All right you guys, I got the call. I have decided to join the Air Force. I'm putting it out there so I have to follow through with as much as I can. Actually joining the Air National Guard, I'm not joining active duty. Now I finally come to this decision after years and years and years of thinking about it. Kind of been all over the place when it comes to joining but I literally just got back from talking to an Air Force reserve recruiter. We have a huge announcement. I'm joining the Air Force. For reals this time. I've made announcement videos before. Nobody's gonna believe. I'm actually joining. Okay so we just got a new gift which we have been excited about. I had a full thing anyway, I'm done.  I'm just so excited. Wait, what? I was supposed to open it earlier, or are we supposed to wait? Wait for what? What was the whole point of getting the laptop? So we can make videos. But what was the whole point? Why would we wait? The blue computer is about to die.  But what was the whole point? For you getting a job. And it came on the perfect day. Uh uh, did you get a job? Yeah. Uh uh. No. Yeah. He just called you? I got my job and my shift date. When? When? Earlier. Hey. Hey, come back so I get a job.  That is crazy. We weren't even supposed to get that for like another six days. So that came a week early. So. I got my job and my shift date. I got my job and my shift date.  I found out my job and my shift date. Yes. So I just uh, found out today. Perfect. I got my Air Force information. You too? Yes. Date? Thanks. Okay well have fun on your trip. Thank you. Okay I miss you. I'll talk to you soon. I miss you and I love you. Love you.  Thank you. All right bye. Okay. Thank you. I'll talk to you later. Thank you. Bye bye. Okay. Love you. I got my information today. But I got my information in. Is that you? Is that you're waiting for me to tell you the rest face? Really? Yes. Yes. Now the moment that everyone, including myself, that we have been waiting for, for so long, what is my job and my shift date? So, I am going to be public affairs and I leave on July 6th. I could not be more excited. I did the voice audition to try to give me a little bit more leverage in getting public affairs about a week or so later, my recruiter had told me that I passed. I didn't share that information because I didn't want to tell everybody, hey, I passed my voice audition and then me not end up getting that job. So I'm like, I'm just not even gonna say it and wait and see how it ends up. So my recruiter called me yesterday about 325 and said, hey, I hope you're ready to go. We got your public affairs. You leave on July 6th. And I'm like, that is sweet. Because Kyle and I, we're gonna be leaving to head back to Iowa at the end of June, early July. So this just works out so well. I wanted to be at basic training during the summer because I hate the cold weather. So I am so excited about that. I have my BMT bag packed and ready to go. I'm gonna be making a BMT packing list video in the near future. So stay tuned for that. If you guys are not subscribed, be sure to subscribe if you're, maybe someone who's interested in joining or if you just wanna follow along with my journey because I'm posting videos every step of the way. But it is amazing to finally share this news with you guys.


Hello everyone, I am Dr. Srikanth. I am a consultant, pediatric gastroenterology, hepatology, nutrition at Manipal Hospital, Bangalore. Causes for acute liver failure can be multiple and in Indian scenario, it is viral infections. Acute hepatitis A followed by acute hepatitis E and B are the viral infection which leads to acute liver failure followed by drugs. The most common drug implicated is paracetamol which is a fever medication used very commonly and certain anti tubercular drugs. So, these are the common causes apart from other rarer metabolic disorders which can present in infancy. The symptoms would be non-specific like fever, loss of appetite which child may not eat or even specific symptoms like jaundice, very high grade fever, bleeding manifestations and altered sensorium.


He pulls into those hairies and the channels. Pressing up, down Griffith's looking non-plus, but Chris Griffiths-Jones says that's a free kick. Well, there's no Shinjiyono, of course, but Shannon Cole can strike a mean free kick. He's scored a fair few for Sydney FC, from this sort of range. It's Cole. It's a goal for Shannon Cole! One-one! Stream time start for Shannon Cole, his former club. It just goes around the wall. I think Nacevskiy's going to be disappointed with this. He's a meter up his line.


7. Effective Ways to Motivate Students in a Diverse Classroom Having experienced campus life as a non-native English speaker and foreign student in Canada, I have learned a few key aspects that affect the overall learning experience in a diverse classroom. The effectiveness and efficacy of the teacher primarily hinge on their ability to engage the students enough to maintain a reasonable level of motivation. I have observed a few ways that would increase the motivation of the students, especially within a classroom full of students from diverse cultural backgrounds and language levels. 1. Stay Relevant By using real-life examples, current affairs, personal testimonies and even the current happenings in pop culture, the teacher can quite easily engage the students because of the relevance the students can draw in their own lives. The relevancy of the course materials will invite the students to participate in the classroom. 2. Stay Connected To encourage students to interact with one another and practice a language, the teacher may create an ongoing interactive activity to help the students to remain connected. These activities may include letter writing to a buddy student paired up at the beginning of the class, or a brief weekly sharing of highlight of the week in one or two paragraphs. 3. Stay Competitive The teacher may also use interesting and relevant materials that challenge the students to earn for more in their learning. Healthy and friendly competition through team games, debates and group activities can help the students to spur one another on, and to increase class bonding and camaraderie. Team games such as pictionary and charades can be fun and meaningful activities that can be used to promote healthy competition in the classroom. 4. Stay High Tech In this day and age, it is not surprising for the students to enter the classroom with basic expectations of seeing some form of modern technology being used. Tools such as PowerPoint, overhead projectors, iPads, TV and speakers can be used to keep the students appropriately stimulated and engaged to increase motivation and participation in the classwork. 5. Stay High Touch By taking some time to get to know each student's personal interests, fears, language fluency, strengths and weaknesses, the teacher can gain the trust of the students and therefore increase the motivation level in the classroom. 6. Stay Tuned By highlighting the special interests, skills and talents of the students, the teacher may be able to incorporate those areas in the coursework. For example, the teacher may pair up a student who enjoys playing the ukulele with another student who enjoys singing to prepare a song in their native language and or the translated English version of the song and share during a class. 7. Stay Modern I remember attending a class in the 90s where the teacher would use multiple video lessons produced in the 70s to illustrate some concepts. Though the content was relevant, the presentation was not. The motivation level in the classroom dropped over time because the outdatedness of the videos had distracted the students' attention and focus. It would have been a lot more effective for the teacher to use more current visual materials to accomplish the course purpose.  There are many more ways to increase and maintain the motivation level in a classroom. I have only pointed out a few ways above drawing from my personal experience as a foreign student. I look forward to continuing my quest and exploring more effective ways to teach students from diverse backgrounds. Speak with an ITTT advisor today to put together your personal plan for teaching English abroad. Send us an email or call us toll free at 1-800-490-0531 to speak with an ITTT advisor today.


