All right, everybody. My name is Fausto from Cybertree University. How's everybody doing this beautiful afternoon? Let me just get a chat back. You guys can hear me a lot of clear. Just want to get the chat and see if I look at everything over here. There we go. Perfect. All right. Good, good, good. Well, let me tell you, what a great afternoon. Did you see what was happening in the market today? Oh my God, let me just bring up a couple of stocks over here and share what's going on over here. Great, great movers. Very, very simple. Just a little chart right here. We had the stock RWLK start at nine o'clock this morning. We're from $1.50 all the way to 270. Another big winner. This one was up $12. There's some news came out with Amazon, with this company. And the pre-market ran from like $12 to $14 up to about $40. CRVS had a nice push going to the close. Nine o'clock this morning was at $5.50. Look, I think we ran all the way to almost $10, $9.50 to the close.  This thing was, this was great going into the close. ENSI, two o'clock ran from $3.50, all the way to $4.50. And then it ran all the way. And it's still running after hours up to $5.50. LPTX, wow, this thing had a nice push. Great short, right at the close. And we had this one on another cheap one, $22 to $35. So anyway, this is what we do here at Cybertrain University. Leno said it's been, the market is crazy. Yes, I mean, listen, you know what it is every day's an adventure at Cybertrain University. And this is what I'm looking to do. I want to educate all of you here to teach you a little bit about the art of what you're supposed to doing is trading it in. At the end of this presentation, I want to invite every single one of you to see and say, you know what, could you show it to me Fausto Live? Because was today an anomaly? No, it's not. It's like this every day. Well, not every day, but most days. Some days are flat, some days are exciting. But you know what, if you want to learn how to play this game, there's no better time doing it at the most volatile and best time of the year, which is September, October and November. So let me go over a couple of things really quick and just tell you, make sure a little couple of warnings about compliance department, guys, just please keep in mind, this is strictly for educational purpose only, and we don't make no guarantees and no warranties. All right, so you could lose a lot of money trading is extremely dangerous. I put the fear in God in you. But you know what, take it with a grain of salt. I'm only here to kind of educate you and teach you a little bit about what trading is about. And hopefully you'll like what you see. Maybe you'll move forward with us, but we're not going to make any warranties and guarantees. All right. So before we get started, I'd like to tell you a little bit about Cybertry University. Now just out of curiosity, do we have any students in the room? Just give me a yes. Let's just write student or S or something quick. Just want to know Norman, good to see you. Welcome. Damien, good to see you, Jim. Good to see you, Doyle. All right, Brian. So we got some students here. Jeff, Renee, good to see you, Renee. It's been a while. Larry, Bill, good to see you all. Now, have any of you here are new for the first time? Just want to see how many newbies we have here? Just write the first time to see me, the second, two, three, five, one, first time, new, first time, first time. Okay. Welcome, Bill. Wake up, Jonathan. All right, Phil. All right, good. So we got a lot of newbies. Great. Second time, Anthony. All right. Good to be here. You're more than welcome. I see you, Renee. Second time. So are you with Tom Busby? Great friend of mine. Beautiful. All right. So let me tell you a little about Cybertry University. And then I'm going to talk about what we're going to learn today. And then I'm going to teach you the style of Cybertry University. And then hopefully what you'll learn today will really, really resonate and say, damn, why is that? Now is the first time I'm hearing this, because that's what I hear all the time, because I've changed people's lives, and hopefully I can do the same for you. But why do I love teaching and where does Cybertry University come from? Well, I started the company about 25 years ago. And I just celebrated my 50th birthday this weekend. I made a milestone. Thank you very much, everybody. And I've been doing it for, I keep looking, and I'm like, I'm like a great grandfather of people. I'm like George Washington, you know, if you're in the United States when it started. When I started, it was about a thousand of us. Now this is over. I think they said 25 million traders, people trading every day. So I, living here in New York, I've learned that there's the financial capital of the world like people making so much money trading the market. And you see it, even today, people keep talking about it, the stock market, the stock market. Well, when I started, I was a big failure. And what I've learned is that the way you only can be successful is that you don't want, maybe I should take a job as a trader. Maybe I should go out there and do it. Okay. So I went out there, I took a job. Didn't like doing that because back then, we had to split the profits. But in today's times, you know what? Splitting is better than losing, right? So what I learned on the first day in the job, I should have never made by first trade. And this is what you guys are going to learn today. I didn't know you could monitor brokerage firms. I didn't know you could actually see who's buying and selling the stock. I didn't know you could, you know, have direct access to the market. No wonder why people lose money. And that's what I'm going to show you today. I'm going to show you all these great things.  No, no, no. I'm going to invite you so you can see the other people if they're making money to do it. That's the key. But the reason why I started Cybertry University is because I wanted to go on my own and I wanted to go out there and outgrew, you know, working at it, working at a prop trading firm. And guess what?  You can be able to do this forever. Now, here's all my parents. I'm actually first generation Italian. And the parents came back, came here straight from Italy.  You know, have something you can spend a lot of time with your family. You know, don't try to do something that you don't have to work too hard doing it. And, you know, and try to make something that you can make a lot of money, put your kids through college, everything else. Because my dad worked about six days a week. The only time he ever spent time with my parents, because they both worked, was on Sundays, just go to church. I don't know if you remember back there, those days, all the stores were not open back then. But you know what? When I grew up, I realized that there's no easier job then to be a trader. So here's my lovely family, with my wife, Debbie, my three sons, Alex, Max and Lucas. That's a screen that I was a regular guest at the NASDAQ market teaching specifically about NASDAQ TotalView. At the end of this presentation, we'll actually play that video. So as you guys are registering, you can at least continue enjoy your event that we're doing today. But I've been back for over 23 years, and some people tell me that's a unicorn that's almost impossible. But listen, I don't think if it wasn't for trading, I don't think I would probably be where I am today, because I had that luxury to do it. And I want to hopefully do that for you. And it's not only doing that, ladies and gentlemen, I've changed people's lives as in, you know what? We know Social Security is not going to pay enough. We know that we get older, we see the doctor more. We know that we want someone that we can relate, we can have company with, and do something we both enjoy. And most importantly, we need something that will help us to supplement the link up in today's market. So if you're looking for a person that is want to show you, hey, look, I made $23,000 today. And, you know, you know, Ra, Ra, Ra, look at the new Ferrari I bought, or maybe another Wolf of Wall Street, you're in the wrong room. Okay, that's not me. But if you're looking for somebody that wants to maybe take your kids out for a vacation, pay for it, so you don't have to worry about it, maybe pay for your grandkids college, maybe pay for those medical bills, that insurance that want to cover, and don't have to worry about it, guess what, you're in the right place, because there's no better place to do it than in the market, because it pays a lot of money, but you got to start somewhere. So this is what we're going to learn. I'm going to talk about, you know, how to have the best game plan out there to trade. I'm going to talk about why students here are confident to buy and sell and short stocked without being nervous. I'm going to show you how we work together like a team. And most importantly, I'm going to cover something that is called Level 3 and Level 4, which is what we're very well known for. So let's get started. Now, before we do that, I just want to do a poll question, just to get to know a little bit about everyone here. And let me launch this poll. And can everybody just tell me in a poll, because you tell me what kind of trader are you? Are you stock trader, options, futures, forex? Just want to get to know a little bit about everyone in the room. So you guys answer this and we'll share it with you. All right, as I'm looking over here, all right. So it's, wow, it's pretty cool. So, well, Damon, put it into chat, Bill, put it in the chat so you can see where you are with everyone else. All right, let me end this poll and share the results. So it looks like we have a lot of stock traders. So let me kind of explain to you, I'm an actual stock trader, a day trader. If you listen, you want to be a good options trader, let me tell you something. It's the movement of stock that makes an option move. You want to be a good options trader, be a good stock trader first. Believe me, it'll make that much easier. Futures, forex, listen, this is the way I look at it. If you're doing something more than 60 to 90 days and you're not seeing success out of it or consistency, you might want to change the market or maybe find another mentor. All right, you know there's a lot of money to be made in this market, but you got to have the right tools, you got to have the right mentor. And you know what, maybe that's not your style, maybe that's not your thing. So it's okay to keep looking around, but I'm glad that some of you will sample it, but I'm just warning you. Six months, I've been talking to people who've been doing for a year and they said, well, I've been trading futures for a year.  How are you surviving? So it's okay to for a change. So talking about the next best biggest thing, let's talk about what happened like stocks like this one, TAL. This is why I don't hold overnight positions. Stock goes from $20 down to 10, down to nine.  