So we're happy to announce a partnership this morning with the Floyd County Sheriff's Department Sheriff John Hunt several weeks ago Sheriff Hunt reached out to us in a way that is unconventional for EMS and law enforcement to work He had a need to equip his sheriff's cruisers with AEDs and the American Heart Association Told us for years early defibrillations saves lives So we partnered with the sheriff and AMR lifeguard so that each sheriff's cruiser in Floyd County is now going to have an AED. This is a service that's going to really Help the outcome of patients that may Experience a sudden cardiac arrest in Floyd County. Our deputies are all over the county all the time Oftentimes they're there before EMS is so if they encounter a patient that's in cardiac arrest and we can get early Defibrillation we know that the outcomes for those patients They have the opportunity to leave the hospital more and go back home And that's that's what EMS and first responders are all about is changing situations our commitment to Floyd County is Growing as we partner with the sheriff as we partner with our first responders our fire departments And this is an exciting thing that we can do to enhance the lives of all Floyd County citizens The sheriff has worked to already get all of his deputies American Heart certified in the Provider category, which means they've already been trained to use the AEDs They're fully automated AEDs you turn them on you put the patches on the patient It tells you where to put them It tells you to stand clear while it analyzes the rhythm and then it will tell you whether to deliver a shock or not Upon delivering a shock you simply have to mash a button on the AED that delivers the shock and then it will start The process it will tell you how much CPR to do. It's amazing that these things are found in airports They're found in subway stations. They're found in churches But now we're putting them in the back of our our first responders vehicles So they're everywhere that they are when we're not We have several EMTs on our staff as deputy sheriffs so Burt came to the office one day and he were to we he and I were talking and we were just talking about how In today's world Law enforcement and medical is hand-in-hand and it's getting more so with the drug problem If a medical ambulance responds to a call it almost always Requires a law enforcement officer and vice versa if a law enforcement response to a call it always ends up needing medical Some kind of support with the shortage of medical personnel and EMTs It would be great if every one of our cruisers and every one of our deputies were trained and had access The portable defibrillators and men in no time Bert said listen, we're on board. We want to do that that's where we're going to partnership and That's what's happened in days later. He confirmed that he had me an AED for every cruiser that we have on the road To serve Floyd County would have a defibrillator in the trunk So what I'm doing today is my deputies don't even know it This is the first time to be announced as you just watched every deputy that I have who is trained in emergency medical field EMT or paramedic. I will pay them hourly wage will increase Accordingly and any deputy that I have that wants to go through the training as you just heard Bert say well They will offer that training free will also be a part and their pay will be increased Based on that service. I might get weekly calls about how deputy Stepped in and did some kind of act that was outside of law enforcement That helped at a time when somebody needed whether it was medically or whatever and our can so That's a good feeling and to know that we're equipped to better serve our people. That's what this is all about That's why everyone to be sure of is to better serve our people to give them the Support and the service that they require and they need and they ask for and this is one way to do that Considering that we have a certain number of EMTs in the state and a certain number of paramedics in the state and folks Just aren't entering this career field This is an opportunity that to my knowledge hasn't been done anywhere Especially in eastern Kentucky where we partner with our local law enforcement to make sure they have the same training as our folks on the Ambulances it's it's another way for us to grow our resources and to increase our capabilities to all of the citizens we serve


Hello, this is LaptopMedia and today we will show you how to open the Lenovo Yoga Slim 7 Pro X 14 2022. In order to open this notebook, you need to undo 5 Torx head screws. After that, you have to pry the bottom panel with a plastic tool. Please remember, it would be of great help to us if you just hit the like button and subscribe to our channel. That would motivate us to make even more and better videos for you. On the inside, the bottom plate has a dedicated thermal pad for the SSD which is nice to see. To remove the battery, you need to undo 5 Phillips head screws. Then, you just have to unplug the connector from the motherboard. Here, we have a 70Wh battery unit. It lasts for 9 hours and 5 minutes of web browsing, or 10 hours of video playback. The next step is to carefully disentangle the speaker cables from the bottom of the battery housing. For storage, there is 1 M.2 PCIe X4 slot compatible with Gen4 SSDs. The memory here is soldered to the motherboard. The device can be configured with up to 32GB of LPDDR5 RAM. The cooling solution looks good, it has 2 fans, 2 big heat pipes, and a heat spreader over the VRMs.


Minister for Health, Wellness and Elderly Affairs Hon. Moses Jabatist has urged the nation to pay homage and celebrate the contribution of senior citizens to the development of St. Lucia. The call comes as the Ministry commemorated International Day of the Older Persons on the 1st of October. It is a time for us to reflect on the contributions of elderly St. Lucia's to our development. It is also a time for the new Ministry for Health, Wellness and Elderly Affairs to use the occasion as a springboard for a new kind of engagement with our older resourceful people. We salute the contributions they have made to the development of our beloved homeland. It is because of their commitment to building strong families and communities around the island, and in their youth that we can be proud of the resilient people we have become. We cannot forget them in this era. Indeed, we are the generation that will actualize their vision of a St. Lucia which is consistently able to offer its citizens the very best in socio-economic opportunities. The global celebration of older persons is being held under the theme digital equity for all ages. Some of the focus areas under the theme for 2021 are bringing awareness of the importance of digital inclusion of older persons, highlighting policies to leverage digital technologies for full achievement of the sustainable development goals, addressing public and private interests in the areas of availability, connectivity, design, affordability, capacity building, infrastructure and innovation. Exploring the role of policies and legal frameworks to ensure privacy and safety of older persons in the digital world and highlighting the need for a legally binding instrument on the rights of older persons and an intersectional person-centered human rights approach for society for all ages. The Ministry of Health, Wellness and Early Affairs sees the International Day for older persons as the start of our contribution to the decade of healthy aging which commenced this year 2021 and will go until 2030. It gives us an opportunity to bring together our government, international agencies and development partners, academia, professionals, the private sector and the media for 10 years of collaborative and innovative actions to decisively impact and improve the lives of older people, their family and wider communities.


Hi everyone, Joe for jaspyscasebreaks.com. We did it, we knocked out a pack of 2023 Panini Prison Football Hobby Pack Break number five. We've got a few different dice rolls happening here. First of all, we're gonna give away 10 spots within this prison pack break. Second dice roll will be the pack break itself and the third and final dice roll will be the randomizer for those random number block spots for impeccable football figure team two. Very big thanks to this group right here. Nice little rally everybody, appreciate you. So we only sold 22 spots outright. 10 of you, 10 of those 22 spots are gonna get extra spots. Top 10 after five. Good luck, two out of three, five times. One, two, three, four and five. There we go, we got Owen, Owen, Owen, Owen. Jeremy, Owen, Eugene, Eugene, Owen, Allen. So there you go, thanks gang. And for the rest of you, don't worry, you're still involved in the most important thing which is the random number block giveaway but it just so happens this group has slightly better odds on their side. All right, now we've got all 32 spots. Let's do the pack break itself. All 32 teams are in. Let's roll it, randomize it. Five into six, 11 times for names and teams. This is for the pack break. One, two, three, four, five, six, seven, eight, nine, 10, yeah, yeah, Allen with that extra spot and your two spots outright. Yeah, you can technically win all three random number block spots. All right, 11 times for the teams. 11 times that. Hey, listen, we know that there can be some brutal cold streaks as well so I encourage everyone to feel a little greedy in these little breaks here. All right, there's no trade windows but there's the first half of the list and there's the second half of the list and let's print and rip. Now we've been working on these one, there's the impeccable right there, we're almost done with that. So here's 2023 prism football, these are the hobby packs right there and I actually wanna take the autofocus off of this just doesn't do that very well. Stand by, we'll do it live. All right, so from top to bottom, one, two, three, four, five, six, seven, eight. All right, we're gonna go back to ram.org and generate a number between one and eight. So from top to bottom, one through eight and we're gonna do pack three. You can see it right where my fingers point right there. So one, two and three. Here's the final printout, hot off the presses. Good luck. Could be an autograph in here maybe or a low numbered card, we'll see. We've got Silver, Carl Lawson, Josh Allen, Jaguars Edition, Red Wave, that's to 149. Tank Dell and Chris Rodriguez. Junior Tank Dell, I feel like injuries kind of derailed him a little bit but games he was playing, he looked really good.  All right, so no autograph, something too crazy here but three big hits in this rate. Those are the random number block spots. So let's go back to the list. Let's gather everybody's names again. One through 32, new dice, new list. And let's roll it, randomize it. One and a five, six times, top three. After six, fingers crossed, good luck. One, two, three, four, five and sixth and final time. Now, a lot of sad faces here, especially spot four. Four through 32, thank you for getting in. Appreciate you, ultimately sad times. But happy times for the top three. That's gonna be Owen, the odds were with you so glad you were able to get at least a spot. Ryan is in and Owen again, two of the three spots. Congrats, playing the numbers game after six. There you go. I'm Joe, I'll see you in the next video. JaspysCaseRakes.com.