All right, bow should be good to go and we are recording you hear me. What's up, buddy?  You know what though about I think that I think that IG live was so wonderful man And I'll tell you why because you know people forget man that not only are we human that you know It's a good it's just a really good reflection man on how to go about life, right? Not just trading and asking questions and it's just really good man We need these therapy sessions where you're talking out man. Seriously. I need them at the time You need them. We all need them and there's so many people that have just been misled in this industry I think it was really cool for people to hear man. Seriously Yeah, so the thing is trading is is in my opinion sembers 70 percent mental Oh, yeah, we can we can teach you all the rules. Okay, we teach you all the rules all the strategies But being able to have the discipline follow these rules that that is the toughest part of trading That's why you see it's very hard to become a successful trader on your own That's because Trading it to me as a mentored profession. It's like playing tennis or golf. I've been playing golf for 20 years Because I was egoistical I never got lessons I thought I hacked my way through I did pretty well hacking my way through but then I could never break through that next level, right?       Okay, I'll break up with it and get back together with her Why she's still treating me like this.  It's like, of course you but we want back to the relationship like No different with trading and sometimes the toxic relationship is not with another person with yourself. Yeah, seriously, man I mean, I think it's just so relatable on so many levels, right?  That doesn't mean you try to nail all of these in the first week Find one that you really suit like get suitable with and comfortable with and then rinse and repeat and do that over and over Do the good habits over and over like that's that's kind of what we're getting it man like what does it mean to be a trader and You know bow is a master of low-hanging fruit and channel trading and that might not be some of your strengths You know for whoever's listening this, maybe it's longing. Maybe it's VWAP reclaims. So like be Obsessive and consistent and do the same thing there be be repetitive in what works not the things that don't like that's the thing That we're trying to get over here is a message to you guys Yep, so we have to figure out what the issue is is it a technical issue is that you don't know You know like the strategies or is it a mental discipline issue?  They're together in a training pit, right? And this is so we don't have the luxury of doing that. So the closest thing is this chat room Dude, and what's so funny and to prove you right on that bow to prove you right Do you know how many times I've literally brought it up to Alex?  He's like getting everybody psyched up dude That's why they do it in Wall Street. Fuck. We would be no different man We'd get office space and all trade together with them But you know, we're halfway across the world, you know from each other, but that's I get it man.    So it's all up to you And my advice to you guys is this man, everybody goes through a shitty day You have to have someone to talk to you To calm you down. They know your trigger points.  All of a sudden maybe good things happen Yeah, it's like the momentum of like life, right?    Oh, it was just never implemented.    Like kind of like view like what like what you did. I went through a Great streak. I mean I've been on on a roll, right? Yeah, you're gonna roll sometimes I break rules And I got away with that overly cocky.  Do you think you know better, right?  I mean that's first base man That's like that's like even before you walk up to the pitchers mountain to be honest with a batter's box You know, but you know, we try to give you guys analogies that you can understand, right? Yep.   It happened me today.  Why didn't I have an actually awesome so about what was it on? What was it on a process level that outside of max day you lost like on a technical level? What did you break in your process? But were you were you sure I pretty much scaled too fast? I didn't see my size balloon up and that's usually what happens to me Yeah, guys Because remember guys like one of the things that you know, Alex and and I talk about a lot and bow talks about this too Is this is MIC process is if something's over VWAP man And you're not a real it even the advanced traders do it 30% size like just make sure that you have a real Hardcap on the size that you're using if you are playing counter trend a little bit or shorting something over VWAP, right? Like that's something that keeps traders say beyond that guys.  And so our GC Last time I traded and I've nailed it. I looked at that P&L I mean relatively it's great for everybody else.  I was not happy before with my giant games, right?  And so then you start to size up Where you should not because you miss out on the first time around Makes sense guys.  Incessant relationship You don't want that kind of relationship.  This there is that no, that's pretty bad brothers good It's just bad guys, so you have to have it step child man There are many forms of FOMO guys many forms of FOMO that the thing is people do not understand You know people understand the generic FOMO of chasing a trade, but the deadly ones are the greed dude And and like if we went back to live now like before the open dude Look at how much this kind of fooled people right like dude look at how fast that can happen if you're not careful And that's range. You're wide check a look back at you know a couple days ago.  Why am I pussy?     I didn't lose that much and then I'm like this motherfucker So what I did was I tripled my loss Yeah So so what happened was this actually I doubled the loss and I got pissed and then I slammed t-cat and Then it just ripped on me So what happens is okay when bad one bad trade happens it happens in bunches, right guys, right? So this is this thing that this is what max data loss helps you with okay? I think look at listen very careful. This is this the anatomy of blowing up When you first initially lose it's not that much Okay, let's say I'm gonna make it up. Let's say you make it you lose 10 grand, right? It's not that much, right?  Yeah, I can't sacrifice my ego and take a 20 grand loss I better make it back now, right?   They lost it did not trigger so I think somewhere along the line you have to keep calling your broker every month dream because I'm not gonna blame the brokers.       You need auto liquidation Max loss.     Tell you right now man. Max Fucking learn it from me bro It's the thing is you have because you always think you can make it back Sure, sometimes. What have you ever made it back?     You lose a day two days. Okay, maybe you can make that back You lose more than that forget it.  We put them on it down shut it down. Yep Aloha trader. What's up, man? You here?   We got Alex working out these days.  I'm sure you know He kind of discussed it But like do you have any questions about this like this is kind of like an old guy guys what I just told you It's huge.   