Okay, good afternoon. Let's see. So this is how much time I have left, correct? So I have 40 minutes left. Okay, got it. Okay, first a little bit about me, I suppose. Which one goes next slide? There we go. Okay, a little bit about me first. So the first 13 slides are a little bit boring. I'm going to run through those and then we get interesting. So just to give you a summary of what this is about. So for the past five or six years, I've had one job only, which is within HPE and Microfocus is to fix big projects that have gone astray. And so it's been a global role. Indeed, that's not my real job, but apparently you need one of those people in anybody's organization, so that's been my role. So it's taken me sort of a lifetime of effort to get to that point where I can show up anywhere around the planet and sort of fix things. So we'll run through some scenarios, some factories in a smart city. But that, first off, a little bit about me. So I'm a big data and knowledge domain engineer who helps with smart cities and big sensor projects globally.  So I've been around the open groups since 2001. It was the first time I rolled into the door. I was actually at Micro at IBM. My boss made me show up to that. And so I've been doing it sort of ever since. So I've done a few boards. You can hear about the biotope. If you're here at the open group, you know that we're involved in some smart cities in Brussels, Lyon, Helsinki, and Peterborough. Explorico, which is a Norwegian high-tech incubator, and ArchMission.org. We do space and orbital projects. We're trying to, one more project. We're trying to build houses on Mars. So I get to involved in some pretty interesting things. I'm the chief VA for Vertica, which is a big data platform that supports enterprise and IoT data aggregation and analytics. I'm an imber riddle guy, so obviously a pilot in the aerospace industry. I did my graduate work at Wash University and raised seven kids. I live in Seattle. All my kids are millennials, which sort of matters, I suppose, for the next couple of slides. So that's a tunnel boring machine. So I travel for my work, and I'm responsible for doing solution oversight and latest trends in drivers that our biggest customers might care about. And so I'm supposed to make big organizations happy and successful with our projects. But essentially, my oldest kid of the seven is a civil engineer. So that's a tunnel boring machine. That's a 10-meter bore. You know, there's not much human assistance that happens once it gets going. There are sensors over the cutting edge of it, and essentially there's a wealth of 3D data material, of the material being excavated. So data is wired to some data storage to show progress, to improve machine maintenance and design. So first of May, I was taken off for a project in South Africa. It was a mining project, and he called and said, Dad, we have all kinds of data from doing this work. So he's got his masters and his PE and so on. He says, anyone can drill a hole. Elon Musk is drilling holes, in fact. He's building autonomous machines. He's not hiring civil and machine and mechanical engineers. He's doing it with software engineers. And he says, I wish there had been a data scientist. So I pause first. I kind of says, well, why? He says, well, I want to be able to correlate and forecast what we can do with all this data, because right now we don't know what to do with it. We hand it to data scientists, and we get tired of them, and we let them go after three months because they don't have the context of what happens in the geotech industry, inside of a mine or inside of a tunnel bore. So how can we repurpose and sell it? So that said, we have a massive IoT and double IoT gap. This is an opportunity there. So IoT is all about data that we couldn't capture or stream in the past. If you could have gotten onto the table and done the weather, well, then we probably would have put you underneath there a long time ago. So we put a sensor underneath there. We put sensors in places that you don't want to go or be that aren't safe. And so today we could do that. It's been commoditized, and now we have all kinds of data. So we can collect it. We can use analytics. We can predict it, prescribe it. We'll find the future state what we should do when we get there, and so on. So we collect all this data. What are we going to do with it? How do we manage this insight? So executives are thinking, hey, great. This is awesome. You have all this data. I want to know how to sell minerals or coal as I'm digging it. So we have gaps in sensors in the field. We need a lot more of these sensors. So I hear this number being patched around about 20 billion sensors by 2020. And in the oil and gas business, they'll say about 40.8 billion sensors will be around until by 2020. That's about a half a trillion dollar business globally. So we have a gap in sensors in the fields. We don't have enough of them. We need a lot more. We need to understand how to use the missing data to inform the business fast. And there's new roles to require. There's capabilities that are missing, and we have a people gap. And I would say that's our biggest gap. So who are these people who are going to do the work to collect prep and do this AI that Michael's been talking about to deliver value to the business and global market. So the capability gap is about data and people. It's not about BI. It's the hard industries and around the world. It's data to value. It's mining manufacturers and natural resources like water and gas in sunlight and be able to bring that data, that sensor data up to business value and make sense of it. So if you had all the IoT data and the people, what would you do with it? What's the opportunity? And so mindset and culture. The first thing you have to recognize that we've moved from digitization to digitalization and the fourth industrial revolution. So I look around the room and I won't expect you to raise your hand, but if you don't have pretty clear in your mind what the four design principles are of Industry 4.0, that tells me that you're probably not from the OT space and you're in the IT space. Because in the OT space, we live with it all the time. Every day, every pattern, every project we think about or are told about those design patterns. So we've got a gap in how we think about things. So data patterns are the requirements for agile, fast, successful design. Blueprints based on experience and academics are in fact a thing of the past. Data informs design today. There's no more design informs data. So you've got to see data versus a fabric, a 3D mesh. And you have to understand how to extract value quickly, cheaply and simply. The workforce is changing and it's got to be accepted as the only way forward as new generation is here. And so, you know, us old folks have given the new folks a problem and now we're going to have to figure out how we're going to fix this. So we have this gap between OT and IT. So building a data-driven world is forcing historical analogs in terms of the crisis. We've gone from horses to cars, typewriters and software factories to robots and now IoT measures what's missing. So now collect and prep it, correlate injected with value, model business strategy from global events and drivers and data and now data is an asset. So as we move forward, we've got to think about who's going to be performing this work for this new paradigm. So it's you, me and the millennials. I hear a lot of bad talk around the world about millennials. I'll say a few things about millennials. First off, we don't realize the volume. In South Africa, there's 15 million millennials. In the United States, there's 68 million millennials. In China, there's 440 million millennials. That's more than the population in the United States and Canada. Data and knowledge workers are critical to our foundation. We have to grow. We've got to constantly be making our children and coworkers aware of what's happening with data as we move into this fourth revolution, this digital age. If you're thinking about retiring at eight, going from working from 18 to 65, you're mistaken because people are living to be 120. You can't just get to 65, go on the dole and expect that you're going to arrive for the next 60 years. We're all going to be working this together to make sense of all this data and where we're going with it. So I'm going to give you three short stories and then I'm going to jump into the standard fair that we do at the Open Group to show you pictures and graphs. So these three stories will sort of limp at the colorful slides and then we'll get into the boring stuff. So I get projects that are broken and here's an example of three of them that I think kind of interesting over the past four years. So about 30,000 kids die in Kenya on the Horn of Africa from viral water. It's a disease called schistosomiosis. So the big consulting in the banks had gone into the government of Kenya and said we can provide a drill network that will solve this problem three to five years, putting significant debt on the citizens. So HP at the time, HPE, we were asked if we knew of a way to support a less costly infrastructure to provide time to value something fast so we set up a focus group. And there was a young 28-year-old engineer who said, you know it rains the most of the time in the springtime there. They have these things called long rains. They're 200 to 500 millimeters of water. And he said quite quickly, why don't we just pick up the water? Why drill for it when you can pick it up? So the solution was credit with starting a wave of startups, emergency management records, data telecoms saving some thousands lives the first year. What did we do? Well, because I'm an aerospace guy, one of my peers in college is now the chief arc at one of the data science lives with Airbus. And so I was able to get a flight of satellites, a constellation of three satellites to fly over Kenya, to provide us 11 passes of satellite aperture radar data. With those strip maps, we were able to download that into some HP pods at the time, which essentially little containerized data centers. With that we applied a GIS solution to that. We worked with a vendor that provided truck mounted solar operated filtering systems that would pick up water. So essentially we had to come up with a scheduling system so we could show the drivers where the water was. We worked with some NGOs to show people where the water was to make rally points. We helped to establish electronic medical rally points. Water was cleaned up and picked up and essentially people got healthier. So we predicted and created accurate data models. Data on population health movement, water recovery were created and provided those to the government. So this startup turned into a little bit of an industry. And now that practice I am told is actually proliferating. So that's the first one. Second was Nepal. What happened there? Oops. What happened there was that we had a failed telecom project. So I was out to come and have a look. And essentially what happened is that we did the same thing that I suppose that everyone would have done. Would have gone in and answered the questions for what data scientists wanted to know, collect a bunch of data, provide the answers to it. And the CEO decided that wasn't good enough. So essentially what happened was that CEO said he wasn't going to pay. So that makes sense. And so it doesn't pay, you react very quickly. So what I found is that we did just what everyone else did. We didn't sort of pay much attention to what was happening at the control plane within this telecom scenario. We paid attention to IT people, to data scientists in the business. And so essentially what we did is I went in and I built a team and we interviewed folks that were in the control plane, found out what they were doing, they were collecting, provided that to IT people and to data scientists and now provided a new set of questions that have delivered the answers to questions that they had at the strategic level based on global events and drivers from data that has been collected in the factory, if you will, of telecom space. The next one, I think I'm going backwards in slides, that's what's happening. I'm doing two at once. Oops, one more slide. So the next one that happened was, and my slides are out of order here. I'm going to do that with a slide. So the next one happened was with the Nepal project.  