It really stinks, right? This is why day trading people like it. There's no overnight positions. So when it comes to trading, when you have stocks like CRBS, like I showed you earlier, and it goes from, hold on, I'm going to point to here so you guys can follow along. I always forget to bring this little red dot. When you have a stock that goes at 10th at 1130, shoots from $6 to about $8. In about an hour, 1,000 shares, I don't know, two bucks, $2,000, half a million dollars, not bad for a day's pay. How about NNVC up 56% today? Yeah, here's a student right here, David S. Gold student made a buck 50 on the stock, not bad, right? Not bad for a middle of the day. Way to go, David. By the way, you'll get to meet David when you come into the trading room. ORK, Kathleen, Diamond student, she made a buck 50. Norman made 13 cents on RWLK on a 2X share, probably like 20,000 shares. Look at that. Stock goes from a buck 70 to 230. So the thing is this, Norman says it's running at half the hours. Is it, Norman? Let me look at that. Norman says it's running in the half the hours. Well, we're running a little bit. You see it right here. You can see it right here. So yeah, we got a little bit of a move right here at three o'clock, ran from 230, ran to 260. Not bad. Not bad. We'll take that. So the big thing is knowing how to scan for them, but also be able to follow the big orders and the big money when it comes to it. So this is why 90% of the trail is fail. They don't follow the big money. Now this is the big thing you have to understand as a trader. When you trade, it's not what you know. The less you know, the better it is. You don't want to know what these companies do. First of all, I don't have no clue what that stock RWLK does other than I know the symbol. That's all I know. You think I really care? Does it matter what I think that if it's a good company or a bad company, it's nothing to do with it? Maybe if I'm a swing trader or an investor. But how many times do you fell in love with the stock and you get a broken heart and you can never come back from that? So you've got to know how to play the game. So let's talk about a couple of vehicles out there. First of all, let's talk about something called level two. Does anyone here have level two? Anyone here have level two quotes? Leon, you got your audio back? Okay, good. All right. Now I used to trade on something called level two. I know they give it for free. And by the way, that's all it's worth. Okay. Level two, I'll explain to you what it is. And then I'll go hop on over here and I'll show you why it's really not necessary to have. So let me get my little crayons and do some drawing. All right. There we go. All right. So right here, this is the buyers. Okay. These are buyers. And these are the sellers. Three columns. One, two, and three. The first column is a four-letter abbreviation of a brokerage firm or a ECN like the exchange. The second column tells you the price that they want to buy it for at that exchange or at that brokerage firm. And the third column tells you how many shares, everything there is multiplied by 100. Whoever wants to buy for the most amount of money is up on top. Whoever wants to sell their shares for the least amount of money is up on top.  It's what it is. Whoever wants to buy for the most, whoever wants to buy for less is down at the bottom. It's basically what it is. The problem with this is right here is that it does not show you all the orders. You're basically trading on something called level one. You're just getting the best buyer and the best seller on the NASDAQ. You're getting the best buyers bid at the New York Stock Exchange and the best seller in the New York Stock Exchange. But what about all those other people out there? Aren't there other people that want to buy at different prices? Yes. And you can't see that. So let me erase this, clear all, and let me change the slide. So regarding about stocks that are going up and going down, okay, what is driving them up? What is driving them down? Well, the question I have for everyone is this, do you have total views? So let me do a poll question if I can find it. What do my other is? So let's stop sharing and do you have level three access? Let's launch this. Let's see how you guys answer this question. If you're a student, please don't answer this question because we all know you have it. Now, the reason why we have students that come here is because number one, they want to, they always come to help endorse and help recruit at Cybertrain University and we thank you for it. And secondly, they always want to know where were they when they first started to see who their competition is. And hopefully you're not going to be their competition.  So let me end this poll and you can see right here that we got about 20% of you that don't have level three and you can see how many of you don't. Now, listen, what I'm about to show you right now is going to be extremely depressing and it's going to be extremely disturbing. What you're about to see is Wall Street's biggest secrets. Now, how do I know that because I was a market maker? That's what I did. All right? So let me show you the power of following the money. Now, like I said earlier, I'm going to be playing a video when you guys get registered at the end of this presentation in the next 30 minutes. You're going to watch me do a demonstration on NASDAQ. NASDAQ reached out to me because they found me do a presentation on this and they're like, my God, Falstow, you have to come and we got to put you in front of the exchange and you got to teach you people how to do it because we're sick and tired people telling them why they got to use indicators, why they got to use special routing platforms and softwares. This is how the exchange trades.  The same thing like level two, same three columns. One, two, three. First column is the amount of orders that are out there. Let me do it here. The bid is the buyers, right? This is the price that you could buy for $7.07. These are how many shares are out there and these how many orders make up that share. So everything's being basically aggregated. Now, you are looking at every single order around the world that are trading on the NASDAQ exchange, like the New York Stock Exchange, like the floor, that are trying to buy GOEV everywhere around the world. So you're seeing every single order. Now, my question to you is this, everyone, what makes stocks go up and down? What drives them up and down? Everybody should be able to answer this question. Exactly. No, no, no, no. It's not news. It's not institutions. It's buyers and sellers, okay? Supply and demand. Now, everybody's always taught about support resistance. You cannot have support and resistance unless you have the buyers and sellers out there to make the support resistance. Now, the problem with support resistance, they get broken all the time. How do we know they're getting broken? How could we have not known they're going to be broken? Well, because if there was a support level you're hitting, the buyers should be out there at that support level. For example, if you look at this stock right here and we work our way down, you're probably going to look at this and like, you know, there's a lot of numbers there. I know, but most of those numbers are not necessary. What is necessary is this. 41 orders out there at $7 make up 26,000 shares. You think I really care about the buyer of 800 shares? No. You think I care about the 200 share buyer? No. I care about the next significant buyer down that list. And the same thing goes down here. Where's the next significant buyer right here? I'm looking. Remember, what makes this support level is this guy, not some Fibonacci or MACD or moving average. It's that buyer. And what makes this resistance levels? Sellers, like this 10,000 share sellers, you know, right there at $17 and 17 cents, not the guy at 1708. That's what we teach at Cybertree University. We look with, we call these iceberg orders. That's about thing. Now, let's put this in perspective in a chart. Here you're having a stock of FLDM. It starts this morning at 10 and it comes crashing down all the way down to about $7.50. Now, that's a pretty substantial correction for the stock to go down to open. That's a lot of money. Actually, if I knew it was going to go that low, you probably would have sold it sooner, right? But let's just look and see the overall picture. After 10 o'clock from 10, 11, 12, 1 o'clock, almost 2 o'clock, it never wanted to go past $7.50. Why would it go past $7? Why $7.50? There's only one way to explain it. That was a support level. But with the support levels, you need the buyers first. And when you look over here on level three, you'll see that there are buyers at 1800 shares, 200 shares, but right at 17.50, there is a 92,000-share buyer. You're telling me that you're going to question that guy? Yeah, okay, let me know how that works out for you. Okay? Just like, who are you going to trust, the 200-share sellers, the 100-share sellers, or the 92,000-share buyer? By the way, how many of you here are buying 92,000-share lots of a $7 stock dumping? What is that? Close to about $600,000 on an idea. I don't think too many of you. Probably none.  So what somebody did, 16 people did, so why not join them? Then try to question them. How about this? Look at the resistance here. Here's a stock that goes from 21, goes all the way up, all the way up to $24 at around 9 o'clock. This is a pre-market, right? And then it comes back down to 22, 22.50, but it goes back to 24. And it basically, when the market opened up from 8.45 up until about 10.30, 11 o'clock almost, it never wanted to break 24. Why did it stop at 24? Well, when you look right here, 94,000 shares. Do you really think I'm going to trust the 300-share seller, the 200-share seller, or the 94,000-share seller? Let me explain something to you. This stock is not going to go any higher until that guy cancels or somebody buys it from him. And you know what? I'm not going to wait until that happens. I'd rather wait until it breaks it than hope that it's going to make it. Because guess what? Once it got around this time and it kept testing it and testing and testing it, you went from 24 down to 23. Know what it is to lose a dollar on a stock? Imagine you had a thousand shares of that stock, $1,000, quarter million bucks a year, not really the way you want to go when it comes to trading, all because you didn't follow the big boy. All right. Everybody ready to have some fun? Okay. Let's have a little test now. I love doing this. All right. So is this stock going up or down? Let me do a launch here. Let's see you guys answer this question. Up or down? Tom, dope problem. Nice to see you and thanks for coming. Well, let's look at this stock right here, Sarah. Just answer this question. Up or down? So if you said the stock is going down, congratulations, you are right. Now, there are five people here that said it's going up, 8% of you. First of all, I don't understand what makes you think the stock's going up. The trend is down. It's not a trick question. It's not a trick question. If you think this is a trick question, if you think you're dealing with thieves and liars and losers and scammers, you shouldn't be in this business. All right. They're in every business, in the car business, in the medical industry, in politicians, they're in every business. You just got to know how to play the game. You might not like them, but you sure got to know what they're doing if you're going to be playing with them. So the trend is down. Now, here's the next question. When will it stop? What do we need?  