Hey guys, what is up? Welcome to my channel. So for today's video, I am going to be doing an eyeshadow palette declutter. Now, this is a video that's very different from what I've done before, but I'm trying to kind of expand my content. So if there's any other videos you want to see, be sure to comment down below. This is going to be kind of a segue into filming my eyeshadow palette collection video. So this was me just kind of getting rid of some things that I don't use. So if you're interested in hearing what I'm sadly getting rid of, then just keep watching. So about half of these palettes, I'm not going to lie, they are from my boxy charms and I will explain that further. But I'm going to start off with the palettes that aren't from boxy charm. So these are like legitimate palettes that I picked out myself that I am getting rid of. So the first one is a longtime favorite of mine. This is the Lorac Pro, just the regular one. I recommend this to everyone. This has gotten so much use from me. This is beaten and battered up for quite some time. This was my favorite eyeshadow palette. I use it all the time. And quite frankly, I'm just getting rid of it because it's old. So this is going to go on the trash. Yeah, I just remember using this in high school and just to give you some context. I earned a degree from college in May. So as much as it hurts me to get rid of this, I have to. I can definitely see myself repurchasing this potentially. I'm not going to because I have so much makeup, but that idea is not out of the window. Next we have the Mac Burgundy x 9. Again, I bought this years ago. I think I bought it either in my freshman or sophomore year of high school. I got so much use out of this. Mac eyeshadows are very hard pressed. So these actually don't look like they've ever been used. But seriously, I use this a ton. I truly love this, this color scheme. It really flattered my eye color. I just, it's just old. I have so much more makeup now that I prefer instead of this. These little 9 pan palettes though are great for travel. And I also use this a lot for traveling. And it kind of makes me sad to get rid of this just because I have a lot of good memories with this guy. But it is time to go. It is old. I'm going to back to Mac it. Okay, moving on. I am also getting rid of the Urban Decay Naked Smoky palette. I just never use this. I think they got this out of their line. I did see it on sale for like 50% off somewhere recently. But yeah, these are just colors that I never use. I've wanted to keep it in my collection because this color high is stunning. But there's, I'm not, I'm not going to keep this palette because of one color. I have so much other better palettes, better formulas and color schemes that I actually enjoy using. So this guy is gone. I did get rid of my original Naked palette as well not too long ago. So yeah, the Urban Decay Naked line is just, I love my Naked 3 and my Naked Heat palette though. Alright, next we have the Kylie Holiday 2016 palette. This is her first holiday collection. This collection I absolutely loved. I bought the bundle. The packaging is genius. But this eyeshadow palette just wasn't a good formula at all. These eyeshadows, some of them aren't pigmented. Some of them don't blend. I did keep this because when I bought the whole collection I just wanted to keep it. This color is amazing and this color is amazing. The rest of them are trash. So I'm finally just like, I need to get rid of this. This isn't as good as her other eyeshadow formulas that I do have. There's no use in keeping this. I never use it. So I think I'm actually going to give this away to my cousin or something. Also this one's getting given away as well because it's not as old either. By the way, I want to hear your opinions on her new holiday collection, what you think. It's pretty and I really love that baby blue packaging. I think I'm going to pass on it but I will get into that in a different video that I'm going to do. Alright, so this is a palette made with individual eyeshadows from Shop Miss A. Now this was gifted to me but I don't know, these kind of smell chemically and I just have eyeshadows that are so much better. For $1, these are really pretty and the colors that they sent are absolutely gorgeous but I just want to give this to somebody who's actually going to use it because this was sent to me so I really would like for it to be used. Either one of my friends or my family is going to get this. I think this is, these colors are so stunning though. I just have so many other eyeshadow palettes. I know I'm not going to use this so I'm going to give that away. And then also I have the BH Cosmetics Galaxy Chic Palette. Now the reason I'm having a hard time getting rid of this, I'm really, I'm having some hoarding problems here because look how freaking stunning this palette is. I love to use these eyeshadows wet as an all over lid color but I just never grab for these. They aren't very good dry. You do have to make the formula work. And I have other BH Cosmetics products that I think are just so much better but this is just so beautiful to look at but it just, it doesn't get used so I need to give this to a better home, somebody that's going to love it and actually use it. Alright so moving on, I do have quite a few boxy charm palettes. Now I am going to hold on to these palettes for about another month or so because there is a video that I have in mind that I would like to do. So I am keeping all of my boxy charm stuff for now but after I film that video I'm giving these all away. Now why would I keep my boxy charm subscription when I'm giving these all away? I always get something in my box that's worth the $20. To me the subscription is absolutely worth it. I just have so much makeup that I know I'm not going to use everything and that's okay. And like I said I always get something that like changes my life that is worth the $20 in that box. So I'm not mad at all that I'm giving these away and of course somebody else is going to use them and love them. They didn't have to pay for them. So the first one is the Crown Glam Meadows Palette. I just wasn't too crazy about the formula of these. These are basically like the Morphe formula. The colors are really pretty but I just, I have palettes that have these colors in a way a better formula. So just for me I'm not too crazy about it so I'm going to let this guy go. Next we have the Boxy Charm and Pure Palette. Now I was so excited for this palette because look at these colors. This palette is absolutely gorgeous but honestly Pure really let me down with the quality on this. They definitely cut some corners with this palette. The formulation just isn't good and it's been sad because this is gorgeous. You can definitely work with it. I'm going to give this away to somebody who's going to appreciate this way more than me. But I know Pure has way better formulas than this. So I think that's what made me kind of upset with that palette. Alright so this one is a recent one. This is the Pure Midnight Masquerade Face Palette. To be honest I haven't even put this on my eyes.  I tried to get the plastic off and I just dug my nail into this blush. Look at that. Wow. Okay well anyways I heard some really good things about this palette. People were liking the formulation and the colors of these are super duper pretty but I'm trying not to hoard too much makeup so I am going to eventually pass this on to somebody. But I know somebody is going to love this because the colors are really pretty. That's some good stuff I'm giving away. This also is a new one. This is the Pretty Volga Nightingale Eyeshadow Palette. Didn't even touch this.  They're going to love this. So I wanted to try this out for short. I'm pretty sure I would like it because the brand does pretty decent products but I'm not going to let this palette sit on my shelf. I would rather give it to somebody who's going to use it. Then we have the Crown Pro. I don't even know what this eyeshadow palette is called. It looks like this. This again is one of those palettes that has that Morphe formula. These don't wear very well but I did wear this a couple of times and I did like it for sure, good colors. But I mean, how many warm palettes do we all have? I just have so many and I just feel like this would be better passed on and not my collection, not my shelf.  This is the Pure Bronze and Brighton and I actually had quite a few good experiences with this palette. I brought it with me to travel. So this palette didn't go unused and unloved but I just have so much better travel palettes than this because this is so shimmery but this is actually very, very good quality. When it's sitting on my shelf because I have so much more expensive makeup I don't want this to take up space, you know? Then we have the Naked Cosmetics Holographic Highlighter Palette. I really, really like this palette a lot and it hurts me to get rid of it but the only reason why I'm getting rid of it is because I have both of the Anastasia Highlighting Palettes and I have the Alchemist Palette from Kat Von D so there is no need to have this in my collection and you know, obviously I paid a lot more for those other palettes than I paid for this one so that's the only reason why because I paid the least for this but this is a really lovely palette. Then I have the Pure Sculptor Palette. I stepped on it and like broke the mirror but these colors are just too deep for me. This smells like chocolate. You could create really pretty everyday looks with this on your eye too so yeah but I don't know these just aren't my contour and bronze and highlighter shades. No use in me having this in my collection and I don't dislike it. It's just, you know, personal preference. So those are all of the palettes that I am decluttering and saying goodbye to. I definitely should have decluttered way more than I did but I am weak and I am a hoarder. So that's just, these are just what I had the strength to give away. Hopefully I will declutter a little bit more. Let me know if you're interested in seeing my eyeshadow palette collection your thoughts on the things I'm getting rid of. Yeah so remember to subscribe, comment down below like this video and I will see you guys in the next video. Bye.


