All right, so we're going to do an introduction here to the tails system and it is a live distribution For tour basically, it's a way to boot this up off of USB have your computer Without leaking any information on there now I am going to set an admin password so we can try admin functions if we want to in this demo here So we're going to double-click that we have to set a password And nothing on this is persistent The other thing we're going to do here is we'll leave the network connection is default it by default Wants to do max spoofing, but because I'm doing this demo in virtual box to make it easier for me to record I do turn it off as far as I know most modern hardware on laptops desktop supports max spoofing and that's spoofing your Mac address, which is a uniquely assigned so to speak serial number of your network interface They spoof it so it makes it harder to track when you connect it to watch networks But as a virtual box seems to have a problem with it So we're going to head and turn that off and like I said, it's just for the demonstration purposes Not you don't really have to do that Also the admin password can technically kind of make you less safe because if you don't set an admin password There's no admin functions available So nothing can run it when you set an admin factor you can run some of the admin functions But you don't need to to get started with tails. So we're going to go ahead and kick it off and start it here Now it purposely doesn't save anything on the hard drive So this is a as I said a live distro that you run and I'm just running it off the a so Which you can run this off of a USB set up a boot of USB plug it into the computer And it creates basically a clean environment for you to surf the web and it directly connects to Tor You're gonna see a warning that'll pop up that'll tell me I'm in a virtual box Because it does like to warn you that virtual boxes can be compromised so by running in a virtual box You could be losing some of your anonymity basically they're saying the host OS could have some Security holes in it now Tor is ready and can access the internet and At the top here you can see The onion circuits that are built and that it's connecting. It's going through here It's gonna takes a second start building the circuits And then you can see visibility into the detail of the circuit you're on Now it comes pre-packaged with the Tor browser, of course We're gonna open that up and it defaults to the tails page on there Now they also have you block and solve by default to your standard Onion it tells you the different IP addresses you're using and when you're using them The script blocking is turned on on turned on there and I like the way they call it It's the amnesia Incognito live system and amnesia pretty much means That it is for complete anonymity as in this system forgets everything it wipes everything So if I download save files to any of that It's going to be wiped now your standard Tor system is still here where you can rebuild different identities and rebuild the circuits on there And it's running a flavor of Debian So it's pretty pretty cut down pretty generic. They took out a lot of the extraneous stuff. They do have a few things in here Bit Bitcoin wallet a onion share obviously an insurance browser They do have and it'll give you a warning if you try to open this up the unsafe browser Which will bypass the proxy, but everything on here by default has been redirected to work through the boxy So you have under the system tools power stats a Figuring a persistent volume What the tails installer does will not it will not install to a hard drive But it will do is clone itself to another Encrypted USB so it'll wipe out and build you another USB stick This also can be used for creating they have an option to create a persistent volume And I believe it creates one little folder so you can pull files back and forth and kind of a persistent state But it doesn't save all the settings in there for it Comes with a inkscape GNU emulation program. So it's got gimp in here Libre office draw scrubs scanning your standard Libre office stack Some programming math Kind of just real basic stuff here. I was kind of cool that they did include here under video Pit TV pit Evie, I'm sure you see it But it's the video editing software which was included on here, which is kind of cool So it's got basic video editing on here and audacity for audio editing and track editing with a couple other tools like traversal So basically it's pretty straightforward as soon as you're online It's nice because there's not wondering is this browser anonymous or am I hiding something it right away is so as soon as we start To open up something duck It you we don't have to think about going okay Is this the anonymous browser or not because everything on here is anonymous, you know If you open up the reader if you open up ice stuff for a newsreader Picked an instant messenger any of these that you connect to right away are already all routed through the proxy So instead of having to think about whether or not something you're opening up is routed through the proxy They all are now. I like to take a look at what information is actually coming out of here. So I'm going to drag this over So that 198 is the IP address And you can see the connections. It's invisible, you know, we're surfing the web on this Let's pull up a couple websites. We're actually some more data So I have a couple websites open here. I opened up Google news through open reddit here And quickly just through something in duck. Go and now we're going to look at the data analysis from my router And nothing the only thing we see is the one connection over here to tour So you can see the SSL traffic the unknown traffic it did, you know request a DHCP But there's really not much going on here. It's really hiding everything. Everything. This is going to sq.iac.io and that's it So it's doing a good job of not leaking data is one of the problems you have sometimes is DNS leaking with DNS leaking does is It is your System making DNS queries that kind of de-anonymize you because they can track your IP address track your MAC address and go K I see all these DNS queries and you're using tour with this You're seeing nothing but tour because from the get-go as soon as it starts up. It doesn't do anything online It just goes right in and starts going to tour so it hides all of your data It encapsulates everything on there and without worry about any leaks now I imagine I can de-anonymize this mail do at the end I'll try it with opening up the insecure browser which bypasses the proxy and you'll see how much data starts flowing through here But as of right now you can see there's just there's nothing to see I mean obviously we do know that this particular sessions using tour, but that's it So if far as functionality goes it works like any other Live OS, it's Reasonably fast, you know from when you're reading off of a thumb drive in this case I'm reading off an ISO on virtual box. I tried it off a thumb drive. Like I said, it's just hard to record it there Is I got there's not really any recording facility built into it for me to do that It also doesn't make it easy to install software Purposely they lock this down pretty good for your own protection all the other tools some of the other ones that are in here is Like the onion chair, which I think this is kind of cool so if you have a file you can literally drag files here and it will create a Circuit just for that so you can download out of the tour browser. I'll show you how that works real quick All right, we just quickly create a file called test.txt Over here and we put it in the documents folder. We drag it to here and We hit start sharing what's gonna do is Create a tour onion service running on this session so I can share this file and as I understand This is how some of the whistleblowers. We're sharing some of the data is using some of the internal services like this This is how you can get files to people over tour anonymously and securely Without leaking what you're doing now, of course the tricky part is you have to get the files onto the computer From here and perhaps like doing some encrypted volumes Because it does have encryption built in on this. I believe it has a standard your standard LVM encryption stack I'll double check and look that up. All right. So right here. We can copy the URL Paste the URL and it's you know completely randomly generated. It's gonna take a second and This is what someone you can share that file and it'll let them download it tells you what the what the contents of the file on there It does automatically zip it for you So you can download the file And it