to go through any extra steps. So that's certainly one revenue for us to do that. And cause once you put everything in the cloud, you can decide what access you grant to whom and to what level you want to share. It's easy to share. So we have customers who really just went to the cloud with that in mind to say they allow researchers to go and look at it. Is it easier for Splunk customers to share with other Splunk customers versus non-Splunk customers? Probably. I like to use the example of our large financial customer. There's actually a video of that on splunk.com where because the data is so valuable and you alluded to that earlier, there is less of a desire to share it outside of the business than it is to say I'm a large financial services organization. I have hundreds of thousand employees, perhaps thousands of data scientists and developers. So what this financial services customer did was they had a week long hackathon. They opened the different data silos within their own organization, brought that data into Splunk, brought people from different organizations and different teams and really let them hack at it. And they went from analyzing the data to developing applications on top of Splunk to actually deploying three of those applications that were developed. We're talking a week's window for a financial services organization. QA alone would be three months on any app under the normal process. So when we talk about democratizing it, getting eyes on it, operationalizing it so it's actually useful and then extracting real business value, I mean we go back to the question that we started with. Why is this a boardroom conversation? Why is Splunk and more boardrooms? That's the reason. Because you can go from getting the visibility to actually making use of it to get business value in a very, very small window of time. Okay, final question. Well, two parts. First, what are we going to hear tomorrow theme-wise in the announcements? I know that's kind of under wraps for the keynote. Tomorrow is a big announcement. And then your thoughts on just in general, what's going to happen in the industry to accelerate the defense and security? A lot of people were saying, it's still far behind, a lot more. It's like, we got more work to do, pedal faster. So how do you go faster? And what are some of the highlights we're going to hear tomorrow? I'll take the first part. You answer the second. So tomorrow's keynote is themed around transforming security. So transforming security is around what can we do together as an industry? Like Monzy was saying, solving security problem is an ecosystem problem. It's not a wet man sort of fighting on their own island type of situation. So we'll talk about in general, not only how security in the cyberspace is transforming itself and how overall in a bigger picture, right? Defense in general, at a national level, how that's transforming. And of course, what are some of the product capabilities and new solutions that's supporting that transformation? So love to have you guys come. We'll be streaming live on SiliconANGLE.tv on the YouTube. So transformation message, that a new way has to be built. And a new way to defend, I'm guessing team sport kind of concept, but we'll see. And so just how do we go faster? How do we level up, if you will, in the security world against the bad guys? So I would, just as a technologist, I would like to say that the things that we are looking at, you're going to hear someone about some of these things tomorrow is we're really going back to the drawing board with the research work that we're doing. And we're saying, it's not about peddling faster. What if you didn't have to pedal at all? What is the real problem and how do we address it? I think a lot of the reasons why we've done things, and by we, I just mean as a technology ecosystem in the industry, reasons why we've done things the way we've done them is because we were constrained, not necessarily by imagination, but by the capability that existed in the Lego block, so to speak. And so we build things the way we built them. I think we are no longer constrained by those or we can at least, or at a point, we can give ourselves the permission to think beyond what was capable before. And so those are some of the things that we're going to talk about tomorrow as well. It's like- Especially rethinking, it has to be rethought through. It has to be rethought, and it has to do high ends, but it has to be rethought together. One person's rethought is not going to get it done. Guys, thanks so much for sharing the security. Longer conversations, we can do a whole day on this one topic. Cyber is super important and obviously changing a new way, being operationalized in real time, hopefully faster and automatically. It's theCUBE broadcasting live here in Orlando. Day one coverage, we'll be right back with more coverage after this short break.


