35 Burst results for "Beard"
Project Veritas Founder James O'Keefe Walks Us Through the Day His Apartment Was Raided by the FBI
"The FBI snatches your phone out of your hand. Yeah, what happens after that? They take the phone. Finally, you're gonna behave yourself, et cetera I'm paraphrasing these agents. There were about ten or 12 of them all wearing masks. Westchester county, they had a vest on. It said FBI jackets FBI. It kind of looks like one of those people. 30s and 40s mostly. And finally, you know, they do this search my home for two hours. I have a two bedroom apartment. And they would move me into the one room and search the other room so I couldn't see what they were doing. Is that legal? I don't know. Charlie, this whole thing, this whole thing is illegal. The whole premise is illegal. The attorney general of the United States Merrick Garland put out a memo in July, explicitly prohibiting these search warrants against the press. The New York Times Michael Schmidt, who's been writing articles about us every week, even he said, this is a really aggressive move for the FBI to execute a search warrant against the media company is the most aggressive thing they could possibly do. And there are laws against it. And so he's not a journalist. Well, the privacy protection act doesn't make a distinction whether you're considered a journalist or not. You can't do this. So this happens, and finally, I'm sitting on my bed, they've searched the whole place for two hours taking stuff. And they make me sign the document. Only my phones left my iPad on my laptop. Very unusual. And finally, that the lead agent is the shorter guy with the scruffy beard. I think his name is Tony. He looks at me and he says, mister O'Keefe, do you have any questions? And I'm sitting there. I guess I'm in a state of what might be considered shock. Not yet fully in shock, just like this is like a dream sequence. I'm still dreaming. I'm still asleep in my bed at this. I can not believe that I'm going through this. And there's like a couple agents hovering over me the whole time. And this lead agent Tony says you have any questions. And I almost said this Charlie, I did not say this because experience has taught me, don't speak to federal agents without an attorney present. But I almost looked right into his I looked right into this guy's eyes. I guess he could hear me say it even though I didn't mouth the words. And I said, you ever raid a reporter song before Tony? But I did not say those words. And I actually believe that half the people in my apartment, these FBI agents, maybe maybe half of them were actually fans of project veritas. And maybe they're being told what to do. Maybe they even they go, what are we doing? What is this country coming
The Danger of Throwing Out God's Order With Sexual Anarchy
"There's this new article you probably saw it where this person who is a woman who thinks that she's a man gives birth and says that it's the first man ever to give birth. Did you see this story? It was almost nothing. I saw some images from it. It was horrific. And deeply disturbing. I showed my boys that actually. And I have a ten year old and a 13 year old and they were equal equally horrified, if not more horrified. As they should, they should be as all normal sane people would be when a woman takes so many is juiced up with so much testosterone that she has a beard and then pretends she's a man and pretends she's having a male baby as men. You know, yeah, so sexual anarchy, this chapter in the book that kills basically we go through the town of towns of sodom and gamora, which are historical cities. You can read that in Eric and Texas book about atheism. But the idea is the names of the town, one is named place of burning, the other one is playing named essentially in place of drowning. Gamora, sodomy gamora. These are both good things. They're blessings. Fire and water are blessings. But when fire gets out of the fireplace, it spreads throughout the community or house and kills everyone. When water leaves the banks and boundaries that it's God's intended natural place for it, we all drown and die. And the idea is sexuality as a gift from God that he's given us a dangerous gift because if it escapes the boundaries that God gave us, then it consumes the entire society and we all die. How do we die well? I mean, the real simple way is when there's only men with men, you don't have any more children. I mean, that's a really easy way to end a society. I mean, it's not doesn't take a brain sciences to figure that out. It doesn't take a brain scientist to know that there's not gonna be like a host of surrogates, free will surrogates just having babies for strangers all day long. That's not a reality, right? In their fiction. And so sexual anarchy, I'm throwing out God's order. And when I do that, I think it's a great fun idea. I'm being creative and having fun with my life. I used it. David, you saw how viral that went. Yeah, that was fun. I think you got 50,000 retweets on that phrase. It was trending somewhere because people were so taken back by the phrase. It was beautiful. Yeah, but the idea is God has an order and it's man and woman are joined in marriage forever, and that it becomes incredibly beautiful, deep and complex. If you try to do other things with sexuality outside of that very simple order, it's going to go poorly and it's going to continue to
Doug Giles Tells Us About His Latest Book 'Psalms of War'
