Okay, so let's see what we can do here.  Now, what happens if I show my computer screen? I can be in front of my computer screen and I can open the presentation or I can just point around on my computer screen or I can start my presentation. So let's say I was talking about Coulomb's law. I can point some things out that are important. And then I go on this slide and now I wanna start talking or writing. So let's say the force is equal to K. Coulomb's constant Q1 times Q2 over radius squared. So in this example, I have nine times 10 to the nine Newton square meter per Coulomb squared times my charge one Coulomb squared times my charge one is three times 10 to the minus six Coulomb times my second charge, which is two, but we only take the magnitude. So minus three becomes two times 10 to the minus six over a centimeter is one times 10 to the minus two squared square meter. Here we have Coulomb. The Coulomb cancel the Coulomb, the square meter cancel the square meter. And what we are left with is nine times three, times two is 54 times 10 to the plus nine minus six, minus six minus four plus four. So nine minus six is three minus six is minus three plus four is 10 to the one. So 540 Newtons. And that's it. Now, okay, let's see what happens if I would try to erase. It's actually fairly simple. Okay, I'm gonna need the better towel to erase, but otherwise I think that is kind of proof of concept that this could work for life teaching. Here I'm recording my Zoom.


Welcome back to the session on lipid. In this session, we will learn to type set integration, matrices and equations. The syntax for integration is similar to that of a summation, that is the way in which we specify minimum and maximum values. Limits on the other hand just specify the minimum value. Let us go through these two examples. The command for integration is slash end, which displays the integration sign. This goes from 0 to infinity and then f of x dx. The second example has limit, which displays limits, which goes from x to c and f of x is equal to l. Please do try these examples out. You write a matrix using the environments given below. For example, matrix environment will display a matrix without a border, while P matrix will display with a round bracket, etcetera, etcetera. Let us try out the addition of two matrices. So, we first write dollar and dollar to indicate it is a mathematical mode and then we write slash begin P matrix and we write our content as 1, ampersand means I need to take another column. So, I write 2 slash slash, which denotes I need to take another row 3 and 4. Let us display this. So, we build and run. So, we have a matrix in round brackets 1, 2, 3, 4. Now, let us do some addition of it. So, we write plus, we have another begin matrix and we write 5 and 6 slash slash and 7 and 8 and after that we say equal to. So, we write slash begin P matrix and the answer is 6 and 8 slash slash 10 and 12. So, addition of 1 and 5, which gives 6, 2 and 6, which gives 8, etcetera. Let us build and run. Look how beautifully it is aligned and spaced out. Also, have a look at the size of the round brackets. Let us change from round brackets to box bracket. So, instead of P matrix, we change it to B matrix. Let us build and run. There you go. The matrix is type set using the box brackets. Imagine the effort that it would have taken to accomplish this task ordinarily. Let us go back to our slides. These are mentioned in the equation environment. Only one equation can be written in the environment. These are centered and each equation gets a number. Some examples are given here. Let us write them out. So, we had a section called equations. We write slash begin equation and we say 3 x plus 5 y equal to 2. Let us add another equation. So, we just copy paste it. We align it for better readability and we say 5 x plus 8 y is equal to 3. Let us build and run. So, the equations are centered and they have a number. Let us add one more equation. So, we say slash begin equation and we say x square minus y square equal to x plus y into x minus y. Let us build and run. We have another equation number 3. Well, this is an article document class. As an exercise, just change the document class to a book and add a chapter. Observe the numbering of the equation in that case. Let us switch back to our slides. The align environment is used when you want to write equations on multiple lines or you want to show the steps for solving an equation. An example is shown here. Let us achieve it. So, we write slash begin align and we write our content that is equation 3 x minus 6 equal to 9. We take a new line by writing slash slash and we solve the equation. So, 3 x is equal to 9 plus 6 slash slash. Then finally, we say x is equal to fraction of 9 plus 6 and denominator is 3 and we take a new line again and we say finally, x is 5. Let us build and run. Notice that the equation is centered. Since we are solving it, we would like to align it with respect to the equal to sign. So, we just write ampersand equal to. Ampersand equal to will align the equations keeping the equal to sign in mind. So, we write ampersand equal to. Let us build and run. As you can see, the equation is aligned with respect to the equal to sign. So, one can imagine how the equation is solved. Well, since this is just one equation, we would not like all the steps to be numbered. The no number command tells LaTeX not to number a particular equation step. So, we write slash no number in the remaining 3 lines. Slash no number slash no number and again over here we write slash no number. Let us build and run. So, only the main equation is numbered. This is how we write equations that span multiple lines. Let us go back to our slides. So, with the end of this session, we can now typeset integration limits different types of matrices and equations. Do try out more examples that you might already have in mind or just take up some random examples and try. It is really fun to write mathematics in LaTeX. Thank you. Have a nice day.