The thing keeps going down. Do I sell it now? I should have sold it 10 minutes later. Is it still going down? What do we need? What do we need? Joe's the only one who can answer this question. Come on, guys. Don't be shy. What about you, Bill? Let me start picking names. Brian, Chili, Debra, Doyle. Come on, Jeff, Joseph, Mike, Larry, what do you get the stocks? What do you need? No, you see, you're wrong, Ali. You don't need support levels. You don't need support levels. There's no such thing of a support level unless you have buyers, right? Very good. Jay-Z, Linda, Janet, you're all right. Now, do you see buyers on a chart? Do you see any buyers on a chart? Oh, so what do you need a chart for? What do you need a chart for? Right? Where are we on the old place we could find the buyers on level three? So let's go look where the buyers are on INL. Oh, wow.  I don't know about you, but without even thinking of looking at any chart or any indicator, I will definitely put money on it. That's a major support levels. Wouldn't you?  That's a 219,000-chair supply. And by the way, yes, that's real. And number two, if you don't believe me and think that's fake news, when you come to my trading room, we're going to use your money. I'll find a nice 200,000-chair order like that and we'll use your money and we'll see if the guy's real or not. What do you say? All right, because I always get people to tell me how do you know that's real or whatever? Well, you know what? There's only way to find out. We'll use your money and we'll execute the guy. All right, so there's your support level. Now, look what happened. Stock goes from 1420 all the way down to 1260. It goes right back up to 1380. How is that even possible? Oh, it's very simple. That guy was out there buying it. He wasn't getting executed, so he probably decided to go, maybe I need to fill this order, so maybe I'll just buy it from some sellers. So maybe he's the guy that ran it up. Oh, and that could happen because how do stocks go up? Supply and demand. Buyers and sellers. By the way, did I lose anybody? Did I lose anybody yet? Did I lose anyone? Yes or no? Could you imagine, when I talk for about 15 minutes, could you imagine if I was able to show you this live in the market? You know, like, I'm not a fan doing PowerPoints because everybody has a very, could make a nice pretty PowerPoint and make it sound great than what it is, but could you imagine if I took you and I showed it to you live and show you people like you, you know, engineers, oil and gas guys, border control people, professors at schools, grandmas and grandpas, business owners. I mean, should I go on? You know, teachers, just like you, this is all we're doing, working together and finding stuff like that. So how about this one? Let's do a poll here. How do I do this? Is we launch poll? There we go. I'm just learning. Okay. So is this stock going up or going down? Let's do a poll. Starting to get people get a little question out of like, hmm, do I really want to, do I really want to say the opposite? All right. So, why you guys, you know, it's funny. Now, it looks like now there's more and more people starting to interact in the poll. Let me tell you, that's the way I teach my students. Okay. I get engaged. I get you involved because part of why people like to be at Cybertrain University is we're one of the very few schools that will actually mentor you, actually coach you, talk to somebody, monitor your journals, tell you what you're doing right and wrong. Wouldn't it be nice to have someone tell you the truth, then lie to you and say, oh, no, it's a good job. Don't worry about it. We'll get it next time. No. Listen, I'm very brash. Some people like, you know, sometimes I'm not, I'm not a nice guy. I'd be honest with you. Okay. Because I don't like seeing people lose money. You might not like what I say, but you know what? Who would you rather have? A doctor that has good bedside matters or a guy that's going to get the job done. All right. So, stock's going up. Now, when is it going to stop? Well, where the buyers are. Look at SPRT. Here's the sellers. Work your way down. Oh, 60,000 shares seller at 930. What do you think we're going to do at 930? Buy more? Probably sell it, right? Wouldn't it be nice to take a 30 cent profit? 30 cents on a thousand shares is $300. Where's that a $60,000 salary? What does it want that job? Oh, but this guy said you could make $5,000. Oh, did you see the cryptocurrency? I heard kids have made a half a million dollars. You know what? Forget about them. All right. Did you make the half a million dollars? You know what? You have to start somewhere. Make a day's pay. That's it. Just make a day's pay. Be consistent. Because to every home run you hit, you're going to strike out more than others. So, because we didn't get out, it went from the 330 right back down to the $9. Hey, remember, it could break it, but it's all about following the orders. What happens when an iceberg gets broken through? Okay, let's talk about that. Now, listen, can the stock go past that? Of course it could. Absolutely. Here's an example. Anybody here use Titan sales? Look at that. Not too many in the chat room agreeing with me. I am what's called a tape reader. If you ever read my book, I have a book out there. You can buy it on Amazon. It's called How to Beat Market Makers at their own game. Basically, we ever read the old books, old tape readers. I'm a tape reader. A tape reader looks at all the orders on time and sales, and that is basically a confirmation of where the trades are coming from. Here you have an example of all the buyers and sellers out there.  Why would anybody want to buy a stock? Because it's going up. All the sellers get executed. What happens? The price goes higher. Time and sales tells you that. Did the iceberg get filled? Yes. Here's all your orders. Here's a big order right here at 8.30. All those orders got filled. Look at that right there. Green, green, green, green, green, green, green. Stock goes from 9.30 all the way to 11.50 at the end of the day. How beautiful is that? When you see these iceberg orders, which is what we call in here at Cybertree University, which are these big block monster orders, listen. Somebody can come in there and buy it. That could happen. Anybody can come in there. It could happen. Every seller house or sees someone sell a house like, I want to buy that house, but it's kind of worth about a half a million. The guy's like, oh, no, that's how sold for 1.5 million. Get that all out of you. What? How is that even worth a half a million? Yeah. Well, have you seen what's happened in the housing market? They're like, damn, I wish I could sell mine for 1.5 million. You don't even like, but it's all about supply and demand. And that's what trading is all about. House is different than level three. Gary, basically, level three is total view, which is what that's what I call it. But guess what, Gary, when you come into the trading room, there's something called level four, which I'm not going to cover right now. That's breaking news when you come into the trading room. Right now, I'm just trying to teach you the basics of supply and demand. You see, when I showed you those stocks earlier this before, those big, big runners, listen, finding them is easy. The hard part is hitting the button, buying it and following the orders and not getting greedy. That's the goal about being a good trader. Now let's talk about the reds. Red, red, red, red, red. Look at this stock right here. We have 110,000 share buyer at 1290 right here. Look at all those orders, 1,900, 4900, all red, 2,900, 5,000, 10,000, 4,000. Man, doesn't take too long for that stock to drop pretty quickly. And sure enough, if you didn't get out, it took about an hour before the guy got filled, but boom, goes from that price of 1290 all the way down to 1180,000 like that. Ever happen to you sitting there, you're like, oh man, I hope the stock doesn't break the support level. Well, did you see the board buyers getting filled? How many of you here are watching buyers and sellers? How many of you here are watching it? John, you're not. Mike, you're not. Okay, great. Is that, Janet, you are. Okay. Damon, you're not. James, you are. Okay. We've got a lot of students here. Think about how much smarter and better trading decisions you would make if you were able to see where the orders are. And more importantly, see if they're getting executed. I mean, how much money would save yourself to just see and have that data? Now, let me explain something to you. When I started at 22 years old, this data, I had to pay $1,000 a month for $1,000. That's like paying $4,000 today. Now, you'd be like right now, anyone interested to sign this $4,000? There's a few of you here that might do it because you want to make that nice six-figure salary, right? But some of you would be like, ah, maybe not. How about this? Would you pay $9 for it? Because that's how much it is now. Would you pay, when I paid $1,000, would you pay $9 today to get this data?  Sure you would, right? Sure you would. What could possibly go wrong? That you're finally able to see why a stock broke a support level? All day long, Anthony is saying, there you go. All right. Well, we're going to get there. Now, another question I have here. What chart is easy to read? Chart number one or chart number two? What chart is easy to read? Really? You mean you really don't care about the Bolliger Band, the MACD, the Fibonacci right there, the moving average, the candlestick? I mean, you don't need all that stuff? Well, but I tell you what we do need, okay? Just follow the money. Just follow the orders. Knowing where the support resistance level is, I would rather take the order book than look at some of this crazy stuff on the left hand side. But that's what people are teaching. But you know what? Who are the best traders? These guys on the floor, right? Can you tell me, looking around, do you see how many charts you guys see here? How many charts you see on the floor of that exchange? How many? Zero.  