No one talks about the worst case scenario, right?    It's not sexy. It's not lifestyle It's not sexy. It's actually kind of mundane it from a from a bird's eye, right? But it's what makes consistent traders guys. It's what makes you profitable Aloha just said like I said my afternoon trading webinar afternoon trading is full of people who lost in the morning Thus people go bigger and expect bigger miracle moves to build them out Which is why shit-only channels or the stock that hasn't given up won't give it up yet That's why I always tell people if you're still around at their first 90 minutes check to see if you're still here because you are red You missed or you aren't satisfied with your green. That's really good, man. I love that That is exactly right man. It's just dude. It's just exactly correct.  Don't make it back.   I'm already under PDT Whatever, maybe right? I have only 20 points on and then you attend you basically you it's like gambling But we can see them at the end.  I'm gonna put the glass.  You're like $1,000 Right $1,000 Zero that's like groceries for two weeks Thing man, so I mean at some point we think that is useless, but then you sober up This is why you need to not get to that point where Where you are like that man, because the moment you get like that.  See these are guys right now trying to make it back on the shorts that they lost in the morning This is this is a visual representation of guys trying to make it back What time is it guys? Dude, what time is it? It's the last hour guys under one hour What do we tell you all the time your window to short? I'll draw it for you is Right. Let's go through the time base rules again for them. Yep So in in the first hour of the day guys the shaded time is obviously pre-market. So the first hour Forgive me. It's still West Coast time on here. So don't look at the numbers. Just look at the Lines this is the only time you actually truly have an edge shorting right here to right here So the first hour and then obviously 2 2 3 p.m. Eastern and then all else is either zombie time Bull long edge and or just chop that shorts should probably not really getting acquainted with unless it's the outermost line And or the top of a channel And that's coming from a short a shorts perspective So when bow is shorting during these times you'll notice that something has already put in a top massively set up a range And he's hitting that said top, you know what I mean all these fuckers Yeah, yeah channeling exactly, but here's what happens Here's what happens when you trade out of the time that you shouldn't be trained This line right here is the final in fact. I'll move it even more. It's right there Sorry, it's that candle and this is a three-minute chart That's the last minute shorts actually have an edge. Look what happened Like that's insane, dude.         God, you know, you bow.  I see platform or something where Shorts were literally it would cut you off after the first hour like you can't even sure That's a wrong way to think okay, so I'm gonna tell you to get to the next level this discipline bro No, I mean, I mean every style is different. I guess Absolutely how this has a different style. So don't tell people they should Blankedly do that what you know, I mean But what you need not even shorts even shorts. So the thing is this these these generic Rules we have are generic.   They don't use a hard stop The blow-up is they don't have max a loss the blow-up is their max a loss is way too big I know some fucking traders here that max a loss is about third of their account, you know You cannot be like that right could be like it should be like two days of your count three days Yeah, I always say two to three days at the absolute maximum. Yep So so I do I will start doing this man.    It's true.  It's stopping the massive losses you're saying I'm saying remember what I keep saying you can try However, you want as long as you predefine your risk. Yep. I love that. Okay, and how do you predefine your risk?  They lost is not enough auto liquidation max.   You can you can you can call Yeah, I do that bro. Yeah, I mean people could you could always sway people and turn it back on dude I've done that back in the day like I mean That's your own bullshit man. I'm talking about that. I was a new trainer, but I know what I'm just saying You see what I'm saying guys. So, you know I've been I've been trying to figure out how to stop people from blowing up seriously guys for a long time Yeah, so we came up with this man for the loss of work And then I'm people defeated right they call in like you said ready all that sad stuff.     Yeah, and then your life's over, right? Like you're in prison. You're sued.   It's just it's you can use it in so many different examples, right? That's the man. So I know man people trade however they want.      Oh, I'm still up this week.  I'm still up this year.  Yeah.   It's all good.  That's the best you're gonna get because you still need the free will to trade like Val said You can't just have a platform that literally shuts down or blows up in your face like Because you know what man? Who's to say our strategies is the best strategy, man I I've done very well during zombie hours. The problem once again is no massively awesome. This account. Yeah So I mean that's the thing.  That's why Who's here in webinars? Is it anybody listening to this? Yeah, we got a lot of people in here. Okay, um Ask him man.     Yeah, be honest guys like maybe you haven't gotten it.   So, you know be glad that they have blocked it Let me take a look at this actually about the only two traders that I see that are knows are actually very new to the community So that's the only reason it seems that they don't Jay Calvin definitely recommend doing it brother Who else who else didn't? My seat. Ah Jay arrows. I think you guys are both new man.  I mean you learn from us man. Do you know how many years? Oh, you just kind of cares why not trading with money strictly education.     I didn't know I could recycle so I stopped trading I was like fuck. Okay. I'm good.  I try to defeat the system, right?    You have to have for a large supply of shorts RGC that was it ran out.    Otherwise, you guys would have blown up Because I was flawed I was thinking RGC was threshold stock because it was the other day I think today they took it off man.  I'm gonna take a look Yeah, I'm gonna double confirm right.    Okay guys RGC was Red show yesterday.   You see that guy. It's like Turning on and off SSR If you are unaware You see if you are unaware of SSR and that You can get fucked. So you always have to so so this is a new shit, man. Notice All these stocks are running So many of them are a threshold red show stock such as What's another one SPRT?  Maybe that's why I made money. I located eight 20,000 shares of SPRT and they kept on refreshing Oh, so so so notice a lot of these stocks are running now so every Everybody's trying to gain something Okay, so we know SSR we everybody's aware of it because we educate people on SSR, right? We educate people on easy to borrow so they so now we we know which stocks to avoid Going sides because of zombie because it's easy to borrow right now.  