lets you know that there's downloads Now once it downloads you notice that the sharing stopped once someone has that file it drops it You have to start up the sharing again So I'll pull this back over again one more time And still nothing so we can see the duration to see the connection, but there's still no visibility So they need that's a nice thing about running it completely off a live cd There's no worries about you accidentally clicking the wrong thing and opening it up everything gets routed through this anonymously But as far as tails goes It's really straightforward and simple being that it's a standard live cd. They have an error reporting system in here The documentation is included It's your standard laborer office. I don't need to go into details on that I've tried this on a couple computers. They all started up fine. I mean, this is the beta version But I haven't had any crashes on it But the tails os is a is a pretty neat project Not hard. I mean it's literally like any other live cd iso Download and run go ahead and close that And it looks like this may have locked up again. It's the only program I found that's uh been a little bit unstable I think it just pauses a little bit too much. It's uh, the windows won't refresh and sometimes it locked up Locks up. I mean when it's doing this But it's also right now pulling a lot of data through all the news feeds At that slow tour speed But not so far like I said, I really haven't found any problems with it. Uh, It's works great. I actually find surfing with this on the same computer that I have Just running a tour browser bundle quite a bit faster Uh, it seems to build the circuits really fast. Yeah, this has decided to quit again. It's a force quit Uh, it seems to surf the web reasonably fast for being on the tour browser Uh, the connections build really quick.  You still have all the same mornings Well, you know attempt to distract an html kind of this metadata. So It still warns you about any of the other settings like these standard tour browser bundle does Um, and nice thing is too having the ublock origin installed means right away ad blocking So that's handy.  I really, you know, it's built on the standard Debian like I said, so there's not much there. You got all of your standard network settings wired settings It does support wi-fi. So if you if you're connecting to a wi-fi it does that and it's most hard We're by default it wants to spoof your mac address and leave the admin turned off You also can get like I said root terminal They do have power stats if it's running on a laptop so you can be energy efficient with it And the nice thing is you don't really have to worry about wiping any browser history Or anything at the end because one is shuts down. I'll show you At the end it shuts down and wipes the memory. So Real quick here. I'm going to try and de-anonymize it. So we're going to hand close all the tabs on this And I'll see what happens when you start the insecure browser So if we start an unsafe browser session Makes us sure do you want to start a network to activity when the unsafe is not anonymous? So it's going to give my normal ip address starting browser And I like the way they do this too. They keep everything in red and the first flash screen is warning the browser You're currently using is not anonymous Like I said, they've gone through a lot of trouble. So you can open up any of the other network utilities Anything you're doing is kept through the tour network and kept anonymous with tails So everything's anonymous by default and only through This can you force it to be not anonymous? So let's open up google.com facebook.com twitter.com And we'll go back to opening up reddit.com So now that we've done this i'm going to drag over the network analysis and now We can see that this is going to be full of data. So we went from this computer being anonymous online This kind of shows a difference to It being we'll see all the different sites I connected to in just that few seconds. So it's uh, it does a good job I didn't see any dns leaks. It does what it says it does it starts up Only connects to tour networks and in routes all traffic through tour from top to bottom And like I said, I detected no leaks. I see nothing on my network when I was watching this But this minute, of course, you open up the non anonymous browser.  It's amazing how many different websites just by connecting to those Look at how many websites that are now visible Just from those couple connections, you know, I open up just uh google facebook and that and There's a plethora of data that is now being tracked on this But you know it keeps it red. So you know, you're doing it. You know, you're uh, so now It's not we're gonna shut it down when I close all tabs and you'll watch it'll wipe the memory clean on shutdown And that's it. Just quick overview of tails 3.0 beta. It seems pretty stable. I've surfed the web for a little while Pretty slick system. It's nice. Like no dns leaks, uh, or any type of leakage detected It just connects you right to the tour network so you can get surfing and keep yourself anonymous Thanks for watching. If you like to content here like and subscribe. Thanks


Everybody forced here ripping 2023 top scrum baseball hobby and jumbo a box number 24 Random team style the results on your screen can be found anytime the late sports cards calm. Thank y'all for joining. Let's go ahead and get started six box mixer next is that Two to go It's two platinum anniversary two finest two top scrum jumbo over the place in this one Let's pull some monsters Fractur rookie is Tuglia Rockies, I should get a neck tattoo. I think you're right Steve. I think I should prison murky bubba Thompson Rangers And that'd be sick. What should I get Steve? barbed wire Ricky Otto G1 Bay for the Pirates Steve reviews about to be Steve van for life Fractor is a Springer Yeah, he also says that she had a neck tattoo. I Think so too. I just you don't know what I should get if your factor is a ronda for the rays Dory the Explorer neck tattoo Yeah, that's how you know someone's a straight-up thug stone cold killer Dory the Explorer neck tattoo Swiper never stood a chance. No Michael Harris base See it Yes, everybody just leaves early these days Bryson Sam Dylan. Oh my god Everybody's just leaving early Orange refractor is an Andres Jimenez to 25 for the Guardians Nice start guardians Prison refractor rookie David VR for the Giants Something that incorporates my favorite car designs and teams and parallels.  Yeah, that's what Sean's gonna get on his knuckles actually Sean just get trash tattooed like on his arm is in her arm prison rookie Nolan Jones Rockies She's got four trash cans on your knuckles Fractor Alec Gwendoa Neck tattoo The most dedicated breaker in the game right there Mazataki Yoshida Fractor Chris Sale Got a Ruchman Finest Future stars in a magenta speckle Taylor Ward angels out of 350 Those are from box one Death on one side breaking on the other. What is Steve talking about Adley Ruchman? He got refractor JT Romuto Get a boom tattoo Prism MJ Melendez Royals Future stars of Steven Kwan Prism refractor is a confordo for the Giants You don't you don't have any tat Steve. Well, how are you gonna tell me to get a neck tat? You don't even have Here a fracture cannot Smith and G but pirates U.s. Open Yoshida base rookie for the Red Sox Gold wave is it Jose Altuve Astros numbered 15 to 50 nice parallel low number parallel so far Fractor Garrett Cole refractor rookie Adley Ruchman Orioles Prism rookie Josh Smith Rangers So you guys you got NC football tonight. There are some baseball breaks with spots left pristine divisions case Has five to go my dentist speckle or not pageant, but purple speckle rookie I don't know Lynn Jones Rockies the 299 nice hit Rockies Libertor rookie refractor Cardinals Prism Chris Bryant Rockies Green rookie Titans Adley Ruchman number 27 of 99 sweet hit for the Wow good pack here Very nice card for the Orioles with a radiating rookies von Grissom for the Braves What a pack. I hadn't seen color on the Titans yet You know Orioles and there you go Braves Those are some super cards Titans Ruchman Clemens rookie refractor Phillies Green refractor is rookie Ezekiel Topar Rockies to 99 great box for the Rockies True green Tovar and then the purple speckle Jones auto both have been pretty darn good this year as well And they're both pretty young Gotcha, how does that affect the like a tattoo process Steve blood platelets, right? So what exactly what exactly happens with that? Because your blood coagulates lower Fractor rookie Coloss white socks Just get a super small tattoo Adley Ruchman rookie base blue refractor rookie Nelson Velasquez Cubs 30 of 