And so to help our story along, CEO was rather upset. He was actually trapped in a building for three days. And so I worked with a Swedish company, Swedish researchers. And what we did is that while we were fixing this data problem, we also collected all the cell phone location data and realized that we had some 300 people were killed actually looking for people who were trapped in buildings. So we started collecting all the location data for where all the cell phones were. And from that we created some models and essentially even if there's an earthquake we know where your cell phone is. We know the pattern of where you normally would be. And we provided that solution to folks. So New Zealand. So New Zealand, you're going to hear about that. And look at my slides whacked again. New Zealand, you're going to hear about that a couple of times. So essentially what happened there was we promised a safe city solution. We started out with some 700 traffic cameras. And a number of teams failed. And one of the reasons we failed is this goes to this data interoperability problem which you'll hear me talk about a couple of times. Data interoperability is this notion that they have 32 different camera models there. And with those 32 different camera models, what ultimately happened. I'm going to grab a glass of water. What ultimately happened with those 32 camera models is a problem that would happen if there's 18 people in the room here. I hope you don't mind me walking around. There's 18 people in the room here. And imagine what happens is if I gave you each $10,000 and I said, create an IoT gadget that gives you your date dime stamp, your first name, and the temperature, it produces that data every second. How many different data models would I have? Somebody yell out, there's 18 of you. 18. How would I do like to integrate 18 interfaces? You probably wouldn't like that. Do you want to pay for that? No, this client didn't either. So I had 700 traffic cameras by 32 manufacturers. And so by the end of the first Friday, I wasn't going to tolerate that either. So one standard became the way. So you can start off with the best standard of the room, but that's going to cost you time. So I started with a done the standard of the room. And ultimately, after a couple of weeks, all the cameras were working. And that turned into we're going to go to 7,000 cameras in northern New Zealand. And so I just got back from there a day before yesterday. So if I look a little bit weird, it's because I'm a little bit hairy from travel. But essentially, we did a number of projects there, but we'll go through some of those here in a few moments. So business to data driven. So what's happened with our little world in the last couple of years is the design has changed from tradition and authority and by academic leader to one where, imagine if you build a car with four wheels. The car with four wheels is not going to change, but the data will inform that design. It's not going to change the way that design is. And so business process is the same way. Business process is being challenged by data. So it becomes data driven design. And for the first time in history, you can't hide from how things are used because IoT gives you that missing data and you can see how it's actually doing. I actually know if you went home and watched YouTube for the weekend rather than going at work and working like a Trojan. So history and culture are traditional, typically informed policy in how we do things. We do it this way, this factory. We do it that way in this factory. IoT and big data and data driven changes how we do that in our cultures, communities, cities, business, and factories. So with that, now I'll jump into the more traditional stuff and I can put down my laptop and stop looking at it. It's good. So there's IoT and there's double IoT. And we often confuse that and I often hear IoT all the time. But IoT tends to be those things that are about personal stuff and IoT can deal with it pretty regularly because it looks like it's consumer oriented. And double IoT is that stuff that's more hardened and lives in the plant in the factory, if you will. And that definition that's up there is one that banded around an open platform three or four years ago and I've added a couple things to it. With capabilities increasingly seen as independent and autonomous, with an increasing demand for interoperability of other things often heterogeneous. The wires go away, folks. The BMW 2020 car doesn't have wires to break lights. It's all wireless. Things talk to each other. Design principle number four, Industry 4.0, means things talk to each other. Design principle number one is things are interoperable. And so that's the differences between the two. And so this is a list that I've kept up over the last couple of years of failing at projects because I do get to fail. I'm an iterative guy. I get into projects that are well over my head, experience and level, but they've failed so I get to fix them so I can go home. So I've learned a number of things. One is you've got to understand the OT IT culture, like my kid was saying. The reason we fire these IT guys that are data scientists is they don't know anything about geotech. Why would you? Michael, do you know anything about bulldozer parts? Why would you? Right? It's crazy. If you were in the aerospace business, why would you know what a mudball is? Does everyone in the room know what a mudball is? It's an asteroid that's got a bunch of water and mud into it. They're generally frozen. If you harvest them, you can take the water and go to Mars and have a glass of water. But not every data scientist knows that. So an aerospace engineer might know that. So this notion is we've got a variance between what we know. Reduce process variability and energy consumption. We talk about blockchain all the time. But how many people are roomed? Don't raise your hand. Know the cost of a blockchain transaction. Would you be surprised that the average is about $30 for transaction? Would you be further surprised that the PUE associated with a transaction can average $130? Well, it's because that's an abstraction. It's away from it. It's in the factory, if you will. So the idea of these observations are sort of my little list that you're welcome to take and steal from because essentially I've never had a creative thought in my life. I steal from everyone. But some of those topics look pretty interesting and might be things that you think about regularly. One, improve ability to attract a modern workforce. Having seven kids, I've seen everything as they've gotten out in the workforce. And I have a, well, it's tough to say when your kids are doing stuff, but I have a offspring that went into a well-known famous companies that you would think that young PhDs would want to have jobs there. And when she went to the interview, she happened to stop by the men's bathroom and then the women's bathroom and decided she wasn't going to work there because workers weren't treated fair. One of the things about millennials that I can tell you from experience is they're not going to tolerate that sort of childless childishness. We have to treat people fairly. And what you see in the OTI team merging is this notion about treating people fairly. In my world, I get to go into coal mines in South Africa and factories all over China. And in that space, I see lots of things. And as an American sort of traveling around globally, you sort of have a viewpoint about what you might think is fair. And that certainly plays out in my work with dealing with OT and IT. The notion of creating continuous improvement programs, and Michael has mentioned a little bit of that, is you're going to fail at things. You're going to come up with what you think are good AI or machine learning metrics. As you get there, you're going to, on your mode one, or your first phase one, it's not going to be very good in phase two and three. It'll continuously improve. That last one, number 11, is critical. Enterprise event correlation time to evaluate traceability, both top down and bottom up are critical to the story for the rest of this talk. Here's a few buzzwords. If you scan down through them, they're mostly kind of interesting. I'm going to pick up on a few. For this discussion, you should probably know what an M1, M2, that should be an M3 machine is. An M1 is a machine that's probably created before about 1985. It doesn't have much other than electromechanical sensors on it. M2s have a have modern day sensors put on them. And M3 are native today, industrial IoT, 2018 machines, essentially those robot things that you see with three or four axis arms. They're built in IoT.  