Remember a hallmark card when you carry enough to send the very best Hallmark cards bring you a true story from the life of Shalameen starring Cornel Wilde On the hallmark hall of fame Welcome to the hallmark hall of fame This and the our true story is transcribed from the life of King Charles the great a man whose deeds have made him a legend Under the name of Shalameen We speak today of a united Europe. Well Shalameen did it We speak of the need for spiritual rearmament Shalameen actually accomplished it We are pleased and proud to have as our star and Mr. Cornel Wilde Now here is Frank Goss.  In either case if you'd like to take a moment that will brighten someone's whole day Go to a fine store that features hallmark cards and select one of the many hallmark get well cards These cards are bright and cheerful and always in the best taste and each card carries an extra complement The hallmark and crown on the back the symbol that you look for when you carry enough to send the very best And now with Cornel Wilde starring a Shalameen. Mr. Arnold brings you the hallmark hall of fame So proudly built the face of Europe in this eighth century with a maze of strange names Taxidy La Bardi and Franklin The four owners of France Italy and Germany today the kingdom of Franklin was divided in equal parts after all by young man named Carol man after all by his older brother Charles that is until the 4th of December in the year 771 and on that particular evening a man head bowed stepped into the night air Physician a moment. I beg your leave sir. Forgive me physician. I am father Michael from the court of Charles Is there news? The king is dead Carlin dead Amir youth youth he was 20 years of age and grown the maturity Did he not rule half a kingdom for three years beside Charles your Carlin was a child Oh, I know there was nine years difference between them But it took a kingdom to bring maturity to Parliament whereas Charles brought maturity to his crown What are this Charles the king of yours? Habaladeers and court sing thongs of prowess His forehead stands majestic his nose is as an eagle's beak His eyes are the eyes of a lion into which no man may see his voice is iron but gentle and take the message to him that his brother is dead and Charles will be crowned king of all the Franks You study your words carefully father. It is the beginning of an era Physician where it will end. No man may foresee get this night has been marked in the heavens Perhaps yes, father perhaps tonight Has God made Charles king of all Franks? He smiled Search the grove if it is safe we'll make camp there for the night Order the cooks to stand ready to make the fires We will have food as soon as we are settled and sentries have been posted Yes your majesty And tell the horsemen to be thorough we want no Saxons for dinner guests Aye sir The heathens has gone well sir you must be pleased Battle one is not a war I thought you did well at Erisburg but then I am a simple priest Unused to flowing banners trumpeting foot soldiers and pageantry Pageantry is it? Our nation's warriors the pride of the Franks All rabble them warriors I imagine All them rabble father but it was this same rabble who won the fortress of which you speak A victory unequaled by my father's greatest army I thought we had won a great victory But then I am so ignorant of madness military Oh it's just safe your majesty I've ordered the men to begin setting camp Boris and his men to find fresh water The sire The horsemen have found a strange object in the grove They asked me to report it Yes A column of wood standing tall in the center of the clearing A column covered with strange markings and carvings None of us have seen such a figure before Then we had to study it more closely before dark Coming father Michael Coming sir And it's said to contain unmet It is worshiped by the Saxon tribes As Christian men worship the almighty father Can men pray to a stick of wood And make sacrifice to it And give to it weird carvings unfit for all but paganized Yes sire Men can pray to such things If they have not found The heathens idle hewn to the ground Not to leave it as it stands Surely no one Hewn to the In each of us there is superstition your majesty Born of ignorance Business with the idle In it is the struggle for men's enlightenment Men have searched a week You're us who has never failed us can find no water Half my army beaks the woods for a hidden spring Like sits beside a dry I just is concerned but surely we will find This is not the finding of the water that matters now Father Michael This is the men themselves You talked of superstition and fear Well we have it now An army filled with it Don't you think I know about the men? Am I a monarch who hides behind his throne? I'm with them every day I ride beside them I eat beside them I fight beside them Tell me about the men They asked me to come to you To request permission to restore the Saxon's idle What? To place it again as we found it Not to worship it your majesty Merely to place it in the ground It has been no secret that our water bags became empty The day the idle was cut down Oh yes the men have made much of that even to me I knew of their fear and their anguish But this This from Christian men Thire the men swear they will not pray to the idle Magic some evil spirit And we have angered it by destroying this Father Christian men and frightened men And frightened men who are capable of Strange emotions of panic Or mutiny of destroying not only their king But themselves In his infinite wisdom the idle of the Saxons Is destroyed and I stand Underground spring as yours suggests Whatever its source Let us save the lives of all of us Are you a divine Let us say it was a favor Led us by a power greater than you or I That is a way of seeing it A way of seeing it A way I'm going to return And chosen just for us something extra A certain personal touch An added distinction and originality And that's so true in the sparkling new collection Of hallmarks slim gyms Those elegantly tall distinctively slender cards That stand out even before you take them Over their envelopes This new collection of slim gyms is now on display At the fine stores that feature hallmark cards And you can find these new slim gyms easily Because they're displayed in smart new Highlight racks There are some delightful new slim gym Birthday cards that seem made to order For those important people in your life Like a husband, wife, mother or sweetheart There's one for instance with a beautiful Design of butterflies in a wonderland Of flowers and it has a special message To sister on her birthday This lovely card will be warmly appreciated Both for its beauty and its personal words You'll find hallmark slim gyms For all sorts of occasions besides birthdays And for every special person you know And like all hallmark cards Each slim gym bears an added compliment on the back The familiar hallmark and crown The symbol that you look for When you carry enough to send the very best And now with Cornell Wild as our star Edward Arnold brings you the second act Of our true story from the life of Charlemagne And now with Cornell Wild as our star Edward Arnold brings you the second act Of our true story from the life of Charlemagne It was in Saxony where he forced the heathens to surrender With victory assured he moved his court To Theodore's villa in what is now southern France For the young king it was to be a period of rest But no sooner had he settled than a crisis occurred It began in February 773 And the imprint of it was to affect the destiny Of the entire world There is urgent and is the king's business I have a message from the Holy See Follow me, traveler, and shake the dust from your robes Lest you show disrespect for my king Traveler Sire Bring him into the light so I may see him A humble messenger, Sire From his holiness for Badrian His holiness? You come from Rome?  Galen Yes, Sire Send a messenger to Desiderius Tell him I would meet with him at once Your Majesty What is it?  It is, Sire For what purpose? To establish justice To seek the return of lands belonging to the Lombards But taken recently by men of the church The lands have always belonged to the church, Sire Desiderius has no right to them Tell your king, Cynus, to withdraw his army And I will send to Rome a commission Three men, a bishop and Abbey and a courtier They will decide with honesty what is just And both sides will obey by their decision What honesty may we expect from a bishop and Abbey and a courtier? You dare this blasphemy? A moment, Father Cynus, what caused your king to send you to my court with this greeting of peace? Desiderius knew you would soon receive a messenger from the pope It was his desire that you should hear the true circumstances For Desiderius also knows that you and your army Have just completed a vast and victorious campaign in Saxony That your army is weary, as are you That it would ill suit the Franks to wage war at this time And so he entreats you thus The Lombards quarrel is with Pope Adrian, not with Charles Leave it so I'll say you, Father Peter The cause of justice is any man's cause A war against God is every man's war This is the essence of his holiness message to you Galen, the army has been sent to their homes and their farms Provisions expended in the Saxony campaigns have not been replaced To raise an army now, we need to order every count and every peasant Those men-only horses will form the cavalry And those with armor will bring the mail for their protection Each village will provide a wagon train containing food for three months, arms and clothing for half a year Every landholder is expected to appear under the banner of his count And the king's vassals will bring all their free retainers The poor shall walk on foot with what weapons they may fashion for themselves Reply to your king thus seen as The king of all the Franks has received his message And this is his reply That beginning this day will the armed host of Charles march to Rome Our purpose? Call to Crippus Horsemen for the first attack We will assemble our consulate ones Yes, sir And these men you are about Not answer for the Lombards But I have always followed one rule with By either enlighten them or exterminate them See, John, let me hear no more Father Peter, you should have remained in camp My place is here with those who need me And children, those that are still living And desiderous Hiding with his men, soon they will be starved into submission There will be other threats, Sire As long as there are godless men There will be godless deeds Are you suggesting, Father, that I can cure the world's ills? No man can cure the world's ills I am suggesting something far simpler, Your Majesty I am suggesting that you come with me to Rome To Rome? To Rome, to the holy city To the court of His Holiness Pope Adrian Father and my father's father Both spoke of a journey to the city of Saints Yet neither lived to travel so far from His native land From Pavia, the journey is not long, Sire Very well, Father We will see Rome Thanks fear, lest He kept you waiting King Charles The Lombards still have Pavia, Your Holiness My army now surrounds them Also before you are no longer a king I am not displeased at the prospect Am I, King Charles? For you are a man of God And your mission is to spread His message for mankind In you, therefore, a mankind has a hope for survival That I have your blessing You have my blessing and my support King of Lombardy and my people Will welcome it throughout this land And when that time comes, Your