Hey everybody, it's Eric Johnson from Airtate Throws Nation. In today's video, we are gonna discuss the sweep leg for the discus, and we're gonna compare four throwers. We're gonna look at two advanced high school throwers that were doing very similar things. These are athletes who came into train with me and we were noticing certain thought process. We were trying to break things down, looking at their chain reaction and finding what pillar issues needed to be addressed. So here on the left we have Peyton, and on the right we have Wyatt, and the two have very similar PRs both as juniors through about 174 feet. Funnily enough, they were making very similar mistakes with their regard to how they thought about the sweep. So when we take the sweep leg nice and wide and around, you're gonna notice that you're gonna see your throwers that the more the sweep leg is kinda takes this wide path, it's gonna be able to turn and be able to take the throw out into the throw. So now there's a number of other things that are going on right here where we would look at our pillar one and our pillar two, but we're gonna look at how that sets up the sweep leg. Now you're gonna notice historically, Jason, if you see how I didn't draw the lines on Nate real well, but you're gonna see how both of these guys rotate through, Jason tends to come off of this too high and Nate's not coming around here. So where does the sweep leg play into that motion? Now one of the things is you're gonna notice that when you look at Nate, his foot is actually turned out, so he's got the hip in and Jason's a little too far forward and the knee is rolling into the throw and that is going to make him cut around just a little bit. Now both these guys are trying to move from their sweep to their rewrap, but the thing that we wanna pay attention to is where is the path? Is it nice and wide? And do we lead with the inside of the thigh? Do we lead with the foot? Do we think about the leg? Those are all cues that are gonna have an impact in the actual motion of the throw and it's something that varies per the athlete. Payton over here, you're gonna watch how Payton kinda comes in and you're gonna notice this kind of, see how he's kinda coming around, he's trying to wrap and you're gonna notice this little settle where the foot's not rotating but his knee's trying to go, it was kinda coming in and cutting. So he had kind of more of a round cut and then it kind of was doing this kind of a motion that Jason will keep his leg pretty rotational. So you're gonna notice how because of the sweep leg path going out the right way and not prematurely like we call it a hip crank where you just kinda crank the hip in, that's what you don't wanna do, you want the sweep leg to come out. So when we look here, we call that pillar three and you're gonna see Payton here does a real nice job, he gets a good high point, he's got the discus in a good position and you can see right there that he's actually getting that discus back but he's starting to initiate the upper body too much and that, again, is a little bit having to do with that path right here. So look where the foot's facing down and look at Jason, again, foot's facing a little low but it's open a little bit more and now he goes, when Payton goes down he kinda turns around and that's what's causing this little bit of a foot crash because he doesn't keep that rotation moving. Why it's doing something similar, you can see that he's thinking of having the leg almost too straight and then he winds up kind of in a similar thing where the shoulder's getting too active and he's pulling around but he's got a pretty good position here and this is after we had made some corrections but you can see, again, comes off of here really high here and you can see Nate, same thing. Now watch Nate, who's probably got the foot a little flexed and legs a little straight but he's got the foot open. So both your throwers here have the foot a little wider so you're not gonna see the crash like you saw where Payton kinda had the knee collapse and when you see Jason kind of winding up, popping up because it's leading that sweep isn't allowing him to move into his finish the most optimally either.  So here's the point of what we wanna look at when we're looking at the sweep you wanna understand that the throw is in fact our chain reaction we're looking at how do we train the specific movement that's what we break down step by step inside the system, how we're gonna go what are the different cues that may work for different athletes but finding out what the athlete is doing in the thought process so that we can kind of help shape what kind of proper motion sequence they need to think of to create the best and most optimal movement is what you wanna focus on. So your sweep sets up your big finish the big wide rotational path creates a better rotational path in the middle of the circle and that's why the sweep leg position is so critical and if you'd like to learn more about how to break down that sweep leg step by step we'll have trainings and we have everything that we go through our pillar three which is how do we sprint and how do we create that sweep leg we have a lot of things going on on that phase of the throw and we break it down step by step inside the throwing chain reaction system so thanks so much for watching hopefully today's video gives you a little bit of insight on how to kind of think about your sweep see some different examples and notice how those small details make a huge difference so thanks so much for watching be sure to comment, like, give us a thumbs up and we will hopefully see you on the next video.


Another pack opening where we hope we can pull something big. Please EA. Yo, what's going on Leaf Nation, it's Leaf for back again and welcome back to the channel. Today we are back with another pack opening. We do have arrival rewards and YouTube in the week just dropped the time I'm recording it. It's pretty good. So looking here, we got a 90 overall Leon Drys hit on 88 Patrick Kane, 85 JT Miller, Patrice Bergeron, Nick Suzuki, Mitchell Marner, Marcia Salt, Getzlaff and Troy Terry. On D we got Dumba, Yossi, Bohm, Byram and Mario Ferraro and then in net we have an 88 overall John Gibson.  We also got some new prime times out, an 87 overall David Pasternak, 85 Theodore, 85 Burns, 84 Patterson, 83 Bushnavich, 83 Carter, some pretty good cards and then we do have these plays of the year, McDavid, Demko and Marco Mueller and then we got these stars of the month, that's what those cards are and then we have the fantasy set that is still out right now. So we got five or we got four in open packs, we got 100 champs points, I don't know why but okay we got 100 champs points, we got four on open packs here, two of them being two NHL players packs and two of them being Jumbo Elite packs. So we got an NHL players pack to start off with 10 items, all the NHL players with at least four 80 plus overalls. Let's see that purple, let me turn the slides so you guys can see me a little bit better. There we go. Give me some good 80 plus overalls here. Here we go. Nishu skin isn't one that's great, Capo Kaquinen, okay, Ian Cole, Sam Reinhart, Kale Flurry, Mikey Anderson, Lauson Kroos, Nate Schmidt and Anton Forsberg, first pack, not the greatest. Onto the second one here, I need something good. I wanted to say that my pack looks bad but I'm going to show you a picture on the screen right now. Last night I decided to do an 85 plus out of the season over awards and I pulled a Connor McDavid, 85 plus, I pulled an 89 overall so it's some pretty good luck. I have a feeling I'm not going to have good luck for a while here but you never know. We start off with the D'Amishio Orlovan and at least legend Andreas Jonson there. We got an Austin Wagner, come on, something big, Dweller and Mia, not what I'm thinking. Taylor Hall is not too bad, I already have them. If my other one's tradable that might be some coin there, P.K. Subban, Marcus Johansson, Braden Holpe and a Derek Grant but hey an 83 overall Taylor Hall, not too shabby. Now we move on to the Jumbo Leaf Packs, we got 20 items with at least 11 80 plus overall players. 11 80 plus overall players. It's a lot of 80 plus overall players, we're hoping that they're good 80 pluses. We start with an 83 overall Alex the Brinkat, not too bad. New Jersey Devils Jersey, Red Wing Logo, Hurricanes Jersey, alright, where are my players? 80 overall Martin Furke, okay, interesting, Jordan Eberle, Ricard Raquel, come on, let me see some purple in this pack baby or an X factor or a power up icon. Any of those would be great, come on. These base 80 overalls aren't going to do in here, Matthew Shane, he has an 86 master set fantasy card out right now that we could have pulled, that one hurts a little bit. Ivan Proverov, okay, he has a 84 prime time out right now I want to say, so that's a little tough and a max patch ready. So what was our highest overall, I think an 83, let's top that next pack please and thank you. Alright, last pack of the pack opening, come on, something big here. ZA, I beg, celebration, purple, base Austin Matthews, we already have Austin Matthews. I might have to go derank them and get my tradable Matthews out of there and get some coinage, but we pull a purple, my favorite player, Austin Matthews, it's a purple, we'll take that, let's go Austin, welcome to the team buddy, you're already here actually, so welcome back I guess, 87 overall Austin Matthews, that's good, Shay Theodore, come on Tyler Myers, can we get one more good pull, that'd be great, one more would be absolutely amazing here, Saber's Jersey, Travis Dermott, Kasperi Kaepernan, Mario Ferraro, it's a new team of the week, interesting looking card there, another Matthew Shane, game, give me his master set player dude, god that one hurts again and that is it for the pack, Jeff Carded and Alfon, but hey, we will take an 87 overall Austin Matthews, that is absolutely huge. Anyways guys, it's a little bit of a short video, but hey, we pulled an 87 overall Austin Matthews, we love our purple pulls here, we will definitely take that, but guys like I said, or I haven't said it yet, that is it for today's video, if you guys did enjoy it be sure to drop a like on it, if you're new around here, make sure to hit the subscribe button down below, yeah, that's it for today's video, that's all I can say, we pull Austin Matthews, you'll love to see it, but that is it for today guys, thank you guys very much for watching, and I'll talk to you guys later, peace.