So time to value HPC, which is health performance capacity, are things to think about. Time, latency, and interoperability, the three vectors that you most care about when it comes to big data. When you're moving from OT to IT, scaling is different. In IT, you don't typically think about petabytes, but it happens all the time in the OT world. We typically don't keep things for more than a shift or two. Dev Null is our friend. I hear real-time, I've heard it about six times the last couple of days. Real-time is not happening at about anyone you know, folks. Unless you're dealing with microOS, which is a real-time OS and a time-sensitive network, you're really talking about near real-time. And getting that perception sort of clear, I think, is important. And last on this page, I think I want to mention vocabulary taxonomy, reasoners. Michael, you called reasoners another word. But this is a notion of applying logic to your local ontology. That's an important concept for IT people to get. You're going to have words that are used in a factory, and you need to take car and automobile and build an equivalency out of that. That's going to take a reasoner to apply logic to car and automobile to understand that both of them are motor vehicles. Not necessarily a motor vehicle, they're just vehicles. They could be battery-driven. And to drive those to taxonomies. And Ron talks about that a lot in terms of what we can do with ODEP. This is a linearity. It's a pretty simple one. You'll see a sensor on the far left. This is an IIT sensor. We use Kafka a lot to stream up to about 1,200 streams of sensors from around the business ecosystem. Time series, typically, discrete mathematics is the most common thing that I do. A linear regression with three to five points of confidence intervals is the most common thing I do. Probably 90% of the time, that's the math I do. When I get to the control plane of the edge, I do curation because I can't send all that factory data to IT. They would smother with it. So what I do is I curate it. I moderate that data and essentially use some SQL or some kind of code to send a small portion of that data on a regular and periodic basis to IT in the business. And their geospatial, asset management, maturity, date time, vocabulary are sort of updated. We can enrich the data with weather data, what's happening in the business, and so on. And ultimately now present to the space of a business data warehouse where analytics contribute to business value in the presentation layer. Quick graphic here. It's about driving scale. The more data you have, the better prediction you have. It's about getting large populations of things. Everyone should take a couple of classes and statistics to understand if I talk about 20 days, there's very little I can say about months. If I have six days, there's very little I can say about the population of days. It's certainly not a population of days or weeks. And so on, understanding scale and value there is critical because the more data you have, the more machine learning accuracy you can get. That collection there of six algorithms are the most common ones that I use in my work, in the OT to IT world to describe assets, to predict them, and ultimately to prescribe what's happening with them. And some other time we can go through what they all mean, but I think probably logistic regression is the most important one. Increasingly for my work in the traffic world, support vector matrices, eigenvectors, eigenmatrices has been critical to my survival. Those three little graphics, essentially, you're gonna want it to data defines process or modifies as I said earlier. I like a lot of SQL because business people want time to value faster. Most business executives that I know can't write a word of Python, they can't understand what to do in a dup so I give it to them in SQL as quickly as I can. The more structure you can apply to a network, the faster time the value is. 60 to 80% of data's life cycle is involved in preparation, trying to homogenize it in some way to give it structure. That's a cost and a loss to the business. You should understand that. That should go away. These days I see about 12 data prep people per data scientist. That's horrible. It should be about one to one and hopefully we'll get to the world within Michael's lifetime. There will be no data practitioners. There will be spitting out data from sensors that looks like it comes from a common taxonomy by industry vertical. And the last is less movement. This is about data lakes. The idea is get data as close as you can to the context to where it was generated. If you move it across the edge, it's going to cost you a latency. It's also going to cost you because it's like we talked about the geotech folks. If you're not a data scientist that has an undergraduate degree in civil engineering and you're getting that data, you probably have a problem from day one. Leave the data where it sits. Apply metadata as close to you can to it and then to ship the value across the edge and to correlate the value. Some use cases for factories. So IT and OT, I claim, are merging. It's painful if that is for the people who are in the OPAP. It's happening today. Millennials, 38-year-old folks are showing up as CEOs. And what they're saying is, why do I want to have a department for my factory and another department for IT? And I'll tell you the truth. In 1998, I was working for IBM and I didn't know what IT people were because the portion of IT that I worked in was all mechanical, electrical engineers. We made robots. We had linear robots that go in these things called net store boxes and I thought the electricians brought us our machines because they wired up everything. They were wiring 220 and 440, 12 volt and 48 volts and handed us laptops. And so all of a sudden a couple of years later I learned about IT people. And so I come from a world. I've never worked for a CIO. I've always worked for the Vice President of Production or one of those outfits. And so I come from the OT space. And so in this world, in the OT world there's condition monitoring which is the this is what people do in OT day in, day out is about understanding the conditioning of machines to keep them up all the time. Preventive maintenance, prescriptive maintenance, using machine learning, a kind of AI to prescribe what's going to happen in the future and event correlation. Taking lots of events that are happening within the factory and more than one factory to figure out what we should do in the future. And I'll show you. This is a quick picture. This is like a weekly picture for me. This was in Taipei two weeks ago. You'll see some funny names of very common sensors. The i-Series sensors by Fanuk is probably the cheapest, the most common sensor that I see in China these days. And essentially this is for a CNC shop. They produce machines that are sawing and cutting and bluing and taping and shaping of materials. And so those CME machines, they get events called crashes where the machines can sometimes destroy themselves. And so we'll collect data for individual machines and push it into an edge server, little boxes that live on the edge. And they have some data store capability that will store data for a shift. So we're looking for essentially maintenance problems that can happen within a shift and fix them. And then we'll save off some events for a longer period of time. And then we're producing that data for the control plane. For people that get HMI, human machine interfaces, where they're reading off that data. And increasingly, we're curating that data to go off to IT in the business in order to help them to do business work. Forecasts what's happening with multiple factories, for instance. So that's a very common picture that you'll see. Now this gets a little bit more noisier because this is the work of every day of my life. You'll see a factory on the left that's doing a product movement around the factory. You'll see some axles that look like they have bearings on them with sensors on each one of them. It's nothing to go into a factory in China or tie along with a million sensors in them.  That's what they look like with discrete time series. So I'm taking that content on the left and then I have many kinds of machines in the factory. When you look to the right, you're seeing essentially a random distribution of events for different kinds of machines or series embedded with them. I also get involved with digital twins is how to model those in software so I can help prescribe or predict us in the future using machine learning. And so those are the two patterns. And frankly right there is 90% of what I do with AI in factory these days. A couple of quickies, not to dwell on them. Other than Michael, where it says challenge, the last sentence, I put that in there for you. How big is 1.5 petabytes of data? It's 90,000 large pizzas or 75 tons of pepperoni pizzas. The deal is that when you get involved with OTIT value, you get a monster bit of value. Whereas you're separately dealing with OT and IT, you just don't get as much. It's amazing how much... And so in this case, this particular project generated $14 million of value in a short period of time. It required 50% less data scientists than they thought they would need to get some 287% return on investment. That's the value is when you merge OT and IT together. This is a couple of organizations like this but essentially I get these little small factories like this and they don't have much shelving there. There's not much place for parts. They want just in time everything. So they want to forecast what's going to happen tomorrow, next week, next month, next year and then to build their cost models out for that. And so we can help them go in. I'm sorry, there's a name of a product in there in a company. Forget that. That's my mistake. But essentially I go in to help us model those kinds of solutions. So here's one with some kind of personal devices, personal IoT. Look at the size of numbers we're getting per day per month. 20 to 30 million individual training sessions a month, a billion data points. I'm commonly seeing record stores in the trillions now. That sounds crazy but we have to curate that and that data is coming from factories, it's coming from the field, being driven to IoT. So we have to curate that effectively. So understanding the context of that data so you can move it efficiently back to the business is critical. Let's get on a little bit of smart study content. I think everyone in the room has probably seen this picture. If you've not, this is Kerry Framling, Dr. Kerry Framling's picture from about, I guess it's been around now, five or six years now. But this is the biotope. And so Ron and every number of the other folks in the room here have been involved in this project for some years. This is five smart cities, Brussels, Lyon, Helsinki and Peterborough. And essentially it started off with things like emptying the trash more efficiently, dealing with crowdsourced lighting, smart buildings, having over pressure inside of buildings, dealing with some microgrid issues and smart meters, being more efficient or effective with motor controllers and air conditioners. And so we go to smart cities around Europe with this story. And so about four months ago I was in Brussels and we have 124 different parking lots there and helping them consider using ODEF with ODF and OMI for that implementation. So a couple of things I've learned. You probably won't see this in any books, but this is sort of my view of life. This is what it's like working for a big company. Executives take global events, drivers and data. They write some strategies, get some capabilities, hire some roles, human systems and machines, create some services and workers do some stuff. If you don't like it, you can go someplace else. The goal is sustainable profit, not about your happiness, folks. Let's look at this picture. This is a city. You flip that triangle upside down. Citizens are at the top because a citizen, a city is about making people happy. They don't like it. They'll vote out the leaders or move to another town or city. So citizens essentially vote for leaders based on policies of things the leaders providing, their services, roles, capability. It looks like that previous picture upside down. So that's something to think about as we do the differences between smart cities and our factories. They're imagining that governments can be run like businesses, but they can't. So this is my list, like the one you saw earlier, what citizens want. They want to be happy. They want to be safe. They want to have access to data and knowledge. They want to help and actually improve their community. They want to have a say. People move to cities I claim to get education and help the next generation, their kids. They want to be able to reject what they want. They want to be able to protest and be upset about things that they don't like. They want to use technology to request services. They want their city to work like their homes, schools and offices. They don't want a police state where cameras are watching the RV move, but they want to be safe. And so they'll take a lot of that. In Moscow, there's 450,000 cameras in the CCTV system. That's about 10,000 cameras in Northern Auckland. But people are not rebelling against it because they see value in safety. So people will trade this notion of being watched that they can see value that's being returned to them. And essentially that last sentence I think is important because it's one of the hallmarks of the digital era. People want to be able to participate fully in the city life to be able to access services. 