150 with the color match Prism refractor rookie Brian Bayle Red Sox rookie Otto Cubs and Nelson Velasquez some Nelson Velasquez box here Fractor Jose Abreu Prism refractor is a Ronald Lacuna Jr. For the NL East you guys see Mookie Betts is now the betting favor for National League MVP Fractor Shane Bieber Guardians Dude has been an on Freaking fire past like month or so prison rookie Cal Mitchell Pirates. Yeah, Zack. You'll have to email us Believe I believe so at least Lidolo refractor About a hundred percent sure, but I think so got prism Royce Lewis for the twins. All right refractor Conforto Rana Drury Aqua Rookie Ryan Nelson a 199 Diamondbacks Hey, Donald. How are you doing? Fractor KB One more hobby box Fractor Rookie Anthony Volpe for the Yankees Technicolor of Olson Fractor Al Tube Photo negative is a Reese Hoskins for the Phillies Rookie refractor Corbyn Carroll Diamondbacks Prism refractor is rookie Oscar Coloss White Sox Michael Harris future stars rookie inserts Fractor is Randy Arosa Rana. That was all good, Donald We just keep on breaking got a prism Matt Chapman for the Blue Jays Corbyn Carroll got prism Lidolo Tristan Casas Anthony Volpe Kyle Tucker rookie autograph Spencer steer Solid hit for Cincinnati refractor rookie Bubba Thompson Rangers Prism refractor rookie Marlon Jordan Groeschans Should we have a debate about best type best cookies? It's definitely a oatmeal Istanbul This done bowl Man, it's gotta be Late late at night over there. How you doing emory? I don't think we have too many Turkish viewers Sell for a trillion. What? Nothing refractor Rookie Pasquantino for the Royals Yeah, trillion. What is my question? Magenta speckle to 350 for an end of Tatis Junior for the Padres This guy's delusional refractor Akunya for Atlanta that guy lives under a bridge for sure Always trolling us things I would say to Anthony if we could if we could curse the things I would say to this to this person I Believe such tears which wins prospect is really good red right now Just admit it do it to help Give me a number you can call Anthony What minute oh man white chocolate macadamia is fire that sounds amazing right now Wow check that out Vladimir Guerrero, Jr. Ultraviolet all-stars autograph to 99 blue jays Super tough pull congrats blue jays Six of 99 Rookie refractor is Michael Massey for the Royals Peanut butters also fire aqua Mullins to 199 for Baltimore Fractor Scherzer Prism refractor Lodolo for the Reds a refractor of Brandon Lau Casas base gunner base Harris future stars prism is Austin Raleigh for Atlanta Fractor Dalton Varshow I guess we're trying to get pristine fellas are pristine random divisions case coming up in a bit Everything's sold up up and sell that points rookie autograph David Hensley Astros You're an Alvarez refractor Corbin Carroll Technicolor insert one soda refractor. Lemay you one through nine eight Jersey card Aaron judge with two pinch stripes That is awesome. He's not gonna hit one Which one did you get you get Carol? Correa you better odds at me Dude I got Chris Bryant rookie prism is after Coloss for the White Sox Chris Bryant refractor Just got one of these He's not gonna hit a homerun Go scratch it off go to the website where it says and then you predict when they're gonna hit a homerun and You could win a sweet parallel Got a photo negative trade turner Phillies prism Ramon Laureano for the A's and a rookie refractor of Gunnar Henderson for the Orioles Viking's gonna regret not trading for Lance. I guess we'll see Lance has a ways to go Orange wave is rookie Otto Jack Larson 5 of 25 mariners Some good color in this break refractor of confordo Titans Harper rookie refractor Langley is A's Prism rookie is Ethan small for the Brewers and a Bieber refractor Vaughn you excited for cookie butter lava from a from a crumble I'll order a crumble when the hurricane hits. I'm not tipping anything. I don't Technicolor shohio Tani prism Luis Ortiz rookie for the Pirates and refractor rookie Tristan Costas Red Sox You know who I bet is a bad tipper that works here is Donnie Donnie probably tips the delivery drivers like he like rounds up to the next dollar from what he pays. He's like it cost me $18 and 70 cents 30 cents is your tip. That's that's what he Or key auto Lenin so so white socks Fractor rookie is Jonathan Aranda rays. He starts running Uber Eats. They just deny it. They're like, no, no Bucky's oatmeal raisin that sounds amazing. I need to drive up to Bucky's closest one I think is Daytona Aqua lava to 199 is MJ Melendez Royals.  I didn't check out the gas stations today. I'm sure they're crazy No one's freaking out yet But yeah, it's the literal last day to do anything Prism rookie hunter brown for the ash Joe's refractor Anthony Rizzo Appreciate it as well. Taco's appreciate you grabbing a spot Gold rookie auto Esteban kid roast 4850 for the cubbies Fractor Manila geez man, someone was a total of the best joke ever out there She can make anybody laugh that loud No chance dude Refractor he'd deal with the Orioles No way man Wow Adley Ruchman ultraviolet all stars green 97 of 99 What a monster card to the Orioles are killing it. Oh my god That is a wildly cool looking card Josh Jung prism of albies for the Braves and refractor rookies waters for the Royals Oh Green waves and 99 Mackenzie Gore for the Nationals Got prism Yati Molina for the Cardinals Riki refractor is Parasi Yankees. It's one of the last people I expected to see yeah Whoa, really? What is this? Why does it pack so thin? What's going on here? It's just less base. I think huge Whoa pretty plate rookie auto Esteban Kiro's one of one Good God What is happening here? They're fractured at ease. I do my gentle plate on the one of one auto for the Cubs Jeopardy dude heck. Yeah, I Would like to watch Jeopardy, but you need the ball you need the balling to watch Jeopardy We can't do that got prism of Trevor story for the Red Sox refractor Willie Adames Wish she was She's good got prism Charlie Blackman for the Rockies, which clearly I mean she's put in a lot of work refractor Cedric Mullins No, that was not Kenzie. I was one of our old I guess shipping supervisors Was the title I don't even know what the title was But she was basically that Got a blue refractor rookie auto Travis Swaggerty to 150 for the Pirates Ricky refractor Michael Harris Braves Swaggerty. Yeah, he definitely made that name up You know what we got to go by Swaggerty What gentile speckle rookie Bubba Thompson Rangers out of 350 Ricky refractor Ethan Small Brewers Harris Jordan Walker Bay prism refractor rookie Parazza Yankees and rookie refractors to find it for the Angels long cards There's an Adley base. Let's keep it going here. A lot of monsters in this break Riley Green base Prism rookie Spencer steer for the Reds They know and are not a refractor. Okay. I think spots are coming in here still for breaks Find a spy and pristine spot Thanks to oppo pristines down to four Find us down to 18 Got a rookie auto John Josh Lester for the for the Tigers. Yeah, rookie refractor or not rookie, but DeGron refractor there Let's go right socks. No, I thought the series is over. Yeah, she'd a rookie the gunner rookie Titans of J ramp refractor is a Hermon Marquez dude, come on Focus man. Yeah, Donald if we do. Yeah, if we do I'll let her know John got prism rookie DL Hall for the Orioles Fractor is Garrett Cole wave refractor. I see is a rookie join Manassees number 70 of 75 for the Nationals Prism is Cabrion Hayes Pirates and rookie refractor eating small brewers. It's a baseball How's it going other finest five just came in I see God Volpe rookie and Carol rookies Rookie refractor auto for the Guardians Tyler Freeman to 499 rookie refractor Adley-Ruchman Orioles We don't have anything to give away right now baseball We're just doing some group breaks tonight Got a prism Cedric Mullins for the Orioles refractor JT realmuto. All right. See you later, Donald Prism Wilson-Catrass for the Cardinals refractor Luis Castillo. All right last box of jumbo. Just hit Shawn instead Let's go for the alley if he wasn't ready 88 rookie autograph will Benson for the Guardians I Appreciate that baseball rookie refractor cannot spitting jeep with Pirates photo negative rookie Max Meyer Marlins Titans-Ruchman refractor of Freeman Guardians rookie morale there Prism rookie is Garcia for the A's Refractor Tim Anderson O'Neill cruise future stars Prism is Jose Miranda Refractor Juan Soto They signed small on that one. It seems like Ryan So Ryan blue Ray wave rookie out of Tommy Henry to 150 diamond backs refractor Manny Machado Uh, yeah, thanks baseball 99 refractor rookie Perez for the White Sox Drop to Ryan Prism refractor rookie Brian Bale for the red Sox a refractor