Well, you know what? It's kind of coincidental, but these things look a little bit like what I'm showing you right here, right? Aren't these looking like very similar stuff that I'm showing you? I mean, it's all orders. And they're talking to each other. Hey, what are you buying? Oh, I'm selling 50,000. This guy right here said, hey, build yourself 50,000 shares of your XYZ. We got to get out too.  I'm going to sell it too. Oh, Dan, he's selling it. I got to get out too. I mean, this is funny and ridiculous, but I'm saying this is what goes on on the floor. And you had the same technology and you're not going to use it. Come on, fellow traders. You don't got to be a pig.  Pigs get slaughtered. All right. So how many of you here would like to come and join me in my trading room so I could show you this live in the markets? Great. This is what we're going to do. Before I move on, just want to let everybody know, I've been doing this for 25 years. I'm a 12-time champion at the Money Show Traders Expo. Okay. If you've ever been there, they always have these trader challenges.  Actually, I'm not going to be cocky and old. I should have been 25-time world champion. I have people that show up because so many schools don't want to embarrass themselves because a lot of them are not traders. A lot of them are technicians, mathematicians, whatever it is. Cybertrain University is endorsed by more brokerage firms than any school in the industry. By the way, if you ever going to learn from someone in the industry, make sure they're endorsed by brokerage firms. These companies like Trade Station, Thinker, Swin, NASDAQ, TastyWorks, Rock, they've done background checks, not only on me, on my staff. How would you like me to do a background check on you before I teach you how to trade? What do you have to do a background check for? Well, if they're going to go out there and endorse us, they want to make sure that we have a good reputation at Bennett Business Bureau, which we have zero complaints, a very good record on Google where we got a five-star rating. And guess what? I'm not looking to break that record because this is what we do and how we teach people how to trade. So this is what I want to do. I want to invite every one of you to come to the original trading room that I started 25 years ago. And you've seen them pop up everywhere. And believe it or not, some of them are my students, which is great. And some of my instructors because eventually you're going to outgrow CTU, but you've got to start somewhere. Listen, if you're doing options, you're doing futures and doing forex, and you've been doing it for two, three months and you're not seeing it, you're being successful at it, maybe it's time to change. A lot of people change. It's a great market, it's a great industry. I know you don't want to quit and go back after COVID and start going back to your day job if it's even there anymore. Just stick and do the trading. That's it. So come in my trading room. Let me tell you a little bit more about how we do it. This is the schedule we got going on. All right, so we start around 7.30, 8 o'clock in the morning.  This is all Eastern Standard Time. We start scanning the market. We do a live audio broadcast at 9 a.m., which by the way we broadcast live on YouTube and Facebook also. Please make sure you subscribe to our channel and like us and friend us please. We've got a great library of videos there. We start audio commentary at 9.30 for about an hour because that's all we trade. We'll do a Traders Talk meeting on Tuesdays. We usually stop trading from 10.30 to about 2.30, but we'll still be there all day trading. Some people, different parts of the world, maybe want to come in. We've seen some stocks make some moves in a day, but usually the most volatile time is the first hour and the last hour. At 2.30 we do another audio commentary, which once again we broadcast on YouTube and Facebook live too, but you'll see. This is our schedule you're going to get for the whole week. So I want you to come for a whole week. Okay. Now this is what we charge, $9. That's it, $9. And if you're not happy, I'll give you, it's a money back guarantee, $9 back. Now why would we do it for $9? Some people ask, we want to do it for free. I mean, well, how do you make any money? Because you know what? We feel like we want to make sure you're a real person. We know you say who you are. You know? That's about it. And by the way, we're not going to scam you. We're not going to hit you with a fee and start after the seven days, you're going to pay $149 or $500, whatever it is. If you don't want to continue with Cybertrain University, that's fine. I don't need your $9. Okay. I'm looking for traders I could train. The $9 is to prove to you what I've taught you today so you can get in my trading room and give you access so you can talk, as you can see the professionalism of our staff, the customer service and be able to see how we can teach you how to think for yourself. But most importantly, how to find those orders. So before you discriminate and say, I heard every people lose money day trading. You know what? You haven't seen that until you stepped in my room. Make that last call. Make that $9. Click on that link right now and we'll get you registered. Now as a bonus, this is what you're going to get. You're going to get the live trading room. You're going to get access from 745 to 230 all day long. You're going to get a daily watch list that I actually put out and some instructors. You're going to get a weekly workshop. That's $149.  That's a $5.99 value. That's all included. You're going to get traders talk archives. It's a $1,000 value that's included. And as a bonus, if you register now, the first 20 people will even get a personal coaching class from me all for a stinking $9. Because I'm looking for people like a trade that I can make tens of thousands of dollars with.  If you're sick and tired of that and you say, you know what? Maybe you could someone teach me how to think by myself, well, here's your opportunity to do it. So click on there, $9. You got the link and get registered. Charlie has a good question. Does this technically only apply to day trade? No, it doesn't. I also do some swing trading and investing. Let me explain some to you. It's what happens over the course of the day, which trickles into a swing trade. You might be in a position right now and maybe it's on a downtrend or maybe it's closing at the lows. If you don't follow those orders, you can wake up the next morning. It's not going to be down 50%. 50% could be your whole IRA savings. You don't want to do that. So it's only $9. Johnny, that's a great question. What is the cost after the trial? Zero. If you don't want to move forward CTO, we're not going to charge you a single penny. You don't want to be there. We don't want you there. This is basically an application. Once you take this $9 trial, we are actually going to interview you and we're going to see if you're a right fit for us. You have to understand something, Johnny. We don't teach everybody. You know why? Because a lot of people in here really don't qualify and you're not going to know if you qualify until you get into the room. Let me explain some to you. When you get into this trading room, you're not going to find 34,000 people. I could have 10,000 people if I wanted to. I don't want them. You don't want to be in there. It looks great. But who's going to help you? Who's going to coach you? This is a job interview. When you fill out this $9 trial, at the next page, there is going to be a questionnaire. You need to tell us a little bit about you. Who's your broker? Who trained you? What kind of training you do? We're going to call you and we're going to qualify you because we need to make sure we don't want you to hurt yourself. We're not going to force you to do something that you don't want to do. You know what?  That's not a bad thing, but it all starts at $9. Joe says, can I use level three to trade the futures like the S&P minis? Yes, you can. Not the futures though, the S&P's you can. The thing is, why would you trade the S&P's? There's so many other stocks that are just less risk, more reward. You saw some of the stocks that we traded up 50%, 100%. The S&P futures were not 50% today.  Are you going to trade the S&P futures or are you going to make money? But before I pop your bubble, come in the room for $9 and we'll go from there. Nika has a question. Do we have to purchase the third level fee separately? What's the cost and the timing and the trading platform? Nika, listen, please, no one buy nothing. I'm not going to tell you where to buy it. I don't want you to buy it. You're going to do more harm than good. Let me teach you first and then we'll worry about that later. Deborah has a question. I just took advantage of this one week, great education, learned. Thank you very much. Look forward to diving into the info. Well, Deborah, thank you very much and I hope you learned a lot. I mean, listen, we had a great day today too, but it only gets good. So I'm glad you learned a lot. Make sure you dive into it. But most importantly, Deborah, make sure you work with your education advisor so he can walk you through and tell you what's going on and then hopefully we'll be a part of our family and go from there. Jeffrey has a question. Jeffrey's talking to, is one of the education advisors talking to one of the students. Damien has a question. Can you overcome the PTD day trading rule if you have a small account? You can't get around the PDT rule, which is the pattern day trading rule, but I wouldn't worry about that right now. You could still trade with a small account, what we're teaching with you, just not as aggressively. Tony, can I join now and start the one week trial on Monday? I'm on vacation. Okay. Well, Terry, absolutely. You're not going to start. I mean, I recommend you start right away, but yeah. You can't get into the trading room until you activate it with your instructor, which education advisor. So when you tell them when you want to start it, we'll get you activated to start then. And I do recommend you always start on a Monday too. Anthony, you trade up. Yeah, I got, listen, I got a lot of people that registered right here. I'll just show you right here. You could basically see it. Here's all the people that just registered. We've got James, is that you, James? It's got your registration, per crease. It's got your registration. These are all the people that's just registering right now. I don't want anybody to read anyone's names on it, but you got all these people registering. Anthony got your registration. Darlene got your registration. Kevin got your registration. Anthony, you do a lot of forex trading. Is that what you're doing? Okay, good. Rajam, I got yours. You do more option trading. Okay, good. No problem, James. Listen, you haven't seen nothing yet. Zero. When you get into the trading room, you're going to see why Cybertrain University is the leading educator in the market. And that's why we've been busy for 25 years, which is unheard of, unheard of. Larry, great to see you. I hope you have a good