What's good chargeable Ross back again with another video? So we're back with another preview and predictions, but this year's Survivor series. I'm definitely looking forward to survivor series this year because of the war games matches And also the speculation of maybe see them punk returning and the fact that we finally get to see Randy Orton back in some action back out here given the RKL's man, especially Ripley hopefully we're gonna keep our fingers crossed But we're gonna go through the matches and I'm gonna give my preview of predictions Who's gonna win who's gonna lose why and why not and you guys join in in the conversation in the comments down below as well So let's get started with the women's war games match with Bianca Belair Charlotte flair Becky Lynch Shotzi and versus a damage control which consists of Bailey EOS guy Kyrie saying Asuka now this one I think the main story here that they're trying to tell the main story I feel like is what's going on here is the fact that EO has a lot more power than she did when she was by herself Well not by herself, but when she was initially, you know brought in to you know damage control or what not Bailey seemed like the leader she seemed like she had More of the control over the group But now as Kyrie saying got into the mix and as Asuka has joined them it doesn't seem like Bailey has the complete control that she once had and you can kind of tell because they start to speak in their native language and Bailey doesn't really know what's going on. She thinks she knows what's going on, but she doesn't she didn't know about the Kyrie saying situation. She really didn't know that was even playing out. She didn't know about the Asuka Joining them as well But she kind of played it up like she did and I like the fact that I do think at some point in this particular match there's gonna be some miscommunication and It may result in Bailey catching the beats I think the ultimate goal here is Bailey may end up getting kicked out of damage control So I'm not think that may be the reason why they lose I don't not to say that they couldn't win But I do think the reason they may lose is because Bailey's not sure what's going on here and EO Kyrie and Asuka say alright enough's enough. We need to stop playing around. Let's get her out of here So I do think Bailey may catch the beats in this situation And I do think they're gonna start some type of story with Bailey and EO And I think that's gonna be the reason why the baby faces Bianca Charlotte and Becky and Shotzi will win the match because They're not on the same page. They look like they're on the same page, but it's really EO Kyrie and Asuka that's on the same page and Bailey is just there so I do think that Bailey is going to potentially catch the beats and You know, she's gonna be by herself because Dakota can't even really help her She's not even fit to wrestle like that. So she's still injured. So she's gonna be by herself essentially and She probably will end up getting jumped and she may Bailey may be the reason that they lose She may end up being the one to get pinned and then they decide to go ahead and pack her up So I am looking forward to that Just off the the premise of what's gonna happen with damage control Do I feel like this match needed a wargames? Not per se But I understand why it's happening and I do feel like the biggest story here is Bailey Getting kicked out of damage control or being attacked. So we'll see if that does happen But it does seem like that's the route they're going So I'm gonna have the baby faces winning on the women's side of the wargames because of some type of issues between Bailey and EO and the rest of the group and Maybe Bailey being the one to cost him that match. So definitely I think the baby faces will win the women Women's Wargames match. All right, we're gonna go with Santo Escobar versus Carlito Now I did enjoy Santo Escobar's heel promo very good. He was getting some real good heel heat That is what you want. It's it's one of those things with Ray. You betray Ray You become a very hated individual and that's a good thing to get somebody over I Like the fact that Carlito did call him out a couple weeks ago saying you're the reason why Ray lost the United States Championship and and Santos being very disrespectful. I didn't bring it in this new guy Carlito I'll always had you back all this other stuff and now he wants Ray to permanently be injured is it's it's all Good and I think even though we just got Carlito back in the WWE I think you go with Santo Escobar winning you have to go with him winning this match You do because he's in he's back to his heel like persona But it seems even more personal and he has some issues with Carlito I think you have Santo Escobar go heel. I mean not go heel but win this match It just makes sense. I think Carlito can take a loss here. Obviously, it wouldn't be a clean loss I would have Santos cheat in some sort of fashion do something behind the refs back to protect Carlito But I'm going with Santos to win this because you want to continue to build up this Heal persona so when Ray does come back then we can have that that that feud between him Santos and Ray and see how that plays out But right now to build up Santos while Ray is out have him continue winning as a heel cheating doing whatever he has to Do so I'm going with Santos on that match The women's world championship real Ripley versus Zoe Starks. I'm gonna be honest with you I'm all for you know triple H trying to get more newer stars in the mix. I get it. I'm here for it Her winning that battle royal to be the number one contender that was kind of I wasn't expecting it But I just don't think it's her time I think it was a little bit too soon and I get you got to sometimes put someone in the deep end to figure out Either if they're gonna swim or sink and it's just her promos aren't