54% of millennials don't want to own a car. They would rather have good public transportation. People don't want to be lonely. So safe cities. Safe cities is a subset of smart cities I've gotten involved in a few of those. This is one that had concepts like license plate reading, video processing, specialized cameras for finding out the kinds of things people are carrying over their shoulder around their waist, emergency 911, parking centers and so on. And so you can see that just looking the size of that not very many citizens there, about a million and a half, about 4,000 traffic cameras and so on. But I've gotten involved with that. And one of the things I've learned to be successful in this space, public meetings are required. Whoever was trained to be an EA or an engineer to do public meetings, I do. In fact, I've been to them when people were upset through pieces of bread at us. At least they don't throw tomatoes and shoes. But people want to say, and they expect when you go and especially you're fixing a thing, that you understand what's going on. They want to ask someone who knows what's going on. Citizens will not tolerate someone in a suit going out there and just telling them a story. They want to know the value. So this is a little AI story. Essentially what happens is that once we put in smart cameras and smart traffic lights and so on, I wanted to see some application of AI. Citizens are asking for this. So the problems I mentioned earlier, heterogeneous cameras, all these different data streams, they are asking questions like, when's the best time to ride the bus when it's raining or snowing, when it's afraid next week, and when I have trouble getting on the bus, how many people are going to be on the bus and so on. And new data sources and models, you start with the Goldilocks model as Michael mentioned, you want to add new models on top of it. How do you do this? And how do you do it prescriptively? So on the left you'll see, essentially these little AI stories that I do are three steps, collecting lots of data and data sources, hoping for heterogeneity. I have to spend a lot of time doing data prep to ingest prep and then process the data and ultimately visualize it to value. So here's a little one. This is about a two week little project to essentially collect 10 years worth of tickets, 10 years worth of weather data, current data upon weather, current ridership on buses from sensors that are on the bus, current sensors saying how many people are on buses, and ticket sales of buses today and for year to date. And with that we're able to predict 80% confidence, plus or minus one rider on the bus. And you can go to this particular city, I don't think I've said who it is, or I'll be guessing the picture. You can go to the website and you can actually tell how many people are on the bus based on this little application. So that's machine learning. So this is a conceptual architecture. I use it a lot. This was done in Russia for a company that has a Megan cell phone towers. And these conceptual architectures are great for EAs because you can essentially show value within a couple of hours. You've got Stratage all the way down to the sensor. And now let's apply an AI model onto it. So where those smart towers, smart cell phone towers are reporting data, we don't have the bandwidth to support all the data that they're getting, that they're gathering in the field from weather, vibration data, manious data, galvanic action, decay of the towers, angles and azimuth and elevation of the antennas, their GPS signals and so on. We don't have time or the space for all that. So what we do is we curate that data and send that on to the business so they can understand how performance capacity from the business. Now, I don't want you to see that, but I want you to see the shape of it because that's important in a minute. That's actually my implementation of an open platform. There are seven different vendors there, all of which don't care about that platform. But to have an open platform, it should look like a cloud, or excuse me, it should look like a service catalog. It should allow people to pick things that they want based on their role and there should be some complex things underneath it. Some of those are in cloud, some of them aren't. Some of them are in cloudlets. There's big data. There's smart traffic. There's parking sensors. There's emergency 911. There's different kinds of camera systems and all that, all behind an open platform.  And this is about reselling data. I now have clients based on a talk we did in Berlin a couple of years ago. We helped New York City sell their big data. And so this is a process model we came up with. It turns out it actually works. You're welcome to have it. So some conceptual architectures. Those boxes right now are what I do for a living. I start with executives who have strategy. I make sure it's connected to global events, market drivers, and my data. I make sure it's traceable using Togaf down to capabilities, down to human systems, machines, and sensors, down to service catalog and the platforms, to some microservices or full-time big services, to data stores which are essentially containers of data that comes up from down below. I use some industry-forwarded design principles to a data model for many sensors. And then I go back up the stack. I can start with the sensor vendors, start from the sensor and go up the stack and do the same thing. If you've not for me with capability modeling, this is a couple of samples right there. You can read this as your leisure. So between IT for IT and doing some capability modeling, this comes from 2007. This is Betsy Burton's worth with the Gardner. I do these like every month. The beauty of capability modeling is it has nothing to do with org charts. It has everything to do with what the work is you think you do at a company. This is open platform three for not for me with the model. You can go on the website and see it. But essentially, you're going to see global events and drivers strategy capability maps. And from there, you'll see human systems and machines and look under third platforms. You're going to see what Gardner was calling nexus of forces. We've sort of made it our thing by putting IoT in there and so on. But this is where your data stores and analytics are actually coming from at the IT layer. And beneath that's the open business data lake. And the beauty of that is is that you can have all your different data sources being addressed to a service. So sensors may be dumping data into HDFS or Wide Store Analytics Engineer or Call Store or some database or file system. And from there, we can address it up the stack. Someone said it earlier. I typically say IoT eats cloud. And that happens certainly in many areas like the Nordics, Asia and Africa where clouds are thousands of miles away. And so we do these locally. Processing is local. Loss of 60% of IoT, I said this earlier. It's important to remember this. Cost latency and interoperability. Interoperability is the biggest probably have. It's the thing that we least talk about. I mentioned this earlier, ODEF, O-M-I-N-O-D-E-F. It's a clever picture in that it indicates all the capabilities that those three standards can use. And a couple last pictures. This is the edge about the middle of this diagram. Sensors on the left go on to curation engines. There's essentially some kind of a data store or flat file that's collecting the sensor data and curating it. So we're not sending big data. We're sending right data or curated data to the edge to our enterprise data warehouse where we're enriching the data with other data sources using Kafka in fact to business value. I showed this picture earlier but just to get that essentially big data in the IoT world is three processes. Sensors to ingestion preparation process onto visualization. And that's the same model upside vertical but you'll see the control plane down at the bottom where OT is. You'll see the edge there. There's a bunch of different kinds of sensors and all those little words that you see that you heard the last couple days.  I'll explain them if you ask me individually. And all that goes up the stack and you'll note that it goes up the strategy and you'll see smart products off the left where customers are and the data comes back down where services are and delivers back down to the edge. I find that a useful picture for executives that try to understand this fabric. Last slide. This is the Internet Industrial Consortium. I'm doing that at IIconsortium.org and there are 29 test beds there. The IIC is not a standards board. Essentially it's vendors who get together to show how things work with multiple products with multiple vendors. You have IBM, HP, Microsoft, Oracle, unlikely friends working together to show the value of a particular area and you go online and find those. And essentially by doing that they can help to show the value of their solution and there's an implied, there's a reference architecture that comes out of it. There's 14 verticals that come out of that space. And I'll mention on the far right I have asset to ontology, to reasoner, to vocabulary, to structure data and taxonomy and that's the order that you'll find it. Now I'm not spending any time on that today but this is a critical story and consistent time to value is the way we want to play this. So in that, that's kind of the story of smart cities and some factories of what I've been doing the last couple of years. So thanks very much.