time, Larry. Larry's one of our student, long-term students, Gary. Larry and thanks for being here. Appreciate it. All right. Any other questions? I think we're almost full with the with the coaching classes. Listen, there was over 150 people in here. I can't, we only allocate so many people I could do a coaching. You could still, you're still going to get a coaching session with one of these instructors ask questions. I just, my time's very valuable. I can only spend so much time with someone to talk to them because we have so many people that registered at one time. But that's great. Any other questions? Oh, yeah. We just answered Mike. He's asking about, about, can we start a later time? Marzina, you're more than welcome. Thank you very much. Appreciate it. Just give a couple of more struts. Shout outs. Donald from Chicago got your registration. Welcome aboard. Lucy from New York got your registration. Welcome aboard. Leslie from Ohio got your registration. Remember, fellow traders, when you fill out the registration, when you register, please make sure you fill out that question. It is very critical. We know a little bit about who you are, where you came from, and how you learn. Lenny, how many people are in the room, in the trading room? Well, we range between about 150 to 300, but we have about maybe 500 to 1,000 traders. Some people just work two days a week. And I would say about 80, 90% of them, we don't even let them in the room. A lot of people don't qualify. Yes, you could start Monday. Absolutely. You could start Monday. Just tell your education advisor, Rand, that you want to do that. Kevin, just got you filled out your form. I see that. Michael, I see that you took your form.  Great. I love people that take education with people, because, listen, sometimes it takes a couple of people before you actually find the right person to train you. Janet just got yours. That's my mother-in-law's name. Great name. Do you trade pre-market? Absolutely. It's one of our biggest things that we teach. Did you not look at this chart right here? I was showing you this right here. At 7.30, we start right around here. Right at 7.30. Absolutely. Absolutely. We follow the block trading. You're going to see that when you're in the trading room. All right, guys, listen, don't go anywhere, okay? Because what we're going to do next is I'm going to play a video of me doing another live demonstration on the floor of the NASDAQ exchange. This was right when COVID hit. You're going to see some of the biggest and the most well-known the virus stocks when they started making these huge runs like Pfizer, then Mindura, all those stocks that made big rig runs. You're going to see it, so don't go anywhere. You're going to see how level three actually made these stocks run. You're going to see why you're very happy to be part of the team. Because remember, there's always new ones every day, but see the truth how it works first. So don't go anywhere. And thank you very much for being here. I look forward to seeing you teaching every one of you. And if you don't move forward, see to you. Listen, I'm not going to take it personal, just do yourself a favor. Go out there, make sure you listen. Make sure you get endorsements from a person, but you have to learn before you can earn.  You want to go do it, go right ahead. After you do that 15, 17 diet, we all know how it's going to end up. You're going to have to hire a personal trainer. You've got to hire a nutritionist. It's the only way you're going to lose weight. You want to do the same model for the stock market, you're going to have to learn from somebody.  And if you move, hopefully you move forward, see to you down the road. But thanks for watching, everybody. So don't go anywhere. Enjoy the video. I look forward to seeing everyone I've registered in the training tomorrow morning or if not, whenever you're ready to, okay? Just lock in your rate now before they sell out. Happy training, everybody. Enjoy your, enjoy your rest of your year.


Today, we have an incredible panel, fabulous panelists, and an extremely important topic. When we talk about the fourth industrial revolution, particularly technologies around artificial intelligence, we'll be talking about how AI has grown, the areas where it's actually led to extraordinary innovation during the pandemic, the areas where maybe it's underperformed. We're going to talk about private-public partnerships, which this panel is particularly appropriately designed for, and we'll also be talking about climate change. The other day at the World Economic Forum, John Kerry mentioned discussing something, Bill Gates, it said that we might need a technological miracle to get out of the climate change catastrophe. So we'll see where we are, where progress is right now. So, fantastic panel, big conversations, great topic. Let me introduce the panelists. We'll get going. Remember, you can ask your questions. They'll be fed to me through the Zoom chat, and I will ask the panelists them. So, starting off with Ivan Duque, he is the president of Colombia. He's been the president since 2018, a member of the Democratic Center Party. He's been a major proponent of developing the tech sector in Colombia. Under his leadership, the Colombian government published a draft framework for ethical AI in November of last year, and I just learned in the green room that he's all in favor of getting an edition of Wired in Colombia, which I take as a very, very good sign. Ivan Erickson is the chief executive officer of AUKER. Hey, been running that amazing company for a while, and in partnership with the World Economic Forum, the AUKER Group has been instrumental in the development of Norway's Center for the Fourth Industrial Revolution, the Ocean Data Platform, which is a collaborative data sharing platform to which data from 220,000 marine research expeditions since 1890 have been uploaded just in the past year. Brad Smith is the president of Microsoft. He's been at Microsoft in a range of roles for over 27 years. We've probably seen him on Davos panels before because he is absolutely fabulous on every panel. He became president in 2015. He leads more than 1400, sorry, he leads a team of more than 1400 business legal and corporate affairs professionals in 56 countries, and he's president of a tech company that has a great valuation because it actually sells products, not because the stock has been pumped up on Reddit. Julie Sweet is the chief executive officer of Accenture USA and my favorite fact of all my panel introductions. She is ranked first, not second, not third, not ninth, she is ranked first, unfortunate list of most powerful women for 2020. So an amazing panel, fabulous conversation ahead. Let's get going. President Duque, I read an interview recently you did with the Council on Foreign Relations from October where you talked about the importance of technology and the importance of AI in helping Columbia's economy recover from COVID and grow whenever we are finally finding our way out of this catastrophe. So tell me the areas where you expect to see the most interesting growth and what you expect to happen. And let's get going there and then we'll dig into some of the complex debates around this. President Duque. Well, thank you so much, Nick. It's a great honor for me to be in this panel and I also welcome the presence of such a distinguished group. Let me try to frame what we are trying to accelerate in Columbia. The first thing is we believe technology has to be the driver of building back better. And we also believe that this is the right avenue to provide human capital next frontiers. So how do we do it? The first thing is we have to build smart regulation. So we have combined regulation for entrepreneurship and technology. On entrepreneurship, we decided to have no income tax for the first six years for technology entrepreneurs with a minimum amount of investment and a minimum of jobs to be created. We also developed regulation for fintech, golf tech, education technology and health technology. And we have become leaders on financial inclusion using digital technologies. The third element is we have to train the human talent and that's why we launched the program to train 100,000 programmers by August 2022. And we also are thinking on smart infrastructure and that's why our plan is to have by August next year, 70% of all the Colombian population with fast speed internet. And we are providing fast speed internet to communities that have not had access to technology. And last but not least in the element is the ethical framework. We were the first Spanish speaking country to open a fourth industrial revolution with the World Economic Forum. And we are now putting in place the ethical framework for AI. That means we have to value AI for the privilege it brings to the whole world. But at the same time, we have to be clear that managing information and managing algorithms need to be aligned with an ethical framework so that information is used for the best purpose. And I should mention that the next step where we wanna get is also to combine all these technologies with the evolution of the creative industries in Colombia. We have now the most competitive framework for audiovisual for digital animation in Latin America. If we combine all these elements, we wanna make Colombia the Silicon Valley of Latin America so that every single investment in technology when it looks to the region sees Colombia as the first choice. And I'm glad that Brad Smith is also joining us today because one of the elements that we're trying to push very hard is to have data analytics centers. Microsoft, Open One, and Chile, we wanna be the next in the region. And we already have Amazon web services doing big investments in Colombia. Accenture is also working on AI technology. So I believe Colombia today is the most competitive place in the region because we have combined the regulation, the entrepreneurship framework, human capital. And last but not least, we're putting also resources in terms of venture capital and in terms of supporting capital to entrepreneurs in the technology sector all over the country. That is a fabulous answer. And I guess Brad, you were named there. So let me ask you the follow-up, which is will Microsoft be moving to Colombia? And if not, why not? And then more seriously, what is it that the rest of the world needs to do to make sure that their tech sectors become as vibrant as America's? Because it is still true that the largest tech companies are all still from a very small part of one country. What does the world have to do? Well, we've been bullish on Colombia for a long time. And I think in a lot of interesting ways, Colombia has been actually more forward-leaning than the United States in certain regulatory areas, such as what it takes to bring broadband to more people. But I think Nick, what we're really doing right now is living in a time where so much real-world progress really