I'll be honest folks. I wasn't that excited about Joe Biden's campaign, but this really does change everything This is from the verge. Biden campaign launches official Animal Crossing New Horizons yard signs It's the campaign's latest foray into online organizing. Well, sir now I am enthusiastic about Joe Biden's campaign Listen as someone who put more than 200 hours into Animal Crossing New Horizons Let me just say that um If I was visiting somebody's island and I saw Joe Biden yard sign I'd think What a clown? How effective is this like if you create like maga hats for your characters to wear or some sort of like flag that says Joe Biden like Why waste your time. This is a game. You're supposed to like try to escape reality So like this this as an Animal Crossing player myself Wouldn't necessarily encourage me to be more enthusiastic about any political campaign because when I'm in Animal Crossing I am you know living on my own island in my own world where all of the bullshit That you know, I don't want to be reminded of kind of just like fades into the background But you know what makes this story particularly bad is that they're actually thinking that this is going to be a Real strategy when I saw this and I saw the picture I thought okay, you know, that's fine Like this isn't as bad as Hillary's Pokemon go to the polls moment because they're just kind of doing this to be like Tongue-in-cheek, but they literally according to the campaign think this is going to be conducive to like spreading the message I don't know why they believe that but nonetheless Here's what McKenna Kelly of the Verge writes starting today September 1st Animal Crossing New Horizons players will be able to deck out their island homes with official Joe Biden yard signs as part of The campaign's broader initiative to organize voters online this fall since the start of the coronavirus outbreak in the US earlier this year Campaigns like Biden's have been forced to entirely rethink how they organize voters instead of in-person rallies Biden's team has opted for live-streamed events and fundraisers along with socially distanced productions and interviews the entire Democratic National Convention was held virtually earlier this month with most guests streaming in over video software like zoom to deliver speeches The Biden Harris campaign released four sign designs for players to download Featuring the official Biden Harris logo team Joe logo the Joe pride logo and an image of Aviator sunglasses shaded in red white and blue Players will be able to access the designs in game by scanning the design QR codes through the Nintendo switch online app Millions of people have picked up Animal Crossing New Horizons since its initial release in March And the Biden campaign is hoping to engage that large base with their new merch Animal Crossing is a dynamic diverse and Powerful platform that brings communities together from across the world It is an exciting new opportunity for our campaign to engage and connect Biden Harris supporters as they build and decorate their islands Christian Tom director of digital partnerships for the Biden campaign said in a statement to the Verge as we enter the final campaign Stretch towards November. This is one way We are finding new creative and innovative ways to meet voters where they are and bring our Supporters together as part of the Biden Harris campaign's plans to get the signs in front of voters The team is seeding the designs with a handful of gaming influencers who will be sharing their gameplay with the merch throughout the day on Tuesday This is just the start of how we plan to engage players ahead of November as we're already looking forward to rolling on more digital swag voter education tools and Organizing efforts on Animal Crossing and other platforms Tom said dude. Just give us Medicare for all You don't have to do all this just give us health care Give us something talk about the policies that you have that are good.  This to produce if somebody sees a Biden yard sign in the island of the influencer that you're watching Is that gonna make them more inclined to like get out and vote for Joe Biden? Like what are you expecting? They call this a communication tool that's effective like really it's Animal Crossing You can have eight players on an island at once So I mean I guess that if someone is streaming their gameplay and a lot of people see the Joe Biden sign You know, that's one way to get the message out. But how is that going to translate into votes? How many people will actually be encouraged to get out and vote because of this the answer is zero Zero this isn't gonna change anything and you know, you can make the case that this it's harmless It's not gonna hurt But I think it could have the potential to hurt Biden more than anything because it comes off as disingenuous pandering We get it. They want to appeal to young voters, you know enthusiasm among the youth is low But you do that with policy not by pandering to them Hillary Clinton should have taught us that young voters respond to policy not pandering So when you hello fellow kids as to death, what do you expect that to produce? It's not gonna translate into votes So it's just like people are going to see That he's more out of touch by doing this whoever is getting paid to like orchestrate this strategy It's embarrassing like if something like this were to emerge organically That would be a story that I think wouldn't be harmful But the fact that they're like trying to drum up support in animal crossing as if that's going to make young people excited It's just it's insulting. It's embarrassing. It comes off as disingenuous Now I will say that if they created fall guys costumes and we had a Joe Kamala costume of some sort. I don't know what that would look like in fall guys if I saw that I Would be excited To run up to that person and push them off of the platform that they're standing on It just I Don't I don't know what they're thinking. I don't know what they're thinking if Bernie tried to do this I would make fun of him. We just want healthcare Just give us healthcare


Welcome back everybody, Jeff Frick here with the Q. We are live in San Francisco at Pure48 at the GE Minds and Machines Conference, about 3,000 people talking about the industrial internet of things. This is where the digital world meets the physical world where IT meets OT, and we're really excited to be here. Our next guest, Dimitri Volkman, he's a digital twin thought leader and evangelist for G-Digital, welcome. Thank you, how are you? Great, so first off, your impressions of this event? Fantastic, what do you think? It's very amazing because it's a sort of industrial type of warehouse space, and we built the whole conference into it, so it's pretty cool. Exactly, so you're all about the digital twin. So for people new to the concept of a digital twin, just give them kind of the basic one-on-one. So the idea is that if you look at the way we've digitized the world in the past decades, it was all about optimizing back office, and while we do that, we actually dematerialize things. We purchase orders that we had in paper, disappeared, money order disappeared. Now when it comes to things on machines, we still want to digitalize them, but they don't disappear. So the digital twin is really about creating a live digital representation of the machines that is paired to that machine, but constantly learns from its operation. So it's a sort of a new software construct to give you the ability to interact with the machines. So it's interesting, we talked a little bit off camera before we started, and he said this really kind of was born from early NASA days where when you shot the rocket into space, if you wanted to trial something, you probably had a physical twin as opposed to a digital twin back in the day, but that's really kind of the concept to give you another thing to play with, to test, to trial, and see what's going on. But now it's really a digital representation. Yeah, the original idea was we to allow you to model something and see how it's going, so having its structure, then its behavior when it operates, and see in the context what might happen to it. So that was the initial idea. Now it's very important to understand that we're not modeling those machines for the sake of modeling. We're modeling those machines because if you look at the business of industrial, we come with a commercial idea. I want to create a better jet engine for planes. Then we design it, we build it, we run it, and we service it. Now all along that cycle with the digital twin, we bundle data and intelligence so we can give you information about the past, the present, and the future operation of that asset. But we do that in order for you to make a business out of it, which is get some outcomes out of operation. So we look at the outcomes you want out of operation and we bundle the data intelligence about past, present, and future to help you optimize that. So that fundamentally gives you early warnings, predictions, and optimizations. And what I think is interesting about the concept is you kind of have both ends of the spectrum. On one hand, you physically twin a machine. It's not the model ABC. It's the particular serial number unit. At the other end of the spectrum though, you have the ability to aggregate from multiple serial numbers of that unit and to come up with data that's no longer just kind of an aggregate best practice, but it's actually data based on the summary of real machines. And it's actually not only data, but you touch on two very important points. The digital twin gives you the ability to zoom into the detail of a specific asset and have a very high fidelity digital representation. And it's that specific asset. Now that digital twin will also learn from the others. So it's the learning process. And again, that's this interactive, constantly learning concept for which you need a different software representation. It's not just a transaction in database. It's something that continues to operate. And as we gather data, we can create model on this data, get more intelligence and more and more insights, if you want. So on the execution of that, if it's a digital twin for a particular type of a jet engine, say, is that something that GE does? You have people responsible for monitoring the model, monitoring the reality, changing the models. And how does the actual learning and then the learning go back to the market in that, in that instance? Yeah, well, it always starts with the data about the assets. So have you seen how we have assets, your machine that have models and sensors model. So we capture the data. And we also, because we've been servicing systems for a long time, we have a lot of historical data, or so-called gold data as well. Then we have our research on material science on physics models and analytics. So we combine all that. So there's an interesting