lending Sosa Magenta Rockies rookie Michael Toblia out of 399 Prism refractor Taylor Ward Angels and refractor wonder Franco Rookie auto again for the Reds is Spencer steer second one for the Reds refractor Evan Longoria No practices, huh? Must be a relief every night, man Raza Prism rookie is Cal Mitchell for the Pirates refractor Joey Votto Best day of the week Mondays everybody knows that and prism pete Alonso with a refractor of jazz cheslem on the back Let's do a recap That mixer Adds some bangers All right, dude. We did it. We did have a relic of judge jersey Pretty nice there for the Yankees two pinstripes on it So 399 was a Toblia two 350 Bubba Thompson Tatis and Taylor Ward to 199 Melendez Mullins Ryan Nelson to 150 Nelson Velazquez to 99 Mackenzie Gore a Titans of Adley Rushman on the green To 99 Tovar as well That's nice gold wave al-tube to 50 orange Jimenez 25 von Grissom radiating rookie's braves Dean west if I say your name out loud, you're gonna the FBI is gonna be on you Got base autos of spencer steer will Benson refractor freeman auto Yeah, josh Lester lending sosa david hensley spencer steer again Nelson Velazquez g1 bay purple speckle. Nolan jones at 299 blue ray wave tommy henry to 150 true blue swagger to 150 Vladdy on the ultraviolet all starts the 99 autograph for the blue jays Gold rookie auto Esteban keros the 50 for the cubs orange wave rookie auto mariners josh lennard jack larson 25 a brilliant plate rookie auto one-of-one Esteban keros for the cubs And a green ultraviolet all starts adley rushman to 99 for the Orioles That'll do it. Thanks everybody moving on to more baseball


Hey everyone, welcome to Alchemy Stars. We're going to take a look at Barton Deft Blades. Before I tried his kit out, I was thinking, who will he replace? Will he replace Arya eventually? Will he replace Yao? Who else? Lenore? So all these detonators that we are looking at for the second detonator spot. But after I was able to test him out, it got me thinking. He could eventually replace Hero, but not in a way that you're thinking. So let's first check out my Barton and see how I built him so far. So he is at level 80, obviously at ascension 3, break through, he's going to go through, break through guys, the ones that are necessary. So of course, you get this start. Initially, I would recommend that you get him another copy because this one gains a 20 loan energy at the beginning of each battle. This gives him preemptive strike. If you don't have this, you still have to save up for those 20 loan energy and it would probably take you around one to two rounds. So if you want immediate activation of his active skill, you definitely need to break through three him. Okay, most importantly, next is going to be increase max HP defense. And the last one is active skill enhancement immediately gains five loan energy after using active skill. So this adds to his total not really a must. I think breakthrough three is a must. This one is going to give him more sustained more sustained loan state in a way because of this gain. So let us go back and see I have him at infinity five. I don't have much. Let's go through his skills. Okay, starting off with his equipment skill. Normal attacks can target enemies on a diagonal tile. So it gives him additional attack, which is for me right now for detonators. I think it's a must. The diagonal tile attack is additional attack for them. And while in the loan state, which we will talk about later, when we go to the active skill, normal attacks deal damage to one surrounding cluster. So this widens his damage, non target tiles receive 40% of normal damage. So splash damage is the key of this aurorian. Now let's go through, let's skip chain combo and go to active skill. So his acting skill is dual blade advent consumes 20 load energy. That is why I mentioned a while ago that you have to break through three him at least for you to enjoy him, enjoy using him during the start of the battle when the when entering the battle gains 20 points. Barton depth plays again one point with every normal attack. So the breakthrough three gives him the 20 points. And for every normal attack gives him additional points to store for the loan state. Okay, to enter loan state in the current round, increasing chain combo range and damage. So when you activate the skill, it increases chain combo damage and the range of his attack is is is rather longer by a tile. So to say when you see the overaction later. So at the end of the round, if the remaining loan energy, at the end of the round is no less, not less than 10, loan energy will be halved. So if it's more than 10, it's going to be halved. So that is why you keep you have to keep on generating your loan energy for him to do his active skill, reducing at least at least 10 points and retain loan state in the next round. So he provides a lot of buffs for himself, a lot of attack opportunities, a lot of that blade is pretty much very, very long. So as you can see, long reach for him. He reminds me of a character I used in in Dota before, the one that wields two long blades like that he only uses one. But again, let's go back. Okay, chain combo Panthers prowl. It's panther disappeared, but he has a panther by the way. Normal state, this is going to be more on him gaining energy. So to 1813. So this is going to gain him three, four and five. And the damage increases as well from 160 to 180 up on the 13 chain combo. And the damage also gets bigger. As you can see here, so normal state generation of loan energy more on little damages. But in the loan state, as you can see, damage increases tremendously from 170, no 190 170 190 and 210. And also the area increases as well. So again, he's built for tight, tight. If you have enemies in a tight group, he's really going to shine with that one really built for tremendous melee damage, multiple enemies, big enemies included. So four tile bosses, if they are a bunch and if they're bunching up, then that is going to be more beneficial for him for his fighting style. Earlier I mentioned, is he heroes replacement? At this point, only number one, take note, if you don't have hero, then definitely he's going to be your primary detonator out of the rest. Number two, he's going to be your your primary detonator only if you are looking for more DPS, especially for large mob. So those are the only two reasons why you should choose him over, over hero. The rest of overall hero is still the best utility conversion damage, range damage in a way because you get she gets to place tiles that deal x damage. And I personally would think that hero would fit almost all of the stages that you bring. Him, he could fit well as your secondary detonator. That is why Arya Stepaside, Yao Stepaside, Lenore Stepaside, he is going to definitely be your secondary, secondary detonator. So again, very powerful and let's see how he does in actual combat. Okay, before we go to the actual combat, let's go through your ideal force formation. If you want more bang for your buck, this is going to be it. It's still going to be hero here, then Barton here. Lenore, I slotted her here because if you wanted additional damage again, Lenore is also handy in terms of dealing far away damage and tons of damage as well. The three of them will really wreak havoc, but if you don't want to carry Lenore and if you don't have her, let me just go to, Luis can be good because of time stoofer chain combo. So Arya might be obsolete already. There will come a time that she will be obsolete, but I think she is already because of Barton. Also, Midgard is also an option there as an additional sniper. But yes, so if you need the healer, of course you need Uriah there. So ideal team and let's go to a little bit of action for Spire. Spire level 60. Is this it? Yeah, green, right? Emerald Spire. I challenge this one. So this is the team that we're going to be bringing. So Barton as initial hero as secondary so that we can, I'm trying to get the hero's spelling correct. I might botch it up. Okay, so double I for hero, sorry. Okay, so this is the team that I'm bringing. So two converters, one healer to clear the stage. So let's try this out. I already had a run for the stage. I think he's going to be perfect for enemies that are bunched up, especially if he's going to be in waves. Waves are going to be perfect for this guy, for Barton deathblades. I can't express my disbelief in how much damage he did and hopefully if this loads quicker then we can play this game and okay, so here we are. So as you can see here, this is going to be three waves. I'm not going to finish all three waves. I'm just going to take this. I'm just going to show an example on how big of a damage he has. So