requires that we weave together new AI-based technologies with cloud-based services and with data analytics. And you put these three together. And it's easy to look at the United States and know that the country will continue to be in the top tier, probably the global leader for a lot of this investment. But more than ever, I think it's really spreading around the world in large part because people recognize that it is this combination that's the key to solving almost every problem we care about. Yeah, I'm just struck because here we are the last week in January. And the biggest problem the world needs to solve right now is getting more vaccines manufactured, distributed, and into people's arms around the world. And when you start thinking about that, you start with the proposition that this is this extraordinary success of the biotechnology and pharmaceutical sector, and it is. But in many ways, it really speaks to the importance of these digital technologies as well. When I look at what it takes to get shots into people's arms through a supply chain, we're seeing AI put to use. You gotta pre-register billions of people around the world so they know whether they're eligible for a vaccine. We're seeing AI play a role, AI chatbots to walk people through online so they know whether they're eligible. You need to do massive scheduling of people so they can get an appointment. And this is where Accenture and Microsoft are working together to help institutions scale up their scheduling systems and combine it with online data entry in advance so people don't have to spend 25 minutes filling out paperwork when they go to get a vaccination. You need to have real-time data analytics that let governments know whether shots are being administered and to whom they're being administered. Are they reaching the people who are eligible? Are they reaching marginalized communities? And here we're seeing governments around the world really build on the kind of data dashboards that we and others have created to tell the public what's going on and really create a tool for government itself. So what is I think interesting today is that what started in the United States, what has spread to some other countries is really a global phenomenon and it's being embraced by governments, nonprofits and businesses alike. That is a fabulous answer. Let me go to Julie here because this gets at one of the things I've been wondering about and it's a big question. I'm gonna ask it kind of with two parts but one of the questions people have about AI right now is how much is it actually helping? There's a study that came out from MIT in October, November saying that only 11% of the companies that had fully invested in AI had seen I think it was outsized returns from the AI. And so if that is a presumption and then let's look at the COVID problem where it looks like the vaccine development relied on AI very little. Is the vaccine rollout gonna really rely on AI? How much does AI matter right now, both to the world and to companies and to the particular problem right now that Brad just described is the most important problem of the world which is how we get vaccines into everybody's arms. That's a great question but I am gonna put a plug in for Columbia first like Brad because we're very proud of our almost a thousand people in Columbia. So thank you, President Duque. We have an amazing, amazing and talented people there. So it's a great question. So maybe the first answer is we're at the beginning of AI actually being able to reach its full potential whether it's in what we're seeing now with biochemistry and the development of medicines to changing the way we're alive because it's actually pervasive.  So when I say it's at the beginning it's because the potential of AI is so great but AI isn't a destination. It's about how you use it. And it was really important what Brad talked about and it's one of the things that we work together so strongly is you can't have AI unless you have good data. It's hard to have enough data to change the world unless you're in the cloud, right? And at the end of the day you actually need thoughtful use cases and experiences around that. And that's why when Brad talked about it and let us, he didn't talk about them separately but how we put them together, right? And then around that it's the technology and the people. So if you think about what we're doing around vaccines and the solution that we've built together it has to have the government actor as well as the individual and the private actors, they're together. So it's not a technology solution it's the ability to integrate those things. And so when you think about AI don't think of it as a destination but about an enabler that's only beginning to reach its full potential. So will we see more medicines and breakthroughs through the ability to use AI? Yes, but if you talk to the pharma companies what they would say is in order to do that we have to be in the cloud, have the access to the data and think differently about where the data is coming having diverse populations for example. And so it is more complex than is AI, what are they doing? And in fact, if you think about like I'm not troubled by the fact that the stats around are we getting the value? Because in fact over the last several years what you've really been seeing is a lot of experimentation we're at the beginning of a decade where that experimentation is now reaching starting to reach scale and having an impact and if we work together well right it can be truly explosive and I don't think it's gonna take the decade that I thought before COVID I think you're gonna see an acceleration of the value over the next few years. That makes a lot of sense you need to have these things working together you need to be in the cloud you need to have your data properly organized and you need to have AI working as a tool on that which actually leads to something Orvin that I was thinking about when I read one of the interviews that you gave recently and you were talking as I think it was an interview in October and you said industries like energy manufacturing shipping and terminals continue to battle with extraordinary inertia on digital change meaning as I read it, it's much harder to do exactly what Julia is talking about in certain industries. Talk to me a little bit about the way that at some point in the huge portfolio you manage you have solved one of these data problems and you've taken an industry with inertia and enabled the data to be organized in such a way that AI could work to its potential. I think this is a very important discussion because as individuals, our lives and the way we're communicating changed more than a decade ago due to the smartphone but the reality is that significant part of the industry has not yet had its smartphone moment and the main reason why we have not been able to take full advantage of new digital tool is exactly what was described that the data are still locked in silos in separate systems and very hard to liberate and hard to contextualize and make available to take full effect of AI and other applications. But things are changing and from my perspective 2020 was obviously a different year but it was also a transformational year in this respect because help by cloud and other technologies we're about to resolve the fundamental problem about the data and be able to make available high quality data to take full effect of new applications. So I'm quite optimistic that also for as a TV industry is like those you mentioned, we will see a step change going forward both with respect to efficiency but also as a very important tool to operate those industries in a more sustainable way going forward. That makes a lot of sense and it gets me to a big topic. I wanna ask maybe multiple people on this panel about which is when we talk about one of the stories of the coronavirus crisis will be the extraordinary technological transformation that has occurred because of what's happened because we're all forced into our homes because we started to collect more data because we stopped interacting in person because it all happened on Zoom and it was all recorded and it could all be analyzed and because we've had to push forward certain industries like telemedicine and online education. The question is, what are the areas where we have seen the most surprising booms because of the combination of tech post Corona? What are the areas where a year from now we're gonna look and say, wow, Corona really caused an extraordinary transformation that we didn't see coming. What are the things we're just starting to see now but that we haven't seen yet in the crisis? Maybe I'll go to Brad or Julie on this one first. Well, let me start, Nick, with something that, like all things, I'm not sure it's a shock or a surprise but I think it is definitely grabbing the world's attention. Look, there will undoubtedly be people who will watch something like this and say, well, of course the Davos crowd did well. We could all work from home. We all had our broadband connections and it's easy to forget that even in a country like the United States, more than half of the people who were lucky enough to keep their job didn't have the luxury of working from home. And what we started talking about a year ago would this be a V-shaped recovery or an L-shaped recovery? I do think has become this K-shaped recovery where some have done better and others are being more left behind. And I think that really is the thing that should probably grab our attention the most. And then we ask ourselves, well, what is it that it will take to move everybody up and not just some? And I think it's three things. Number one, it is broadband. We saw before the pandemic that broadband was a real ticket to the future but we've seen just how glaringly it is to leave some people without that ticket. We're seeing underprivileged kids just literally not be able to attend school. We're seeing rural communities continue to be left behind. They were before, now we see it more clearly. So I just think if there's one thing that we start with, it's a resolve to eliminate the broadband gap over the next few years, which I think new technology will enable us to do. And then there's the two other things that need to be added, access to devices and access to skills. And I think if we can put these together and really understand in each country, where is the gap? How do we close it? This may be one of the great pieces of learning, not because we didn't know it before but because the whole world didn't see it with the clarity that we all see it today. President Duque, have you seen signs of a K-shaped recovery in Columbia and what are you doing about that? Let me try to connect both questions, Nick. On the one hand, I think we have reached important levels of recovery, although there's still much to go. I think our economy was badly hidden. We ended up 2019 with the biggest economic growth in the