Holiness I make this pledge to you That justice shall reign wherever the banner of His success was spiritual Perhaps more than any other single man He brought Christianity through the dark ages For first, last, and always, Charles the Great Who did indeed become Emperor Charles Was one of the world's greatest statesmen For he brought the world out of darkness At United Europe Here is Frank Goss Mr. Arnold and Cornel Wilde will return in just a moment I'm sure there are many people in your life With whom you'd like to keep in closer touch Throughout the year I'm often to write long letters But there is an easy and delightful way to contact them As frequently as you'd like Just use hallmark decorated note papers These attractive note papers Have just the ideal space for a short, musy note And their distinctive designs add a charming And appreciated touch of beauty to your note Hallmark note papers are so convenient, too To have on hand for invitations or thank-you notes And they're handy also for the college set During exam time, when students are especially busy They'll want the folks at home to know that all's well You'll find a wonderfully wide choice of hallmark note papers On display at the fine stores that feature hallmark cards Some of these boxes of notes have designs That are delicately feminine Others have the smart, simple designs Most men like to send or receive While others have a gay, light hair about them That young people prefer Hallmark note papers cost only fifty-nine cents One dollar or two dollars a box They're surprisingly inexpensive Since each note bears the familiar hallmark and crown On the back, the symbol that you look for When you carry enough to send the very best Now here is Edward Arnold with Cornell Wild I'll bet those hallmark note papers Make it easier for mothers to get the youngsters To write thank-you notes, eh, Cornell? Yes, Eddie, I'm sure that not only would the children Love them, but they're handy for almost everyone There's so many times when you don't have to fill A whole sheet of paper to write a thoughtful note That's certainly right, Cornell And now our thanks to you for an inspiring performance As Charlemagne tonight Oh, my thanks for being invited Tell me, whose story are you telling next week? Next week our story is of the life of George Washington Carver Perhaps one of the greatest agricultural scientists of all time From the lowly peanut he created in the entire industry It's an unusual story And by the way, the following week Our true story is from the life of Sir Winston Churchill With the prime minister's permission We are going to dramatize the exciting escape That actually took place when Sir Winston Was a newspaper correspondent during the Boer War Well, those both sound like very unusual programs, Eddie I'll certainly be listening Oh, that's right Good night, everyone And thank you for being with us, Cornell Wild And so until next week, this is Edward Arnold saying Good night When you carry enough to send the very best The hallmark hall of fame is produced and directed by William Prue For nights transcribed strip by Mr. Prue Third and tonight's cast were Jack Edwards, Herb Butterfield Frank Gerstle, Jack Prussian, Edgar Barrier and Barney Phillips Cornell Wild can soon be seen starring in the motion picture The big combo which he also co-produced This is Frank Goss saying good night to you until next week At the same time when you'll hear a true story From the life of George Washington Carver On the hallmark hall of fame Behind the iron curtain here the voices of their own countrymen The voices of individual citizens who have escaped to the free world And who tell them the truth And who can help on an individual basis By contributing money to build more stations Send your contributions today to crusade for freedom Care of your local postmaster This is the CBS Radio Network He whose mission in life is to make her handsome Fifty-ish father behave Be listening for my little Margie tonight At 7.30 on KMBC Stay tuned now for Jack Benny This is KMBC Kansas City, Missouri The installment loan department of Commerce Trust Company Offers you the modern convenient way to finance the purchase Of a new or used automobile at low bank rates No delay, convenient monthly repayments Come to Commerce Trust 10th and Walnut, the tone 6 o'clock


Go. Hello and welcome. My name is Shannon Kemp and I'm the Chief Digital Manager of the University. We'd like to thank you for joining this day diversity webinar how to avoid the 10 day data analytics funders best practices for success in 2021. This is today by Tamer. Just a couple of points to get us started. It's a large number of people that attend these sessions you will be needed during the webinar. For questions we will be collecting them by the Q&A in the bottom right hand corner of your screen or if you'd like to tweet we encourage you to share highlights or questions by Twitter using hashtag data diversity and if you'd like to chat with us or with each other we certainly encourage you to do so just click the chat icon in the bottom right hand corner of your screen for that feature and as always we will send a follow-up email within two business days continuing with the slides, the recording of the session and additional information that passes throughout the webinar. Now let me introduce to you our speakers for today Dr. Michael Stonebreaker and Anthony Dayton. Michael is an answer professor at MIT Computer and Science and Artificial Intelligence Laboratory and a database pioneer who specializes in database management systems and data integration. He has been a pioneer of database research and technology for more than 40 years and is the author of scores of papers in this area. In addition he has started three other companies in the big data space including Tamer. He also co-founded the Grigel Science and Technology Center for the perfect database at MIT. Anthony is the new product officer at Tamer overseeing product and solution strategy for Tamer's growing data mastering solution. Anthony was most recently CMO at Salonis and senior vice president and products at CLIC and has over 20 years of experience building and scaling enterprise software companies. He holds a bachelor's degree from Northwestern University and an MBA with high distinction from Harvard Business School. I look forward to our distinguished speakers to get today's webinar started. Hello and welcome. Hi this is Michael Stonebreaker speaking. Anthony and I are going to sort of ping pong a little bit so he'll be breaking in to tell me whenever I make a mistake. I also want to mention that Anthony and I are probably the only two people on this call who have never watched Breaking Bad. So you'll have to have to excuse our ignorance in this area. Also a bunch of these slides are not mine. They come to you from Tamer marketing including the one of the Winnebago here on the screen. Anyway so I'm going to go through what I consider the 10 biggest blunders that I see enterprises committing in the state of Spurs. And I'll just do them one by one by one. The first one is not planning to move most everything to the cloud. Next slide. Now it may take a while. This is not something you're going to accomplish this year. It may take a decade but it's the right thing to do. Why do I say that? Let me give you two quick vignettes. The first one is from Dave DeWitt who until recently was the head of the Microsoft Jim Gray Systems Lab in Madison, Wisconsin. So Dave said here's the technology that Edge was using for its data centers. They are shipping containers in a parking lot. Chilled water in, internet in, power in, otherwise sealed. Roof and walls are optional. They're only there if you need the security. Now discuss that with whatever you guys are doing with base flooring in Boston or New York. You've just got to believe that the cloud guys are going to do it cheaper. Another vignette comes from James Hamilton who works for AWS. And James, and I have no reasons just believe it. But he claims that Amazon can end up a load for 25% of your cost. Now prices may not accurately track cost in the short run but in the long run they will. And if they're a factor of four cheaper then I don't see how you're going to compute long run. Moreover, if you move to the cloud, then the big deal these days is elasticity. You use one node for end of month processing. You use 20 nodes for the day before that when you're getting ready for end of month processing. Use three nodes on the first day of the next month and so forth. So you can scale your resources with your load. You can't do that with on-prem data centers. So of course what everybody asks is how do I manage to move stuff from on-prem to the cloud? Well data will move easily. Just move the data. So decision support will be the first to move. And if you're not well along with moving all of your decision support to the cloud then I think you're making a big mistake. Next slide. Before we jump into the next slide I'll just chime in. I think we talk a lot about this idea of moving data to the cloud and I think partly because the cloud vendors who are aiming to capture that data care deeply about getting your data in the cloud because it creates lock-in. I think there's kind of a dual point here and Mike you make this this point about elasticity. This is the point I think we need to underscore not only is data moving to the cloud but compute is moving to the cloud as well. And so you're right that you can scale up and scale down but you can also do things on the cloud that would be just impossible to do if you were doing it in your own data center. Running a thousand-node spark cluster completely reasonable. You'd be doing it in five minutes from now on any of the three major clouds. Running a thousand-node spark cluster on-premise may be impossible or certainly beyond the scope of almost most IT departments. So the sort of change in capability that moving data to the cloud enables is actually dwarfed I think by the change in capability that having compute on the cloud is. And in particular in the area of what you can do with machine learning which I know is a theme that'll come up in future slides. But I know your next slide since I've seen the slides before I there's a lot of I hear a lot of angst from customers when it comes to moving stuff to the cloud a lot of sort of like objections so maybe maybe you knock off some of those objective objections Mike. Okay well you did say one thing which I want to underscore which is if you move your applications to the cloud you can either do that in a cloud independent way or in an AWS dependent way. So you have to decide pretty quickly whether you're going to avoid lock-in or not. And so that's just a decision you have to make. You can make it either way and just knowingly make knowingly make that choice. I hear lots of people say I can't move to the cloud because and I'll just mention a couple of these and then we'll go on. It turns out that I hang out most of the time at MIT in the computer science and artificial intelligence lab. We run a data center on waste flooring in Cambridge, Massachusetts. Our data center guys claim that they are cheaper than the cloud which is to say they claim that the cloud is not less expensive than running on their data center in Cambridge. And the answer is that's technically correct because they are not paying rent per square foot and they're not paying for power or air conditioning. So we're cheating in the sense that they are they are taking advantage of externalities