separation of role if you want in the twin. You have what we call the digital twin builders. And those guys are actually more building classes. So there will be a digital twin class for a specific asset, a work engine, like the one we have here, a G90 engine. So we assemble all the data, the historical, the knowledge, the intelligence, the models. And then they will publish that model once it's been validated. And then you have people that consume that. So the application, the developers. Because as a developer, if I want to do a nice app to optimize the usage of my work engine in my business, I don't need to be an expert in spark plugs or material science or transformation. So we separate the builders that are the experts and then with the digital twin runs on the platform, they expose their value to a much broader audience. Right. And as you said, and you can break it down. We talked about G is powering this whole conference with a big generator outside. That's got a digital twin with a little demonstration inside. And as you said before, you can monitor the system or you can monitor the part. So you can kind of change your point of view, your focus, the depth of field, if you will. Exactly. Just sort of zoom in, zoom out and you are at a very high level. It's the part, the asset or the product or the system itself. So and to the point of the Waukesha engine here, what is interesting is, so we're showing a digital twin of the overall engine itself. So it gives you things about power generating, percentage of load, reliability in the past months, projection of what's going to happen in the next 60 days. Now in that engine, the spark plugs are very important elements, because if you have a spark plug that doesn't work, the engine will usually stop functioning well. So for the spark plug itself, we have digital twins for each spark plug. Now what that gives us is, it's actually like your car engine, do you do your maintenance at 60,000 miles, they're probably going to change your four, your six spark plug. Now on the engine on that side, it's much more expensive because the spark plug at $700. So the digital twin gives you a life model of every specific spark plug. So the way we do that is we measure the voltage that it requires to light the spark plug, and over the time this voltage change, we compare that with historical data, we use models, and we give you a prediction of each individual spark plug. So we tell you spark plug number six, you're going to stop functioning in two weeks, do something, but the others are all fine. That's interesting, and the piece that I don't think anyone else has talked about since we've been on the show is how outside developers can build applications that take advantage of the digital twin to provide new type of algorithms to actually run these machines. Yeah, exactly. And that's the, this is coherent with our approach to the digitalization of the industrial world. You know, we started for G for G, we do it for our own.  So we're in the process of releasing a software developer toolkit if you want so that anybody can build digital twin on our platform, and they don't necessarily need to be GE assets. We actually already have, it's not completely exposed to developers right now, but in our APM solution, a number of the assets that we manage use digital twin technologies and they are not necessarily GE assets. Right, and correct me if I'm wrong, because that's really the genesis of GE digital as an entity, because originally Bill and the team were building the software links in between the various divisions so that the gear could talk, and then that evolved into actually building the software for those units, and now it's evolved into the Pridix cloud, not only for the GE assets, but other people's assets as well as other people's applications. Exactly, so the history is we started as a center of excellence, and we started with the big blocks, then we realized that they were before you for our platform, so we did the platform for us, and now we brought the platform to the market, we launched it in February, and we're extending now to the whole world, so, but we keep on thinking for us, for our customers, for the world. So, now that people have the ability to operate and experiment and trial things with the digital twin, how have you seen that change behavior? Because before I'm sure it was kind of set it and forget it, wait for the automatic manual to say maintenance time and then you win and did it. Now that I have the capability to look in, to compare against models, to compare operating thresholds based on optimizing for longevity or output or whatever's going on, how has that actually changed the way that people operate these machines? Yeah, it's usually a progression, so to your point, the first thing you do with the technology of data analytics is you've got your equipment health, so is it running well now? Is it running within parameters? Then you start putting more sophisticated analytics, and you do predictions, which help you with your maintenance. Now that you have your maintenance, you can start saying, how does that impact my all operations? So you can start your combining digital twins. So let me give you an example in aviation. So we have very sophisticated model for engine blades in the turbine. They use a specific thermal coating to make the blade live longer. So coating is like you're painting the blade. Now we realize that when you operate those engines in the Middle East, where there is sand and hot air, the coating wears much more quickly than when you operate them in the North Pacific West, where the air is cold and moist. So the first thing was with those models, we can detect failures earlier. Now that we know that it actually has an impact on the route of our plane, because one of our planes, we know that the engine needs to be replaced. We're going to change this route, so we fly it into a less harsh environment. To extend the window. And maybe closer to a maintenance center. So the knowledge about how the engine wears in its context, allows us to optimize the route in which we use the engine. So again, we start by looking at one specific object, do some predictions, then do some optimization of the whole operation. And the beauty about the twin is, and especially this is what I evangelize most about the platform. I tell people, imagine, you have that digital representation, you have all the data, all the intelligence, past, present, future. Find new models. I'm giving you the basic equipment health. I'm obviously giving you the ability to maintenance. But now you have the knowledge. Re-invent your business. So it's a very enabling technology approach. And in the example of that aviation example, who's the one who says, hey, maybe we should route the plane ABC and let it run through the Pacific Northwest for a while because of this reason. Who are the people that are now in a position to act on that data? Well, we see the, and we've done that to ourselves again, we've seen the emergence role of what we call the chief digital officer. So these are more people that come from the IT world that understand the possibilities of the technology but also very close to the business. So these are the leaders that we sit with the operation manager and say, hey, where are we losing money? Oh, we're losing money where we have to service an engine in a place where the party's not there. And by the way, we service it too late because we didn't know it would work that fast. It gets a, hey, I have a solution for that because now I have the technology to again have early warning predictions and we can impact our optimization of operations for that. So we see a lot of the IT role evolving from just managing the basic system to being the one that understand the possibilities and yet understand their business and engage that discussion with the business. Hey, we can change now. We can do this, we can do that. It's fascinating to me that a big part of the IT discussion is using cloud and other technologies to sweep away undifferentiated heavy lifting and make everybody concentrate on higher value activities. This is the same thing that's happening in the physical world where that maintenance guide now is no longer just worried about changing the spark plugs out on time but now starting to think more strategically about how to better deploy those assets, change the timing, you know, get off the straight up manual. So where does it go?  What do you see kind of in the short term and how far can we go with this concept? Yeah, I think today there are still a lot of use case that are really geared towards the first steps. So equipment have, you know, maintenance optimization, maintenance, reliability management, first level of optimization of my operation. And the reason why is that to some extent a lot of those, because the digital twin concept existed but there were sort of imprisoned in the apps. By putting them into the platform, we still serve the app but we now give the chief digital officer the ability to say, oh, I have all this information now. I can invent new things. So again, it's kind of the limit. It's not, oh, I have to use that app. I not only can use that app, but I have the technology underlying where I can go directly talk to the digital twin. We've seen that in the show this morning and invent new things. So we are at the very, very beginning of the adoption of digital twins and most of the people have only used them in application. So we are in the process of educating them on how they can fully benefit from it. It's like in the beginning of databases. You know, when we switch transactional system from a TV monitors to SQL, it was like, oh, it's the same thing. And then people say, oh, I can do queries. Oh, I can do data warehouse. Oh, I can do analytics. So we are in that transition mode, if you want now. Exciting times. The last thing I would add is we've talked a lot about capturing data and having insights. But the next step is how do you act? So using the digital twin to send commands to the asset itself. So you're going to see more and more of those feedback loop now, where we get data, we get inside, a human will make the final decision, but then the iteration of the operation will be piloted by the twin as well. Because the twin works two way. It gives us data, but you can also receive information and act on the machine. So that's the next big way. And the twin can both monitor and do predictive and do scenario analysis at the same time. That's great. All right, Dimitri, thanks for stopping by. Exciting times. A lot of efficiencies to be rung out of the OT, like we've done in the IET and congrats for being right at the head end of it. Thank you, it was great. Absolutely, Dimitri Volkman. I'm Jeff Frick, you're watching theCUBE. We're at the G mines and machines in San Francisco. We'll be right back after this short break. Thanks for watching.