last five years and we grew above the regional average, world average, OECD average, but definitely I think we're respecting a negative growth of minus 6.7 maybe in 2020. Nevertheless, since June, I think we started seeing recovery trends that are important and we got in December to pre-pandemic unemployment levels are very close there. But this year is going to be very important because this has to be the massive vaccination and the safe recovery. But I think you mentioned something very interesting in your previous question, which are the sectors that you think are accelerating. I remember Richard has saying that this is going to be the acceleration of history. In Columbia, I'm going to mention four that are really making a big change. The number one, financial inclusion through fintech. Since we had to put together programs to get to the poorest of the poor in a fast way, we did it through technology and we got to more than 3.5 million families that never got a transfer from the government to attend the circumstance. That was very important. The second element is now you see all the banks moving to more digital wallets. So this is going to be the time of fintech. And we're having new fintech investments in Columbia from banks that were created all over Latin America, basically digital and starting to compete and that competition I think is going to create more smart products for the citizens. The second thing is telemedicine. We passed from 400,000 consultations to millions of consultations that are done right now through internet. So the managing of the system, the information in the system, the way doctors can connect to people that are in far places of the country, it's very important and that's going to be a massive acceleration. Number three is education. But I also want to put a red light here. Yes, it's very important that we have moved to more virtual education, but we have to acknowledge that for the sake of mental health of children, there has to be an alternancy. There has to be percential education and virtual education. I obviously believe that the virtual component is going to make a dramatic change and it's going to change also the habits of parenthood. And we all have to learn from that. But it's very important that the acceleration of education technology also has to be based on a balance with percential education. And last but not least, I also believe that cybersecurity is going to have the fastest acceleration ever because we're transferring more information, we're having more meetings, we're transferring sensible information, we're having access to databases. So I think this is going to be the major acceleration of cybersecurity. And that's why in Colombia, we have decided to launch a public policy on cybersecurity. And if I may wrap up, how Colombia is adapting to all this, the framework that we have built on fintech, cybersecurity, and also AI, IoT, cloud computing, is because we understand that if we take the wave, the way the wave is coming, we're going to take advantage so that this becomes the fastest acceleration of youth employment in Colombia, building talent with the right education for the moment. And that's why we made the big bet to train 100,000 programmers by August 22. And I feel that that is also going to make Colombia the place in Latin America with the best prepared talent for the demand of workers in this type of industries. Wonderful. Well, you know, the question about education at home is one that may be made evident to everybody watching this panel because my three children are here and a 10-year-old has a trombone class shortly. So if you hear a trombone, that's what's going on. So, Julia Oiven, let's do a follow-up on this, which is, so President Duque just mentioned four areas, fintech, cybersecurity, telemedicine, online education, is areas where he's seen spectacular growth where he expects to see continued spectacular growth. Are there others besides those four? Have you seen surprising, interesting areas of growth that will be important as we recover from the COVID catastrophe? I mean, do you want to go first? Yeah, I'm happy to start. I think what we have been through the last year has changed the way business leaders look upon risk and risk management also by application on new software technology. And being responsible for a large industrial group like ARCR, I'm pretty sure that remote operations and mitigation by digital tools of different risk factors will be a high priority going forward than what it has been in the past. And so, I also think that industry at large will make a step change with respect to application of software solutions and AI and in order to mitigate risk at large. So I'll make my prediction. So back in 2013, we were the first company to say every business would be a digital business. And Brad will remember that. We like CIOs argued, industry said, you're crazy. Today, we were already headed there but COVID made very clear. Technology is the lifeline every business and you hear it in every discussion we really had here. So my next prediction is that sustainability is the new digital. And this wasn't obvious when pandemic, the pandemic hit. You'll remember at the we were talking about will we have a setback as we just come off of Davos in that last January with sustainability in the broad sense from climate to inequality to re-skilling and privacy. And people were worried that the economic impact would mean that people wouldn't spend, et cetera. And I think you're seeing the exact opposite because as people are rebuilding, re-platforming in the cloud, investing, there's a huge interest in doing so sustainably. Consumers want it, the employees want it. Our research that we just did in Europe said that companies who embrace both technology and sustainability are two and a half times more likely to be tomorrow's leaders. And so I think this is something that has an economic case in the pandemic and the collective experience of what the pandemic has done has really driving different behavior. And so I'm very hopeful that when we have this dialogue in 2025 that we'll be talking about how that every business is a sustainable business. And certainly if you look at what Ackerman and Microsoft have been doing for years, this is part of your values, this is something you've already been embedding it. But just to give you one quick stat, a year and a half ago when we talked about artificial intelligence, our research said 60% increase in spending and only 3% of companies were actually re-skilling their people. And our strategy today, which is around creating 360 degree value and helping companies re-skill, we're having a totally different conversation post-pandemic. So every business sustainability is going to be the next digital and every business will be a sustainable business. All right, well, let's stay on that for a second and it ties into one of the questions that are coming from the audience. Maybe Brad will go to you, Microsoft has clearly made sustainability a huge goal. I saw last year, Satya made an extraordinary ambition that I believe you may well be ahead of target of becoming carbon net negative by 2030. I mean, just a tremendous goal that you I think will probably hit ahead of schedule. What to you are the technologies in the fourth industrial revolution or the ways that AI can be used that will be most important to do right between now and 2025 when if Julie is correct. And I think she surely will be correct. Sustainability is the most important thing for everybody at the World Economic Forum. What are the technologies that will matter most in the next four years? Well, let me answer that, Nick, by just sort of talking about where we are and then what we're seeing play out. You know, I think, you know, the ocean data platform that Ochre has been championing and that we've been supporting with the WEF is one key example of just, how you're using data and AI to streamline ocean shipping routes or we're seeing other projects to stop illegal fishing. But let's talk about climate and carbon for a minute. We just released our one year update this morning. And to me, there were two things that were most notable about it in terms of learning. First, we showed that at Microsoft, we had reduced our carbon emissions by 6% over the past year. And to me, there's a recipe that has clearly emerged for what it takes to help the world, especially businesses, reduce carbon emissions. It's economic incentives that I think in part are coming from what Julie described. I mean, I think the full weight of capitalism is being put behind the drive to reduce carbon. The second is standardized measurement. We need a global objective accepted standard for how people measure carbon emissions. And the third is technology-based measurement systems. You know, that in some ways starts with IoT-based devices, but does ladder up to the kind of data analytics so that we know and can provide on an audited basis for every company whether progress is being made. So that's how I think we reduce carbon emissions. But the second thing we need to do, I think is even more daunting. We need to build a new market that doesn't exist today and an industry that doesn't exist today for carbon removal. The other thing we announced today is that we purchased 1.3 million metric tons of carbon removal around the world. This is the largest purchase that any company has ever made.  We'll look back and say, oh my gosh, this was the smallest step we could have imagined. But what it really shows is we need to build a marketplace where those who want to build an industry to remove carbon from the atmosphere and put it under the ground or increase carbon in the soil. You can go out and do it. They can sell that service. Others can buy it. And that too, it needs standardized measurement. It needs data analytics everywhere. It needs auditable standards. But frankly, the other thing it needs, and AI I do believe will play a part in this, is it needs massive invention, invention specifically in carbon removal technologies. 