If you don't have clients, then you don't have a business. So recruitment is the most important part of any business, whether you're in sports or whether you're in any other type of industry. If you're not constantly recruiting, if you're not constantly bringing in new customers, new clients, then your business won't become sustainable. So for a football academy and for a football academy owner, this is the most important part of the business is the recruitment of clients and of new players. So even though the recruitment stage or the recruitment part of this is going to be slow, I want it to be a slow process where we're filtering maybe one or two per month or maybe one per week. We want to make sure that it's they are your perfect clients, right? Their players and their families that are good for your business. And you know that when you bring them in, they will be there and they will be with you for 90 days or over three months, right? They're going to be with you for the long term. The most important thing is when I started my business, when I started my football academy, there's two main things that I looked at, right? Number one is building partnerships, okay? So how do we build partnerships in our local area where we can partner with either a club or an organization or even other coaches who have access to players? Now, what we don't want to do is we don't want to go into a club or an organization or to another coach and say, like, the intent is not to steal their clients or to steal their players, okay? Ultimately, what we want to do is we want to go into these organizations, these clubs or work with other coaches and we want to add value, okay? So something we want to do is we want to research what are these clubs or organizations not doing? What do they not offer? What do they not have? Okay? So this might be strength and conditioning training. This might be mental training. This might be confidence workshops for their players, right? So what are these organizations not doing that you can come in, do for them, add value and ultimately build a long term partnership with where they can refer clients or they can refer parents to you and then you ultimately make money, generate revenue and start to build and scale your business, okay? So that's the first thing. And then the second one is referrals, okay? So once we build those partnerships, once we built that, well, we're slowly building our client or our customer base, how can then we build a system inside that where we're getting referrals every month or every quarter and other parents are talking about us and referring other parents like minded parents into our academy.


the person who gets the top credit with the actors and one takes the text and plays with it I like to play with text I like multiple texts because of their reverberations and they're playing off one against the other so in Ramleela there are these layerings of Ramatex let's put it that way some of them behavioral like the bhajans and the dancing and so on some of them literary like the Ramshart Manus and Sambad and some of them ghost texts like the Ramayan which is not there but which is there because that's the source of the narrative so I like to take multiple texts and play with them off against each other and in that sense I like to think that from the most sophisticated spectator to the spectator with the least knowledge they can all have pleasure but it'll be a different pleasure it's rasa theory which we're talking about it's a different pleasure so if you know the story of O if you know that Pauline Rayage is really Honour du Clos and you know Honour du Clos history and the relationship to Jean Povert you'll have a different relationship to imagine though than if you don't know that or you only know it as a quote dirty book if you really know your Shakespeare and hear only the women's lines from all of Hamlet then every woman's line is spoken but no man's line is spoken you'll have it so when you hear all this yes my lord no my lord I thought you did my lord you'll hear Hamlet in a certain way his absence is his presence but you'll hear her really enunciating which if you play the scene with his speech of course she doesn't get much to say yes my lord I thought you did my lord but if you only hear that and then if you hear her present it as if she's Queen of Deserets II no my lord with that Queen way you'll have another reference so all of this so the more sophisticated you are I hope with me you'll match me and maybe exceed me in reference but my job also is to make sure that if you know none of that you're having a good time although that gives us the last question I'm not sure if this is a question oh better said than that as you've been speaking today some ideas from Alexander training have been resonating one is you can either have the experience or you can have the understanding and analysis of the experience but you can't have both I don't believe that I can tell the other one from his aphorisms is how can you do something you don't know if you keep on doing what you do know I just thought it might be fun to hear you play with that well first of all the first one I don't even remember what it was anymore but I don't agree with it it's like trying to be an experience in critical ever since I first read Brecht of critical position and experiences in a dialectical that is alternating relationship or simultaneous relationship or you know four brain doing one thing based on the brain doing the other so I don't believe that what was the second one how can you do something you don't know if you keep on doing what you do know well first of all I would say as a matter of principle ignorance to work with so whatever it is we do even if we think we know it well we're really ignorant about it I'm speaking the English language I think I know it pretty well I think I can handle it with great articulation I think I can construct a sentence but I don't know it I love the notion that so-called knowledge is like a little boat on an ocean of ignorance and it's the ocean of ignorance that is fascinating to tell it so I don't think of the dialectic between knowing and not knowing everything is not knowing and knowing is a bit of not knowing temporarily disguised as something else but it's still not knowing so even and what ritual teaches us is that even repeating something for the thousandth time it's different if one repeats it with a whole heart as you know if you enter into something so I don't see the distinction now I have to say that I've never practiced the Alexander technique to me Alexander is a Greek general I kind of admire his movement over into India at one point well I didn't I liked his teacher a lot Aristotle was his teacher so I don't have any direct experience for the Alexander technique so I'm just responding to your statement about his assertions not to the technique itself since I don't know it okay thank you Richard it's been wonderful thank you thank you one o'clock one o'clock thank you