"Back. I'm talking to none other than Doug Giles, GI Ellie S he has a new book out called sums of war. There it is, psalms of war with a picture of David in a sling, and who created that picture, Doug Giles. Yeah, man, I did. And a great pilot for an incredible carrier. I won't mention their names. Because they're in the throes of some legal battles over a forced jab. But anywho, he bought the original painting of king David. This is all young whippersnapper David as a teenager, queueing up to put a big hole in Goliath's forehead as a teenager Eric doing what men should do, but all the men are scared. Yeah. They're lining the rim of the valley of ela and they're afraid to confront Goliath because they see a monster that's too big to kill. And David saw a guy who's too big to miss. So, yeah, I painted that. And throughout the book, I've got 30 different paintings. And I've done some incredible stuff on the biblical bad boys of the scripture that a lot of people when they think, man, when they think about Jesus or the apostles or the prophets, they think that they're just bearded ladies. And these guys were rough cussing fishermen that were hardy that they would stare down monsters had stare down pharaoh. And they took all kinds of persecutions and beatings. And I tried to through my art depict them as dudes instead of these pale skin little indoor boys who drink. And or boys I've never heard that before. That is
Editor Joel Berry Describes His Comedy Influences
"Folks I am talking to Joel berry not to be confused with crunch berry or really any berry, Joel berry you're your own man, and you grew that beard of your own volition. Did you grunt it out in hopes of landing a gig with the Babylon bee? Because I know that if they see an unbearded youth walk in, they just think like he's probably not reforms enough for us, right? Yeah. Well, I was hired and I started reading spurgeon and like the next morning, it just was incredible. I'm going a beard virtually all the time. But I just shave it off before anybody notices. But I want you to know that it's there. You know, it's happening, basically. It's happening as much as your beard is happening. It's growing about the same rate. See that sometimes. I think you should the next few years. If you take certain vitamins, you could like grunt it out in four days. It's unbelievable. Okay, so here's my question for you. When you were growing up, like ten minutes ago, who were your heroes? Who were your comedy heroes? Is there anything that influenced you or what's your comedy thing? Well, you know it came a little bit later in life. I'll be honest. I was homeschooled very sheltered. You know, I grew up in the world where you know you don't watch The Simpsons, you know, you stay away from The Simpsons. So I had to kind of play catch up later on. But I want to know what level are we talking? It's one thing to avoid The Simpsons. It's another thing to turn your own butter. Like where were you on that spectrum? You were maybe a step above churning our own butter. We were pretty long Jean skirts on the ladies. Oh yes. And like a whole Holly hobby kind of aesthetic? Yeah. So those early Apple on B jokes where we would talk about the Sports Illustrated swimsuit edition, introducing its first baptist supermodel in the long Jean skirt. Those jokes were also too good. It's too good. So yeah, so what did so when did you I mean, was it reading the onion? What was it? What were you reading that made you think I want to do this? Unless it was the B itself. Yeah, it was the B itself, you know? I think the bee was originally inspired by what the onion did. Our founder Adam Ford, he read an onion headline shortly after the Alberta fell decision when they redefine the meaning of marriage at the Supreme Court. And it was something to the effect of forced Supreme Court Justices suddenly realized that they will be the villains in an upcoming Oscar winning movie. You know? And that's a pretty good headline, right? Yeah, it's very good. And I think Adam at that point, he read that. And even though he vehemently disagreed with the point of view of the onion, he had to respect the joke. Why aren't we doing
How Joel Berry Began Writing for 'The Babylon Bee'
"Joel berry, my question to you is, how did you get into writing comedy for the Babylon B? You're very young. And yet you have a mustache and beard, so you're not that young. Yeah, it's an interesting story. I was in supply chain logistics sales for ten years. That alone and hilarious. Yeah, thank God, I'm not doing that today with all that's going on, but I wrote some things on the side. I had a little blog. I had a kind of a podcast that I did in my part time. And that was it. You know, I don't have any background in comedy or professional writing. I just was a fan. I started writing for the B on the side and my spare time. And they took me on as an employee about two years ago and to this point now I'm the managing editor of the site. So I don't know. Yeah. Like anybody shows up and they just make you managing editor. No, you know what? What I find funny is that I've written a lot of comedy in humor and I've written a lot of children's books and those are two genres really. Where most people think because children's books are for kids and they're simple, like they could write children's books. And most people because they laugh at jokes, think they could write humor. And actually, I think the two hardest things to write are children's books and humor. If you do it right, basically, because there's a lot of bad children's books, but the idea that you were a fan of the Babylon bee and then suddenly were actually able to do what they do and to become a part of this institution. That's pretty amazing, seriously. I mean, it's just, you know, you can't you can teach a lot of things. But you can't teach
Delta Air Lines launches facial recognition checks