So good afternoon as he said I do work with about 200 school districts across the country and I spend a lot of my time training teachers who are just beginning with Moodle And I find that many times when teachers are just getting started that they want to Fill their courses with all of the files that they're currently using and it becomes this long list of files Just a repository type course and I tend to call those courses document dumps so I like to find ways to Make it so that the course is not a document dump And so I looked at gamification and games-based learning which are two very popular Topics in the world of education right now. We're hearing more and more about them all the time So that's what I'm going to show you how you what you could do with your Moodle courses How many of you are teachers because this is very much directed at teachers? Okay, quite a few teachers wonderful first I want to define gamification and games-based learning because you hear those a lot and want to differentiate between the two Gamification involves adding those game-like elements to your courses So we'll look at what the game-like elements are in just a bit But obviously games-based learning is using just games now if you think about it You can use games in a course that's been gamified But just because you use games does not mean that you have a gamified course So think about that for a minute and it will become clear So first what is a game we've all played? Monopoly and all sorts of games now there's a variety of different Video games video game learning is very popular as well So it's going to be a set of rules There's going to be players those players are sometimes involved with the in a conflict between each other are they're competing against the computer But it's a very structured experience. There's rules. There's there's goals. You're making progress throughout the game and Throughout the game. There's all sorts of techniques that have been built in that are going to motivate the player to continue playing the game So when we talk about the game-like elements that we want to blend into our courses You're going to see things like interactivity very very important to the learning process Instant feedback also extremely important feedback is critical in our courses and the sooner it happens the more likely the student is to learn Progress indicators most games have Something that is going to show students how far they've come how far they have to go And it's very important to them and it's very much a motivational factor if they know they only have a little bit to do to finish that particular level Also time limits. I find that students today are digital learners Enjoy competing against a time limit. So we're going to look at how you can make that happen in your courses repetition many ways that Repetition can be used in Moodle courses and we know repetition is sometimes necessary for our students to master Concept concepts to the point of automaticity Games also Unveil levels at a time So they hold things back and you don't get to have this bit of information or play this part of the game Until you have completed the certain other level There's also going to be scoreboards along the way leader boards if you will Sometimes there's badges and different awards that the learners are that the game players will earn And there's also often social interaction. So we're going to take a look at how all of these things can be combined into your Moodle courses We're going to look at some third-party modules So these are things that you can add to your courses and I've used many of these for several years So they are good solid supported third-party plugins that I think that you will enjoy And we're also going to look at some Just standard Moodle features that are a part of core So first we're going to talk about the games module and I have a link there my presentation is available through the website and You're going to be able to just go straight to the modules by clicking on those links that I've embedded in the presentation But the crossword puzzle is one of those things that you can create with the games module Once you do once you create your glossaries in Moodle You can then say Insert a game whatever type of game it is that you want to choose from the games module I'll let you create I think seven or eight different games such as crossword hangman Snakes and ladders type games hidden pictures those sorts of things So you just simply insert it and say create now if any of you have ever tried to create a crossword Puzzle on your own It's not a fun experience even if you're using the tool like Discovery schools puzzle maker those sorts of things is going to take a bit of time So Moodle takes all the work out of that another great thing about the games module is it does give the students instant feedback So it's graded you can allow students to take it as many times as They need to to master that particular content and You could set it to record the highest grade so it does interface with the grade books So if you choose to take a grade on these types of activities, you certainly can Gonna show you one other Game that you can create with the games module and that is the millionaire type game now This doesn't interface with the glossary this one pulls from your quizzes So the the questions in your quizzes are going to become a game So notice that you have 50 50 you have phone of friend you have asked the audience you have all of those Options that are available to you students love this again This can't also be counted for a grade and they have to continue to Answer questions until they miss one and then they have to start all over so lots of repetition in this game So it's a great way for students to study and try to master that information Then we have quiz venture not a part of the games module. This is a separate module It's called quiz venture and it interfaces with the test Questions as well. So the quiz questions are going to be integrated into this. This is sort of a space invader style game students use the space bar to shoot the Aliens I suppose they are the alien ships out of the sky and they use the arrow keys to navigate to move back and forth Kids are very good at that. I am not terribly good at that. So you can also create games in hot potatoes You've probably seen the hot pot module in Moodle while hot pot is referring to hot potatoes And if you go to if you Google a half-baked software company hot potatoes You will find free software that you can download. It's free for all educators and you are able to Create simple games Probably five or six different games. I believe it is and It's a very simple system. You just fill in the blanks very templated type of site or a software And once you've created your games in hot potatoes you then upload them to Moodle through the hot pot module and They interface with your Moodle course and with the Moodle grade book which makes these also graded activities so here you can see I have what they call their J match game is the one on the top and Simply students will be dragging and dropping things into place It gives them feedback along the way if they're correct They can take it as many times as they need to to master it You can set it, you know all of those features in Moodle that allow you to allow students to Complete an activity more than one time Then we also have the one on the bottom is an example of what they call the J close notice the little question marks The student clicks on the question mark. They're going to be given a hint There's also even a hit hint button at the bottom of the page and each time the student asks for a hint It's going to give them the next letter It does deduct points if they choose to use the hints Those are all things that you can add to Moodle or upload to Moodle You can also there the web is just full of all sorts of different tools that you can embed in Moodle all sorts of interactive web 2.0 tools the example that I have here is Quizlet and I absolutely love Quizlet. It does so many different things, but I'm not going to spend time talking about it now But you know there are you can create talking avatars. There's you know all sorts of different sites that allow students to Study vocabulary online Start looking for that Share button or the embed button and look for that code and you can embed those easily into your Moodle courses making them more interactive Quizzes can also be interactive and I find that that many teachers Mastered the quiz module and they're able to then create some basic Quizzes they never go past the deferred P feedback type of question format But interactive quizzes allow you to give the student more than one try So you can see they make a selection then they click the check button to see if they're correct If they're correct it will tell them if it's not correct is going to give them some feedback or some hints and then they have a try again button and the Try again the number of times that they are allowed to try again Depends upon how many hints that you have placed in the questions So when you see the hints at the bottom Teachers will say it doesn't work I put in all those hints and those hints never show up anywhere you have to select the Interactive mode with multiple tries when you're setting up the quiz and then it will work beautifully time test In the timing section when you're setting up your test you are able to set a time limit and I would encourage you to Do it on paper and pencil and then try to do it on the test on the computer at the same time And you'll find that it takes a little bit more time to navigate between the questions and those sorts of things So just adjust your times accordingly But I tend to use time tests for things that students I want them to master to the point of automaticity that they can't give me the answer So quickly without even thinking about it. So the automaticity is Something that can really be achieved through those time test another one of Moodle's built-in features task completion and If you haven't started using Task completion, I really do encourage you to do so It generates some fabulous reports So that you can see at a glance where your students are in the course or in the unit of instruction So I really do encourage you to take a look at that If you're new to the idea of task completion if you look you're going to see the different activities And you'll see that there's a check box that's placed there You are able to set conditions Upon which that checkbox is going to be checked and the activity will be considered complete for example if a student has Viewed an item Perhaps that's all it is if it's something that you need them to view it could be a certain criteria that you've established on a test So you will set those criteria and then it will check those office students go It's a good visual indicator indicator for students Monitoring their progress through the course of the unit, but it's also produces some great reports for teachers and I also have the progress bar and I like to add that to my courses it is the third-party module and It gives students a very visual indication of What they're going you know what they're doing how far they've progressed it's going to either be? Green which means they've completed it. It's going to be blue meaning that it's something that they need to be working on Because the due dates coming up or it's going to be read to indicate a due date so the teacher sets this up simply by editing the block and Connecting due dates to the particular assignments that she wants to appear on that particular bar you can also use course completion and with course completion Notice of course you have to set up. What are the? Requirements that are going to indicate that course has been completed and then you're able to drop in the course completion box and Students are able to see exactly how far they've come And how far they need to go badges and awards badges of course are a part of Moodle core and You are able to connect specific badges to a specific activity or a series of activities Maybe you want to tie it to a test After they completed a series of activities and the badges will then display on the user's profile page and It also integrates and can be exported into other systems as well such as open badges those sorts of things the certificate that you see is also a third-party module and It creates a wonderful Printable certificate You can edit and make the borders look whatever you know, whatever color you want You can upload a watermark. You can require a signature And it's also going to be based upon Whatever requirements that that you have set for your particular course. So that comes in real handy Not only for students like to get certificates if you're using your courses it offered teacher professional development It's a good way to monitor and track teacher professional development as well Scoreboards scoreboards and leaderboards are often found in games You can use the quiz results block in Moodle to display The top however many scores in this case. I've selected the top three scores You can also select the lowest three scores to display. I would not do that. I don't recommend that I like to encourage the students so You know as the students are starting to master the content they see on the board You know, maybe someone's ahead of them and they do want to make sure that they Catch up as quickly as possible. So those scoreboards are good and you can have as many of those blocks as you would like I've seen you know teachers put in one for every test that they give so that it's always they're invisible You know, you might want to delete them or hide them as Time goes on so that your course doesn't get too full, but that's a great way to Sort of motivate the students to go on then unveiling task and levels I talked about how things are held back in games and if you use conditional access in your courses and and Develop your courses in such a way that things are presented in a leveled system So start with the easiest move on to something that's harder and then harder and so on and so forth You'll notice here that You know, I'm viewing this as a teacher and I can see things that are grayed out And I can see the they weren't able to take the level one test Until they had marked the crazy cone activity had been marked completely done So I was using completion tracking and conditional access at the same time Notice level two is not going to be even available to them You can make the whole summary section or the whole topic area Conditional as well so that they can't even see that topic until they're they have completed level one so Great way to unveil those levels Then you have peer interaction The chat module is wonderful and I encourage you to use it. It's sometimes Neglected teachers don't know what to do with it You know included in a unit of instruction and leave it open and allow students to Go there and chat about the topic and there's a beautiful chat history that's kept So you don't have to worry about students aren't are going to say something inappropriate You'll be able to monitor that quite closely if you need to and also the comments block and The comments block can be inserted on any Moodle page so you could have a different comments block on Each activity page if you choose so that students could discuss that particular activity Okay, if you would like to see a game-ified course, I'm not going to open up the course here this is how you will do it you will go to this URL and Create an account and then you will Click that URL there to enter the course and then the password to get into the course is going to be game and You'll see I made it very simple. It's multiplication facts so that you can experience what a game-ified course is As a student you'll be able to go through two different levels so go there and you'll see all of these features That I've used in that particular course Okay, what questions do you have for me? Yes, I like to base them upon whatever it is that they're studying Whatever the goal is Maybe possibly do different levels. You're at a level one of Moodle mastery Now you've progressed to level two so on and so forth that seems to work quite well Any other questions? Anybody want to try this? Yes, if you go to the Moodle plug-ins directory You'll be it's it's on Moodle.org You'll be able to see all of the plugins and you should be able to search for games and find them. Yes No Those particularly will also sink into the Renweb grade book Okay Any other questions? Okay. Thank you very much


Hello students! This is Shayna from EspressoEnglish.net and today I want to share with you three new plans and projects that I have for Espresso English in 2015. Now the first one is already online. It's the Espresso English podcast. I'm recording audio lessons and making them available for free on the podcast so that you can listen to them, download them to your smartphone or MP3 player, and take Espresso English lessons with you anywhere so that you can learn and practice your listening anytime. Just visit EspressoEnglish.net slash podcast to download all of the episodes that are already available. The second big project is this. This is my new HD video camera and this year I'm planning to record video of myself actually teaching. One of my plans for 2015 is to take all of the current Espresso English courses and improve them. So I'll add extra lessons on new topics. I'll include some video of myself actually teaching and presenting the lesson and I'll make some other improvements based on student suggestions. So I know a lot of you have enjoyed the Espresso English courses and this year they're going to get even better. The third major project I have for 2015 is something called Espresso English premium lessons. Premium lessons will be a monthly subscription program where I'll teach you English based on current events, interesting topics and conversations between native speakers. So in these lessons you're going to learn all of the areas of English together, grammar, vocabulary, reading and listening, conversational English, idiomatic expressions, phrasal verbs and much more. It will be a way for you to improve your English continuously in all the different areas of the language. So the premium lesson program will start around April of this year and I'll send you more information soon by email. So those are my three plans for Espresso English in 2015. The Espresso English podcast which is already online and available at espressoenglish.net. More video lessons with myself teaching and presenting on video and the premium lesson program which will start in April. Keep an eye on your email because there will be a discount if you join the program early. I hope you're as excited as I am about these three plans for Espresso English. Stay tuned, keep reading my emails and I look forward to helping you improve your English in 2015.