let's do some tile conversions first and let's see where we could attack the enemy. Probably going to be doing this up until wave two later. So there you go. Okay, then hero for additional tiles. Hero's tile conversion is actually pretty much OP in my opinion for the value that she brings. She really compliments Barton as well. So let's, we're going to put this here. Okay, I'm just going to put this here and here. So I want to show you guys how far his reach is, how terrific his damage is. And as you can see here, you can use it because it's a 20 already at the start. That is why you need to break through three this guy, no matter what. We're just doing this. Let's take a look how big. Again, if you could, oh my God, 16,000 times three. Did you see that for a chain combo? So again, only one pass for wave one, then they're done. So let's try to just ease this out and see how he does solo. Okay, see how big of a damage he does. Ow. Again, again, if enemies are bunched up, this would be crazy, crazy, crazy good in terms of damage. So hopefully we could see enemies bunched up in a while. I'm just gonna be doing this. See there, see there, see the range. So you're gonna have to go through that mother who is keep on laying eggs here. So pass through them both and let's see. Anchor is hero. What an anchor. Can't reach that far. Definitely, he is really one of your best detonators and one I think that you should invest in right now, especially if you're done, if you don't have plans of finishing off Reinhardt and if you're content with her being at Breakthrough 3 as well, you might as well invest on this guy if you really need another detonator for your horse team. So that's it. Just want to demo how much damage he does and how terrific the damage looks. So that is it, guys. So I'll give you my final thoughts in a while. Okay, so what do I think of this guy? He's a must-get. Once you're done with Reinhardt, definitely you have to get him. What I say done with Reinhardt is if you've got Reinhardt at max Breakthrough 3, definitely if you have a lot, then go for the full Reinhardt. If you don't have a lot, then go for this guy. What I mean a lot is summoning currency. He's definitely one to go for, especially if you don't have a primary detonator right now for Forest, and he's going to replace all of your secondary detonators, definitely. He doesn't replace Hero right now, but in terms of DPS, he is going to be your primary detonator if you need DPS only. Okay, so again, thank you guys for staying this far. So if you're still here, please support my channel. This will help me a lot. This will help my channel a lot, and this will help the channel grow a lot.  This is The Warden. Happy weekend, and I'm out of here.


So, thank you for the introduction. We are going to talk about AI, of course, and I am going to make a lot of questions during the talk. So the first thing I wanted to, with these presentations, to always start with the end of the world is coming. And this is typical. So, as you can see here in this video, there are a lot of companies that in the next 10 years will disappear, and a lot of people is replaced by AI, so more or less is this. The end of the world is coming, as you can see in all the messages. What is the conclusion of this? Why are we explaining this? As you can see here, right now, seven out of the ten biggest companies in the world are technological companies. And this could be impressive, but I think that it is even more relevant that most or all of these companies didn't exist 15 years ago. And I want to emphasize one thing. How do we call these companies? Technological companies. They are companies that, just with technology, are disrupting different markets. For example, when you talk about or you think about Amazon, most of you are thinking about a retail company. If you ask, or when in any interview they ask Jeff Bezos, what is Amazon? He always say the same, Amazon is a technological company. In fact, it's a company that is disrupting different markets with technology. They started with books, retail, now they are in the media sector, and they are making fantastic series, movies, so really they are disrupting different sectors with technology. Carmen yesterday pointed out that in England, I was last week in England, and in all the TV news, it was Google entered in the banking in the financial sector. Why? Because now you can open a bank account with Citibank with your Google account. So they are jumping from sector to sector, disrupting with technology. But the question is, how are they using technology to have such a breakthrough, to have this edge in any sector they jump? This is one of the questions I want to answer during this talk. So more or less, this is the situation for any traditional company. Traditional company, when I am saying traditional company, I'm not meaning bad companies. Traditional companies are very good companies. Traditional companies are companies that have been winning money for the last 20, 30, 40 years, and that is not easy. So they are very good companies, but they have history. And because they have history, they have this technology. So if you are thinking about a bank, retailer, telecom, utility companies, normally they have technologies from three generations. Banks they have the core banking in an IBM host, in a mainframe. This is technology from the 70s, the 80s. So we are talking here about 40 years old technology. Then they are also using applications with Java, Oracle data stores, when Internet was born, the 80s, the 90s. So you have their combination. You have very old one, old one, and then came new generation. Distributed technologies, small computers, small machines working together. And traditional companies, because they have history, add this technology to the other two. So what is the situation of a traditional company? The situation is that they have three generations. It is very complex, the cost is very high, and they are very slow. How many of you are working in traditional companies or with a combination of these, any of these three or two generations? Okay. I was raising my hand just to emphasize or to, for empathy, but of course I am working in the last one. Well, this is the normal. So technology companies, what are they using? They were born 10 years ago, they are only using the third one. So what is the edge? The edge is this, 10x, that is the edge. They are 10 times more competitive in any sector, or they should have this edge, in any sector they jump, 10 times better. Not 10%, 30%, 50%, 10 times better. That is the reason Google goes to the financial sector. Why? Because they know they are going to have this edge, 10x, and how are we helping traditional companies? How are we helping you? With technology, right? Well, that is wrong. With technology, we are not winning and you are not winning. And you are not going to win. It is impossible. Why? Because you are trying to compete with technology versus against technological companies. And what is the edge? This is the edge. How many tier one experts in technology do you have in your company? I mean the best ones worldwide, best engineers. Of course you are the best engineers, that is the reason you are here. But how many, how much do you have in your company? 10? Five? None? 100? 100 is a lot. Even for the biggest banks, biggest utility companies, telecom, whatever, 100 is a lot. How many tier one engineers, technical guys, has a technological company? Amazon, Netflix, Google, in the thousands. More or less any of the companies I mentioned, they have more than 50,000 tier one engineers. So do you think in this playground in technology you are going to beat them or to recover some of the market share you have lost or the one that you are going to lose? No way. So, Sun Thu, choose your playground. You want to win any battle, choose the playground. This is what I am going to try to explain. So we have started, as I said, the end of the world is coming and you don't have hope. But now we are going to see that, yes, there is light at the end of the tunnel, so how? Well, for us to change this situation, there are three disruptions that you have to achieve. The first one comes with something that normally, in this, in big things, to think about the first one is very easy, very normal, data. But any data is good enough to recover some of this market share? No. What is the main problem in our opinion, this trusted data? Normally the data you have is untrusted data. So this is the classical definition of trusted data. When we think about trusted data, normally we are thinking about data with quality. So it is more or less just the first word, clean data, data with quality. That is not trusted