For this What's Neat this week, it's February 2015 and man we got a good show for this month. Michael Buddy comes by with some of his latest auto rack creations using the Johns 3D vehicles that we've been getting from Germany. Also in the show, we cover the new P42 locomotive from Cato. This model's got the motors in the trucks, small coreless motors that actually perform very well even though they're only about a quarter of an inch in diameter. Also for this show, we cover the prototype modelers meet this past August in St. Louis. This show was an absolute packed show, great models, hundreds and hundreds of models. I've got a good interview with David Leibach from Tangent Scale Models and he goes into just a little bit of the philosophy of his company and how he arrives at the conclusion and the decision to design and come out with a product for the market. Also at the show, I ran into a couple of graffiti artists. The man's name is, I don't think I'm going to give his full name because it's still regarded as a criminal activity even though I've got to tell you I really don't think it is criminal. It's more of an artistry. He gave me a photograph of his girlfriend and the great effort that they go through to do their art. I didn't know it. He showed me a magazine. There's a whole industry created around the graffiti, around the tagging hobby if that's what you want to call it. These guys are professional artists and I mean they've got spray cans, they've got tip nozzles. There's trade shows on the subject for Heaven's Sakes. I had no idea that it was such a big fad. In fact I sent them home with a couple of large scale freight cars and asked them to paint their tags on them for me and they did a really beautiful job that I think is going to add a lot of color to the Garden Railroad. After the prototype modelers meet, Gary Christensen comes by and shows off some of his latest models that he's done in the last year. A couple of beautiful Santa Fe, BNSF locomotives and some freight cars and he explains in simple language and terms how it is that he arrived at the effects on the models. So enjoy this February 2015 What's Neat This Week. These are incredible looking auto racks with the loads, Mike. These are John's 3D from Germany and in the October What's Neat This Week we introduced these to all our viewers and I saw them for the first time and now these are some finished auto racks that you've completed with. Tell us what year these are and what it is that you've done, Mike. 76 Lincoln Mark IVs, I took one of the John 3D models, hollowed it out and made a resin mold and molded a bunch of these in resin and I painted them with different colors. Did the windows with Scotch tape. I also cast an interior from a custom metalwork 78 and pallet and I used that from inside of these cars and let's see I made the tires also from the 78 and pallet and I resin cast a bunch of those and painted them with the bare metal foil on them. That's it. Dude they're really awesome we really appreciate checking these out and thanks for the follow-up. Alright. You can really respond to that. This must be what Christmas looks like. Man it was beautiful. So when you have all these boxes of all these beautiful cars from Germany, oh my gosh look at this. Look at all these beautiful models. That's what Christmas looks like. Look at all those boxes. These are these cars from Germany that we featured on the show a few months back and now Mike and Dirk are going to do some pretty nice looking street scenes just judging from the happy smiles here. That's my favorite right there. Yeah. Cut it. Extend this for 8 feet. Those are printed. Look at these beautiful little end scale buildings for Bachman. Job I've just finished this past week, movie theater in end scale and impressive looking structure for sure. Look at that. This is the 4x4 pickup. Oh I didn't know you were having one. I didn't know you were having one. So what are you going to do with the cab? Working on an end scale Bachman shoot this afternoon. It's a really beautiful day for a shoot and these are the new end scale resin cast buildings that I'm trying to take a few shots of right now. A shot set up to do this one right here. Too much mold. A couple end scale cars and I'm in business. For this segment of What's Neat this week I wanted to kind of discuss and look at the new Kato Amtrak locomotive that they've come out with. What's unique about this locomotive, the curiosity that killed the cat for me, was the fact that no longer is the motor in the main housing of the locomotive, but it's down in the trucks.  Curiosity, like I said, killed the cat with me on this one. I couldn't wait to find out how well this design worked. Now it's nothing new on this dash nine, this Aristograph large scale dash nine. There's actually four trucks in this model, or four motors in this model. There's two models, or two motors in each pair of trucks on that. So there's four 12 volt motors on this and when you've got three of these running for the cars outside, I'm pulling probably close to seven amps of electricity. So I use pretty big fuses outside for that. But with the Kato design, it's much smaller. I took the locomotive apart. I got really close to the motor and look at this design. This motor isn't any more than a quarter of an inch in diameter. It's a, it's a Coralus motor. The new technology these days is Coralus motors. I know Bachman is using them in a lot of their locomotives. They run super smooth. They don't have to be very big and they've got a lot of torque. I put this locomotive through its paces and it really performed well. I ran it for about three hours. Both motors and the trucks never got hot and this thing weighs a lot. It weighs many ounces. So it was able to pull easily the Amtrak hot system, Walker's cars that I put behind it. So it's worth taking a look at. This Kato locomotive ran through its paces here, three hours of running. The