that should not be there. So if it's apples to apples chances are you're going to be more expensive. People often mention security. Well the cloud security is likely better than yours. We hear enough horror stories about this configuration's rogue employees and all from on-prem stuff. So chances are their security is better than yours and maybe your CEO under other restrictions doesn't like the idea. This could be in your bonnet but that's I'm going to talk about that again in item 11 which is your bonus of London to come. Anyway I think the cloud is in your future the sooner you get going on it the better. Next slide. Of course as Anthony pointed out where does your application run. If you're running decision support just move whatever your decision support is to the cloud. Other stuff like legacy OLTP may well be mired in may well be mired in sins in the past. This needs a lot of work to move your OLTP and so do it gingerly and it may take you a decade or more. But sooner or later you are not going to run a data center on-prem. I just don't think that's going to happen. Next slide. Yeah before we leave this one I would just also add this sort of theme I've seen with customers is that as they move data to the cloud they also use that as an opportunity to think about consolidating data especially from the perspective of these decision supports or analytic applications. Again a theme Mike I know you'll kind of return to later but the analogy I sort of always draw here is you don't move a dirty house. So if you're going to move houses you know use the opportunity to also sort of go through the stuff throw things out you know consolidate stuff before you pay for movers to come move it. Similarly as you move data to the cloud it's also an opportunity to take a look at those sources you know discard ones that are no longer relevant to consolidate around key entities that matter etc. Okay now there's just lots and lots of talk on machine learning and more generally under AI. Expect ML to be disruptive in just all businesses. Next slide. So ML whether it's deep learning think neural networks or conventional machine learning which has been around for about three decades there's an enormous amount of research on both conventional and deep learning and it's getting much much much better and it is guaranteed to displace workers easy to explain jobs. So think autonomous vehicles think automatic checkout of the grocery store think drone delivery think getting your taxes done think actuary calculations all of that is going to be replaced by computer programs.  So you have a choice in the matter but one number two you can either be a taxi cab owner or you can think like Uber and Lyft one or the other and in my opinion it's going to be much more fun off into the future to be them to be a disruptee. Next slide. So what do you do? The answer is ML is fairly arcane. You are not going to hire aunt Maude from Cedar Rapids Iowa to be your ML expert. So you're going to have to pay up to get some ML expertise there in short supply and very don't hire talent here to do that. We'll come back to that in a bit and get going on the race by hiring expertise pay whatever it takes to get real class talent. Next slide. Yeah so I would add here that the first wonder and the second are tightly related in the sense that the ability to so prior to having data in the cloud and elastic compute in the cloud then the idea of machine learning and AI as a disruptive platform shift may have been true but it would have felt a bit out of reach out of touch and really only the purview of companies that were capable of standing up large infrastructure. So I think Google, Uber, etc. What taken together shift one or sorry shift Blunder one and Blunder two taken together what they're really what we're really saying here is that everybody the entire world any company now has access to the kind of platform that even as recently as a few years ago would have required you know quite a bit of expertise to stand up and so you know doing things the old way doing things the way we've always done it doing things the way that you know that we've been successful in the past is a surefire way to extinction and so you know the idea here is the playing field has changed and you either sort of change with it and take an ML and AI based approach or your sort of road kill and again a theme will come back to in a future Blunder. Next slide. Okay here's here is my favorite Blunder. A lot of you say I've got to get going on data science ML data science more generally and so I'm going to empower a data sciences group and they're going to change the world. Well your real data science problem is not ML expertise as I'll explain right now on the next slide. I talked to a lot of data scientists and no one claims they spend less than 80 percent of their time doing finding the data they want to analyze doing data integration to put it together and cleaning up the the nest that that data may well be. Most people say 90 plus percent time. So for example the chief data scientist of my robot they're the folks that bring you the vacuum cleaner that runs around the floor. She says I spend 90 percent of my time doing data discovery data integration and data cleaning leaving me 10 percent of my time to do the job for which I was hired. However of that 10 percent I spend 90 percent fixing my data cleaning errors meaning she spends 99 percent of her time on data discovery data integration and data cleaning. So she does not do data science or machine learning for a living. She does data integration data cleaning data discovery. The chief data scientist of Merck which has about a thousand data scientists said exactly the same thing.  So Anthony said it really clearly a couple minutes ago without clean data or clean enough data your machine learning is worthless.  So what should you do? Well obviously stop viewing data integration as a piecemeal thing to be solved by each individual data scientist in his or her project. This is an enterprise wide problem getting your data scientist good data and start by making sure that your chief data officer has read access to everything that your enterprise has. So if he doesn't have read access to all enterprise data then you're working for the wrong company. So next slide. So Mike maybe I suspect that's a very scary statement for many people on the call. Maybe you could can you share a little bit more about what you mean by read access to the enterprise data and why that's so important. Sure. So the chief data scientist at Merck or sorry at GSK Blacksmith Climb when he was hired he made a deal with the CEO. I'm not going to take this job unless I have read access to everything. And the CEO of course said why do we need read access to everything? Because everything is the thing the thing that my data scientists are going to want to have to get access to and if it's if it's really very long I want to know if it if something doesn't exist I want to know. So somebody has to be able to figure this out and if you're a scientist then all their time trying to get access to corporate information that's you're wasting your time and you might as well solve this at an executive level. So yeah cleaning up data is annoying then getting access to data to clean it up is like even more annoying. And then the other thing to think about is one common theme I hear from customers I speak to is at its core every one of our businesses is fundamentally a data business. You may think you're in the business of you know making drugs or in the business of logistics or whatever but at its core the real asset you sit on is that data and a chief data officer by the HR needs to have access to that core asset. Sorry. Okay. So wonder number four and I hear this just all the time. So we say okay I understand data integration is a problem but I got that solved. I have ET I have ETL in place I have a master data management system from one of the major elephants in place. I'm also unfortunately the answer is you're not right. So the real blunder is the belief that traditional data integration is going to solve this issue. So traditional data integration means extract transformer load ETL available from the variety of vendors informatica IBM talent. Or a belief that master data management also available from the usual suspects to solve your data integration challenge. Why is that? Next slide. So what is ETL all about? What is extract transformer load? Well here's the way it's sold.  So that comes down from God or somehow you decide. You build a global data model upfront from these data sources put your best person on it and that will get you a global data model. And then for every individual data source send a programmer out to interview the data set owner. Figure out what he's got, how it's formatted, figure out how to extract it. He then builds an extractor data cleaning routines, typically in a proprietary scripting language and loads data into this will be typically in the data warehouse. So this is what's peddled by the ETL vendors. And I could just tell you from 30 years with experience. I've never seen this technique work for more than 20 data sources. Why is that? Well it's food human intensive. Number one, you got to build a global scheme up front and that's way too difficult to scale. And you guys all tried this 20 years ago building enterprise-wide data models. They all failed. They all failed because you sent a team off to do it. It took two years and by then the whole business had changed to something else. So I've never seen this technique work with scale. So if you have 20 data sources and that's all you ever want to integrate by all means out of the ETL. But most enterprises I know have way more than 20 data sources. So Merck for example, which I'm going to convert here, has 4,000 plus or minus Oracle databases. They don't even know how many they have. Plus the data lake, plus countless spot nodes, and data for the web is also important. The scope of possible integration is all this stuff, way more than 20 data sources. So ETL simply doesn't work at scale. Next slide. Once you've managed to do ETL, however you do it, you need to kind of launch Merge. So you want to be able to find out if you're learning Mike Stonebreaker from multiple data sources, you need to match up my source records on match process, which is you need to do, you need to do consolidation of entities, and that's typically called match. So that's put together, all the records correspond to a single entity. And then you typically want to merge those into what's called the golden record, which is the definitive selling for Mike Stonebreaker's definitive address, and so forth. So the MDM vendors all suggest doing match merge by using a rule system. So implement match rules, for example, two entities are the same as they have the same address, for example, and using rules we merge, take the most recent value of multiple elements and so forth. So the MDM guy all suggests building rule systems to solve match merge. Now, the general thinking that I have is that you can build about 500 rules. And rules, by the way, are if, x, then y. And they're not ordered into a program, they're just a bunch of rules. So you can block about 500. You sort of stare at it, okay, I'll give you a thousand. I'll give you 2000. But no one I've seen has been able to build and manage a rule of mandatory with 20,000 rules. So just for example, if you require more than 500 rules to solve your problem, then you can be over with an MDM system. Well, who needs more rules than this? Well, GE, multi-glomerate, they have about 20 million spend transactions that they want to classify. And a spend transaction is you spend 50 bucks taking a cab from the airport to your home. So they have rebuilt classification hierarchy for spend.  