data. That is clean data, but it is not trusted. Trusted data means that things like privacy or clear access guidelines goes with the data. It doesn't matter where the data is. So data in a relational data store, in a SQL data store, just with metadata and with access control list with security, that is not trusted data. As soon as you move it, and I import that into a still spreadsheet, anyone can access. So what is the clear access guideline? That is not trusted data. I can do whatever I want with that data. So trusted data is something really peculiar. With this definition, how many of you have or are using trusted data in your company? Really trusted data. How many? Okay? I should say yes, but so-so. How many of you have untrusted data, bad quality, bad security, and so on? Well, I emphasize empathy. So this is the normal situation, but this is the approach to the market. If you were yesterday in the Google talk, the first one in the morning, we were talking there about applications development, data analytics, AI. So application development. This is the first part. The top, you can see there, operational applications. When you build an application, what is the focus? The code, the programming, or the data that you are generating? The programming, being honest. Data is just, we will put it in any SQL data store. The data is there, and I focus programming the code, because this is what I really like, because I am a programmer. So because the focus is not data, what is the situation when we build an application? All that is generating untrusted data, because we don't care. What we really care is the code, and because that is untrusted data, well, I would say that it is very, very untrusted data. Not just access guidelines or security, but the quality, even the quality is very bad, and the data is not consistent. Why? Because if I develop this application, maybe I change the address of a customer, I do not synchronize the address with this other application that also has the address. So the quality is bad, the data is not consistent, very untrusted data. How many of you are applications developers? You are programming in Java, .NET, whatever. And data analytics, scientists, data engineers, how many of you are working? Okay. The first conclusion is there are a lot of people that are not working.  So what was the solution? We invented analytics. So we move data from those untrusted sources of data to analytics, and we clean it, security, and we can do things, because it is more trusted. So more or less this is the situation. But in this situation, because of this legacy technology I explained at the beginning, this application development that do not care about data, what really the effect of this towards or division untrusted data is that to use AI, traditional companies are very slow. Because you have to move the data from the sources that are untrusted to data analytics, clean it, do a lot of things. Then you are able to do the AI model, and then you have to move the AI model to the applications that are going to get the benefits from that AI model. So we are super slow, very expensive, and 50% of the AI models that you will create never will be used in the business applications. Because it is difficult to integrate that back. What are doing the technological companies? What is the difference? And I want really, if you are going to just remember one message, this is the message. What they are doing, and if you think about any of these seven companies is generating and collecting a lot of data, but not any type of data, trusted data. Good quality, and with this data, they can do things. They are doing things. They use it massively. So they collect trusted data, and they use it to rule and to have to be the brain of any business process of these companies, Netflix. If I am watching a series or a movie, they will use it to recommend another one, Google. If I click any advertisement, they will continue showing tennis things or golf things because it was about golf or tennis. So they learned. So they are collecting trusted data and using inside their applications for the applications to become smarter. So this is the real difference.  So every second or every time we use any of these companies, they become smarter. Your normal traditional bank or electricity company, when you are checking the bill or you are doing something with the bank mobile application, are they becoming smarter? Are they learning something about you? No. In fact, that application is not generating trusted data with your interaction. So this is a huge difference. You cannot compete with a company that is smarter by the second, while you are not as smart or better. So this is the difference. So how can we solve it? The first approach is, okay, let's do a big bang. Let's get rid of all that technology, all those business applications, refactor, do it with AI inside and generating trusted data. Hooray. Who want to do that? No one. Very risky, long time, a lot of cost. So the approach in the market right now is what we call a trusted data fabric. The first disruption for a trusted data fabric is this one. Finally you will hear a lot about this virtualization because your data is not trusted. All the data that you have in those business applications is generated data that is not trusted with virtualization. You can sell, discover all the data that you have generated during the last 20, 30, 40 years, and then you create a data catalog. And in that data catalog, you can start to transform that data from untrusted to trusted. But the first step is to discover that data. I will put an example. When GDPR, GDPR, we should comply with GDPR in continental Europe. And the first challenge was to know where is your customer data. In this mess, the real problem is that you don't know where is customer data. How can you solve or be compliant with GDPR if you don't know where is the customer data? So virtualization, sell, discover the data and with this try to chain or transform data from untrusted to trusted. Because you have transformed that data to trusted, you can do the AI models and with virtualization, you can move the AI models to the legacy applications you have built that will get the benefits for the AI. So this is like a shortcut. When we talk always any product about virtualization, we are talking about something like this. Because your data is a mess, we will virtualize with a data layer in cloud or in private or hybrid, your data to transform that data in something that is useful. So this is the first disruption. Discover your data and make it useful. Okay, we have some benefits. Second disruption. The second disruption is really, really important. For trusted data, to be real trusted data, you need meaning. Does your data has meaning right now? Does it relate to business terms? I will put a very easy example. Have you seen in any table a column with some names, very descriptive names like a column in a table or a table called A023? Is that meaningful? And why we find some in some of the business applications when you are developing and using a SQL data store A023 or whatever? Because normally the projects, when you are in a rush, the first thing that you are going to do is to go to shortcuts and data is the second citizen in the equation. So you are going to put names that are not meaningful. And the metadata is not going to be good. So normally the first problem for trusted data is that your data has no meaning. No business meaning. How are we trying to solve this? We are trying to solve this with people. Is it possible to solve it with people? If you think about something with this, we are trying to move to AI. If we are trying to move to AI, why not to use AI to solve this? How are you solving this with people? For sure you have in your companies, a head of data, chief data officer, chief data owners, chief data stewards, some initiative for data governability. Paco Nathan was talking, a fantastic talk, I recommend everybody to listen to his talk about data governability. It is like a trendy thing and it is like boring. But why everybody, every company is worried about data governability? Because you have to put business meaning to your data. Well, with people that is not possible or it's very, very difficult and it is not cost effective. How are you solving this? What we are trying there is to help to do that with AI. So what is the point here? As you can see there in the bottom, in your companies, you have a lot of people, data stewards, data owners, chief data officers, doing the technical dictionaries, technical dictionaries, and then business glossaries, the business terms. And then these people, some way, they are matching the business