motors didn't get hot. I think we've got a viable design now that other manufacturers may start looking at and coming out with similar types of designs. For this segment of What's Neat This Week, I've got Lionel Strang in my studio this afternoon. And Lionel, introduce yourself. Say hello to the What's Neat This Week folks that watch the show. This is so cool being on What's Neat This Week right here in your, I'm right here in your basement and I'm talking to everybody. Isn't that amazing? Hey everybody out there, how are you doing? I watched What's Neat This Week, I've watched every episode and now I'm actually on it. This is so cool. Well Lionel, you've got a pretty neat podcast. I listened to your interview last week with NEC and it was very informative. How is it doing? How's it going for you doing your podcast every month and tell us about your show? Well, the podcast is called Modelers Life. It's on iTunes, you can find it on iTunes and there's a Facebook page called Modelers Life podcast and I started it on August 1st and basically the theory was I felt that there was more to people than just their model railroading and I wanted to find out about their life as well. So we interviewed two people a month, around the first of the month and around the middle of the month and we have other things, we have viewer mail and other stuff like that but it's great. I mean we've talked to people like Marty McGurk, we've talked to Jim Scores from NCE, he was really interesting and I actually have interviewed Joe Fugate and that will be coming up middle of December and tonight before we did this we were interviewing Ken Patterson which I've been, I've been wanting to talk to Ken Patterson for years. Ken's name, he's well known and I've been wanting to talk to him forever and he's a fascinating guy so I'm looking forward to the, when that podcast comes out. I think we've had in the five months, by the end of the year we've had about 15,000 downloads. That's amazing, 15,000, you can start charging ad space with numbers like that. I hadn't even thought of that but that would be a good idea I guess wouldn't it? Yeah that's, well we'll see about that, I mean I'm still learning and sometimes the sound quality isn't great but yeah I'm really enjoying it, I mean model railroading has added so much to my life and now I'm getting to do this podcast and that's great. Now I know we see Lionel a lot on Railmasters TV. Train, trainmaster. I messed up Joe, I'm sorry. Trainmasters TV, working with Barry and we've seen you working with Miles Hale and a lot of different enjoyable projects that you guys work on. Tell us a little bit about that experience. The trainmasters is really cool, it's run by Barry Silverthorn. Joe Fugate had told me that he was looking to do some video and around the same time he got an email from Barry Silverthorn who was an experienced videographer and he wanted to do these videos but he had no way of distributing them. So the two of them got together and then Barry contacted me, he'd seen me on a few YouTube videos and said you'd be great at hosting these and I went no I wouldn't. He said yeah you'd be good and I said no I wouldn't. And finally he talked me into doing one of them and it's a lot of fun and I'm very you know I don't know if I'm particularly good at it but I certainly have the ability to speak up so that's a key quality I guess when you're hosting those videos and I've met lots of neat people. Miles Hale we did a lot with him and John Lawrence and yeah they're great and they're on Model Railroad Obvious and it's a subscription there's previews to see and there's a monthly or yearly subscription and it's a great great product. That's awesome now tell us again how do we find your podcast where what do we enter into our computer if you go to it's called Modelers Life so there's a Facebook page about it Modelers Life podcast and if you go to iTunes and just type in Modelers Life or if you type in my name Lionel Strang then it'll take you right to where the podcast is and then you can just download it from there. Well we all love you man we enjoy what you do we really like seeing you on the TV show with Joe Fugate and all the guys so just keep doing up the great work for us. All right well this is pretty cool though right here it's really cool. All right guys Lionel Strang he's the best. For this segment of What's Neat This Week I've got David Leobach from Tangent Models here at the St. Louis Prototype Modelers Weeks. Now you've seen a lot of David's models because Jeff Meyer shoots a lot and weathers a lot of his models for segments of the show but it's really nice to have a manufacturer here in St. Louis to talk to. So Dave tell us what is it that you've got that's new this year? Well first of all thanks a lot for letting me come and be on your show today. We've got a brand new covered hopper today it's called the General American Dry Flow Covered Hopper it was produced by General American Transportation Corporation in 1959 it was production for about four years it was bought by 16 railroads and many private operators and this is the first release of the car is available now so that's the first thing we've got today that's new. Tell me what else do you have well we also have our tank car which is right here from the steam era the car was produced first in 1929 it looks like it's almost an end-scale model it's really cool it's very well weighted and it runs extremely well but those lasted all the way up until the 80s believe it or not and revenue service and they're very weathered in the 80s they're kind of a cool opportunity for some neat modeling. So besides the General American Covered Hopper that we have and the General American Tank Car from the 20s we also have the Pullman Standard 4750 Covered Hopper available now in about 16 new paint schemes that we've released over the past three months. Right here at the show which is important for your show is we have released the 4750 in Union Pacific in Rock Island in CNW Banditized Rock Island and the NHX Creston Iowa pink car so there's four new paint schemes that were released right here at the prototype modelers meeting St. Louis. David you come out with such magnificent looking models they're so obscure they're like niche models how do you arrive at the decision to come out with something like this. Well to me it's a number of factors I think the first one is I spend a lot of time studying great cars. I've looked at books from everywhere