Let me let me do a screenshot for you What it looks like with the blocker cut? I never thought I'd see regal theaters over here. It's crazy See it says this on your low key monitor.  I didn't do my checks the hard part about checking the There's a NASDAQ. I'd say you guys do this once NASDAQ one is New York Stocks States, right?  Oh Stock to squeeze you need to have Shorts that are stuck If there are no short locates, there is no way that stock could be sustained on a squeeze It's just it's not gonna have that's why that's why Alex That's why Alex would pay a dollar a share to locate a stock Because he knows the moment that goes up.     I could keep refreshing my 5,000 shares Yeah, yeah, so that's so I'm all damn like puzzle Why how is it so when so still you understand now the nature of a sports please guys?  It has to come down. Even Alex talked about that.  I'm right or wrong. I don't know but You know, I think it's that's what happened to me. So if it happened to me might happen to other big traders I think sense brother makes makes crystal clear sense to me The t-cat locate was pretty expensive cobra data didn't expect that move. Yeah t-cat had a big move to crazy We're just we're and we're also transitioning in a market with a lot of traps I mean, it's not just solo, you know, it's not just RGC It's like, you know, s s s prt right now even AMC had squeezes this morning frickin 80 T X this stuff every time it ran for the first 30 minutes and then Right back up and stuff and right back up and said it was crazy Like this is just kind of a little bit nutty of a market to be honest The the meme stonks are back as Alex tweeted today And I'm tell you man You guys are fortunate because you see on my losses today led into more rules and led into more insight on why these squeezes happen so you you basically are You I have my my big loss you are paying To avoid So now you understand so go through your checks.  So be careful what you wish for so sometimes having the ability to short something may not be a good thing You have to understand if I knew that would came off the red show man.  Yeah, I was gonna say about for that kind of range that 5000 that's a shit ton But that's what I'm trying to tell you so if I had if I had two thousand shares max to to short My max my cat my lashes will be cat make sense. Yeah, so having having a max size Start to implement a max size for you too because that's another layer layer of defense And this is why you know that trying to locate only 2100 shares Because I thought I can that's the max size I want right And then but then I'm like oh, it's red show.   Yeah So so it's cool, but but you see what I'm saying guys so So now you understand, you know how much money I lost To come up with the zombie rule How much money I lost to come up with the 3 p.m rule Because when you start trading you don't understand why these move happen. Think about it. That's not obvious 10 30, but why 10 30? What? And it's so obvious. Why am I getting killed on these squeezes? Why is it so many zombies? Oh easy to borrow you see how? Non obvious easy to borrow is yes, even farmer thinks because there's a lot of shorts that it won't go up These it's not obvious.  I have not heard about this that That the natural buyers the natural bidders of a stock People think the natural buyers of stock are longs. No, dude. Those are the natural sellers.  They're always on the offer trying to sell their position So it's counterintuitive.       Seriously.  Yeah I am telling you right now, man.   We we used this we're the zombie world was very exciting Easy to borrow natural bitters of a spot or the short deviation from view up Is the 3 p.m. Rule 3 30 p.m. Rule reversal hour rule and you know, you notice you notice now the reversal hour It's not reversal hour anymore. They they game that so so rules change over time guys Rules are not absolute rules change over time And so you must adapt because the algos are adapting Dude back in the day back in the day about you could literally just short and walk away You just can't do it anymore, man. It just does that that it does not exist anymore And you know what that may change again Like I don't know but we just do the best we can set max daily loss set hard stops and obey trend Don't fight frontside and if you do use a very small amount of size you can handle size correctly and guys that's what I tell you man I'm gonna repost that thread again I'm gonna repost it now. I'll reiterate it and we can yeah, please do. Please do. Um Everyone needs to read this cherry spring to give me a seizure Here I want to post this right now you guys oh amc is breaking down again, man We can be night.   I think that you've really over the years man identified that bro bow You are so good until you get super cocky It's the only time bro where you really Kind of lose your footing and then have the bigger losses obviously like the max daily loss like now you have that on the account I'm sure and ones that don't trigger there's that that's a whole nother topic But dude i'm telling you it like like that was my biggest weakness And I think it still is as well just like yours is getting too confident I think I think the more we trade the more you can just learn to identify yourself seriously even after 10 20 years and the more you can do to just mitigate the problems in your process right and that's yours Let me uh so far a lot like this guy's been here. Well, let me dissect what he just said. Yeah Many shorts are still stuck. Why do you say that funds?  There's no more shorts that are really stuck now Is the short on pops tomorrow?   I'm out at 50s the broker who got me out.   It killed everybody everybody. There are so many easier people Well, let me say this because you know, you know, I've I've always made this very clear from the day I started educating I said guys when you're new You just I don't care if you're long or short and you're even following trend You don't know how to play a stock that has 40 dollars of range in one day It's too much for you when you're new This is just because dude even if you nail the trend, right?  You didn't scale, right?  Yes for sure When the when the veterans die, maybe just maybe just don't train that day Well, and also this guys think uh, you remember once again, you can try however you want guys Fonds go go go load up in the long.     Yeah, let's see about for educational purposes at this point All right, let's see brother Yeah This is the end of this shit I went I went way too much at the 20s and it blew me up to the 30 Is that what you're saying? Yeah. Yeah, I see man. That that was uh Yeah, I was far far far far away got me today on this. You made back the money at your phone. So you made money on this I lost money on this so um And that's and so when I covered You notice when I covered guys I thought it was red show. I'm done for the day And then I went back. That's when you saw the second wave where I made money I made a bunch of money back. You see I scaled all the way up and made all the way And he gave me the false confidence.      I turned around.   