They started writing rules in an MDM system. They wrote 500 rules, which is what you can reasonably expect to block by yourself. And that classified 10% of their spend. What about the other 90%? They'd have to write at least 5,000 more rules. And they quickly realized that there was no way they could write and maintain a rule base of 5,000 rules. So MDM just doesn't scale the large numbers of rules. Next slide. So let me just quickly add here and maybe link together the first five blunders slightly, which is so one question you might reasonably have in your mind is are the ETL and MDM vendors full of bad engineers and they just built really bad software? And I would argue that they're not.  It's that they architected the approach 10, 15, 20 years ago in an environment where the only reasonable mechanism of achieving the outcome was to attempt a rule-based system. Processing was relatively slow. The data was stuck in databases and relatively hard to get access to. And frankly, the overall IT strategy at the time was to see if you could get all of your data into the world's biggest data warehouse or not forbid into the world's largest SAP implementation. Again, a theme we'll come back to I think in a moment. In any case, in that environment, this idea of a rules approach was a reasonable way to attack the problem. What we've seen is a platform shift which has enabled a disruption in the market. And that platform shift is wonder one, which is this move for data to the cloud and compute to the cloud, which has opened up new possibilities. So that if you were to start a company today and attack the problem, you wouldn't architect with a rules-based approach. And the sort of elephants in this industry are saddled with the decisions of their past on how they've architected. Okay. We've pretty much had a good lead in to the next slide, which is if traditional ETL and MDM don't scale, then what do you do instead? At scale, you need to run ML. You have no space. This is an ML problem. At scale, you cannot use traditional techniques. And as Anthony said, an easy path to ML is just run ML. So what did you do while they worked with Tamer? They took GE's 500 rules, which classified 10% of their data, used it as training data for an ML system, which is in itself, and it classified the remaining 90%. So at scale, data integration is an ML problem. Full stop. That's what you need to do. Traditional solutions just don't scale. Now, if you have a small problem now, but you expect a big problem later, then you are heading toward deep quicksand if you use a traditional solution. So ML is the answer on how to scale ETL and how to scale MDM. And the traditional vendors don't do it because their products are legacy at this point. Next slide. Okay. Anthony already covered this. I hear a lot, not so much anymore. They said, well, I have, I invested in the world's best data warehouse. I've got everything in order. My data warehouse guys are solving my analyst needs. Life is good. Next slide. Well, data warehouses are good for something. They are good for putting structured data lots and lots of it, a few data sources, not from thousands. And they're good at customer-facing structured data. That's what they were built for in the mind use and that's what they're really good at. They're not good at text. They're not good at images. They're not good at video. And they don't do anything about data duration. So use this technology for what it's good for. Don't try and make your data warehouse do that in natural acts. And by the way, the decision support, which is what we're talking about is going to move to the cloud if it hasn't already. So if you're moving to the cloud, you get to change vendors. And so get rid of the high price proprietary spread if you brought into it already. So that's people like Teradata. So move to the cloud and remember that your warehouse data, your apps are moving to the cloud and you get to choose a new vendor and make that decision carefully. Next slide. I would add here, the blunder is that your data warehouse isn't going to solve all your problems. I would equally add that your major ERP vendor is also not going to solve all of your problems. In fact, quite the opposite. What we see in customers is move to a best of breed approach and thinking about taking advantage of and utilizing the best application, best operational application for the task at hand and running those in the cloud. And I think this is a really important strategy and shift for organizations today to think about optimizing their business processes, optimizing the way they work, the way they engage customers, the way they engage their employees, how they do business by taking advantage of best of breed applications. That strategy is, I think, one that creates tremendous business value and it's quite at odds with the strategy of making do with the operational application from one of the big vendors. So that's a lead in to the next slide, which is to say, well, maybe my warehouse isn't going to solve all my problems. But five years ago, I got told that Spark was the answer. And so I set up a Spark cluster and a word, Hadoop cluster, and that's going to solve all my problems. And that's simply not going to end. Next slide. So Hadoop, especially, is not good for anything, which isn't very good at anything. Uh, best of breed solutions come up around it. Spark is newer technology and is better, but it's still not that terrific at stuff. So Spark SQL is not competitive against the best solution. So as Anthony just said, you should use the best of breed, not the lowest common denominator, at least for your secret sauce. That's the stuff that is going to differentiate you from your competitors. This is universal blunder, which is the order to use only one vendor. And that means you run lowest common denominator, which means the lowest common denominator is not that good at anything. And for your secret sauce, that's not such a good idea. I'll also Spark and Hadoop are useless on data integration, which is one of your biggest problems. Next slide. So I hear a lot of stories of people who say, well, I'm running a big Hadoop cluster and it's empty. No one's using it. So what do I do? Well, we purpose it to be a data lake. That's the rage. We purpose it to be a compute engine for data integration, or better yet throw it away. After all, hardware lifetime is three years. You probably bought that cluster five years ago. And the thing to always remember is that you've got to move at the times and being stuck in legacy in the legacy world is not a great idea. Yep. And I would add here that the idea of distributed compute and orchestrating distributed compute, which is kind of at the core of both ideas. And I agree with Mike that Spark is a more recent implementation. Those are good ideas, good design principles, and in particular, good ideas in the context of data when it's sitting in the cloud next to a highly elastic compute. And it turns out to be a good foundation for thinking about machine learning. So that's a minor minor point. Okay. So about four years ago, Cloudera realized that Hadoop was not good for anything.  So Cloudera is a superb marketing company. And they said, well, what we want to do is we want to switch into telling people to use a Hadoop cluster data lake. So basically, they switch to marketing data lakes. And therefore, data lakes are the solution to all your problems. Next slide. What does that blunder really mean? Just load all your data into the data lake, and you'll be able to correlate anything with anything. Well, more recently, Amazon and others have said, well, let's start calling them a lake house.   They are just not. So you are not going to be able to take two independently constructed databases, load them in the data lake and correlate them. That's just completely not going to happen. Why is that not going to happen? Well, it's on the next slide. Well, first of all, your schemas don't match. So if you're the human resources guy in Paris, I'm the human resources guy in New York, you call it salary, I call it wages. Units don't match. You use euros, I use dollars. The semantics, the salaries don't match. In New York, life is a gross before taxes. In Paris, your salaries are met after taxes and euros and include a lunch amount. Time granularities often don't match. You have annual data and monthly data. The killer is, of course, data is dirty. So sometimes numeric data, 99 or minus 99, turns out to mean no. If I'm using a system where no, no, and you're using the system where a specific value like minus 99 means no.  So the data is dirty, meaning it's missing or it's wrong. Figure on the average, 10% of your data is missing or wrong. And your data is dirty, therefore, you can't just call it. Also, duplicates must be removed. If you're the HR guy in Paris, I'm the HR guy in New York, Mike Stonebreaker could work for both subsidiaries and my name could be expelled in one data set and not in the other. And therefore, there are no keys. And I've got to do any deconsolidation and any consolidation is just not trivial. So my favorite example is the Tamer Pestimer who wanted to ask the question, how many suppliers do I have? And so he ended up all the suppliers from all the various data sets and he got a number. And after Tamer got done with duplicates, he had one fourth that number. So we're often a large number of duplicates. And if your counting companies are counting suppliers, those duplicates may make a huge difference. So you've got to remove duplicates, the data is dirty. You've got to do scheme integration and so forth. Next slide.  And so what happens is that your analysts spend 95% of the time or 99% of their time finding, fixing, and integrating the data. And your ML models will fail if you don't do this. Next slide. So what do you do? Well, I'm a huge fan of data lakes. You've got to put your data, if you want to correlate your data, you've got to put it somewhere. But you just don't have the data lake, you have the swamp. You need a deterioration system, which will deal with all the aforementioned problems. And they are not trivial. Do not think that you can put junior programmer on this problem. And so the traditional technology, London number four is likely to fail. So this, in my opinion, is one of your major 800 pound relics. How to organize integration. You've got to put your best people on it. At Tamer, we see a lot of in-house solutions that we're getting to replace.   And you've got to use modern technology. And that does not come from the legacy, the legacy MDM and TL vendor, and certainly does not come from your home group system. So if you want to deal with the best technology, you've got to deal with smallish companies like Tamer. Next slide. So I would just add here, the data lake failure blunder is really the blunder of assuming that the answer is a data storage problem. And the swap is obviously a good analogy in that just consolidating your data into an environment does not solve the problem. I mean, it's a good start and there's nothing wrong with it. As Mike says, you need to have that. It's sort of a necessary but not sufficient condition to success. And then his latter point, which is, this is an incredibly difficult problem, technologically difficult problem, means that it's also ripe for technical innovation. And in a sense, if Tamer can take credit for anything, it's for kind of working hard from its academic roots at MIT through to today to working out the math of solving this problem, which it turns out is non-trivial. So it's a great example of where when you build on the new architecture, you end up with a radically different solution. Okay, blunder number eight. Lots of you outsource your shiny new stuff to consult with. In my opinion, this is a likely company ending blunder. Why is that? Next slide.  