you can think of like Penn Central or Erie, Lackawanna or Burlington Northern back and forwards through time so I go back to the steam era I look at steam era consists trains like Missouri Pacific steam there's many books by companies like Morning Sun that have lots of those action shots so I look at kind of what's the broader car audience or cars that are on the railroads and then I try to see like which cars haven't been done by other manufacturers because I don't feel like doing cars that are done by other manufacturers is a very good business strategy I try to focus on cars that are unique and different and can be executed well by my company and one of the things I look at besides era is kind of the different colors and paint schemes that I can put on the cars so that that can sell product so that's kind of where I head when I think about new product development. That's really inspiring. The fact is there's more room out in the water for any young guy who wants to do this but there's a learning curve it looks like Dave's got it pretty figured out. Dave I really appreciate you being in St. Louis and showing us the awesome models that you've made and you said you've made nine models now in the past seven years so I'd almost call you still sort of a newbie on the block but you really know what it isn't here doing and we appreciate what it is you've done for us so thank you. Oh you're welcome I I really enjoy to build prototype models myself I haven't built a lot of models recently because I spent a lot of time building this company but I hope to get back to that but really the truth here is that Tanger scale models company that's oriented towards the prototype modeler we're run by prototype modelers and we produce models that look awesome especially when you want to spend 50 hours of your own time decaling and weathering up or feeding up a model you might as well start with the best possible model that looks like the real thing before you weather it so afterwards it looks even better. Wow that is so well said one more time if you're gonna spend a hundred hours working on something why not work on something where you're starting with the best and that's kind of the point the smaller companies like what Dave has got here those are the guys that really focus on the prototype stuff that we really care about it's something that's expensive to do we appreciate the fact that they do it. Yep and we swim with sharks but we do it every day and we enjoy it so thanks for the opportunity again to be here Ken. Thanks a lot Dave. Thank you. DD 40 shot with the locomotive was moving well today we're upping the game by simply adding a big boy getting the drivers to spin we've got a crowd and we've recreated the excursion of number 4014 running the big boy rehab been running in all of its glory so today I'm working on that shot just to see how it's going to come out so let's let's see how this one turns out it's essentially the same shot that we did do with the DD 40 except for I've added a great deal of rail fans some automobiles that will blur out the shot but of course I've got the wheels and the big boy locomotive doing their thing and spinning so that on film at a creepy effect of the big boy rushing along on the excursion after this thing's been completely rehabbed and ready to go so we've recreated an event in time that hasn't happened yet but what a tribute to the big boy 4014 that's going to be running soon everything slides just like we did on the last shot so the theory is that when this thing's down and it's moving it's going to look like this puppy running check it out just like that it looks like she's moving did you catch that that last video clip was pretty amazing watching that locomotive moonwalk sliding that diorama on video in fact creates a whole new opportunity on how to videotape locomotives where they could be stationary and simply the scenery is going to move they really actually created a cool effect that I didn't realize until watching the same video that we just saw now why didn't I ruin the locomotive I used lots of Bachman easy lube on the wheels of the locomotive so that it would spin freely this is conductive lubricant and I use this on all the models and it's especially on the big boy wheels while she was sliding I had a couple nails out front holding it in place so now let me show you the way the photograph came out this is a photograph before any photoshopping was done to it you can see the blur effect that pretty much captured what we were after and then Chris Palomera's at athern added some smoke and this is the amazing results the smoke the spinning wheels tweak the blur effect on the automobiles in the foreground and boy I think I'll tell you what we've recreated the excursion of the big boy locomotive running in almost glory so thank you for watching this February's photographic tip Jeff, Gary, what are you guys doing here? What are you guys doing on here? This is a post rpm 2014 model she was one of some of my models we haven't seen Jeff's a man behind the lens some cars I haven't you know I haven't brought out before I'll tell you what this tank car looks pretty hot it's pretty crazy you know yeah gear how did how did you achieve that effect on this tank car you want to talk about how many tank cars lost their lives before I came to that effect it's pretty neat looking man it looks like it's sun faded on top well basically it's what I was trying to go after was a primer like a primer that had worn the paint worn down to the primer let's put it that way see a lot of that stuff because I guess the elements or whatever the contents of the car it's a four layer wash of ivory white acrylic it's pretty thin down and once it's done I see a little dull coat came back in along the edges to kind of get rid of the hard line of the white paint and brushed in basically kind of hard brushed in with a soft sable brush some black pastels to soften the edges you can see like some of the some of the brush strokes are left in there on purpose for the fact that that's what you're going to see on the cars like the paint almost peeled off in sheets so let's still get this off the edge I had some pastels and then sealed it all and came back in later to add to the rust that would come in on the top of the primer so man that looks spectacular it was the first time I ever did something like that so yeah I was kind of happy with the results when it was finished that's really nice man thank you very much for sharing it with us today thank you