So I I pretty much from the I from From the morning I doubled my losses. So I made back a lot of losses. Yeah, I was actually I was like, okay I'm cool. I'm cool. And then boom it teleported from 36 To 50 dude well because because like the thing the things that I want new traders to understand man and you know We should probably end with this because we're almost coming up But but guys like when you really understand price action This is going to write you a love letter. What I mean by that is you're just going to see hidden messages in it Right, like I could look at this chart and immediately know what that was thinking He was a little early and a little bit sloppy here because he got over confident recently and also he even admitted He didn't you know do the reg show and stuff appropriately like he was a little quick to go into it, right? So that's the first one He gets confident and go it's real confident right here because he makes most of his loss back But then revenge trade fights it can't you know Doesn't really want to accept that maybe he lost big here and then one last, you know kind of revenge and that's that's that's the And you know this man. I had big size high And then now I'm watching this thing drop 10 points So if I had if I had to held it but my brain was already all flopped over I held it if I held it it might go 100 That's the that's where we eliminate the gambler in us, right? That's where we kind of do the max loss Admit defeat and say, you know what back to process tomorrow.  That's not what you want So I get it bell. I get it man. Today is a really good learning lesson for members.  I got two of them Oh Was it the tea? This one I I was actually up and then I got funny. You can see where I got killed on this one. We're talking teacat, right? Yeah Yeah, here. I'll pull up the chart for you guys one sec one second Oh god and look what it did day one man. It looks like a perfect low hangar man. I'm telling you yet. It's just Dude tea dude, it was over and it was under vwap. It was under late.  You know that covered it covered that and then dude Dead so like and I get all your shorts and and recovers because about literally up to this point It's all under the previous high of day.  I get it. Yeah And teacat yesterday teacat yesterday ended very weak.  I'm gonna make it back.  No notice The VWAP is the over under in both of these scenarios. Take a look at t-cat.  I know All day all day not one minute. Did it go under out once it reclaimed in the morning, bro?  I'd say you got a lot sloppy and revenge on this one But dude t-cat was just the one where process just doesn't work A hundred percent of the times nine times at a time my my problem was this guy.         We are here trying to educate man. I'm not just here to try to make money for myself I I mean I I can make money.   Oh my god. Oh my god.  I see Not even It's not even like dude. It's not about money like yeah, okay like your hundred dollars is gonna help us No, it's it's the it's the level of respect for yourself Like you respect bow go out of your way.  Like what? Uh, it's just about five years.   Oh my god Now i've come to the conclusion bro I've come to the conclusion after it took four years three years public since m. I see was launched But you know people don't realize that we've been doing this for four years because it took a year to create m. I see before We went public and what people don't realize dude is like you get to a point where you realize You truly cannot help everybody. I had a guy that called my business line bro last week 20 minute phone call I had to debate with him for 20 minutes how he's standing up for farmer or or those type of people those type of communities He I had to literally walk him through How and why he kept losing money he stood up for every second of the day every second every minute for 20 minutes He just kept fighting me. I'm like, dude. I am looking I don't know how to deal with him anymore man Some days are better than others tosh today.    I want to end with hold on Let's go. Let me show you guys I actually want to show you real quick one second and we can end on this because I know the market is closing I know you guys got to get to lunch and everything but but I you know, I made a video on this dude This you guys need to watch this. This is only out to make it from it But it's this video you I put a toy out Let's post that again, bro Post it on your twitter and I'll retweet it Fuck I'm trying to find the actual long one though because I know we do some uh, I know we do some short versions Let me see if I can find the link one second one set Dude, it was a long time ago. I put a 20 minute video together on why and how exactly they do it You're getting scanned. Let me see if I can find this if you guys need to just go back and scroll on our youtube channel It's me. I'm wearing a hat.   You can't make this again. This guy's crazy. You can't make it up, dude Guys, it'll take me forever to find this but just please go back and watch that video if you're new Is your furu video bro? It must be you guys just you'll you'll find it I'll find the link later and we'll post it, but you need to watch that.   Yeah, that's that's only the minute one Go find a big one man. We'll find the big one man. I'm like I'm talking about furus, bro Yeah, yeah, so thanks guys for coming. But uh One of those days, bro, at least you guys can learn from something from it. So oh my god, dude Not really quick our lifetime member bong said that was the video that made me join m. I see that's awesome, dude There we go, but we need to repost it man. I think I'm gonna find I think uh You tweeted once right so I want to search your name. It's on there.  Thank you guys. That's it. That's it. We finally got it That's the full one.  So it was Best thing we could do man is just get better daily and learn from our own mistakes and Oh, look at this one. Look at this one What's that? Look at this straw Because I bash all these computers.   That's mom's I'll take that basement. Let's go ask his mom. Which basement is it? Or dad All right guys taking Oh, you're on the trolls. I love it. I love it. He goes to trolls Is he there? Is he still there? Yeah, what's that? Is he still there? Oh, no, dude, this is a weird thing. He follows me too.  That's that's the other thing man. Why do they pay such close attention? It's just keep watching us dude. They're in there. Hey, what's up, bro?  I let's go eat some lunch man guys We'll see you back in after hours, man. Yeah, see you guys