Most of you are dug in pretty deep legacy code. And so the shiny new stuff gets outsourced often because there's no one available internally. We're going to deal with it. Next slide. In my opinion, this is company ending. Number one, your maintenance is poor. So creative people quit. And so you have no good talent to work on new stuff. And you have a hard time hiring great talent, even if you tried. Thanks great people to hire great people. So your new stuff is your secret sauce over the next decade or so. As you move to an ML powered world, please don't outsource it. This is long-term suicide. Instead, outsource the daily crap, the stuff that you've got to do to keep the lights on for sure outsource email and anything else that you can outsource. Software is your secret sauce. Best if you want people hire a few wizards. They can hire some other wizards. And that is going to be what is going to be your differentiator against your competitors ten years from now. Next slide. So what should you do? Well, start by hiring some ML expertise. Outsource before a maintenance and cancel your time. Okay, now we're on to Lindsay. I'll just briefly add here. This is a tale as old as time, which is every time we see a platform disruption in the technology market, the big consultancies kind of custom build solutions on top of that. There was a time when I began my career at Siebel Systems when in order to build essentially a CRM system, the strategy was to hire a big consultancy and build it from scratch on first principles. And along came Siebel in that case and said, actually, you know what, this is a kind of solvable software problem. We'll just go build a standard solution to this problem. And I think that's exactly what we're seeing in this market as well. So custom building AI and ML solutions is not the strategy. Okay, next slide. All of you should be able to look by Clayton Christiansen called the innovators dilemma. Next slide. So basically, a lot of you are mired in the past because you simply say, I can't move on. I can't, I can't deal with disruption. And so Clayton Christiansen analyzes this in some detail. And he calls it the innovators dilemma, which is you're selling the traditional stuff along comes some innovation that threatens to disrupt your market. And I don't have time since we're almost out of time to go through through an example. But he goes through a whole bunch of examples in this book that says it's a real dilemma because it's very difficult for you to hold on to your customer base or all of your pest base while you're moving from the old stuff to the new stuff. So if you succumb to the innovators dilemma, and you say, I therefore, I can't move to the new stuff. Next slide. Then in my opinion, you're dead in the long. You've got to be willing to give up your current business model and reinvent yourself. Otherwise, you're going to have business in the long run. You're going to get disrupted. And so you might as well do the best of it. So read Christiansen's book and then act on it. Realize that you're you may well do some of your current customers in the process. You want to avoid going out of business in the long run. I don't have to remind you that if you're a taxi driver in Cambridge, medallions in Cambridge, we were 700 K five years ago. Now there were 10 K going on zero. So you need to be able to reinvent yourself. Next slide. And who's going to help you reinvent yourself? You've got to pay up for a few rockets. Next slide. So who's going to help you avoid these plunders? Re-invent yourself. Move to data integration other than as per view of individual data scientists, etc, etc. So pay up for a few rocket scientists who is people who are way off scale. Your HR folks will like it. Chances are they will be weird.  They certainly don't wear a tie. They put their feet on the table. Please drive them away. Instead you've got to nurture these rocket scientists because they're the ones with good ideas who are going to be your salvation long term. Next slide. Okay. Now you might say, gee, Mike, Mike, I work for a company and we're succumbing to plunders two, four, six, and seven. So next slide. If you're working for a company that succumbs to any of these plunders, then you should be part of the solution, not part of the problem. So you should be fixing it. If you're not, if you're not fixing it, chances are your company is going to go out of business long term. And so you should be looking for a new employer, and of course Tamer is hiring if you're looking to work. That's the end of my slides. We're four minutes from the end. Maybe Anthony has some color or Shannon wants to see some questions. Yeah, why are we in the remaining time? I'd love to ask any questions. Yeah, what's the best way to do that? Yeah, so there's lots of questions coming in. So let me get to as many as I can here and just to answer the most commonly asked questions. Just a reminder, I will send a follow-up email to all registrants by end of this Thursday for this webinar. Great presentation, as always, you guys. Signing in here, you suggest moving most of all of our data to the cloud. What types of data should remain on-premise? On-prem data is going to be data that is buried in COBOL legacy systems from 1969 for which you have lost the source code. There will be silos of data that you just can't realistically move because it's just too expensive. And if it's too expensive to move, then put a big box around it, tie it up in the go, and leave it running wherever it is, and your successor and your job will hate you. But if it's not economically viable to move it, then you're stuck. Move anything that they may turn on investment case or moving. And when you mean cloud, could it also be a Docker or Kubernetes? Kubernetes and Docker are container technologies in which you can put your application. They can run on-prem. They can run on cloud. They are simply enablers. They're simply sandboxing technology that generally speaking you should embrace. But that doesn't depend on whether you want to move to the cloud or not. Kubernetes and Docker run on the cloud, run on-prem. They run pretty much everywhere. It's a good example of design decisions you would make differently knowing that you intend to run on a highly elastic compute infrastructure. Knowing that way, then design principles like leveraging Kubernetes would be worth the investment versus other approaches you might take. For example. Well, Mike and Anthony, thank you so much for this great presentation. But I'm afraid that is all the time we have scheduled for this. Again, and thanks to all our attendees for being so engaged in everything that we do. I'll get the questions over to Tim or Kate to help get you the rest of those answers for you. And thanks for being so engaged. Just again, a reminder, I will send a follow-up email by end of day Thursdays for this webinar with my suicide and the recording. Thank you both so much. Thank you all. Hope everybody has a great day. Stay safe out there. Thank you. Thank you everyone for joining us. A lot of fun. Thanks, Phil.


what is going on guys today i bring you yet another destiny video pumping my daily for you guys hope you appreciate that now yesterday i uploaded a video basically showcasing to you guys what i believe is the best weapon to use for the challenge modes that are here with the weekly featured red which is the vault of glass we have templar and we have atheon more so towards atheon though as that's the one people well most people are asking about which weapon shell i use which weapon shell i choose and i told you guys what i thought was the best weapon that being the sleeper simulant now with my loadout i can get 12 shots with this actual weapon and i had many comments asking me how i actually did this now today i'm going to show you guys exactly how you can do this on your character excluding a hunter because bungee hates those hunters but before we get to that if you guys do enjoy the video leaving a like is much much appreciated also if you want to be in the chance of winning my weekly emblem giveaway simply leave a comment down below okay so i'll show you guys my class setup i use for as a demonstration i'm showing you guys on my titan now as you can see i'll show you actually everything i use the primary i use is a genesis chain because i absolutely love this flipping weapon i mean it just wrecks faces underrated not that many people really use it i mean they know about it but they don't really use it i think it's fucking great then i use just any high impact sniper rifle to be honest it ain't always the one thousand yards there but anything that's high impact legendary i will use them regarding my actual inventory but the main weapon to use the exotic to take in in my opinion is this right here the sleeper simulant because this thing just absolutely tears okay yes you you run the risk of killing yourself a couple times like i did yesterday one run i killed myself about five fucking times absolutely crazy but we were failing a lot messing about and shit so yeah but it still just does the maximum damage in the least amount of time which is what you want you want maximum dps you really do and the sleeper simulant gives you that i mean you can easily if you're in the team obviously one person holds a relic but if the other five are using the sleeper simulant you can easily kill a fjern within one teleport phase run and you really can you guys will see uh in a quick second uh in the in the background now what i used to actually get 12 bullets with this thing because the standard actually you want to get nine uh so i'll show you guys the actual armor i'm using my helmet i always look for a helmet when doing raids where shields start immediately recovery after you pick up an orb well that's actually really important because you lose a lot of health and usually more time than ever there's plenty of orbs lying about so if you pick one up it actually starts regenerating your health this is actually more important though when you're doing crawler's end raid rather than the water glass because in crawler's end raid unless um you near the challenge so you've got the challenge your health doesn't regen so shields start immediately recovery after all pick up is really important there but i just use this when i'm doing any raid and plus it's intellect discipline as well which is what i mainly go for gauntlets you can see i'm using here increased reload speed with fusion rifles because if you didn't know the sleeper simulant hasn't got the fastest reload not going to lie to you guys it reloads pretty slow so you want to find gauntlets which actually does increase your reload speed of fusion rifles because it is classed believe it or not as a fusion rifle so yep that's where it works and the videos actually do work indeed now the chess piece i'm using which is actually the main piece of my kit right here is actually what you want to get that 12 bullets or the 12 shots with this actual sleeper