South Africa, located at the southern tip of the African continent, offers a diverse range of attractions for tourists, with a stunning coastline stretching over 29-48 kilometers. It is bordered by the Indian Ocean and the Atlantic Ocean. The country shares land borders with Namibia, Botswana, Zimbabwe, Mozambique, and Swaziland. South Africa has three capital cities. Pretoria, Executive, Cape Town, Legislative, and Blom Fontaine, Judicial. Johannesburg, situated in the Gouten province, is the largest urban area and a thriving hub of commerce. Within South Africa lies the kingdom of Lesotho. A small mountainous country that forms an enclave, the current population of South Africa is approximately 61 million. 487,816. The majority of South Africans, about 80%, identify as Christian, while 15% have no religious affiliation. And the remaining 5% practice Islam, Hinduism, Judaism, or other faiths. The country guarantees freedom of religion through its constitution. South Africa is a parliamentary republic with a three-tier system of government and an independent judiciary. The parliament of South Africa holds legislative authority. And Cyril Ramaphosa is the current president, elected in February 2018. The country's history dates back to the Khoisan, the first inhabitants of Southern Africa who faced displacement by subsequent waves of settlers, including the Bantu people. The population of South Africa is culturally diverse, with various ethnic groups. The Zulu, Exosei, Bapidi, North Sotho, Botswana, South Nibali, Basotho, South Sotho, Venda. Zonga and Swazi are among the major ethnic groups, primarily speaking Southern Bantu languages. The colored population, concentrated in the Cape region, has a mixed ethnic background, including indigenous South Africans, whites, Grecois, and Asians. The white African population known as Afrikaners, or English South Africans, traces their ancestry to Dutch, German, French Huguenot, English, Portuguese, and other European settlers. South Africa's diverse cultural landscape has earned it the nickname Rainbow Nation. The country has a significant linguistic diversity, with 11 official languages, including English, Afrikaans, and 9 ethnic languages. English is the most widely spoken language and is used for official business and commerce. South Africa's history includes the establishment of Cape Town by the Netherlands in 1652, British control in 1806, and the unification of four colonies to create South Africa in 1910. The country is renowned for its struggle against apartheid, a system of institutionalized racial segregation and discrimination, which lasted from 1948 to 1994. South Africa's economy thrives on various exports, including gems, precious metals, mineral fuels, vehicles, iron, steel, machinery, and computers. The currency of South Africa is the South African Rand, issued by the South African Reserve Bank. When it comes to lifestyle, South Africa offers a captivating blend of experiences. The country has a vibrant nightlife scene, especially in cities like Johannesburg and Cape Town, where clubs, bars, and live music venues cater to diverse tastes. Its extensive coastline provides beautiful beaches for sunbathing and water sports, while its cuisine is a fusion of flavors influenced by various cultures. The music scene encompasses genres like afrobeat, jazz, kwaito, and gospel, with renowned musicians making their mark internationally. South Africans are passionate about sports, with major events like the Cape Town Cycle Tour, Comrade's Marathon, and Durban July attracting participants and spectators. The country has produced iconic sporting figures, including Nelson Mandela, who use sports to promote unity and athletes like Caster Semenya, Wade Van Nykirk, and Sia Kolesi, who have achieved global recognition. South Africa's tourism highlights included iconic attractions like Table Mountain, Kruger National Park, Robin Island, the Blyde River Canyon, the Garden Route, and historic landmarks in Johannesburg. Wildlife enthusiasts can embark on thrilling safari adventures and witness diverse species, including the Big Five. In summary, South Africa's diverse landscapes, cultural richness, wildlife, and captivating attractions make it an enchanting destination for travelers. Its history, cultural heritage, and natural wonders provide a wealth of experiences for visitors to explore and enjoy.


Yeah, it's mom's turn season. You know what that means? What? That's called looking the other window. The storm is actually coming. Yeah. How many windows are there you got? Look how dark it is. It's only four o'clock. A water rescue. Why are people driving in that water? Oh. Let me turn off the clothes captioning. You're okay, baby. If it gets bad, you can sleep with mommy and daddy, okay? It's gonna be even worse than this. Jamie was like, Jamie's looking at the news. She's like, is this Florida? Look at that storm. Oh my God. Get a record. I don't think they're going to be able to see it as much, boo boo. Y'all ain't going to be able to see it. All that brown right there is a dust storm. Where is it? Is this in Mesa? Look at that. Oh my goodness. Is that in Phoenix? Baby, yes, we're still in Phoenix. So that right there is a dust storm and it's coming. So when people are driving in that dust storm, there's zero visibility. I've been in one. It's horrible. It's almost like being in it. It's completely dark when you're in the middle of it. Yep, they all blew over here. The floaties didn't blow anywhere. So, y'all, it's been about an hour since the first storm has hit. This is what it's looking like now. It's looking a little windy. Yeah, it's still a little windy. I don't want to be out here too much, boo boo, because it can start thundering and lightening. Any time I come over there, like I told y'all these last couple of weeks, I've just been, I haven't been myself. I've been a little bit of depressed. A little bit of depressed. A little bit of depressed. A little bit of depressed. A little bit of depressed. A little bit of anxious and some anxiety. And it has to do with my trip back to Texas. Y'all, I'm going to try really hard not to cry. And I want to say it's positive and uplift, you know, as possible. But I was looking at another YouTuber. And I have seen her video before. She lives out here in Phoenix. And so she commented on a very old video of mine. So she's like, oh my God, another blogger in AZ. Subscribe. And I go, cool, I'm going to subscribe. And I saw that she has a couple of different videos. I believe her YouTube name is Dwelling in the Desert. I'll put her, you know, channel down below. Great content. She does a lot of things with her kids, her children. I believe she has three kids. I saw two women in the video, but I also think she just had a baby. She's Congolese, if I remember correctly, lived in Dallas before coming here, which is really ironic. She did comment on her video that we have a lot in common. Living in Dallas, but she absolutely loves it here. She has tons of videos on why she love it here.  She loves the outdoors. And I'm looking at her stuff and I'm like, I don't feel the same. Absolutely happy for her, but I was also sad for myself because I don't feel that way out here, y'all. I don't have any other interaction with other women besides the brunch I go to a few times a year. I don't have any other adults besides my best friend. Yes, I am an introvert, but I don't mind interacting with people. You know, I think as humans we have that my husband doesn't. He is an extreme introvert. He has not made any friends out here at all. I was starting to get a little depressed over the course of the, you know, 24 hours. I had to get myself out of that and not focus on the negative. Yes, I don't like it here. So instead of focusing on what I don't like, let's focus on some things and turn this negative into a positive. So, y'all, I'm about to make some energy balls. Now, I've made these. I'm sorry, y'all.  I need to get over it. I am silly if you don't know by now. I'm going to be making some energy balls. I have made these before using just different type of ingredients. And I like them. Sometimes I get a sweet tooth and this hits the mark for me. You can use anything. There's a variety of different type of recipes you can find online. This is what I'm going to be using. Some chocolate chips. Sweetened coconut flakes. You can get unsweetened. I'm having some flaxseed. A little bit of honey. Some Quaker Oats. And some peanut butter. Now, I did have some dates in there, but they were looking a little suspect. Even though dates can last for a long time. It's just dried fruit. I did have some dates in there, but this is a lot. I think I know what to do. It's been a while since I've done this, but I think I know what to do. This is what the mixture looks like. Now, I limit myself to these, you guys. Like I said, I don't know what it is, but it made my husband a little sick. He has some digestive problems. I think it was due to the flaxseed. Flaxseed, of course, is a fiber. I'm good with it. All you would do for now is roll them up in balls, place them in the fridge, and then I'm going to put them in Ziploc bags and eat them throughout the week. Now, I do limit myself, like I said earlier. Maybe the most I'll eat is two. So, I may make these on the medium size size. When I first made them, they were big. Yeah, on the medium size size, one to two every other day. And this will last me all week. Yummy, yummy, yummy. All right, y'all. So, this is our office, now I've been putting a lot of our homeschooling stuff in here, and as you can tell by now, girl, it is packed. I have stuff overflowing at this point. I even have some stuff in my guest bedroom. So, I purchased a six cube bookcase. I think I'm going to put it right here. Yeah, I'm going to move for an impromptu mukbang. I know me need a girl. Let me see what's on TV. Y'all work is so slow. I cleaned up the catalog, yelling at people. I'm yelling at people. Helping Christine, gossiping with Christine. I know, I feel like it's the calm before the storm, because we get really busy.  