Hello and welcome to the Big Data Deep Dive with theCUBE here on EMC-TV. I'm Richard Schlesinger and I'm here with Tech Industry Entrepreneur and Wikibon Analyst Dave Vellante and SiliconANGLE CEO and Editor-in-Chief John Furrier. We are discussing big data for a better world. How big data analysis can impact everything from farming methods in Uganda to policing patterns in New York City. So welcome to you guys, the CUBE guys, I appreciate you being with us. It's always fun to hear from you. Are people paying attention to the less fortunate, I mean to, you know, big data is a powerful tool but it's an expensive tool. Is there an awareness of that, that non-profits could use this technology, that technology for good is something to pay attention to? I mean I see definitely traction in this area and it starts with government 2.0 initiative we see with Obama which was, you know, an open government although, you know, people criticize that. It really has been a good effort and what you've seen with big data is, is the ability to use technology in a way that you don't have to be a super geek to do that. So we're seeing the role of a data scientist and other roles where people who understand solutions to problems can now use big data to solve those. So you don't have to be a big company and so you can get things done faster and you can ask new questions and solve those new problems. And you can do that on issues that improve the quality of life for people. Sure. I mean, well this concept of open government is a good one but of course it's selective. Some parts of government want to share their data, others, you know, like the budget office might and the NSA might not. And I think that is beginning to permeate to non-profits and others but this notion of crowd sourcing is what's fundamental to that concept. Because you get more people involved, more minds, you know, million heads rather than one. Right? Well the other thing that's happening in this part of this trend is the ability to do technology ventures has reduced because with open source technology the barriers to start something and create a new solution are much lower and now you have with big data the ability to actually cause change is very low. So it doesn't take a lot. It takes a little energy and you have a lot of people out there who want to do good and big data is a great path for helping people. And it takes data. And there's a lot of that. I wanted to talk about it because we found a group of data scientists who spend their weekends mining data for non-profits and NGOs. They call themselves data kind or the word that I love, generous geeks. So take a look at what they did recently on one of their free weekends. This weekend we're doing our first ever data dive. We decided to go on this mission and try to build this bridge between the data science community and non-profits, NGOs, international organizations and say what are your data problems and how could you use our help? Even if you know it will increase your yields does not make sense to invest in against other needs. For example, education of your children, maybe even feeding your children. We were hoping that we could have more brains involved in looking at our data and deciding what kind of practices are happening in the NYPD. Are they in fact discriminatory like we're hearing or are they not? Scientists have a great need right now to do analysis of data and there just aren't a lot of resources at those non-profits or at those government agencies to do those things. What I'm really optimistic about is that they'll actually be able to help us figure out ways that we can use new tools and technology to get data out to the rest of the world faster and easier. Our primary goal is that by the end of the weekend each one of these organizations has learned something new about the data that they brought here. Data scientists are completely turned on by data. The better, the cleaner, the newer, the fresher the data, the sexier it is. It's sexy if you can actually make a difference and that's what this data is. It's collected by people who want to make a difference for that goal. I'm a data scientist. I'm a graduate student in statistics. I'm a statistician. I'm a data analyst for Hedge Fund. I am a database engineer. I'm an epidemiologist. I'm a data scientist at an online dating site. This happens to be the skills that I have and a lot of these other folks have and we'd like to put into good use. Here's in doing the analysis-y stuff. We have a lot of data on the Wikipedia. I also have a PDF that explains what the actual value is not on our smartphones. You guys have a starting point on needing to criminalize the data. We need to get an SCP client on your computer and I actually realized I had one. Give me two minutes. Not gonna know what that means. Yeah, yeah. I'm 100% committed till midnight. That's the minimum cutoff for me. Closer to the end of the night, you feel more excited than you were at the start of the day and so now we just want to stay here longer. We have so much cool stuff. I'm looking forward to today's presentation because there's so much stuff that happened over the course of the last 24 hours that I don't even know about. We tried to do the latitude-longitude conversions in post-GIS. The problem really lies in the data provider level. There seem to be some kind of seasonal trend. The process is to assess it and the right data has been set up. The very significant thing that we're coming away with in terms of the actual work that was done here was a very clean package that is a building block for a lot of the work that we'll do in the future. It's gonna make it easier for my mother or my next door neighbor to lend to a woman so she could buy a sewing machine in Sub-Saharan Africa. Moving forward with the data, I'll feel stronger about the claims that I'm making and the kind of analyses that I'm running on the data. This organization is amazing. I think that's amazing that through big data I can connect with people that I'll never meet, I'll never see, and I can make an impact on their lives. It's really exciting to be able to do something that we think will actually improve the world. If you can be a little part of the machinery that affects change, I think that's kind of cool. I think my generation will have a good, sort of an important role in that. The idea of really being able to take these raw materials that are the data and bring them all the way through the process to where you can explain to someone exactly what's happening.  