Hello, and welcome to the session in which I will discuss CPA exam changes that's taking place for the auditing and attestation section for the exam starting July 1st, 2021. I already covered FAR in a separate recording and I covered RAG, and what you should do if you're looking for FAR or RAG, please look in the description of this video and you will find them. So this is for other things. So I broke the changes for each topic separately. So this way you will focus on one exam at a time. What's relevant for you? Now, before I start, if you are a CPA candidate and most likely you are a CPA candidate, if you're looking at this recording, please check out my website, farhatlectures.com. You will find additional resources to study for your CPA exam. No, I don't replace your CPA review course. If you have a CPA review course, by all means, keep it. I don't replace it. I would love if I can replace it. I can't replace it for you. I cannot replace your Becker, Roger, Glyme, Wiley, or any other course. But here's what I can offer you. I can be a useful addition, an excellent supplement that will add 10 to 15 points to your CPA exam score. Here's my offer to you. Are you willing to risk $30 to try to find out whether my system works with you or not? You're risking $30. That's your loss. Your potential gain is pass in the exam. And I organize my material to match that of your review course. So it's easy for you to follow. Also, you can check out my website for additional resources like multiple choice through false exercises. But if not for anything, to check out how well is your university doing on the CPA exam to find out how good is your accounting program. I do have resources for other accounting courses as well. Please connect with me on LinkedIn and only then you can see actual students recommendation who used my system and passed the exam. Please like this recording, share it, connect with me on Instagram and Facebook. So first, we're going to be looking at the downgraded item from analysis to application. Simply put, there are certain topics that used to be tested on an analysis basis or analysis skill level. Now it's downgraded to application. As a CPA candidate, that's better for you. It means you don't have to know the information in the tails as much in the tails as possible. And if they gave you a simulation, it's relatively easier than if it's on the analysis level. And those topics are developing a detailed engagement plan. Now many students were asking me, what do you mean by downgraded? So I'm going to show you what do I mean by downgraded specifically. So this is the developing a detailed engagement plan under the 2019 blueprint, which is the previous blueprint and it looks something like this. This is what you needed to know. Maybe you can read it, maybe not, but you could download the blueprint and read them. You know, prepare a detailed engagement plan for an audit or non audit engagement. Again, prepare a detailed engagement plan for an engagement starting with the prior year engagement. So notice they kind of change it a little bit. Prepare supporting planning related material, prepare planning related material, same thing. So notice here, now what happened is this section here developing or modify the detailed engagement, you don't have to worry about this anymore. It's gone. So this is what I mean. It was downgraded from analysis to application. So you don't have to worry about this analysis part. Now the developing a detailed plan, it's only under application, which is good for you as a candidate. Now, other topics like related parties, same thing, it was downgraded from analysis to application. Now, each topic would have maybe several tasks, maybe some tasks were were downgraded, others are not. So you could look at the blueprint, but generally speaking, now they're more likely to give you application type of questions about related parties or the majority of them will be application related as well as litigation. Now, let's take a look at the topics that were downgraded from application to remembering and understanding. And this is really what you want, right? Remembering and understanding, going concern. Remember, you have used to have to worry about the going concern for foreign. We talked about this. You don't have to worry about far anymore. Preconditioned for an engagement. Again, it's remembering and understanding, subsequently discovered facts, routine representation, preparation of compliance report. I would say these all these topics, who deals with all these topics partners and most likely that's why they downgraded these topics. But again, that's a guess from my, from my end, because there are many topics that also partners deal with, but you still have to know content to be removed, not much for BEC. Actually, if anything, we're going to have, we're going to be expanding on auditing, not BEC on auditing. And here are the three topics that we're going to be dealing with when it comes to auditing, three topics. Business processes and IT system is one, data analytics and SOC report. So I'm going to show you these topics that basically these are the new. This is the first one. This is new. And this is why everyone's saying, go ahead, take the exam before these topics are tested on the exam. Business processes and IT specifically under area to assessing risk and developing a planned response. Basically, this section here to be more specific. So it's mostly application. Okay, it's not analysis, but it's application. Basically, we're dealing with IT, IT technology system, IT systems, IT applications so perform a walkthrough of significant business processes and document. We kind of know this a little bit from auditing the flow of relevant transaction and data from initiation through financial statement and reporting disclosure. Kind of we used to do this, but now they want it from an IT perspective, obtaining an understanding of the IT system that are directly or indirectly the source of the financial transaction. Again, notice here, they're focusing on IT, perform tests of the design of implementation of relevant internal control, application and manual, which is IT application and manual. So this is what they are focusing on the new thing. The second topic is data analytics. Again, we're going to see this topic again covered in BEC in a different format. Audit data analytics. This is basically you have to know this, verify the accuracy and completeness of the data, determine the attribute structure and sources of data needed, perform procedures and output from the audit data analytics. And this is what I'm going to be focusing on in the spring of 2021 is to add more about data analytics or the data analytics. So follow my channel, subscribe to my website and I should be covering this topic by the time you get to the exam and most colleges are teaching data analytics that's integrated under auditing course as well. So I will be doing that as well. The third part that's being added is SAC report one and SAC report two. Again, the SAC report also, you will see it again in BEC in the IT section and the enterprise risk management section. You will see them again, but this is the SAC report. Actually, at this point, I do have SAC in my product. So I do cover SAC because I do cover it when I teach my auditing course. So you have to understand the difference between SAC one and SAC two. You have to know the impact of testing the control because many companies are using the third parties nowadays. So that's why you have to understand understand SAC one and SAC two understand the difference. Notice mostly application, but remembering and understanding no analysis and no evaluation, which is good. Use SAC one type two report because we have SAC one type two and SAC one type one. We have SAC type two type one and SAC type two type two. So you just have to know the difference between them. Notice SAC type two. They're focusing on SAC type two, it seems. SAC one type two, SAC one type two. Understand the limitation of the internal control and potential impact on the risk of material misstatement. So this is the new material that you have to be familiar with. Again, three topics that are added and I just show them to you. The business processes and IT system, data analytics and SAC report one and two. Should you sweat about those and try to take audit before July 2021?  I don't think so, but if you want to wait, if you want to take it before July 20, July 20, July 1st, 2021, that's fine. But don't like, you know, if you're already if you're already studying for far, keep going. Otherwise, three topics, come on, it can be that bad. Can't you learn three additional topics? Okay. At the end of this recording, I'm going to remind you to visit my website, but let me let me clarify. I'm not saying you should not take audit if you can before July 1st, 2021, but you should not sweat about it and just like, Oh my God, this is a big deal. All what I'm saying is don't worry about it between your CPA review course and my website. You should be fine. You should be fine. So don't don't stress, but if you want to take it, take it. So before I end once again, visit my website. If not for anything to check out, how well is your university doing for the CPA exam?  You can do this into the next session. I would look at the fourth part, which is BEC and this way I will give you the update for the 2021 CPA exam changes. Subscribe and stay motivated.


Live from San Francisco, it's theCUBE. Covering IBM Think 2019, brought to you by IBM. Welcome back to Moscone, everybody. You're watching theCUBE, the leader in live tech coverage. It's day three of our coverage of IBM Think at the newly renovated Moscone Center. I'm here with John Furrier. I'm Dave Vellante. Interpol Bindari is here. He's the global chief data officer at IBM, longtime CUBE alum. Interpol, great to see you again. It's my pleasure. We met several years ago. You had just started as the chief data officer. You've now built out a global team. We've seen the blueprint that you've created. Customers have begun to adopt that. We've talked to many of them. But give us the update. What's happening here at Think? You've given some talks, and what's new? So, I think you've covered the main points well. It's been about three years. And when I came on board, one of the promises I actually made to our clients was that we were going to make IBM itself into an AI enterprise, and then use those lessons to help our clients make their enterprises, AI enterprises as well. Because a lot of our clients look very much like us. They're large, complicated organizations. So that's the journey we've been on. And we've been progressing on that very well. We created the data and AI backbone for the company. Now we've got various IBM processes that are making use of that backbone to introduce an AI capability, Watson, into their processes. And these range from transactional processes like accounts receivable, all the way to analytical processes like those done by our chief analytics office. The entire platform and backbone is essentially the one that we've built. When we first met, you laid out a prescription of the things that a chief data officer should be focused on. The first thing you said is, you've got to understand the relationship between data and monetization. And a lot of people confused in the early days of big data, oh, I got to monetize my data, I have to package it and sell it. And that's not what you meant. And it could be as simple as, how can you use data to save money? So, how has that gone, that message? How's it gone internally and both externally? Yeah, I think data monetization is all about creating value for the company using data. And there's many paths to it. It depends on the business strategy that the company is following because you want to enable that. That's one way to make money. If they're able to better implement their business strategy because of certain data, then that's going to monetize. And monetize far more rapidly than anything you could package and sell. The other possibility is you could take an operation that's critical to the company and make it a lot more efficient and accurate. That also could release billions of dollars in value. And so it depends on the company itself. So for the case of IBM, another path through monetization is also enabling and helping our product partners, the products that we're using in our data and AI backbone, the IBM products, and we are running through all that so that they can then change their roadmaps based on the actual scaled use cases that we've put together. So there are many different paths to monetization within the company. It depends on the specific case, but eventually it's about tying back to the business strategy and figuring out along the lines of whether you're creating new products, enabling additional revenue or efficiencies or accuracy. It comes back to those kinds of outcomes. So essentially the data value, it's like beauty is in the eye of the beholder. It's contextual to the business. There's no one general purpose data implementation, right? I