"Delta airlines is piloting a quicker way to board planes with digital facial recognition the pilot program starts in Atlanta delta's Byron Merritt says you will need a TSA precheck membership and the fly delta app you move through the process of the check yeah through our the TSA experience and all of those have been enabled through through facial recognition ID checks are as simple as looking into a camera and it's really that quick Gregory forms of delta says just like the human brain facial recognition will pick up changes in facial features at some point there's a break a confidence level it says okay even though they've grown a beard even though they've run their hair out that's still my friend that I know if all goes as planned customers will be able to travel from curb to gate completely hands and device free I'm a Donahue
Cavallo comes out in a big statement before A-League season
"A star on Australia's Adelaide United did something rare in soccer or in men's sports around the world I'm just calling I'm a football and I'm proud to be gay his team released a video of the twenty one year old camallo says he felt the need to hide himself until now tied trying to perform at the best of your ability and to leave this double life go follow said he was worried people would treat him differently once they knew he was gay the response and support I have received is an immense at starting to make me think that why have I been hi this bid into sidelong is coach Carl beard praised Cavallo for his courage hopefully that happens the more doors for more pies and and more people that have gone through the same struggles is Josh camallo season in Australia kicks off next month I bet Donahue
"Audience of One" Bruce Baum Bonus Show # 24 - burst 1
"Bruce bruce. Thanks for joining us today. I hear you have a little funny to share with the crowd. Yes i do it by the way you've got the best saudi important world. This happened on hollywood squares match our and at the end of the show they let you pick one of the celebrities and you come out and whatever the the jackpot is up. You try to win. At this point it was thirty thousand dollars. Wow that was a few ten consecutive letters. Like you might start me and then go from c. tearing you'll get one clue and they have to say the word you're trying to get them to say that they get all ten they win thirty thousand well on this particular day. The guys who ended up winning. He's got a beard and he's got a cat. And he's telling steve al and a couple of other stars backstage that he works for the cia and that he monitors foreign stuff out of turkey. And we're like whoo. That's kind of cool but in the back of your mind you're not supposed to carry you there in the
US, Pakistani officials in strained talks on Afghanistan
"United States and Pakistani officials meet amid a worsening relationship between the two countries as each nation searches for a way forward in Afghanistan under Taliban rule fifty six year state Wendy Sherman is saying a powerful army chief on the foreign minister as well as prime minister Imran Khan well a Pakistani foreign ministry spokesman says close and regular engagement between his country and the US has always been mutually beneficial and effective for stability in South Asia Islamabad has been pressing for greater engagement with the old male old kind of band companies in Kabul while Washington which spent a long beard negotiating peace with the Taliban is still smarting from its chaotic end to twenty years in the country with much about the off them off remaining unclear I'm Charles Taylor this month
How the Wokeness Is Killing the Simple Joy of Sports
"I caught up on this, Uh 30 for 30, ESPN special at the 1986 Mets, the World Series team. Jim is a big Mets fan producer, Jim and he had told me this is such a great show. You got to watch it. So I sat down for four hours. I couldn't turn away the 1986 Mets, and it reminds me I was a Yankees fan, not a Mets fan, but I was very happy to Mets won the 1986 World Series. I was a kid and I was I was 12. I mean, you know, I'm not thinking about solving the world's problems at 12 years old. But I was happy for them. My mom was a Mets fan and that stunning World Series victory, of course with the Bill Buckner era and it's a real shame, because you know, Bill Buckner is such a great player and became You know, it's infamous for that one plane he shouldn't have. He was such a great player throughout his career. I mean, it was just right. Jim Buckner was a great hitter. I mean, if phenomenal player and it's really a shame that a lot of people just associated with that one moment But I watched that upset victory. The Mets come back in the ninth, and I remember just losing my mind being so happy for my mom and she was screaming, jumping up and down and this guy Phil's house we were at it was a friend of Of hers at the time. But Comey thinking How mad I am now. I don't mean like man at the world are mad at you. I mean mad at what the sports world. Dead. I had such special memories and I was a kid sports. I did I, uh, you know those moments. You you all know. I mean, if your guys ladies out there you were at a game with your dad or your mom or whatever, and home run gets hit in the beard gets thrown in the air and everything like that. People throw and popcorn, peanuts, crackerjacks all over the place. Whatever. Everybody's just going nuts together something about the collective energy of the crowd. Sports brings us that. It's a form of entertainment. You don't see that the movie theater, right? I mean, very rarely in a movie theater. You know, you're not watching, like return to the Jedi, where Luke Skywalker throws Darth Vader over the thing, and everybody gets up in cheers. That just doesn't happen. But it happens in sports, right and those moments I missed them. I've been, uh, stranger to sports for the last few years because of the Wokeness and I just don't want to. It's just not my thing. I just can't take it and I'm really mad. Like many of you are There's a special moments to me. I remember every second of that 1986 Mets World Series. I remember there was sitting at the end of the couch on the right side. And this guy Phil's house watching that And that feeling of elation and joy. Why'd you have to take that from us?