Thank you guys so much. It was awesome. I love watching that piece because it shows how data can be sort of democratized, and it can be used for everything. It doesn't have to be just for big business, for big enterprise, it can be for real good. Is there a sense in the AlphaGeek community, if you will, that there's a necessity to do this kind of work? I mean, is there a social conscience? Well, I think the open-source movement really underscores that social conscience. And I know I could speak from the standpoint of when we started Wikibon, we had two major inspirations. One was Jimmy Wales, we met in Boston, and he had started Wikipedia. And the other was Don Tapscott, who wrote a book called Wikonomics. And the fundamental premise of both of those initiatives was really share everything, collaboration, get the crowd involved, and make it open, and make it shareable. And I know, John, when you started SiliconANGLE, you had a similar philosophy. Yeah, I mean, there's an old expression in the social web, make things available, and that brings more people in. People call it freemium in the business side. But I think the AlphaGeek see things like this, because it's always a bottoms-up kind of organic growth and new technologies. And whether you're going back to the early days of Steve Jobs until when he took over Apple, think differently. The geeks can see possibilities in technologies. So here, you see geeks seeing the impact of education, impact of healthcare, impact of government. So there's a lot of involvement. I think really it's early, and not a lot of people know about it. There's more evangelization needs to be done around it. I wonder how much awareness there is in the nonprofit and the NGO community of the possibilities that... Well, the interview with Strata was amazing with Virginia. She really is applying big data, because what she's showing here is that... Virginia, tell us who Virginia is. Virginia is with... Virginia Carlson. Virginia Carlson, yeah. I can help you. Virginia Carlson. Many interviews we've done over 800 days. But she was one of my favorites with Strata. She's talking about how she's using big data to change the environment around providing care. And what's interesting is that all the data is available, but no one's ever rolled it up and actually look at what's happening. So this highlights a big trend that we're seeing where people actually can instrument their business or environment and actually look at actual data. This eliminates panels and surveys and guessing to go to actual data and actually do the right thing. Virginia Carlson works in the city of Chicago on what issues? Well, the issue is how the government spends their money to provide care to people who don't have a lot of means. And the money's wasted because people are guessing based upon some sort of statistical old data. She's using big data for us to look at real-time data, look at specific population and trend data and bring supplies and care to the people who need the most at the right time. And it used to be very difficult to do without big data. Now with big data, she's actually doing it. But she's having some problems, right? She's having some problems because not all the people want to continue that kind of funding. So, you know, this is where the alpha geeks see the possibility. This is truly a game-changing situation where it will completely change how the government disperses the money. Well, what's interesting about this interview that we're about to play is that she also talks about the kind of data that she can get now and how difficult it is. So I'll let you tee up. Introduce Virginia Carlson. Virginia Carlson, she's doing amazing things. We support her. Watch this video and think this is possible in every aspect of our life and on business to instrument actually what's going on and optimize for that. It's a great video. Take a watch. Okay, we're back live at Strada. We are in the afternoon program here at the Cube, SiliconANGLE.tv's flagship telecast where we go out to the top events and tech and explore and get the signal from the noise. Extract that and share that with you. And we're joined here with Virginia Carlson who's from Chicago, Metropolitan Chicago Information Center. You guys are a non-profit and you do a lot of work with data. So first welcome to the Cube. Thank you. And let's talk about data. So tell us your impressions of Strada and what's going on in the data world from your angle. Well, this is my second time at Strada. I was here last year and as I think a lot of people felt last year, it's so good to be together with the tribe where you can sit down and almost immediately get into a conversation about sort of universe versus sampling and everyone on the table understands what you're talking about. So it's fabulous to be here. What's happening? I mean, what's old and what's new? Because does all this talk about data? Warehouse and business intelligence, same story, new wine, different bottle, kind of whatever the metaphor you want to use. But we're seeing new trends like predictive analytics and real time or whatever that means on whatever parsed definition. So what's your angle on this? Where are we? I'll talk a little bit about where we sit. MCIC, the Chicago Information Center sits as a sort of funnel between big data and historical big data and the common good, public good organizations on the ground that would have needed those data. They still need those data. For example, anything from a local American Indian healthcare center that needs to understand where to open a new clinic to a larger philanthropic organization like the MacArthur Foundation who wants to know whether or not it's local community efforts are making a difference. So we try to do what we call the data intermediary piece, curate the data, analyze it, visualize it, give them the findings. Tell us from your perspective, because you have to go out and scour sources, find sources, because that's the drug. You need source of data. So tell us, what's it like out there? How did you find sources? Are they rolling in now? Is there intermediaries? Are you brokering the data? Are you a data broker? How does someone get sources? And what scrappiness you need? Street smarts you need? The historical perspective, we were founded 22 years ago to do 3,000 household survey projects every year because there wasn't