really there right now And that's something she has to work on. I'm sure she will get there over time Her in ring ability isn't that bad. I love her finish and move by the way But we know Ria's not losing this and Ria doesn't even have to cheat to beat Zoe Like I'm just keeping it a buck like Ria Shouldn't have really it should be a fight, but it shouldn't take that long. I'm just be honest with you if Raquel you know saying Put up a pretty strong fight against Ria and she's still in up losing of course is always gonna lose here So I would have picked someone else to be in this spot Because once again, I don't think fans are even really too much caring about this particular match Or Zoe as you know the person trying to dethrone Rhonda not Rhonda Ria I think people if anything gonna cheer for real Ripley She's gonna be the baby face in this match and she's gonna easily retain it shouldn't take that long This should be the one of the shortest matches on the damn card honestly so going with real Ripley obviously to retain and We're gonna move on to the next one the Intercontinental Championship Goonther versus the Miz now this should be quite entertaining Maybe match of the night potentially goonther doesn't really have bad matches I'm just be honest with you and when the Miz actually wants to go He can actually go in the rings actually pretty decent in the ring the promos They've had back before have been really really good. I'm still gonna go with goonther to retain It's just it's not his time to lose, but I Am starting to see cracks not in goonther per se, but in his henchmen in Imperium and that's where I think that may be the catalyst to him at some point Maybe losing because even though and I love this about goonther's title reign He doesn't need their help.  I know your accomplishment, but You're a fucking joke still at the end of the day I'm still much better than you and he's done that with a lot of his opponents He doesn't need them, but I do feel like Them Goonther kind of pitting his henchmen against each other may ultimately cost them down the line So I want to see how that's gonna play out I don't think it's gonna matter too much in this particular match But I do feel like goonther will retain I do feel like it should be a back-and-forth and goonther's gonna You know make the Miz look like he could possibly pull off a very big upset, but I think goonther will ultimately overcome the Miz and and Pin them clean honestly and we'll go on to our our you know our next few I don't know if they're gonna run it back, but we'll see who will be the next challenger For goonther, but I do not think the Miz is winning this goonther will retain and of course The men's war games match Cody Rhodes Seth Rollins J So Sammy Zane and your boy Randy Orton versus the judgment a Damian Priest Finn Ballard Dominic Mysterio JD Madonna and Drew McIntyre this match right here I have been thinking about all week trying to figure out who's going to win here. This is not as easy This is not cutting dry This is really not cutting dry and they can get creative on this particular match because it can go both ways It really can the babyfaces could win here or the heels can win here There's no right or wrong answer here in my opinion because a lot of people can be protected It depends on who eats the pin Let's start with the judgment day and the issues there obviously the judgment day have some Turn oil as well like they like to pretend storyline wise that everything's good, but it's not because Damian Priest Does feel me like he's the leader and I like how Cody has been planning that see like you're Mr Money in the bank, but you're not the leader you're Mr. Money in the bank, but you're not the leader of the group It's Rhea. So Damian Priest is starting to feel like I should be the leader and he's acting that way While Finn Ballard is feeling some type of way because they've agreed. There's really no real leader leader even though It's still Rhea So there's that dynamic and I'm very interested to see how that plays out because I do feel like that could be the key That cost them the match here So that you can really build off of that It's a got the babyface side of things. Oh Not even that before we even get to the babyface side of things Drew McIntyre doesn't really like any of them He's only there to destroy Jey Uso and that can cause some clash between Damian Priest and Drew McIntyre because Drew well Damian Priest has made it very clear you cost me the world heavyweight Championship Drew so there's still some issue there So that could be another reason why they don't win either now Let's go back over to the babyface side of things The main reason why they possibly could not win that match and be dead honest with you is because of the person They've added Randy Orton Randy Orton is only looking out for Randy Orton We've all known that and I can tell you this now Tell you this now He could be the reason why they lose Because once again if you watch Monday Night Raw as they went off the air and we found out Randy Orton was the fifth member Jey wasn't too excited. Everyone else was Jey wasn't because we know Jey has history with Orton The bloodline was the reason per storyline wise Randy Orton was written off TV So Obviously, there's gonna be some tension there. It's gonna be some tension there And I do think Randy Orton being the snake that he is I do feel like maybe at some point in the match. He ends up RKO and Jey Uso He ends up RKO and Jey Uso and maybe maybe Drew McIntyre pins Jey Uso Maybe he lets Drew McIntyre pin Jey Uso for them to win the match and he's just sitting there You know, so that can be a thing too, you know There's this or he can turn on Cody or you can turn on Seth There's he can turn on a lot of people in this match So that's that would be my only thing is Randy Orton costing them the match Or they do win the match and then he's still RKO's maybe Cody or he's still RKO's Jey Uso One of the babyfaces and at the end of the match. So that can be a thing too, you know I also do feel like Rhea Ripley will get involved in this match. I hope she does Because once she gets involved in this match You know what's gonna happen.  