99% of what we're removing this year is really nature-based and blended solutions. Just a modest part is technology-based, like direct air capture. And this is the industry that we have to have by big, global standards by 2050. And I think it's an area where we're gonna need government investment and basic research to advance. That makes a lot of sense. It's something that we've been trying to cover as much as we can in Wired. My only disagreement with that, Brad, is I'm not sure the full weight of capitalism is behind sustainability, maybe half the weight of capitalism. I'll reach you halfway. All right, we have a series of fabulous questions from the audience. I'm gonna read one from Mukesh Dalal, who is the chief AI officer at Stanley Black and Decker. Mukesh asks, a question for all panelists. What should governments, where WEF kinds of platforms do differently or more for massively scaling and accelerating more meaningful AI benefits to everyone? What do we need to do that we're not doing right now? What are we doing wrong? If you wanna, I'll try to do, Nick, is connect that very interesting question with the issue that you raised for Brad on sustainability. Because I think the greatest challenge that we face is how do we use all AI development to be more assertive in the way that we fight climate change because this is the issue of our time. And when we look at a country like Colombia, 50% of our territory is basically tropical jungle, 35% is in the Amazonic basin. So the most important technology to capture CO2 emissions is trees. And that's why we have decided to join Salesforce, Mark Benioff initiative called the one trillion trees initiative that is bringing the private sector and the public sector all over the world to get into that purpose. In our case, we made the commitment to plant 180 million trees by 2022. So what we need is to have the right and intelligent measurement so that we know that day by day, we're getting to the target. So that brings AI as a very important tool. The second thing, we are making a big revolution in Colombia when it comes to non-conventional, when it comes to renewable non-conventional sectors, especially solar and wind. In terms of solar and wind, we're going to pass from 30 megawatts that we had when my administration begun to more than 2,500 by the end of my administration next year. And we're seeing the solar parks growing all over the country. We're seeing now a wind park that will be open by the end of the year, which is the biggest in the country. And the usage of AI, I think is also going to be very important so that we take the better advantage in terms on how do we get the maximizer precipitation and we maximize the wind flow, but also storage. We're opening up the first auction for massive storage of energy in Colombia in the next month. And that storage also requires IoT, it requires AI so that we maximize the capability. Smart vehicles and sustainable mobility. We have in the year of the pandemic where the beginning began in 2020, thanks to the electric car bill that we approved, the sales of electric cars grew by 80%. And that is very meaningful. And something that I have been pressuring in a good way is how do we connect the massive conscience of reducing individual carbon footprint? How do we can use technology so that we measure if we're doing it correctly individually? Because we're talking about reuse, reuse, recycle, circular economy, but having the right data and the right measurement is going to be very important. So linking all this with the question that you raised from the audience, we have to see what's the goal by 2030. Colombia has said we want to reduce by 51% our CO2 emissions and we wanna get to carbon neutrality by 2050. Technology is gonna be the right instrument to measure all this. And maybe what's still to be built is how do we get from the individual measurement of our own footprint, carbon footprint, to understand how massively we can monitor the information day by day so that we really meet the target by 2030. All right, a very good audience question that ties together, or Brad, did you wanna jump in there? Why would you say also to answer the question just real briefly, I think there's three things that every government can and should do on AI. One, build on Julie's point, open up data sets so your own people and companies have access to public data to build on. Two, invest in digital skilling programs, especially at the higher education level for AI so that your own people will have the skills to go to work and get the jobs that are being created. And three, build on what the president said earlier, have high ethical standards as a country and enact laws that will put safeguards and guardrails around AI. The WEF itself is doing some really important work in this space, and I think the time to address this is now, when it is, as Julie said earlier, the early days of AI. I'm gonna add four, protect and support your journalists who will help hold companies to account and make sure that everybody is following up on their commitments. We have a great audience question that I'm gonna tweak slightly and direct towards Julie, which is, do the company comes from Lauren Pfeiffer, Global Shaper SF, do the companies you work with have best practices for training AI-powered systems in a climate-friendly way? Large models are requiring more power for training, so how can we offset this? Set up training facilities and geographies with eco-friendly energy policies? That's a great question, tie together a couple of our big themes. Yeah, I mean, I probably approach it slightly differently. So what, where I think we are in companies right now is that there's commitment, but there's not yet as enough linkage with those in the company you truly understand various sustainability issues and the business runners, right? And so for example, in supply chain, you have people, supply chain massively disruptive in the pandemic, lots of investment accelerated in things like data and analytics. You can, when you invest that to better run your supply chain, build in data sets and algorithms that will allow you to identify human trafficking and child labor, right? But oftentimes those who care about those things, right, are not the same ones who are making the decisions and understanding how quickly they're gonna do and seeing the art of the possible. And so it's a great question because it's really about saying, embedding what we call responsible business into every part of the business. And so for example, now at Accenture, when we are creating new offerings and solving industry problems, we specifically look at is there a reskilling opportunity, is there a sustainability issue and how would we embed it? When we do cost takeout, which is obviously very popular now, we don't just say, here's how you reduce your energy costs, here's how you can switch to renewables at the same time. And so my message to companies around the world and particularly CEOs is the only way that we'll do this faster is if you bring those parts of the company together. It is something, again, that my fellow panelists have done really well at their companies because they think about sustainability as a part of their business today. It's both a part of the competitiveness, but it's embedded. But that's where there's a long way to go. And it's one of the reasons we switched our strategy to say we're gonna bring this so we bring the question at least in everything we do. Thank you when I'm mute, Nick. President Duque. No, something briefly that I just wanna put in the table to pick everybody's brains here. And it's a concept that we are launching with the World Economic Forum and it's the concept of biodiverse cities, which are cities that get to protect biodiversity and that are pretty much aware on all the efforts that the private sector, the public sector and individuals have to commit. And I consider that the usage of technology in terms of being able to measure and to protect and to connect objectives for 2030, for 2050 or earlier in terms of carbon neutrality, I think it's gonna be very important. I wanna put that concept because with the private sector, I think we can accelerate this process. In our case, getting to a 51% reduction of CO2 emissions by 2030 implies that everybody adds to the objective and especially the private sector with the right regulation because I consider carbon credit markets are gonna be very important and reaching carbon neutrality with the right economic incentives is gonna be the driver in the next years. William, do you wanna follow up on that and how you're thinking about sustainability has changed in recent months? I know this is something that you've spent a lot of time on. I fully agree with the president and what the president now said about the price on carbon and in Norway, the government put 200 US dollars per ton as a price of carbon going forward and is an immediate reaction in the business society was how can we turn that into an incentive to fast-track technologies and solutions which can reduce emissions? So it had an immediate effect despite the fact that the 200 US dollars per ton will be built up gradually up to 2030. So in addition to that, I think this question about sustainability is obviously a very broad and a big issue but you should break it down and make it a part of your company culture. My experience is that it's really a motivating factor for each an individual employee and that's what has created a lot of results already in the other group. Last but not least, but don't underestimate public-private collaboration and we have already some great examples in the Center for the Fourth Industrial Revolution both in Colombia, as the president said and in Norway where we're collaborating with Microsoft and other partners. All right, well, we are out of time. That is a marvelous note to end on. Thank you so much to the panelists. Thank you so much to the audience. I felt like we had a verb and illuminating conversation that actually was full of optimism which is a good thing for 2021. So thank you so much to everybody who joined in and thank you to a fabulous panel.


I'm Ian Lockwood. I'm one of the mentors. I've been working for the young mentors now for about two and a half years, and I find it extremely rewarding, really. I'm not retired, not yet. I'm working on that one. I'm an ex-military man, but it's the work full-time. But when my children disappeared off the university, I had a bit of free time, and I thought this would be a rewarding way to use some of my skills and my life experiences to be able to help others improve their lives, if you like. So the young carers are effectively people in an environment that they're affected by people around them that are struggling somewhat, and that could be for a variety of reasons, and some of the young children that are involved in that could be as young as eight years old, could be as old as 18 in the young carers one. But there is a pilot running, and it's been running for a couple of years now to have young adults involved. So I've worked with a couple of young adults recently where they've been living in an environment that has been challenging for them. So any of the help that I can give them, help them fix certain goals that they want to try and achieve, and we can work towards that. I'm Linda Sample, and I'm a volunteer driver for the young carers. I pick three children up every Wednesday evening and take them to youth centre in Crawley, and they stay there for about two hours and do lots of activities, meet other people, and also have a break from their caring duties, which is the main thing. They can just be kids for a couple of hours. It feels like privilege to represent the group really, because there's a lot of effort and time that's put aside to help other people. So it's been a really good programme.