terms with the data they discovered. What is the cardinality of this problem? More or less a big company, traditional company, have something the technical dictionaries like between 100 data store and 1,000, 10 tables and 100, 10 columns and 100 columns. So between 1 million columns and 10 million columns, there. How many business terms do you have? You are in financial, telecom, utility, whatever, between 20,000 business terms and 50,000. You cannot match 20,000 business terms with 1 million columns with people. People only can manage five factors, very smart people. Normally it is between three and four. When we are talking about data governability, we have to manage something between 20 and 30 factors. So with people, it will take a lot of time, long time, very slow, high cost, and when you finish, because the data has changed, you have to start again. So it is not sustainable. That's it. Sound familiar to you? Are you doing something like this and it's taking years? Well, I think yes. So how to solve it, how to help? Well you want to move to AI, use AI to solve the problem. So the solution was with the business terms, you create ontologies. Ontologies is a formal definition of a business term. What is the most universal business term? Customer. So customer, the formal definition, you have attributes. The name, the address, the postal code, all those are attributes. And for the postal codes, you have quality rules. Five digits and the digits have to be numbers. So what we are doing with the ontologies is doing a vector that is mapping the quality rules of an ontology. With this vector, you can put this vector with the data you have self-discovered in this hybrid virtualization, because in the hybrid virtualization, you already have mapped all your data and trusted and trusted. All your data is mapped here. So you put the quality vector here, the data that is closed. You have a probability for that data to be a postal code. So we are doing an automatic matching between business terms and ontologies with the data you have. And with this, with AI, we are giving meaning to your data. And to give meaning to your data is the first step to transform that data from untrusted to trusted. Why? When you were thinking, we were talking about trusted data, I was saying it is not only quality rules, but quality rules is a good step. So once you know that this data is postal code, you can apply the quality rules, give a scoring, and then also solve some of the quality problems this data has. So you can transform the data once the data has meaning. This column or table that was A023, now it is not A023, it is postal codes. You apply quality rules and you clean it. And then you apply the access security rules for postal codes because you know that A023 are postal codes. So you have clear guidelines about the access of the data. So you can transform data from untrusted to trusted. That is the first step. But in order to do that, you have to give meaning to the data you have. It's the first step. So this is what we are doing. With virtualization, you map the data you have. With ontologies, you match business terms with that data you discover. And once you have assigned a business meaning to the data you have, you can solve most of the problems and transform that data you have been generating for the last 40, 30, 20 years from untrusted to trusted. So fantastic. We have trusted data. We are closer to these technological companies because they really care about data and they are collecting trusted data. OK, we are transforming our history from untrusted to trusted. Is this enough? Of course not. What we were generating here was not only to transform data from untrusted to trusted. It was to generate that business data layer. A business data layer is a data layer that has ontologies in a semantic ontologies. So semantic ontologies are giving meaning to the data and relations. With this business data layer, once you have created that, you can change not only the data you have, but the way you are doing IT, transform your IT. I was at the beginning explaining that when you are building an application, you don't care about data. So in the applications that you are developing, you will generate untrusted data. After saying this, maybe you will try to generate trusted data. But as soon as the project is in a hurry, your data will become untrusted again. So for us, the solution is the applications you develop, the sources of the data, has to generate trusted data. And what is the situation in the market? The situation in the market, sorry, is this one. Programming and code has evolved like this. Most of you are working object oriented or functional programming. Object oriented and functional programming has more business meaning. But you don't care about data, data stores, just programming. But we have moved to business meaning. What about data? In data, we are there. Still, we are accessing data, cleaning data. We are more or less in the zeros and ones. So what is the evolution for data in the companies? What should be the evolution? Objects and business meaning. Objects and business meaning in data is a semantic ontology layer. With ontologies, you are giving meaning and relations. So this is the normal evolution of data. But we are way behind. You are using data in the zeros and ones. Row data, cleaning data, without meaning. That should evolve. So how to evolve really fast and assure that that evolution will help with the business data layer? Once you have created the business data layer, semantic ontology layer with business meaning, you can develop your applications with the business data layer. So yesterday in the Google talk, just talking about AI, the definition, the easiest definition for AI should be this one. Solve this goal, maybe risk scoring, with this data set. Because we are working with zeros and ones in data, the current tools and technology are awful and we have to do a lot of things. Clean the data, give meaning to the data, filter selection. And then after that, we can apply algorithms. Because we are working with zeros and ones. So it is not as simple as this statement. What happen if you are using a trusted data fabric? With trusted data fabric, you have a business data layer. Business meaningful layer with semantic ontologies. So the automated machine learning tools can do just that. Let's see it working. This is an example in which we are going to use the business data layer with business meaning and something called automated machine learning. Automated machine learning is to generate AI models with minimum human intervention. So in reality, what we are doing is this. Solve this goal with this data set. So is this possible right now? The technology is possible, is it able to do that? Yes, it is. The first thing, we are not working with your technical data with this column on our table, A023. We are working with a data set that has business meaning and ontology relations. So because it has business meaning, the automatic machine learning can see the relations between data and do everything that a scientist data engineer is normally doing in an automated way. So this is the challenge. With a business data layer and automated machine learning, we can beat the work of any scientist data engineer working for weeks in five minutes. We will improve your model. And then some of you are thinking, okay, I am unemployed. No, we will help to accelerate your work and then you can fine tune. But here what we are seeing is just that. Collecting the data, data with meaning, making feature selections. This is some of the things that is taking weeks for the scientist data engineers. Here we are doing automatically feature selection. The pink ones are feature combinations. And with all this, the system will apply 200 algorithms to see the best combination of features with algorithms to get the best result. Why can't we do that? Because the data set has meaning. And the data is trusted. So we can do it in five minutes and we can improve the work of any person. So this is not a concept. This is not, okay, we build the business data layer. It has meaning, no. We build the business data layer and we use it. Because with the ontology's relations, any machine learning or deep learning or AI model that I will build will be better. And we can automate most of the work. So what is the difference between doing this with people and doing that with AI in a trusted data fabric? The trusted data fabric is not giving meaning and business terms just to document your data. Most of the data governability initiatives in the market are the most expensive projects for documentation. Because they will document data, but you cannot use it, the business terms. So what is the benefit? It is just a shining object you are trying to achieve. What we are talking about is, build a business data layer, give meaning and use it. So your workflows, your data intelligence model, your AI, you will not build those ones with the technical data. Oops. You will not build those ones with the technical data, you will build those ones with the business data layer.  