mean, that's what you're getting at a year. Yes, I mean, it's not so much the implementation, it's the actual path that you take forward. It's got to address certain business outcomes, right? So the generalization is at that level, but one company might pick a very different outcome from another company. And so as a result, what you build, even though the lower levels of the stack might be the same, what you end up delivering and so forth will look very different. Indra, I'll talk about your journey within IBM. I like the narrative of let's do it for ourselves and then share that learnings with the customers. What outcomes were you trying to do internally at IBM to get right and then to bring to the customers? What were those key learnings? What did you learn? What was the outcome? Yeah, no, absolutely. So there are many different outcomes because each process has its own outcome, right? Accounts receivable, they would have like day sales outstanding, that would be a procurement, it would be the time to finish a deal. But eventually you can generalize it by saying it's all around cycle time, end to end cycle time for a process. You want to reduce that and reduce that dramatically using artificial intelligence. So that's been our main outcome that I've been focused on across all our different processes, including my own processes. Now, I think I've mentioned this in the past as well, that eventually it's not so much about technology as it is about other factors that also accompany technology, right? The data itself, how do you prepare it? Make sure that it's ready. But also the cultural aspects of the change, the organizational considerations, the business process changes, people's jobs are changing. How do you make sure that they're trained to do it the new way? How do you tap into the legacy stuff that you've got locked into legacy and then unlock that and make that into AI processes? So there's a lot of work like that that has to go across the lines of not just technology but data, organizational considerations, business process change, and that's the blueprint that Dave was talking about. Jenny made a big deal in her talk yesterday about trust, the stewards of Trump trust, your data. What does that mean specifically from a data standpoint? Does that mean you're not going to appropriate our data to serve ads? Does that mean you're going to secure the data with technology? What does it mean from your perspective? It's again, actually trust cuts all across the stack. So with regard to data and clients, from our standpoint, what that means is the client's data is their data. It's going to remain their data. We will not make use of that data outside of what the client actually authorizes us to do. But not only that, we go even further and we say insights drawn from that data also belong to the client. And the reason we're able to do that is because our business model doesn't depend on the network effect as such, right? In terms of capturing data and then amassing a lot of it, learning from it. You know, getting data from A, but benefiting ourselves and C, right? That's not our model because we're in just in a different world. Our interests are aligned with the client. So it's all about making sure that their data stays their data and the insights also stay their insights. We have no interest in actually capitalizing or monetizing the intellectual capital that our AI systems capture when working with the clients. That's why it's got to remain there. Are those discussions with clients evolving to the point where your commercial terms are evolving? I mean, are they sort of pushing you for different or extended commercial terms that actually explicitly state that and are you involved in that? We, you know, those terms, we just made them available. So clients can pick up those terms if you didn't have to be pushed there, we already knew that this is, you know, because of the nature of AI. And when we started working this within IBM, we realized that AI would become central to every process. Which means that it's capturing not only data, but also the intellectual capital of the company. And then if we put ourselves in the shoes of anybody else, any client who's looking at that, they would want, they'd be very sensitive to how you go about doing that. So we put those terms in right off the bat. So, you know, the clients have, they've got offerings where they can essentially choose. Yeah, this is going to stay, or you can't use it for anything else. Just use it for precisely what we want you to do. That's just part of our standard approach now. I'll talk about this chapter two of the cloud. Jeannie mentioned that. Kind of a nice reference. It's an attention grabber. Okay, chapter two next level cloud. But I want to get your perspective on next level data. What are you seeing the digital 2.0 or the digital generation, the digitization economy happening to processes? You mentioned processes are key. How are processes changing with cloud, with data, with mobile, with these online digital assets and processes? What's changed to these processes that you see generally speaking or specifically? So, one aspect is, and this is why we refer to it as cognitive or augmented intelligence, processes are changing so that the decision makers have access to an intelligent system that helps them do a better job with the decision. Be more accurate, be quicker, et cetera, et cetera. Right? Harness the whole data explosion to our advantage so that you can actually make a better decision. So that's one aspect of the process changes. I think the other aspect is the average enterprise makes use of nine different clouds. So, when we look at that and we begin to understand the complexity that underlies that for an enterprise, right? Being able to manage across these different clouds and when you couple that also with on-prem systems, private clouds, because clients say, well, for our data we really don't want it on a public cloud, we want to do it privately. To manage across all those environments is very tough. It's very difficult. And so, from a data standpoint, you have that same complexity extending into the data space. So now I worry about things like, well, we've got to make sure that if we ingest data once somewhere, we should be able to use it anywhere in an appropriate way, right? In a trusted, governed, secured way. How do you do that? That's an example of the complexities that you have to solve as you go through this new environment. That's the two-dollar. No one you ingested it just to begin with is a good start, right? Yes, but being able to use it everywhere in a way that's secure, I mean, you know, because you're opening up a lot of flexibility, but then you also have to make sure that this is a trustworthy process. So the processes are increasing in terms of capability, decision-making, and efficiency. So you now have more process potential. That's dynamic. Yeah. It's not just that, you know, blocking and tackling straight process. It's baked. We don't touch it. It's getting more dynamic. Yeah, these are, this is new ground, right? Nobody, I mean, that's why I think Jenny drew the distinction between one-dollar and two-dollar. One-dollar was essentially think of it as single-client. Two-dollar is multi-client.  Right, again, appropriately. That's the key part of this, right? In a secure, trusted manner. You can't take something that's running on one side very securely and then you start running it somewhere else and it's no longer secure, right? Then it doesn't work. So, independent of the complexities of hybrid cloud, which you just sort of articulated, what are some of the challenges that you see with regard to people getting their data house in order? I mean, we definitely still see complacency. People say, ah, you know, we're a bank, we're making a lot of money, we don't really have to transform, or, you know, by the time we have to do it, I'll be retired. There seems to be still a sense of, lack of sense of urgency for some customers. What are some of the, is that a challenge, and what are some of the other challenges that you see, even maybe for those guys who want to lean in? I think, at least what I've been seeing over the last three years, that the awareness around AI has increased tremendously. And even within the last three years, you know, the clients now generally don't question that they need to go down that route. They feel the need to go down that route. They begin, they understand that there's a competitive advantage here and there's a danger of being left behind. But their biggest question now is where do I stop? How do I do this in a way that makes me comfortable? Right? So that I don't really end up losing the house while I try to go down that path. And I think that's the central need, that's the central challenge that they face, and that's exactly what we try to do. So they don't want to over rotate to something that's not going to give them a business return. So what do you tell them in that case? Focus on something that's going to drop, you know, save some money to the bottom line, or let's try a little RPA project, or what do you start? You know, what we found is from an AI standpoint, you can do point projects, but you'll only get incremental value by doing those. What you really need to do is to make the whole enterprise, an AI enterprise, so that every process, even, you know, the most, what seemed like the most mundane decisions. I don't know, I mean, I might have told you the story before, Dave, but there's somebody in my organization who labels whether the client we're working with is a government-owned entity or not. That's, yes, and if you think about it, that's, you know, you can think of just this classification task based on what you know, but if you're able to harness the latest news releases, the latest PR releases that are coming out, you're going to make a much better decision, so it becomes an AI task. And think of all the tens of thousands of such decisions that are being made within an enterprise, and you make them more effective through AI. That's the AI enterprise. That's the promise. That's where you're going to get not just incremental change, but monumental change. It'll just completely change the company. Right, so you're saying fundamentally you've got to change the company, and so now there's a cultural aspect of that, which is obviously another challenge. People don't have the skill sets, they don't have the mindset. How are you seeing customers deal with that, and how are you advising them to deal with that? Yeah, so we've been eating our own cooking on this, so we've been through this. We know where the warts are, we know where the pitfalls are, and those are major pitfalls. You have to be prepared to address those. So for instance, retraining the workforce is a major, major aspect that you have to address right off the bat if you go down this path at scale. If you do a point project, yeah, there's no problem, right? You'll make sure you'll be able to do it. Low risk, yeah. But if you're going to do this at scale, then the technology moves very fast. You've got to get the workforce at least comfortable to the extent that they need to do their jobs to be able to use these systems. And so you do need to do that in mass as well, right? Otherwise people will not be able to adopt it, but you won't get the desired return. The point I made about legacy, where literally you could have billions of dollars that are locked in legacy. And so it may not be that easy to apply the AI systems in that context. You have to think through that to get the maximum value of these things. So these are all aspects that go to culture, to change. You know, my boss, he keeps telling me that there are only two words to describe my job. That's not data officer, that's change agent. Yeah, right. Good deal. So we have the wrap. John and I love storytelling. What's the story of IBM Think 2019 from your perspective? Oh, I think it's just been such a dynamic, vibrant conference. I see the energy. I think people are understanding the whole notion of the 2.0 and what it entails as the future is unfolding. And it's just been a terrific conference. Well, it's great to have you on theCUBE again. It's been marvelous to watch your progression over the last three years. Thanks so much for coming on and sharing. It's a pleasure. Thank you both. You're welcome. All right, keep it right there, buddy. John and I were back with our next guest. We're live from IBM Think 2019. You're watching theCUBE right back.


The results of this study suggest that higher quality antinatal care is associated with lower rates of low birth weight among infants born in Rwanda. Additionally, the study found that higher birth order, female gender and being born into a wealthier family were associated with an increased risk of low birth weight. These findings highlight the need for improved antinatal care and targeted interventions to reduce the incidence of low birth weight in Rwanda. This article was authored by Gerard Uemana, Mohamed Elhamd, Mitzloh Abregeprameddin and others.