Hello and welcome to My Career in Data, a podcast where we discuss with industry leaders and experts how they have built their careers. I'm your host Shannon Kempe and today we're talking to Hillary Ashton of Teradata. More and more companies are considering investing in data literacy education, but still have questions about its value, purpose, and how to get the ball rolling. Introducing the newest monthly webinar series from DataVercity, Elevating Enterprise Data Literacy, where we discuss the landscape of data literacy and answer your burning questions. Learn more about this new series and register for free at DataVercity.net. Hello and welcome. My name is Shannon Kempe and I'm the Chief Digital Officer at DataVercity and this is My Career in Data, a DataVercity Talks podcast dedicated to learning from those who have careers in data management to understand how they got there and to be talking with people who help make those careers a little bit easier. To keep up to date in the latest in data management education, go to DataVercity.net forward slash subscribe. Now today we are joined by Hillary Ashton, the Chief Product Officer at Teradata and normally this is where a podcast host would read a short bio of the guest, but in this podcast your bio is what we're here to talk about. Hillary, hello and welcome. Hi, Shannon, it's great to be here. Thank you so much for having me. I'm excited to be joining the DataVercity podcast. Wow, we're so excited to have you here. So you're the Chief Product Officer at Teradata. So what is Teradata and what is it that you do? Teradata is a cloud and analytics data leader. We have a new cloud native platform that we just launched and it's really the market's most robust analytic capability for driving AI and ML at scale. We serve some of the largest companies in the market. Our customer base includes like 17 of the top 20 global commercial and savings banks, eight of the top 10 retailers. So we have got really big, big, big data customers. When you think of big data, you can think of the data that Teradata has. We've been around for decades. We were born on premises and over the past several years we've made a really exciting journey into the cloud, really transforming how data comes to life through AI and ML in the cloud at scale. I think you also asked what my role is. So I'm the Chief Product Officer and that means that I build the product strategy and direction for the company. But I don't do it by myself. I have a brilliant and really dynamic team of super smart people who are experts in data and analytics. They've solved some of the largest, toughest problems with data in the world.  Oh, very nice. I love it. And just to clarify, for those who may not know, AI is pretty straightforward and common, but ML is machine learning just for everybody's information.  Like, did you dream I'm going to go be a Chief Product Officer for an analytics company?  My ceiling, thinking about being a Chief Product Officer at Teradata. No, as it turns out, that wasn't what I was doing at that time. But it's really interesting when I was growing up, my dad actually used to call himself the database guy. He worked in data and I'll say analytics, but really, at that time, it was much more data and computational stuff. He was actually an intelligence officer in the Navy and worked on some of the largest mainframe systems in the 70s. So he was really very sort of my first spark, I guess, I'll say, comes understanding what data could do. And, you know, I remember as a little girl driving in the car to a soccer game and he would kind of tell me about what he was working on. I was like, oh, that's kind of cool. I'm going to go play soccer now. So, you know, all throughout my early life, I had kind of an education in data and kind of the power of data. But it wasn't until I was a senior in college that I started to become much more interested in the early opportunities in the internet and really some of the early opportunities for data at scale. So that was sort of the beginning of my journey, I guess I'll say. That's fascinating. That's very interesting. So as you started really making decisions about what you wanted to study, what was that? What did you start focusing on? Oh, my gosh, you're going to kick me off the podcast right now. I was a government major. So I was a brilliant data scientist and analytics and engineers. But I am a liberal arts, a product of a liberal arts education in government. Wow, very cool. That is very interesting. How did you progress from there into into what you're doing today? What was the path there? How did you what what what did you learn? And where did how did you transition between jobs? I think when you look up non-traditional career path, like maybe my name will start to come up at some point, probably not. But so I, as I said, I started getting involved in some of the early Internet work that was going on. I'm dating myself a little bit here, but I built a work of teams that built some of the first, first large websites in the world. Really early days and really interested in things like web analytics and really understanding customer journey mapping. And then I joined a company called SAS. They're still around today. They're one of the originators of data and analytics. In the big data arena, I spent 10 years there really understanding data and analytics and certainly absolutely the technology had a knack for really understanding the the logic behind technology, but also really understanding the value that data and analytics produces for large, large scale customers. So that was my that was my really early part of that from there. I don't know if you want me to go on. I can tell you just a couple other stops. Yeah, please. No. Yeah. From there, I worked for a software service company based out of Bangalore, India, which was super exciting and learned a lot about, you know, taking a company that was founded in in India and how to make it relevant in the US market. So I ran the the team here in the US. And then from there, I joined PTC and PTC is an IOT and and CAD. If you think of like coming up with the design for large scale machines, they do a lot of CAD work in in that space. And I was a general manager of their augmented reality business unit. So I had all kinds of exposures to computer vision data, which is really understanding if you use your phone to scan something in the room and understanding the room. Now you can actually do that with machines as well. And so we took IOT streaming data, massive amounts of data. Some is useful, some is less useful and really making sense of that data through computer vision and also through IOT sensor data. And then I came to Teradata and had this great opportunity. I knew about Teradata when I was at SAS. I knew about the power of Teradata. And I had a view for how we could really transform the value that we bring to the market into the cloud. And I've been here for the past three and a half almost four years now. Amazing. So what skillsets do you find that you're using in your job and from the transition from that, you know, nontraditional career path?  