I got a salad from Panera Bread. I haven't been eating a lot of greens, so I'm going to grocery shopping tomorrow. I'm going to make sure to get a bunch of lettuce and stuff to make my own salads at home. This is their spicy chicken salad. It's really good. Let me go get a fork, y'all. That's annoying. Yeah, y'all today, just focusing on getting the stuff organized, because I want to do it before JV is here. Because JV is going to be a big girl. JV is a boss. I'm not trying to do this stuff with this child, so this is a lot of salad. Maybe I should have gotten half a salad. Yeah, so that's why I did all the shopping today. I want him trying to dictate what I should buy. He's so dang on bossy. I didn't know 5-year-olds could be this bossy. Excuse me, 5 and a half. He's quick to correct you. Someone asked me if he was 5. He said 5 and a half. No, I'm 5 and a half, ma'am.  He's so funny, y'all. I'm going to even eat all of this. I'll see if my husband wants some. Now, look. I'll be watching people, y'all. I'm very observant. So, when I was at getting my salad, I noticed a young man who was in the back working, right? And then he came out from behind the counter and started ordering. He ordered him something to eat. Why? Okay, he had on gloves, right? The plastic gloves which he used to handle food. Why didn't he start touching the gang-on credit card thingy? You better not be touching my food with that. You need to change gloves. That's another small YouTuber I want y'all to follow. Ms. Rhonda told me about her. Her name is Donna's Journey. She's from the south. Is she from Atlanta or does she live in Atlanta? She's funny, y'all. I like her. She's an old soul. She's an older woman. I think she's over 45. She may be in her early 50s. You can't tell by black women. Black women, even any given day, we can be anywhere between 25 and 45. You never know how old someone is. So, I don't even try to guess. But I know she has an adult daughter. So, she has to be in her late 40s, early 50s. So, I'm binge watching how to get away with murder night, y'all. Everyone was so crazy about it when it first started, but I didn't want to watch it. That's the type of person I am. I don't follow trends. I'll wait... I'll wait damn near 10 years later. Before that, I binge watched Happy Valley, which was really good. I had to pay for that, though. I mean, Happy Valley is a BBC show. It was really hard for me at first to pick up on the accents, which was surprising with me because I watched Keeping Up With Appearances almost every day. That's what I watched to help them to fall asleep, right? But their accents were almost like they were mumbling. And, of course, everyone's from different regions. But a couple of them I could not understand. So, after I got through the first few episodes, I was able to pick up more of their accents. The dialects, I should say, were a little difficult for me to understand, but there's something in here I don't like. I think it's these carrots. I've never liked them. They're not cooked. And they're big. They might use shredded carrots. And I think they're like roasted or something. Something about it is not good. I'm gonna write them a letter. Tell them to use shredded carrots instead. I'm not doing that. No. They're getting on my nerves. No. I'm not saying about that. Oh, my God. It's more work. All you have to do is worry about yourself. Well, maybe you could maybe you could just go out with someone and just not, you know, get serious, though. It's gonna be a lot harder, you know. I just got off the phone with my friend Snow. My friend Snow is an older Vietnamese woman. And I used to work with her when I worked at David's Bridal Girl.  So, y'all heard it. She has a strong accent, but I can understand her. She's been retired, but now she's living comfortable. And so she is traveling, girl. She was in Vietnam for two weeks. Then she said she went to Hawaii from one week. Then she went to California. And so I was like, okay. You know, maybe we need to get together because I have these jackets still and she has a dress to mine. She's like, okay. Well, contact me after Labor Day. I started laughing. I said after Labor Day. I'm like, oh my God, but she started laughing. She said I'm kidding. She's like me in August next month. We can meet up next month. She is such a jewel, y'all. She's so funny. She actually is the one who also altered my wedding dress for me. She's altered a lot of my clothes. This is Mozart. Y'all listen to Mozart. I introduced JB to a variety of music. For homeschooling this week, we're going to be focusing on rock and roll and blues. I think it goes hand in hand. Really, rock and roll came from blues. And so with this song, y'all have heard him sing the hook to this song. But what I did is I showed him Patti LaBelle and I showed him Fantasia. This is where it really came from. So with the Fantasia one, he's like, I like all the screaming. He's like, I like all her screaming. I said that most people do baby. Most people not all. So it's Friday. It's season two season. We're going to be in it. So it's like chances of rain up until Tuesday. I like this song. I used to play this for JB. And then later on, we're just going to go to Chick-fil-A so that he can play indoors. I don't want to be outside because it's dusty too. And then tomorrow, we're going to go to another indoor. But this Sunday, I'm going to try out the new church. And yes, Rhonda, AKA Ms. Delightbow. Tomorrow is love to play. Just send me if you can remember, sis. I'm going to send you a text message here. Y'all, Ms. Delightbow is another YouTuber. Y'all, keep her in your prayer. She lost her job this week. But she is a praying woman. And her faith is strong. I am very impressed, sis. Because my faith isn't all the way there yet. I'm just being real. I'm not all the way there yet. Now, I wouldn't be worried about not finding another job if I ever lost my job. I wouldn't be worried about that. My whole thing would be about why didn't they want me? That's where I would be at. It wouldn't even be about the money. It would be mentally, why didn't they want me? Why me? It would be the self pity, why me? But she's doing really good. She's staying very, very positive. But again, keep her in your prayers. And I know you're going to get a job, sis. Remember what we talked about. We know what's happening. We have a new church on Sunday. The one I was telling you about. Y'all were telling y'all about. And that's it. This is going to be another long vlog. But I think y'all like that. Yes, this morning I submitted my payment to Ratchet-O'-Canon. And my new camera she beat here next week. What? Yeah, we saw what. Oh, you kids did? Wasn't close. Just far away. Girl, I am so afraid of lightning.  When it was storm in East Texas my big mama would be like, turn off the TV. Oh, I know what you're talking about, baby. My big mama would be like, turn off the TV. Sit down. Don't touch no paper. Don't take a bath.  Don't get on the phone.  We couldn't do anything, but sit there and be quiet. I'm out running around all morning. All day. Not all morning. It is 5 o'clock. Almost 6 o'clock. Put that back, sweetheart. It's about to storm again. I took my hair down because it is very frizzy. Look at that shrinkage. That's crazy. Because I'm going to go ahead and twist it up. And then it will be frizzy and like this. Because it's humid too. But I'm going to go ahead and set my hair and twist. I'm going to show y'all the homeschooling area. And I'm still waiting on my books. Sorry, y'all. I ordered about 10 books through thriftedbooks.com. The books only cost me $50. I think that's a good deal. For 10 books? Yeah, that's it. What is that? Oh, the pool supplies. These are things that I have gathered over the course of a year. So over here, I have my printer table. There's really nothing in these drawers related to homeschooling. But I have all of our books that we're going over just from the past two weeks or so. These are enlisted books. I am, sweetheart. These are enlisted books for the library. And then these are enlisted books that are his books. And these are, of course, not all his books. He has a little mini library in the back there. Between 40 and 50 books. Hold on, sweetheart. I'm going to show them. And this crate here, I purchased this crate at Walmart for less than $5. And I have some hanging folders here. This is how I'm going to map out my week curriculum. And other moms have done this. And I've seen Pinterest diagrams of this. And it's basically going to be an example. This will be a week one, week two, week three, week four. This is going to be for 12 weeks straight. And then I'll rotate it for the following weeks. Now through that, sweetheart. And this is the bookshelf, bookcase, excuse me, that I purchased through Wayfair that goes back over here. Thank you. And so I have some bands here I got from the Dollar Tree. And this right here is basically for me to throw stuff in. This has markers and stuff. If I don't have time to organize them, I'll take it out and put things where they need to go. We have his hot dots here. A collection of pens, highlighters and Sharpies, pencils. Some of his heart books, excuse me, heart books, including the Bob books. I think I'm going to get to more Bob books, but we just need to go through this set. He has tons of books. And this mesh like compartment, and this came with the actual bookcase. And includes things like blocks. I have some popsicle sticks that I got from the Dollar Tree. They have sight words on them, numbers. I have some pom poms. There are some pipe cleaners. Don't do that, sweetheart. Put that back. Some sight word books are down here. Now when the books come in that I ordered from thrifted books, they're going to go here, here and there. So what's down here, sweetheart? We got some name puzzles. Name your name puzzles? Sight word cards. That's what I got from school. Yeah. I found them in your backpack. And we got some more sight word cards. Yeah. So this has all of his flash cards. And I did order some books. African centered flash cards that are coming in. I got them from Etsy. Yeah. And then all his crayons are in here. Okay. I got some books down here. Some sight word books. Pick up that paper clip. See something like this. I'll just throw in there for now. And I'll go look at that later on. We have some maps here. We have a world map. And then we have a map of the U.S. And then we have... Africa. So I purchased all this stuff through Amazon a while back. And then my neighbors gave us a bunch of stuff about two years to go for a dictionary. Right here I have just a plain notebook. It's what I'm going to be doing to map out the curriculum. And in these drawers I have more supplies here to stuff up your land. And these two are nothing but workbooks. I tell you, I probably have about about 20... about 30 workbooks. 