headline, news update. Hi everyone, Basel Chapman here on this Friday, the 24th of September, the Tiger Financial News Network, 10am market update. You've got the doubt, this is very interesting, the doubt pulled back quite sharply overnight early into early this morning and now it's up 82 at 34,848. The short positions that we had for my subscription opening call, we covered that yesterday, we got stopped out with the profit and we still have the long term long from last March at the lows, we started putting in long positions. What we are looking at here is that the Dow is still way underneath, there's still a chance I'm still drawing in this arch formation, what happens in the next today and tomorrow, today and Mondays, it will be very important, I'll explain why because it starts trading the $35,000 and then goes to $35,200 anytime next week. That's a different scenario to the way the market had been trading before, but we are looking at the S&P up 5 now at $45.54. If that starts to trade in the $45.72 or higher area, there is a trend line resistance coming in. Let's just say that by today $44.74 and by Monday it will be a little different, but that whole mid-44.70s area, a trade in that area says, you know what, we've made a kind of a low that matches the other lows even if it's a shorter term a low, but most importantly the QQQ which is the NDX100 trading vehicle, $33.71.76 down to $1.28. It's lagging badly and every other low that was made that matched with on balance volume and the VIX index that I discussed yesterday and I showed subscribers is that this is being a rally but a very mild rally and even today it's kind of almost being pulled up by the other indices. So as long as we'll talk about this when I do my show in a few minutes until I get technicians out, we'll look at the fang stocks. Being back at the rest IWM is acting very nicely but it's still under yesterday's high. It's down to $1.223. Look at gold. Gold is down again down to proper, sorry, proper is doing okay, but look at crude oil. Crude oil continues to strike upside in the 73 area. A lot to talk about as well as bonds back for a few minutes for the tide there, technicians out and check out Moe.


I just returned from Cooperstown. I'm back in the Yes! Network studio, getting ready for the pre-game show with Bob Lorenz tonight. But I have to tell a couple of stories, leftover stories from Cooperstown. And who do we start with? The Closer. We're going to start with the Closer, Mariano Rivera. We had the opportunity to do a sit-down interview with Mariano. And I have interviewed Mariano, no joke, hundreds of times. I thought that he was in such a great mood that this was one of the best interviews we ever did. I'm not taking great credit for it. I'm saying that Mariano was in such a peaceful mood, in such a blissful mood, that he took us inside his mind. He took us back to being a kid from Panama, who used to make his glove out of a cardboard box. And suddenly, this kid grows into somebody who was the greatest closer ever. But beyond Mariano, I had the opportunity to talk to his 22-year-old son, Jaffet. And he left a real impact on me, a real impression, because he said, I'm so happy to be here, to celebrate what my father has been able to do. And I have to remind myself that this is baseball history, because not only is my dad the first unanimous Hall of Fame selection, he may be the only one that ever gains that distinction. We may never see that again. So Jaffet, also, this was very interesting to me. If you've had conversations with Mariano, sometimes to sort of solidify or emphasize a point, he'll put his hand on your shoulder. In that five-minute conversation with Jaffet, he put his hand on my shoulder twice. So I found Mariano, and I said, I found your mini-meat. It's your middle son, Jaffet, and he laughed. And I think everyone was just happy that Mariano, as much of a gentleman as you will ever see wear a baseball uniform, was able to get his honor in Cooperstown. In addition to Mariano Rivera, another player slash pitcher with a lot of Yankee history, Mike Mussina was also honored on Sunday. 10 years with the Orioles, 147 wins. Eight years with the Yankees, 123 wins. Which logo went on his plaque? Quick, take a guess, neither. Mike Mussina went in with a blank baseball cap on his plaque. He did not wanna have to pick between one and the other. And when I asked him about this, I thought he gave a very valid answer. He said, I wouldn't be here if it wasn't for both of those teams. So how could I pick one over the other? They will both be mentioned on the plaque, as they are, in the printing talking about his career highlights, but I thought that Moose, who was one of the smarter pitchers I've ever covered, went deep in thinking about, well, how do I honor both teams? Another interesting part of the interview we did with Mussina is, though he won 20 games in his final season, he fairly or unfairly was tagged as Mr. Almost, sometimes in his career. He had two 19-win seasons. He finished second for the Cy Young one year. He fell a strike short of a perfect game. He got to the World Series and never won it. Well, Mike Mussina got the last laugh because in our interview he talked about if I had to endure all of those almosts to be able to say I'm a Hall of Famer, fine, I'm cool with that because there are no Mr. Almosts in the Hall of Fame. One of the cool moments that occurred this weekend was the fact that the members of the Core 4, Derek Jeter, Jorge Pesada and Andy Pettit showed up in Cooperstown to honor the other member of the Core 4, Mariano Rivera. Now I know a lot of people don't like the Core 4 phrase.  I think it leaves Bernie Williams out, but for the purposes of what I'm saying right here, let's just go with that designation because Mariano knew that Bernie was going to be there. He played Take Me Out to the Ball game and the National Anthem during the ceremony, but he didn't know those other guys were going to be there. In fact, he called Jorge Pesada and said, I need you here. I want you here. You're my brother. So I talked to Pesada after the ceremony and he said, as soon as he told me that, I spoke to Derek and said, we have to figure out a way to get there. And Pesada kind of chuckled and said, well, that's where it comes in handy to be Derek. Derek chartered a plane. They got themselves to Cooperstown. They arrived on Saturday night. They hung out with Mariano Rivera on Sunday morning and then they were sitting in the second row for the ceremony. I think it was only fitting that those guys were all there together. And we also shouldn't forget Tino Martinez was also there. And then the Yankees had members of their front office and ownership group, Hal Steinbrenner, Brian Cashman, Gene Afterman, Jason Zillow, who handles media relations for them. But just the fact that you saw all of those guys together, it was a pretty cool thing to see. And by the way, Bernie on the guitar. I mean, how cool is this guy? You play center field for the Yankees and then you're nominated for a Latin Grammy Award because you're so skilled on the guitar. Goes out there and plays the national anthem and then does his only very cool version of take me out to the ball game which in the middle of that, he gives a couple of riffs of Enter Sandman as a little ode to his buddy, Mariano Rivera. I thought that was one of the cooler parts of the ceremony. Now, when the ceremony ended, I was there with the great crew that we had, Tony, our cameraman, Jimmy, our audio guy. And I said, we are getting those other members of the core four for an interview. I don't care if anyone said they're not talking. We are getting them. We put ourselves in position. I was closest to Jorge Pesada. I grabbed Jorge Pesada and he was able to answer a few questions. Pettit and Jeter fled. Could not get them, but I'll take one out of three. Meatloaf said two out of three ain't bad. In this situation, one out of three ain't bad. But a little message to Derek Jeter. You were in the second row this year. I hope you took a good look at the stage because next year you're gonna have to do a lot of interviews. I have a sneaking suspicion that in 2020, the Yankees are gonna be represented in the Hall of Fame induction again. Derek Jeter will be a Hall of Famer.


This algebraic geometry lecture will be about blowing up. So we will start with a simple example. Suppose we take the curve y squared equals x cubed plus x squared, which looks a bit like this. So the curve comes around like this. Now it's got a singularity at the origin and we can simplify it by making the substitution y equals tx. And then we find t squared equals t squared x squared equals x cubed plus x squared, which factorizes as x squared times t squared minus x plus one. So the result of this is in the x t plane, we now get two curves. We get the curve t squared equals x plus one, which looks like this. And we get another curve x equals zero, which looks like this. So our original blue curve has been transformed into a curve without singular points. And instead we've picked up an extra curve here, where extra line, this line here is called the exceptional curve. So we sort of simplify the singularity of our original curve at the cost of somehow introducing an extra line. So what's happening is the effect of this transformation is to leave everything in the plane more or less as it is, except this point in the plane is replaced by this entire red line. And this red line contains a point for each direction through the origin. So for example, there's a direction going like that, which corresponds to this point here. And there's a direction going like that, which corresponds to this point here. So that replaces the point by an affine line with the possible values of t. That's a bit artificial because it doesn't include a point for this vertical line. So blowing up really includes one extra point. So the general form of blowing up a point in the plane. So suppose we've got the x, y plane, a two, and we blow it up at the point zero, zero. What we do is we introduce two new variables. Let's call them x and y, which we think of as points in line P one. And now what we do is we look at the variety a squared times P one, whose coordinates can be given by x, y, and then we've got these pair of projective coordinates.  