I will try to jump to the second or the third disruption. So now you have a business data layer giving meaning and ontologies, semantic ontologies with relations about your data. And then you can change the way you develop applications, not only data intelligence models, applications. So how you could build applications? Well, as you can see, it changed. You can use different tools, your tools, but you will use the business data layer as semantic ontologies with relations to build those applications. So I know you like to program. I like, you like to program in Java or whatever. You don't care a lot about data. Okay, the business data layer will take care. In fact, most of you right now you are developing distributed applications. So you are using containers, microservices, and this is super cool, but that is very expensive and it will take long time to build a distributed application is really complex. So with the business data layer, everything about the domain of that new application, the data with meaning and the access to the data is solved by the business data layer. And because it has the ontologies and the meaning, every time you generate a data like address, the business data layer will apply the quality rules automatically. I will repeat this. You don't have to program the quality rules. Also because you don't like it. So the business data layer will execute in any generation of data, because we know that this data you are generating is the address or the postal code or the name or whatever. The business data layer has the meaning, the quality rules and will apply that in the execution. So it will force any application that you develop to generate trusted data. So with this hybrid virtualization building a business data layer, you are able to transfer your untrusted data to trusted data and the applications that you built using the business data layer will generate trusted data. And it doesn't matter you are doing something and generating an awful code and it is with bad quality. Business data layer will not allow that. That is the reason it has a middleware and it will, with the business term, apply the quality rules or the access control list or the security and all that metadata will move with the data. Because maybe you are generating the postal code there in that application and in other application. But because the business data layer map that data with postal code, the access control list, the security, the quality rules will go with the data. It doesn't matter where the data is. Even if the data is in a STL spreadsheet because the business data layer knows that that is a postal code, it will know who can access that data. And this is the only way to have trusted data. There is no other way because if not the security, the meaning, the quality, once you move the data, they are lost. So virtualization, business meaning, mapping all the data, it doesn't matter where it is created or where you move it, that is the only way to have trusted data in a sustainable way. So when you see this, okay, to do AI, it was something close to this business data layer, how to build an application? Is this a concept? No, we can do it. So here, this is a real application, digital onboarding. And you are generating a lot of components, transactional and so on because you are using the business data layer. The development cost for five countries is only the development cost for one country because once you develop the application, the business data layer will match the data of the other countries. So a single development can be reused in five different countries. So reusability with a business data layer is something you can achieve. And the same time to market, you can go five times faster, everything change with this. Why? Because the business data layer decoupled your development from the technical data stores, countries or business units you are using. And it is the only way to really reuse components or complete applications. So this is one video, but I will go fast in which the business data layer is generating the data objects, the microservices, the access to the data. And once you access any data or create any data, it apply the data quality rules. It generates the business domains. Anyone that is working with distributed applications, microservices, you know how important are the business domains and these best practices. So it is generating everything automatically and it is applying at the end the quality rules. And you don't have to care about the quality rules because the system knows that this data is postal codes, the one that you're generating and will apply the quality rules for postal codes. So you will generate trusted data, although maybe you don't want, it will force to do it. So this is a real example for one big bank. They wanted to develop a product, global product for five countries. 41 million 36 months. Do we have three years to launch a product to the market? No. So with a trusted data fabric, they develop that product for one country and the same development was used in the other four countries. Only they have to change it to regulation. So it was eight millions and more or less nine months. And as you can see, when you have meaning and trusted data, everything change and because the application is generating trusted data, you can use AI just as the technological companies. So with this, how are we changing this? This is your situation with trusted data fabric you have business meaning. So who can help your business experts? Your business experts can have an active role in IT. In fact, with automated machine learning and the business data layer, business meaningful data layer, they can do even the data intelligence models, the AI models, they can help you to do applications. So you move to IT for business. Your business experts will have this active role in IT and what we are getting is this, change the playground, just what I explained at the beginning. In the technological playground, can you win? No way. In the business playground, how many business experts do you have? Hundreds, thousands. With a business data layer, they can have an active role in IT, evolve IT exponentially and in that playground, you can win and you will recover some of the market share you are losing. So this is the way. This already has been done in B2C. Yahoo was managing internet with these folders with people classifying the websites in folders. For example, Ferrari in the folder cars, sport cars, Italian cars with people and then Google say no, no, no. We shall discover the internet websites. We apply AI with Page to Run, Page to Run to classify those websites in an automatic way and then we govern the internet and this is history. So with trusted data fabric, you can do the same for B2B. And all that, okay, we are transforming the way we do data analytics, the way we develop applications, changing and trusted data to trusted data to go to B2. So don't trust us. Do not believe this. We are convinced in 10 years all the companies in your companies, you will build applications and data intelligence models with a trusted data fabric, business data layers, business meaningful data. But you can start to do it that now. So in our booth, you can go and do a component with a business data layer right now with those tools we have seen. This is a video of some of the things just yesterday, some of the people that is here were doing using these tools, business data layer, trusted data fabric. You can choose to create a data intelligence model for an application and just with this, in 10 minutes, you create this component, you launch it and you can reuse it. So these are some of the numbers just in one day. In eight hours, working with a trusted data fabric with a business data layer that has business meaning to the data we have created hundreds of data intelligence components or business applications, applications development, everything in less than 10 minutes. So this is the summary for the first day. 151 assets, components created with the trusted data fabric, 34 companies and the average, I think it was something between 10 and 15 minutes. So don't trust us, please go, use it and see the way you can change your IT because in 10 years, everybody will be working like this and it is again changing. So thanks a lot.