30 workbooks. Some different things here. Yeah. So y'all, I'm excited. I'm excited to create this and to share it with you guys. I will be sharing everything on my blog. This is good to a cookie sheet from the Dollar Tree. Y'all, I wanted to show you real quick some of the books I purchased through thriftedbooks.com. Now I purchased a total of 12 books. It only cost me $56 including shipping. So the first one is A Learning While Black by Janice Hale. And I'll be putting these below in the description box. I can tell right now this is only half the order. I have six more books that are coming. Afro American Folklore The African American Experience and History. Now I can really tell that a lot of these are schoolbooks. And it will basically college or high school books. History of Africa. This looks like awesome. And then we have A Kids Guide to African American History. Then last we have Africa and World History from Pre-History to the Present. Now the reason why I have multiple books on the same topics because one may not cover one may have different information. Also just to knock out any type of bias because I will let you know right now there is nothing like oral history. Some of the things that my husband tells me about his country when we look in the history books is not correct because he's from the country his elders have talked about what has happened and so we have people writing stuff in other countries when the source is not reliable so I like to get different books on similar subjects excuse me the same subjects to compare and contrast. So the books that I have coming up at least five of them are still African related and one of them is excuse me the subject is Africa and one of them is about SAT words. Y'all I'm in JB's room. I am so tired. We have been out we went to go get his haircut oh I went to get his haircut at 10. We got back at 3 o'clock doing all types of stuff. I took him to an indoor playground which I didn't take y'all with me because we've been there before and then we went grocery shopping. Are you going to show me what Bendy looks like baby? It's about the storm here and right now I'm in his room because I purchased him. Y'all check sales out right now. They're getting ready for fall look the color is coming in. By the way this would be the last time crossed my fingers hopefully that I'm using this camera to vlog. It's because my new camera was just shipped off I should get it on Thursday anyway um what was I was saying Walmart changes out the summer clothes for fall right now and so they put all the summer clothes and so for nothing.  I'm going to show y'all what I got him for Trish tomorrow. We're going to be going to go into our old Trish tomorrow because I know I'm going to be tired in the morning. It's I'm exhausted um and I'm not going to want to drive for the the church I want to check out is pretty far I believe. He looks like right there. The new church so um okay. I'll check that church out this month girl probably at the end of the month. Okay baby I'll show y'all what what I'm cooking for dinner very simple black and cat fish some um smashed mashed no no mashed sweet potatoes you can't tell I'm tired. Mashed sweet potatoes since the spinach tomorrow I'm doing salad with some buffalo chicken wings or I don't know I'm tired. This animal looks like worst. I don't know why you look at that scary stuff so I want to make up JB a little cute he loves these bow ties y'all it's gotten out out of control. Baby I'm filming I'm going to show y'all what I told him that hold on y'all come on baby I'm sorry show me what it is give me a sweetheart that's what he looks like okay oh wow okay the one that kind of looks like Mickey Mouse a little bit okay um y'all let your kids talk I know a lot of parents like to cut their children off because they're children but I try not to do that unless he's really just over talking me I try to let him speak. Alright y'all let me put all this fabric out and see what we're going to do hard hey so I want to make him a double bow tie which is like this this is like a double bow tie isn't this cute um this is my favorite one though. I'll make you one baby one like that see that's cute and oh here's the fabric all the different fabrics I'm trying to think of so what I think I'm going to do is it's too much white so I'm not going to do this white here this is a white fabric we ain't going to do that um I'm thinking of I definitely want this plaid to be a bow tie and perhaps I want to do a good solid color I think gray would be too much um I think the blue would be good yeah go with a ratchet ass color and again look at me we're going to talk about those compression socks in a minute girl just stopping this watching claws this last episode was weird as hell I'm glad I recorded because I fast forward this time and I'm going to watch Power Tomorrow when JB is not here girl I watch both claws and when he is here I keep my mineral control in my head because I have to fast forward through all that inappropriate stuff y'all I'm sorry um maybe I'm old fashioned I don't want to see people have sex on TV this is not porn hub there's no reason why you should be showing full blown making out S.E.X. scenes at 6 o'clock my time I don't want to see that so I fast forward all through all that drama anyway girl oh my compression socks so yeah I wear compression socks on both legs because I have a little bit of varicose veins on my left leg and I've had it all my life basically I know it's hereditary and due to your girl being a little fluffy but look it was really giving me some problems in church today um but thank god I can take medication and you know it'll go away the pain won't subside but I got on google like a dang gone fool and started researching varicose veins and whatever whatever and there are some ties to birth control pills which hormonally you know any changes in your hormones can be tied to circulation and varicose veins y'all I'm thinking about getting off these birth control pills I'm thinking about getting my tubes tied because when I went to go see my OBGYN last year the nurse practitioner was like you shouldn't even be on birth control pills she's like yes they reduce your chances of cancer you know and it's good to be on it up until your 40 but um someone is having a history of blood pressure high blood pressure um then you don't need to be on anything like that and so I really am thinking I'm going to go ahead and get off of them not only because of that because I am on medication for blood pressure and it's been in check it's been really good ever since I've been on it but these pills are horrible I am a little less string fee and quiet as it kept I got pregnant on these pills because well there's been other women too we've gotten pregnant on these pills because my cycle is not consistent I know TMI but yeah I'm going to go ahead y'all plus I'm going to be 38 next year I'm not going to want to take birth control pills for the next however I stop doing this madness yeah y'all I'm just going to go ahead and get my tubes tied I think I'm going to get it done in the fall and just take a week off work but real quick hell I was on Instagram one of the mornings because I was sidetracked by Tami Romans the one that does the bunnet whatever diaries or whatever y'all know what I'm talking about from real old school real world and now she's on the basketball wives what is wrong with her is she sick and I know people would have asked this before but I am truly concerned I understand she has diabetes and she lost weight at the advice of her doctor I guess but there's a difference between losing weight and getting healthy she looks unhealthy her cheekbones are sunken and the picture I saw she's like oh you can see my collarbone I'm like oh my god but you don't look good she has that my head is too big for my body because I lost too much weight too fast y'all know what I'm talking about I'm not trying to be shady or be petty that's not my disposition oh she's not sick I like her the few times I've seen videos of her I like her I think she's funny but oh my god she I was a little shocked I mean I took a good while to go through her pictures if that's what you know what the look that she desires for more power to her that what makes her happy you know but girl so anyway y'all let me push up around and take out my compression socks and look I've been doing natural stuff on my legs I do cypress oil tea tree oil but what really helps when I have the time is castor packs but girl who has the time for that and it's messy so right before see ya it looks really good right now right before I go to bed I'm gonna put some um tea tree oil in it on it and I stick with my legs elevated just because I've been doing it since I got back home my surgery but y'all girl we gonna get these tubes tight burn cause this look we are not having any more kids and I have a friend she's my age and she just had a baby that baby is beautiful and I tell you that it's a beautiful beautiful baby but more power to you because she's just she's just posted the other day that she can't sleep I don't know what I would I have no idea what I would do if I was 38 years old for a new one girl I would there's not enough alcohol in the world so alright you guys I am rambling this is it for this camera like I said I'm gonna lay hands on my camera when she come back oh and by the way they did say they gonna give me the exact type of camera that's been refurbished we gonna see about that we have some mashed sweet potatoes some spinach carrots catfish and some cornbread y'all some of this stuff is redundant because I'm cooking what I have in the fridge the only thing I had to buy today was the catfish everything else I had in the fridge or in the pantry the cornbread and I just cook what I had on hand