Now you notice if x, y is not nought, nought, there's just one point of P one corresponding to it. So this takes points in a squared that aren't the origin to a single point here. But on the other hand, if x, y is equal to zero, zero, then we get the whole of the affine line P one. We can have any point x, y. So if we take the subset of a squared times P one defined by this, this is called the blow-up of a two at a point. So we get a map from the blow-up back to a two, which takes x, y, x, y, just x, y. And the inverse image of a point in a two is either a single point, if we're not at the origin, or the whole of the line P one. So the point zero, zero has been changed to an entire line P one, which you can think of as being the possible directions through the point zero, zero. And P one is covered by two affine lines. We can either take x, not equal to zero, so we may as well take x equals one, or y not equal to zero, so y equals one. And if x is equal to one, then we're just making the transformation x times y equals y. And if y isn't equal to one, then we're just making the transformation x equals y times x. So in one case, we're dividing x minus y, and in the other case, we're just dividing y by x. And the blow-up is a quasi-projective variety covered by these two affine varieties. So in n dimensions, this is very similar. We take A n, which has coordinates x one up to x n. And then we take a copy of P n, whose coordinates, let's use a capital X one up to capital X n, that's P n minus one, not P n. And then we look inside A n times P n, and we take the set of all points such as x i times big x j, is equal to x j times big x i for all i and j. And again, we see that the sub-variety defined by all these points maps onto A n, and the inverse image of x one up to x n is a point if it's not equal to zero, zero, zero, and it's equal to a copy of P to the n minus one if we're at the point zero, zero. So it's replaced the origin by an entire copy of n minus one dimensional projective space. So we sort of blown up this point into an entire copy of projective space. Again, P n is cut, so P n minus one is covered by affine subsets the form x i not equal to zero. So if we look at say x one not equal to zero, we may as well take x one equals one. And then the equations we have are x, sorry, x i times x one is equal to x one times x i and since x one is equal to one, this is just x i equals x one times x i. So we just introduce a new variable big x i equals x i over x one. So the effects of blow up on this subset is that we're essentially just dividing all, introducing new coordinates by dividing all the old coordinates by x one. And of course you can do that with x one replaced by something else. So let's have a few more examples of this. What one major application of blowing up is to resolve singularities. So let's resolve the singularity of y squared equals x cubed. Okay, we haven't defined singularities yet. That comes in a few lectures, but it's fairly obvious what a singularity is. It's just somewhere where the variety goes wrong. So if we draw this curve here, it looks a bit like this and it's got some sort of singular point cusp at the origin. And now we want to blow up at the origin. Well, you remember what blowing up consists of, we can divide y by x and we can divide x by i. So let's just divide y by x. We put y equals x t and then we find we get the equation x squared t squared equals x cubed, which factors as x squared times t squared minus x. So this gives us the following picture. First of all, we've got this exceptional curve x equals zero appearing and we've also got the curve t squared equals x. So here this is t, this is the x-axis. So our original curve with the singularity of the origin and these new coordinates has been transformed into a nice parabola without any singular points. And we've picked up this extra curve here. So blowing up has resolved this singular point. So let's have an example in high dimensions. Let's look at the surface x squared plus y squared equals z squared. So this is a cone in three dimensional space. It sort of looks a bit like this. So it's just a cone. And you can see something is going wrong at the origin. It's got some sort of place where it isn't smooth. So let's blow it up at nought, nought, nought. And there are three different affine pieces we get in the blowup because we could either divide by one of these variables or one of the others. So let's divide by z rather than x and y. So we put y equals z times s and x equals z times t. So we're introducing new variables s colon t which are going to lie in the same direction. So we're going to lay it in another confine space, sorry, I shouldn't be using projective coordinates.  So this factors as z squared times t squared plus s squared minus one. And now if we draw things in the zst plane, we find what we're getting is this blue cone has been transformed into a cylinder. So this is just the cylinder t squared plus s squared minus one equals zero. So here we are looking at the st plane rather than the xy plane up here. And we've also got the plane as z equals nought. So we kind of get an extra red. The entire plane z equals nought is now an exceptional curve. It's an exceptional plane. So just as with blowing up in two dimensions, our original variety, the singular point gets expanded into something less singular. And we also sort of pick up an extra exceptional variety. Let's have a look at a slightly more complicated example. Now let's look at y to the eight equals z to the five, which is some sort of higher order cusp.  Well, we can blow it up once. So we can either divide y by z or we can divide z by y. So if we divide y by z, we can put z equals y times t. And then our curve becomes z to the, sorry, y to the five, t to the five equals y to the eight. So we get y to the five, t to the five minus y cubed equals zero. And y equals nought is going to give us our exceptional curve and t to the five minus y cubed still has a singularity. So we take this and we blow it up again. So how can we blow it up again? Well, we can put y equals t times s. So we find t cubed s cubed minus t to the five equals nought as what happens if we blow up twice at a point, which obviously gives us t cubed times s squared minus t squared equals zero.  And t cubed is going to give us our exceptional curve and we've got an s cubed minus t squared. Well, we've had that before.  So we find s squared equals nought or s equals u squared. And now finally, we've managed to transform our curve into a curve without a singularity. So here it's just a parabola.  We start with this curve. If we blow it up once, we get this curve. If we blow it up twice, we get this curve. Sorry, if we blow it up twice, we get, where's it gone? Sorry, I should have said this one here. And if we blow it up three times, we get this curve here. So now let's have a look at a pinch point, x, y squared equals z squared. This is called the Whitney umbrella. And if you draw a picture of it, you can see y. So a picture of it looks something like this. If I choose my axes like this, so here's the x-axis and here's the y-axis and here's the z-axis, then the set of points like this kind of looks something like this. There's a sort of parabola coming in here. It's definitely like that. So what happens is that the plane has sort of, we've got a plane, but it's kind of been folded in on itself. So it's got a sort of double line here where the plane actually crosses itself. In fact, the entire axis here is also in the curve. So this is the line y equals z equals zero. You may think this looks like a combination of a one-dimensional line and a two-dimensional surface, but it's really an irreducible two-dimensional surface if you look at it in the complex plane. So the axis is the set of singular points. So these are all singular points, obviously because this plane is folded. And these are actually singular points and you can't see this because we haven't drawn the complex points. So you can think of this as being the handle of the umbrella and this bit here is the umbrella that Whitney apparently used to keep the rain off him or something. Now, what we want to do is to blow it up in order to make it better. Now, if you look here, it's got a line of singular points, but there's one singular point that seems to be even worse than all the others, which is the origin because here we've just got two planes crossing each other transversely and here we've got something more complicated. So we can say the worst point is zero, zero, zero. So we're going to blow it up. Well, let's blow it up. What we do is we introduce new variables. So we're going to look at, remember, we take a copy of affine space and then we take a copy of two-dimensional projective space. Let's call these coordinates x, y, z. And we choose one of these three coordinates to be zero to get one of the affine pieces covering it. So if we divide by x, for example, we put y equals to x, s, sorry, x, y, and z equals x, z. So let's figure out what's going on. Well, then we get x times x squared, y squared is equal to x squared, z squared. And this simplifies as x squared times x, y squared minus big z squared. So we've transformed this singularity into an exceptional curve and another singularity. And now we sort of notice that this new singularity is in fact exactly the same as the singularity we started with, which is a little bit unfortunate. So blowing up this singular point of the Whitney umbrella, the worst singular point, doesn't actually make it any better. We get same singularity all over again. So what can we do to make this better? Well, I've been talking about blowing up along a point, but we can also blow up along an entire line. So let's try blowing up along a line and see what happens. So we're going to take the Whitney singularity and blow it up along a line, whatever this means. So we take coordinates x, y, z. Sorry, these shouldn't be projective coordinates, they should be ordinary coordinates. So we take a cubed and then instead of taking a copy of p two, we're just going to take a copy of p one and I'll give this coordinates s colon t because if I call them a subset of x and y and z, I'll get muddled up. And we're going to add in the conditions that y times t is equal to z times s. So what we're doing is we're replacing each point on this line by a projective line of, you can think of it as being all directions that are normal to this line in some sense. So let's see what happens where we've got x, y squared equals z squared. So if you blow up along this line, well, we should choose s or t to be equal to one. Let's choose s equals one. So we have y times t equals z. So we're putting z equals yt and we get x, y squared equals y squared t squared. And now this is a big improvement because we get y squared equals naught or x equals t squared. And x equals t squared is a nice and unsingular surface. So blowing up along a point doesn't work, but a more complicated operation of blowing up along a line does get rid of all the singularities. So in general, we would like to get rid of all singularities of varieties by repeatedly blowing up along various subvarieties. And an obvious way of trying to do this is you say at each point, you find the points with the worst possible singularity and they form a subvariet and you might try blowing up along that. And this sort of works, but you have to be really careful about how you define worst singularity. So you see in the Whitney Umbrella, it looks at first sight as if this point is the worst singularity, but blowing up along that point doesn't really help at all. So somehow the subvariety of worst singularities must be this entire line. So you have to define worst singular point in a very subtle way. So this point here is no worse than all the other points, even though it seems to be. Okay, so that gives some examples of blowing up along points and occasionally lines. And in the next lecture, we'll talk about a bit about blowing up along more complicated objects such as subvarieties or ideals or even sheaves of graded algebras.


Life is good all this month at Appalachian Wireless. Get the LG G5 for just one penny with signup or renewal of a two-year service agreement. That's almost $100 off the regular price. Better service, bigger savings. That's today's Appalachian Wireless. Well, we are following some breaking news out of Buchanan County, Virginia tonight, where the Sheriff's Department is investigating a murder suicide that occurred this evening. Now, EKB News reporter Sean Allen joins us now. With the latest information, Sean. Thanks, Gary. Sean Allen reporting for EKB TV News. I'm currently located at the mouth of Deal Fork in the Harmon community of Buchanan County, Virginia, where the Buchanan County Sheriff's Department has confirmed a murder suicide investigation is underway that occurred this evening in Deal Fork with two victims, a male and female. We'll have more as this story develops on the EKB Evening News. And of course, as always, you can get more news online anytime at ekbtb.com. Back to you, Gary.