Like what are we talking about? So if I really had to choose and this has really been tough, I'm probably most likely gonna go with I Still think judgment day is gonna win. I think judgment day is going to win They're gonna have some issues, but I do think maybe Randy Orton even though He is a good option to have he has history with some of these individuals and I do think Randy Orton may be the one that cost them That's just me. I just it's just we know Randy. He's he's one of those people. He don't forget You know, so I'm going with judgment day winning because of Cody calling in Randy Orton And you can build off a feud off of that with Cody. Maybe I don't know or maybe they go some other route I don't know, but I do think I just have a feeling that That um, judgment day will win here as long as we are catches RKO RKO for a troubles I really don't give a damn and I just think it's gonna be fun and Very interesting. So I'm going with the heels winning on this one if I'm wrong. I'm wrong, but I don't know It's just I have that feeling That Randy's just gonna portray boys is that's what I have That's suspicious feeling suspicious feeling but comment down below Let me know who do y'all think is gonna win their Respective matches who y'all think it's going to lose why and why not man And if you guys are looking for it to survive a series as much as I am because I definitely am looking forward to it And will we see a returning CM punk? I haven't really even mentioned it Don't know where they will fit him in the cart, but will we see a returning CM punk? We will find out but I appreciate all of the support you guys are showing on channel road to 150k Now I'm still getting speedy you to present chip of the world appreciate y'all kicking me. See y'all next week. Peace


She's a former teacher. Oh, awesome, awesome, awesome, awesome. Okay, cool. Alright, cool. My name's Ty, by the way. Hi, Lisa. Lisa, is there anything that you wanted to... So, like I said, I got a hobby. I talk to people about whatever they want to talk about for five minutes. I think it's just a cool way to show them that you can have a face-to-face about anything. Is there anything that you find really motivating or something that you want to talk about? Music! Okay, music is your favorite thing? Music and art. What about it that you find really motivating or like what is it that's really important to you about music? The words. The lyrics?  Why are lyrics the most important part of music? Because they tell about people's struggles and what, you know... Okay. Is that, so... It makes you feel better about it. Is someone wrote a song that was about getting over struggles and how people can like fight through adversity? Mm-hmm. Does that make the music better for you? Yeah, definitely. Compared to like a person who makes like a song that's just strictly love songs, 24-7. Like, is that like a lower class? Well, I don't listen to pop music. There's some country songs that are like heartbreaking songs. Oh my God, it's so worse. And if your children are listening to it, you're right. What if they made country music that was about getting over adversity? Like if they changed the lyrics of that, would that make it better? They're making a few. Like Sturgill Simpson has some good songs. Mm-hmm. But, you know, maybe some Willie Nelson, definitely. Okay, yeah, definitely, definitely. A Bob Dylan? I don't know if you consider him a classic? Bob Dylan. I would consider him a country, but yeah. You wouldn't consider Bob Dylan country? Volk? Yeah. Okay, okay, okay, I see where you're going with that. Fair enough. What if I just wrote a poem that's talked about getting over adversity? Why does music make it better? I think music is an international language. Like everybody can listen and everybody can know what he wants to say. He just wants to smell somebody. Aw, he's just having a... He's a cutie. Scooby-Doo. Nice. Oh, is his name Scooby-Doo? No, no. That's all he does. But, um, yeah, like if you go anywhere in the world and there's music and there's dancing and people even if you don't speak that language you can get up with those people and have a good time and you get to know people. Yeah, free music is the international language. I'm going to throw something at him. This just means spitball or something. But if the only kind of music was country. Would that be improvement over no music at all? No, it's really depressing. Why do you say depressing? Well, if you listen to it, it's all it's very... What I hear is really depressing. It's like heartbreaking?  It's not like challenging you or like inspiring you. She thinks my track is sexy. Sure, sure, sure. Green pickup truck, though, is kind of a jam, though. I wouldn't know. Okay, cool. Thank you so much for the chat. Lisa, I really appreciate this chat. Thank you so much. Hope you guys have fun. Oh, enjoy your walk, too. Lucky's ready to walk. His name's Lucky. He's a rescue camera. Oh! Hey, I'm from the neighborhood. What is your name? My name's Ty. My name's Ty. My channel's name is Let's Chat. It's a place where people can talk about whatever they want. I have a big belief that any two people can talk about anything. As long as they take some good techniques with it. So, probably that's what that takes with stuff. Hey, how are you? I'm good. What's inside there? What? What kind of ukulele? Tenor baritone? I don't know. Soprano? Very, very cool. Just the regular. I play baritone ukulele. Yeah, it's really cool. It's the same string as a regular guitar. That way it's really easy to transition back and forth. Yeah.