simulant you want that perk right there heavy ammo carries more ammo for heavy weapons and it gives you 12 shots with your sleeper simulant now there's actually a little bit of an issue here because with your hunter you actually do not get a chess piece from year two or three which gives you extra ammo for heavy weapons i don't know why the fuck they don't include it i don't know why the fuck bungee have left us hunters out but you just don't get one you do not get a chess piece unless you want to use the year one lucky raspberry which is an actually peace taking my opinion so yes if you're running the hunter i'm afraid the maximum shots you can get with your sleeper simulant is nine now other chess piece obviously with our title we've got the twilight galson which offer this actual carry more ammo for heavy weapons perk we also got the armamentarium and that is it actually the crest of alpha loopy for the titan does not offer this actual extra ammo perk for heavy weapons for the warlock we have the alchemist raiment this offers this perk the purifier robes offer this perk the starfire protocol does too but the void vang vestments and the heart of plastic fire do not offer this perk so if you want to get 12 shots on your warlock the three chess pieces to go for our alchemist raiment the purifier robes and the starfire protocol anything else will not give you this perk now i've actually tried pairing it with legs that actually offer increased ammunition for fusion rifles i actually have some here which you guys will see me actually putting these both on and using a heavy ammo synth and i still only get 12 shots so this will not increase your fusion rifle ammunition for the sleeper simulants which is a bit of a shame but it is what it is now if you are running a titan i would say to you guys use the defend the subclass and use weapons of light pop that at the back of the platform where you stand to shoot atheon and you do even extra damage at certain points at the one phase run we did i was doing over 220 000 damage per shot with the sleepy simulant to atheon and you guys will see that in the background now but yes guys this is definitely in my opinion the best setup you can use for the challenge modes within the waterglass i mean it makes things a lot easier and if you get it down you can like i said you can easily do atheon within one run and we've done that twice now still got my wallet to run later which i will do and i guarantee you guys we will do it in one phase run using the sleeper simulant because that's how we do shit but guys i hope you enjoyed the video i hope it helped you out thanks to those four stopping by if you're new here and enjoy the content do press that subscribe button as i do upload that daily desk mission press that bell button it's that subscribe button to turn on the email notification so you never miss one of my videos and as always guys i will see you on that next one


At Audiology Associates of Prestonsburg, you can live your life the way you want and find the freedom of better hearing. You'll experience patient care that is specific to you with exceptional follow-up care that ensures your hearing and balance needs are being met. Audiology Associates at 1428 Northlake Drive in Prestonsburg. Recently, Floyd County inaugurated its newly elected jailer. Steve Little has taken up the position after a lengthy 2022 campaign. Little intends to treat both the staff and inmates at the jail with respect and is off to a good start. Well, there's a lot of moving parts to a jail. So I have decided to take the approach to do an assessment of the jail and the employees for the next 30 to 90 days. Of course, there's things that I've identified that we need to address immediately and I have in the last week and we're making good progress. I told the voters in this county that we're going to have a clean and safe and secure jail and I'm working toward that. Although new to the job, Little has already enacted some much-needed changes. Security and comfort are two priorities that are being handled. Fewer contraband items are entering the jail and every inmate is receiving a new mattress. I'm here to take care of these inmates, no matter what they did, but I'm here to take care of them, make sure they're clean, make sure the building's clean, and make sure they're fed and housed and that's what I'm going to do. I made an arrangement to have new mats brought in for all the inmates and a lot of them needed some because theirs wasn't up to standard. So there's a lot of things that are basic that I can do really quick and really fast and there's some things that's going to take some time. I want the people who would like me to know that I told them that if I got this job I was going to clean this place up and we'll work hard and I will. All this is new to me. I'm sure the new will wear off eventually, but as long as I have this job I'm going to take care of the people in this jail and I'll do what I say I'm going to do and my staff is behind me and I'm behind the staff and we're going to make this different. We're going to make this environment different. I can't make a hilton in, but just the basic needs, standards of what we need to do will be done if this jail going forward.


Welcome to Digital Asset News. Take a top story in cryptocurrency and digital assets and bring them out of bite-sized pieces. So today, I've got some pretty interesting stuff. First up, we're going to just do a quick review about the 2021 price predictions update that me and my friend Paul Abaron over there, Paul Bear Network talked about as far as what's happening with potentially price increases. So we'll take a look at that quickly. But the more important thing is the update to the Voyager token swap timeline. And how I actually just totally misheard what Steve said. And I'm going to play back some proof that I got it wrong. And then finally, we'll take a look at some important news about the Theta mainnet 3.0 and about staking your Theta on top of your T-fuel and the new requirements and all those good things. So we'll take a look at all that stuff. I also want to just show you how it all works as far as like with your Theta wallet. So first of all, let's take a look at what's going on in the market. So today it is June 30th. It is about 1 p.m. Texas time. Somewhere around there. And market cap slipped a little bit. So let me blow this up so we can see it. What's going on? We've got a market cap of around $1.4 trillion. And looking at that, we could just almost touch 1.5. So there's always going to be people who just want to take a little bit of profits. And here we go as far as what happened. And now we're slipping out. Oh, hey, it just went up to 1.43. Pretty good. So if we take a look at what might be doing pretty well. Well, Bitcoin is doing okay, 34,000. Ethereum is making that big bump above 2,000. Almost, it's gonna pump for a while till mid-July. The EIP 1559 goes into effect mid-July, which should reduce the gas fees. So we'll see how that works out. But I'm hopeful. And hopefully it works out pretty well. So do we have anything in like kind of big winners in 24 hours? Not really, just a little bit of red. People taking profits. And I mean, really, there's nothing too dramatic. It's all pretty much good news. So let's just jump into today's top story, shall we? All right, so the first thing I want to talk about is price predictions. And this came up because I had promised everybody that I do an updated price prediction video. And we did that today, and we went over a bunch of different things.  We've gotten kicked in the teeth for a couple months now, cryptocurrency and digital asset holders. But there's some good news on the horizon. Like this article just came out, 6 billion NCR opens Bitcoin purchases to 650 banks. NCR is a technology platform used for payments for the banks and they partnered up with NY Dig and they bought 6 billion worth of Bitcoin to give those to the banks so they can give those to their customers. And this, the last two sentences just kind of squares it all up. The financial institutions that opt to make the service available rely on NY Dig's custody service. And this is the latest by NCR to capitalize on demand. It's seeing from banks and credit unions tired of seeing crypto purchases made from their accounts to outside exchanges. And of course, that to me just means that the banks are just like going, look, we don't really get it that well. We don't understand, but that's what people want. So we're gonna give them what they want. And that's what every good business does.  People tell them what they want and they give it to them and people want crypto. So they're gonna buy crypto and allow them to purchase and hold and all that good stuff. So that's a positive news.  It happened all these years, it happened this year. It's gonna happen next year. And just so you know, those FUD stories will come along and it's not a big deal. And then we talked to real quickly about how internet's just a passing fad. This was an article back in the 90s and look where the internet is today. You're watching me right now. And then we talked about just some big dips that came along. And I just said, hey, look, it's been a pretty tough couple of months, but just remember that if you invested $1,000 10 years ago, that would be worth 6,000 for Google, nine for Facebook, blah, blah, blah, blah. And for Bitcoin, it'd be 237 million. So on this channel, we're not big sensationalists. We don't, a bunch of cheerleaders, we don't think things are going to the moon tomorrow. It's dumb. We're just here to buy and hold. You know, we're here for the long haul as far as investors. So to that end, we gave a quick price prediction and I will link the video at the very end. And here they are right here, right? And me and Paul went over exactly why we both agree or disagree as to why these are gonna happen. And then we took a quick look at some other one of my holdings like Bat, StormX, T Fuel, Avalanche, Silo, blah, blah, blah, blah, digibike, meld. And I just talked about those as well. So I will link that video at the very end, but just so you know, it's been a tough couple of months. We can agree on that. But again, it's not about where you start, it's where you finish. And speaking of which, some of my, one of my predictions was Voyager. And I said that it was going to $30 and people thought it was crazy. And I talked about it's all about this loyalty program. And we got some news today. So this just came out right now, probably about an hour ago or so. And I had always was under the assumption that the loyalty program would happen after the swap. And the swap was going to happen June 30th. I totally misheard Steve what he said. Steve didn't say it was happening June 30th. He said they're gonna finalize everything. They're gonna make sure all their eyes are dotted and teased across, everything's good. And then they will give the exact date. But the loyalty program, which is what it's all about, was still in September. So just take a listen, tell me if I'm wrong, but I'm, well, I already got it wrong for X, I totally misheard him. So take a listen to this. All right, so let's go. Lots on pocket, but there's four, right? So we are extremely close on getting formalized with our biggest exchange on getting this contract because it's huge, right? I mean, it's a lot of tokens moving, a lot of tokens that will get state needs of formal contract as I said a month ago. We're on target, I said June 30th, we're on target. We're in June 24th, I was