enough data to do local planning and policy development. That went away in 2002 as more administrative and operational data became available from governments and as there was less... worse response rates from surveys basically. So turning to open data and sources at that point, 2002 you had to FOIA most of it, now there's the big open government movement and now sort of folks selling their souls, if you will, selling their private data to Facebook, Twitter, LinkedIn and all the rest of that. So from our perspective, big data is, I want to say a double-edged sword but it may be a single-edged sword and that as more and more data are collected by private sector companies, there is less available data for social service organizations that need public data to do public planning. Are you saying there's data hoarding going on? Are people hoarding the data? Do they want to just control it? It should be a show called Data Hoarders. That's actually a good cable show, we should run that. Data hoarders, data hoarders. Facebook, you're hoarding data.  They need to monetize what they're doing is selling you back your own data in the form of services and advertisements and that's how they're making money but what it's doing is it's sort of... Choking. Choking, there's a good word. Other sources of data that people might use that might be more public, less confidential and that drives things up for us and the Open Gov movement in particular is all about getting operational and administrative data from the federal and local governments. So how does someone get involved? The average person who cares about this because there are a lot of people who do care. If so much data is being made private, confidential, folks are giving away their data to Facebook, LinkedIn, Twitter, all the sort of big three, how can those data be used for social good? For example, if we could get Google search results on folks in different census tracts and what they're looking for as their vision is fading and use that to help the centers for, you know, guilt for the blind, figure out what sorts of vision impairments are going on. So my column, the conversation that needs to happen is with privacy and confidentiality, how can we get the private sector data into the hands of local people trying to work on common good problems? Well, let's explore that a little bit. What responsibility do you think companies like Facebook have and how do we get to that point? How do we get them to companies like that to share that data, to make it available? What role do they have to play? What would your message be to them if they're watching right now? Well, my dream would be that they would see this as a philanthropic opportunity. There are other ways to do that. A number of them have sort of a philanthropic arm where they'll lend out their data scientists for problems, but I'd like to suggest to them that their data is just as valuable as the skills that data scientists have. And we should begin a conversation around how and under what conditions privacy and confidentiality can be preserved at the same time that they start thinking about sort of letting the data free. I mean, if data wants to be free, as they say, let's use it for public good. Virginia, thanks for coming inside theCUBE. We personally care about this society, benefit.  The stuff that you're doing and your work is phenomenal. It's exactly the kind of use cases that the, I call commercial vendors, don't necessarily talk as they're not in that business of actually helping human beings, but in the healthcare example and or doing planning around making society a better place, big data can completely streamline and make so much more operational efficiency around stuff that's already existing, that data. So I personally believe in what you're doing. Thank you for sharing with us. Keep in touch with us. Let us know how we can get a hold of you because we want to promote your work. You know, it's interesting because she's, this is sort of the flip side of open government, which everybody thinks is a good idea, but she's suffering a little bit because of the open government and the concentration on open government. Why is that not the kind of information that she needs? She needs data that's real time, you know, that guides her to the solution now so that she can cut the waste and let's face it, we all know that there's a lot of waste and so she's being very bold with this initiative. She wants what a lot of people consider dry, statistical census type data. Absolutely and not the sample. She wants the whole corpus of data as we were talking about earlier. More is better. No sampling. Just give me everything. She kept talking to you. Tell us a little bit about what she said when the camera was turned off. Well, I don't want to really kind of go into too much detail and get her in trouble, but what she essentially was saying was she wants to provide that kind of data mashup because she's identified the ability to use real time information sets of data from silos and put them all into one together to provide real time value, but ultimately it's not just about the solutions, it's an obvious benefit, but there are people that are in her way and there's nothing to do with helping people. It's about the money. People who have the old way of controlling the money through initiatives and causes that were statistically being supported by bad data. So the bad data was driving a lot of the distribution of the money to help the needy. In this case, she has a real solution to show real data, to solve real problems in real time and it's being blocked. It always comes down to this one thing, information is power, right? She's threatening the status quo, she's disrupting it in a very positive way and this is why you're seeing an Occupy Wall Street movement, that's why you're seeing Twitter rise up. The crowdsourcing information is real time and it's powerful. And that's really, I mean, that's where the rubber meets the road if you will pardon the cliche. In big data, it's all about the power. Disruption, it's all about disruption. Well, thank you both. I mean, this has just been great. It's sort of a different way of looking at big data, we of course thank you boys, John and Dave, for your great insights and really, really good knowledge on all this stuff. And we have more installments of the big data deep dive coming up. So stay tuned to the conversation with my new best friends from the Cube right here on EMC TV.