To follow this, this is not ever a straight path. But so what we're so you have this passion for analytics and so you're bringing all that and what skills are you using in that job today? Yeah, I think it's a couple of things. I have always been super curious about how customers, our customers, get value from data and technology. And so it's not really data for data sake or technology for technology sake, but really what could you use that data and technology for? And so can you use it to think about a cure for a disease? Can you think about it to identify fraudulent behavior? Can you use it to figure out what's the right best offer to give somebody when they're at a checkout line or something like that? And so really understanding how these different data sources come together, being super curious about technology and how it works and then how it provides value. So I think that is one of the super skills that I have. I also really understand, I think, the where the market is going from an artificial intelligence and machine learning perspective. A lot of our audience has probably heard about generative AI or maybe they've heard about GPT. If you haven't checked it out, highly relevant in the careers that you're probably working on right now. So the idea of disruption, the Internet was a big disruptor, right? I think computer vision is a big disruptor. I think that generative is another disruptor. And so how keeping an eye on value in the time of disruption is also something that is super important. And I'm pretty good operationally. I'm a pretty good people manager. You've got to ask my team if they agree with that, but really focused on developing empowered teams, operational rigor and agility and execution. I love that. So, you know, speaking of teams, do you see the importance of data management and the number of jobs working with data increasing or decreasing over the next 10 years and why? Absolutely increasing and increasing in ways that I don't even think we can begin to imagine right now. I think whenever we have some of these disruptive things that happen, I think there's a concern that jobs are going to go away in the technology space or in the knowledge worker space. That generally hasn't been the case. I think what we see is people evolve really, really rapidly and new jobs become available. I'm speaking specifically about generative right now, which I'm really excited about. So I think that is, I think will be increasing. I think that the team piece is also going to be increasing. And so if we look at the maturity of data and analytics workers, we've kind of gone from an ivory tower, you know, super data science, PhDs.  And also there's a whole bunch of data users who don't have that level of expertise. And we need to bring that understanding of data to the business and to really building that bridge between what data is, how it works, why it's useful into the business driving really amazing outcomes for the business. And so that understanding of data growing, those jobs are going to grow massively. And also the more that you can understand the business, I think the more successful you will be. And that requires collaborative skills and seeking to understand the data and the business side. With a robust catalog of courses offered on demand and industry leading live online sessions throughout the year, the Dataversity Training Center is your launchpad for career success. Browse the complete catalog at training.dataversity.net and use code DB Talks for 20% off your purchase.   I think it's going to change things pretty substantially for people, but humans, you know, if we think of ethics and we think of trust and we think of ethical data, ethical AI, ethical ML, that there's there's a whole bunch of work that humans will have to do around the trust of data and the trust of the AI and ML and generative space. So that's go liberal arts students.  I love that. So what advice would you give people looking to get into a career in data management? So it's a very exciting space right now. I think you have to find a place that you personally find really exciting and interesting. I think if you're doing it because someone told you to go do it or you think you're going to make a fast buck over here, you know, careers can be long and data and analytics can be tough. And so you really need to find an aspect that you think is exciting. It could be that you think you can help cure a disease or you think you can help with poverty. You think you can help with certain aspects of how data can really drive data for good. It could also be that you think the math is really cool around analytics and you don't want to get super involved in that or you love technology and data is just a part of technology in your frame. So find something that excites you, find a reason to get out of bed and go get after it every day. And then I think look for places where you have a unique skillset. You might be the fastest programmer out there. You might be somebody who really thinks deeply and solves big picture problems. You might be awesome explaining some of this to new workers and to customers and really solve problems through the data. So lots of opportunities out there. Find something that you're passionate about that you want to really focus on. Such great advice. And it's a common theme that we're hearing for many people is find your passion and get curious, right? And do you think curiosity is a skill that can be learned and practiced or is it something that you either have or don't? I think it's something that can be practiced and improved on. I think humans generally tend to be fairly curious. Just as, I mean, it's part of what's kept us alive as a species for so, so long. If we weren't curious, we'd all have been drowned in a river or I don't know, burned by fire or something probably a long time ago. So I think adapting and being curious is part of our deep, deep DNA. I think sometimes in cultures, meaning corporate cultures or even family cultures, that curiosity can be tapped down a little bit or maybe frowned upon. Maybe you shouldn't be a hand razor and ask questions. So I think in order to flourish with your curiosity, you need to find a good environment and maybe you're part of someone who can create that environment for yourselves and for your teammates to really ask the why, ask the how, ask the what else could we do here? So I think making sure that you're putting yourself in an environment where curiosity is rewarded and where mistakes and errors are, people are just curious about it and then figure out what we're gonna do differently. And in that case, I think framing that for teams is super important too. I think it helps us innovate much, much faster when we're curious, we learn and fail fast as they say. But really be curious about the failure so that everyone can learn from it. Oh, important, such good advice. So many people think that the failure is, you try to avoid it, but that is how we will learn, right? Absolutely. So one of the first people to bring up some of the cool things that data can do, right? Like you mentioned, improving health, solving global problems, what are some of the cool things that you've seen come as a result of data? Yeah, I mean, I could just reflect on a few areas and we could talk about this for like another two hours because I love use cases. I use cases of how data solves world issues and local issues is pretty exciting stuff. So during COVID at Teradata, we had customers who had very different data needs, right? Some medical suppliers were spiking in their need to understand data and analytics. Supply chain became a massive problem in getting materials and goods to healthcare workers, frontline workers, but also automotive supply chains, airline supply chains, right? And so being