with my marketing team and I'm a tail who runs this for us just yesterday. And we're on target for the end of the month. So we're on target to have that contract finalized which will set the date for when we start the swap because we... I must have misheard him because he said it pretty much exactly. June 30th or the end of June is when they're gonna finalize everything and then set the date for the swap. I heard him as saying it's June 30th is the swap, but yeah, I get it wrong. And that's the great thing about the YouTube. I can just come in here and go, this is what it is, this is the facts and this is why it's so important. And one of the reasons, before we go on, one of the reasons why I feel a desire to make sure that everything is correct, not just because I wanna make sure everything's right. That's just part of it. But there was this video that I watched and it was from Vice. And it was about El Salvador, El Salvadorians and how they were accepting Bitcoin. And it's later right here, she runs a small little shop and she was just saying how, cause they asked her, they go, well, how's it been? Because they've been trialing this whole thing with Strike and Lightning Network and Payments. She goes, well, it works pretty great. I'll take cash and Bitcoin. And then the guy asked the reporter says, well, have you seen the value of Bitcoin go down and has it affected you? She's like, yeah, it's went down like 50%. And it really affected me. So like all of these different fudsters and car salesmen and everybody else who spreads out the false information and really drops the price. It's not just like it affects a couple of things. It affects, it's a ripple effect that goes out. So you gotta make sure that you get everything right as best you can. We're all gonna screw up, we're all gonna make mistakes, but just get it right. And if you make a mistake, just go, hey, just like in the army, when you make a mistake, you'll, I made a mistake and now I gotta fix it. It's very simple. So anyhow, going back to this part here, let's finish up. This is only like 10 more seconds. We have to get that contract and the swap will be shortly thereafter. And I don't remember if it's gonna give people 30 or 45 days. I just don't remember what the swap timing is on that. But we wanna get it done quick because once the swap is done, then we'll kick the loyalty program off after that, which probably means a loyalty program timeframe of around September 1st, giving people the time to swap. Okay, I remember those dates. September 1st, loyalty program announced, or swap announcement in 3rd. So here's what just came out. And I'll go over this very quickly. So Voyager token swap will officially take place the week of August 9th. So we've got all July, they did everything. He said it was gonna be announced, got announced. It's gonna happen August 9th. Gonna be as we get close to the timeframe, we'll provide the exact date and window for when the swap will start. So they know it's gonna take place on August, on the week of August 9th. They don't know it's gonna be the 10th, the 11th, the 12th, but it isn't within that week. Got it. If you hold VGX in the Voyager app, your tokens will be swapped automatically. That's me. And you will not need to take any additional action to swap your tokens. While the official token swap for Voyager takes place in the Voyager app, trading of VGX will be temporarily paused. And people were freaking out about this part, like, so what, for like 30 days we can't trade it? No, in-app token swap may take a matter of hours and trading of the new VGX token will resume once the swap is complete. So not a big timeframe. And lastly, two weeks before the swap, Voyager will open our swap web portal for international VGX token holders and LGO token holders, because that's what it used to be called. VGX was called LGO. This will give token holders the ability to swap VGX and LGO tokens to VGX 2.0. Don't worry, it'll still be called VGX. And stake the tokens on chain at 7% APY, which is pretty nice. The web swap portal will be available 14 days before the swap and will remain accessible for 30 days in total to allow all token holders to swap the tokens, which is pretty great, especially if you're in another country outside the US. The initial rollout of the Voyager loyalty program will happen post-swap at the beginning of September. So just like what Steve was talking about here with me and Alex and Atlantic Castle, the NASCAR driver, he said that's what's gonna happen and that's what happened. So great. So let me know what you think of the comments section. I think this is a pretty good catalyst and I'll stick by my assessment of $30 VGX token in a year. And that's it. All right, next up, Theta mainnet 3.0. So Theta mainnet is a big thing. And I didn't realize how big it was until I read this article. So the mainnet 3.0 will be released today, June 30th. And here's what's happening as far as key fuel staking. If you haven't paid attention, T-Fuel was like nothing. It was like fractions of a penny. And now it's like almost 50 cents. So if you would have heard about this before, but a pretty good, pretty big upkeep. So real quick, Theta is the governance token. It secures the network. And T-Fuel is like the cash that she used to spend and what they actually pay creators on their network, which I am one of those creators. I actually have a channel over there on Theta. Anyhow, Theta blockchain will perform a hard fork at block height of 10 million something, approximately 12 p.m. Wednesday, June 30th. So it happens today to enable the mainnet 3.0. This will incentivize edge nodes, making the edge network more useful to video platforms and other partners increasing adoption of Theta network overall. And I'll tell you the difference between the edge network and the validators and all those things in a second. So edge nodes enable additional new work types, such as decentralized storage of NFTs. Interesting. Processing for applications operating on edge networks and much more. There is no token swap as part of mainnet 3.0. I need to make this very clear. There's no token swap. Your Theta and T-Fuel are safe in their existing wallet addresses. Do not fall for any scams about requiring a token swap. Just leave your tokens exactly where they're at. You don't have to do squat. That's it. And then to finish up, two major proposal innovations. The edge nodes will enable uptime mining, the tokenization of internet bandwidth and availability. Users will be able to stake T-Fuel to an edge node to upgrade it to become an elite edge node. Elite edge nodes can earn additional T-Fuel through their stake T-Fuel, I'll show you in a second.  I think this is interesting. We'll add a cost for using Theta Edge Network, namely a network fee as a balancing force against new T-Fuel supply. With mainnet 3.0, a minimum of 25% of each T-Fuel payments to the edge network will be burned. In addition, 100% of all gas fees for running smart contracts and transactions are burned. So that's great. So if you wanna just find all the information on this, you can go to theta-token.org and then when you scroll down here, it'll have, you can download the Theta Edge node if you wanna do that, a Theta Guardian node if you wanna stake your Theta and earn T-Fuel or Theta Edge node, you can earn T-Fuel by caching popular streams, you can download that. Or here's a pretty great thing, you can just stake your Theta or your T-Fuel in the wallet. So let me show you what it is. And then real quick, these enterprise nodes, this is if you have like a million Theta or so, if you're like Google, Sony, Samsung, Binance, Blockchain or Gumi, that's what you got. So that is what it is. And then to get to, see right here up here, it's got network, news, team, partners, docs, wallet. If you click on wallet, it'll take you here. And this is your Theta wallet. And real quick, I'm gonna open mine up, I'm gonna hide this so no one sees it because that's not great. I'm gonna show you how easy it is to stake. Okay, so in the wallet, and you've got the wallet right here, that'll have your accounts of Theta and T-Fuel if you have it. You send, receive, stakes, contract and settings. And just real quick to make sure, I think I glanced over this a little bit too fast. But if you're for stakes, first of all, if you wanted to do a Guardian node, that's to earn T-Fuel by staking Theta. You have to download it first onto your computer or the Theta Edge node, you have to download it to your computer first.  And what I'm talking about here is, you're gonna click on deposit stake. And let's just go with the Edge node first. So the Edge node is all about earning T-Fuel by caching streams. So we're gonna click on Edge node, continue. And then the token T-Fuel, 12,000, I got loaded. And then of course right here, this is Edge node holder, the summary. This is where you put the information for your Edge node that you already downloaded to your computer. And that's what has to be up, running all the time. So you can cache all these things so it can be used by the network so it can reduce the bandwidth cost. And then the amount, whatever you wanna do.  So that is that part. There's also the validator node, which if you have a million Theta, good for you. But validator nodes are more for people like, let me see, where are we? Validator nodes, like Google, Sony, like we just talked about, so that's not me. And then Guardian nodes, that's where you stake your Theta to secure the network. And you do the same type of thing. You just gotta download it and then stake it this way. And this was a new one, I haven't seen this before. Delegated Guardian nodes. So this is, these are the community. Delegated Staking Guardian nodes are nodes run by Theta community volunteers. Uptime of these nodes is not guaranteed and you may not receive full T fuel rewards if the node you delegate has significant downtime. So, and there's like one, two, three, four, five, six, seven, eight, nine, 10, 11, 12, 13, 14, 15. It's like 15 different ones that you can just do that. So if you don't have the ability to have uptime, you can delegate this way and then they get a share of your Theta or their T fuel, whatever else that you're staking. So that is essentially it for Theta. And all these different upgrades, I think are gonna be pretty big and I'm excited to see what happens. I'm moving forward. That's why I have my price prediction for what it is right there. And that is it. So look, for the final thoughts of the day, it all just really comes down to this. This has been quite a roller coaster ride here and there. And we've had a lot of ups and downs, but I think hopefully we've turned a little bit of a corner. I do not think July is gonna be big. I think it's gonna be everything's gonna move sideways. Nothing's really gonna happen until August, maybe even September, and just expect that. So if you're a dollar cost advertiser, hey, congratulations, you got a lot of time to accumulate. Other than that, I just see the one that could probably be going up is Ethereum, just because the EIP 1539. All right, so that's it. So look, if you made all this way, thanks for watching, I really appreciate it. If you liked the video, give it a like, get a consider subscribing, all the things we talk about are time sensitive on this channel. And that's it for today. So thanks so much, appreciate it. See you on the next one.


It's the individual.  I remember one time my mom came home with McDonald's, didn't know that my dad had done the same thing. I ate them both.