able to help our customers with the data that they needed during the Black Swan event, right, another data Black Swan event tied to the terrible COVID problem was something that really led to some remarkable transformative opportunities for customers. I think in other parts of the business, there's, you know, if you think of banking, I think fraud is a super interesting area and it could be super nerdy. We have a customer that is doing something to prevent remote access takeover. It's called RAT and it's where someone's trying to pose as you on their website. So they log in and they say they're Shannon, but actually we can detect through data and analytics in real time that that person is not in fact you because you're not in Japan or maybe you don't normally browse the website in this particular way. Maybe you don't wait on this particular page for so long. So through biometric information and web analytic information. So there's a lot of interesting places that data and business problems can come together and really help solve big problems and medium sized problems and even small problems. So those are some examples and we could talk more about retail examples. We're doing a really cool a generative AI use case with smart shopping carts in the Middle East where we're looking at understanding the sequence like a sentence is a sequence, which is really generative a sequence of what you know what people might normally buy in what order in a store. And that's on the planogram, right? The layout of the grocery chain. And so if you're online, we know how to promote things into your basket because there are no aisles online. There's just sort of a website, but in a store, you maybe go to the fruits and vegetables section and then you hit the dairy section and then you're in the middle of the grocery chain or the grocery store looking at box goods, right? And then you probably hit the bakery on your way out. So the sequence in which you might buy things is really a sentence structure. We can look at the basket that you have based on the shopping sequence that you've done so far and we can recommend the next word in the sentence to you or the next item that you might wanna buy. So that's a really cool and exciting use case of data and generative massive language models coming together and so that's an exciting area too. So we'll probably stop talking about that because I could tell you many, many more stories, but I think where data comes together and solve super interesting problems is pretty exciting. So exciting. And I don't know that it's one of my favorite things about being involved in data is, we get to work with so many industries and across the globe, it's just relevant to everybody. And so I love that idea of somebody coming into data, mirroring it with a passion and just, it's just a really happy place. And so, and I wanna ask you about this too because it is such a topic, chat GPT. So you say, go check it out. So what is your take on it and the use case for it and where is AI going? I think that we are, again, I'll pull the lens back out and say, I think it's a pretty significant disruptor for us, a massive, massive disruptor for us.  You think you do. You have hypotheses, awesome. You should always have a hypothesis, but oftentimes I'll just say either it's a dead wrong or it massively evolves and you couldn't even recognize it when you look at it from far away a few years later or a decade later. I think funny story. When I was really, I think it was two years out of college. I'm now totally dating myself here, but I left a company and I joined a company that was really focused on the internet, as I said. And my boss at the old company was like, oh, the internet's gonna go the way of the CB radio. It's really just a way to like talk to people and it's really not that, you know, I guess big of a change. So I think that there's, in a similar way, I don't think that several decades ago, we would have imagined what the internet was gonna do. I think generative is gonna be the same, but I do think it's gonna have a substantial shift in how we do our work and how the world works. And with that, I think there's definitely some ethics that we're gonna have to think about. There's some pretty serious trust issues that we're gonna have to think about. And I think it's gonna be up to corporations, like Teradata, to think through and help customers think through the implications of the super exciting technical capability with what you want to do with it. And so we see some of that friction in the market with some thought leaders who have had some pretty significant data points to read out to us. So I think the world is watching. I think we're gonna have to be excited about the technology and the art of the possible and also think about some pretty big macro issues like humanity and what we want from a trust and ethics perspective. What kind of world do we want to live in? And what kind of world do we want to create for others to live in? How important. And I'm so glad to hear that that's at the forefront. Yeah, I agree. So I'd love to, you know, I could probably have that conversation for hours too. That's such a hot topic in the world of data right now. It's about data ethics and making that a priority. Oh, Hillary, this has been such a great conversation. But I would be remiss if I didn't ask, you know, how do people find out about Teradata and the exciting new products that you have? Well, thank you for asking. You can ask chat GPT. You can also go to teradata.com. You can hit me up on LinkedIn. I'm pretty easy to find. I'm Hillary Ashton at LinkedIn and yeah, we're doing some exciting things we are hiring. So we are a profitable growth company. And so for folks out there who might be looking for their next opportunity, you can take a look at our careers website. Oh, very nice. I love that. So we'll get those links from you and we'll put that on the podcast page so that everyone has access to those links. Well, Hillary, thank you so much for this interview. It's been such a great conversation. I really appreciate it. Anything else you want to add before we sign off for the day? No, Shannon, thank you so much. This has been fantastic. I love what you're doing with Dataversity. I think that the opportunities for folks out there, no matter where you are in your career, is stay curious, find something that you're super passionate about and then help others, right? Help others in their journeys as well. And we will take advantage of some of these new exciting areas and we'll also be thoughtful in terms of the implications for them. Thanks. Oh, pardon. Thank you. Well, Hillary, again, thank you so much for taking the time to chat with us today. And for all of our listeners out there, if you'd like to keep up to date on the latest podcasts and in the latest in data management education, go to dataversity.net forward slash subscribe. Until next time. Thank you for listening to Dataversity Talks, a podcast brought to you by Dataversity. Subscribe to our newsletter for podcast updates and information about our free educational webinars at dataversity.net forward slash subscribe.