Research on Beards, Wads of Gum Wins 2021 Ig Nobel Prizes
"Research on beards and wads of gum are among the winners of a spoof on the Nobel Prize and ignoble goes to researchers at the university of Utah who found out beards don't just make a fashion statement they can protect the man's delicate facial bones from a punch in the face absorbing the force of the punch No faces were actually plunged to determine this a team of navy researchers one for figuring out a cheaper and more effective way to control cockroaches on submarines using the pesticide die klar bos was less expensive and more effective also researchers from a Spanish university determined already chewed gum that has been stuck to the side walk for three months is teaming with nasty bacteria it can be applied for the control of contagious diseases I met Donahue
Remembering Jamaican Producer Lee 'Scratch' Perry
"In a realm where eccentrics are taken for granted. Jamaican musician Lee Scratch Perry was singular. Perry was a hugely influential producer and not just in his home genre, Reggae but in dance, music, hip hop and beyond. Perry died in Jamaica on Sunday at age 85. NPR's Anastasia Sulcus has this appreciation. Lee Perry got his nickname from a song he recorded early in his career chicken Scratch. Good. Someone like chicken scratch. He also called himself the upsetter. It was an apt description on many levels. He had a habit of having acrimonious splits with former mentors and artists he previously championed. You'll never get away from me. I am upset at Perry's own studio Black, Ark. He worked with many of Jamaica's biggest talents. Including junior Mervin, the hep tones, the Congo's and Bob Marley's band. The Whalers. Mr. Brown is a clown rides through town, even thoughtful. Black Ark. Was like a chemistry lab for Perry's sonic experiments. He was a pioneer of dub, underlining the base and adding reverb to create lots of oral space. He also sampled before most people knew the term or the technique used found sounds and even buried microphones underground to get the effect he wanted. Perry's partnership with the Whalers ended badly he secretly sold tapes they'd made with him to another label and kept the money. Years after building his fame studio, Perry reportedly burned it down. He was an impish, erratic presence, often in his later years, sporting neon colored hair and beard and fantastical
The Time Peter the Great Declared War on Facial Hair
"The first man to lose his beard is the commander of the army next up a childhood friend of czar and then all of the nobleman assembled one after the other get their beards chopped off by none other than the czar himself. The men had come out this morning just to welcome their leader home. Peter the great has returned to moscow. After a year long tour of europe he got in last night and so his friends and supporters showed up today to pay their respects. Many of them are boyer's the most important and wealthy members. The russian elite some are religious officials or royal advisers. None of them are expecting peter to pull out a barber's razor and hold it to their throats. This is intimidating. The czar is very tall. Six foot seven. He towers over the assembled bearded. Boyer's peter himself is clean-shaven which is the fashion in europe. And in fact that's why he's doing this. He thinks that the long beards all around him represent the old russia. He wants to ring in the new and so this morning thanks. To peter's razor long beards are falling into the street as the confused. Noblemen look around and see new faces emerging from beneath collective decades of beard. Peter does stop short of shaving. A few faces. The patriarch of the russian orthodox. Church is there and he gets a pass. Beards have a religious significance in russia. A serious one. They're tied to piety and self respect. The apostles wore beards in many depictions. God himself is shown with a beard. Czar ivan the terrible. Put it this way quote to shave. The beard is a sin that the blood of all the martyrs cannot clinton's so as they walk away with their freshly shaved faces. These men know that something deadly serious has occurred.
The Cowboy Bob Mystery
"Morning in may nineteen ninety. One a ten gallon hat wearing sunglasses. Beer-bellied bearded individual exit in nineteen seventy five to pontiac grand prix to enter the american federal bank building in irving texas. The person stepped into the banks lobby and headed towards the counter. Where young female teller was smiling cheerfully. Hello sir the teller said how may help you. The bearded man slipped the teller note. This is a bank robbery at red. Give me your money. No marked bills or dye packs. The stunned teller handed over a stack of cash from her drawer. The robber nodded stuck the money in a satchel and walked out of the bank. A seamless robbery with the perpetrator vanishing into the afternoon. This was the start of the near flawless run of large-scale bank robberies that occurred between nineteen ninety one and nineteen ninety-two they call the robber cowboy bob. Because of the ten gallon hat he always wore eluding cops for years and then after serving time having one more wild ride. This is the legendary tale of dallas bank robber. Cowboy bob. So cowboy bob again. I keep saying that name. It feels comical but it is kind of endearing to was always calm completely unarmed. Polite always almost completely silent. He avoided security cameras. Checked each bill for marks or dye packs. Stipends are those small dye-filled devices that someone in a bank and set off and they stay in the cash and whoever was holding the cash at the time like a bright blood red cowboy. Bob gave the teller a note announcing that this was a robbery and to hand over the cash and would casually the bank placing a new stolen license plate on the back of his pontiac. Every time and drive off the first five times. Bob hit it was masterful so much. So that the fbi who were now trailing him obsessively were driven crazy by how good this bank robber was the beard and the hat and a silence made him really hard to identify and the stolen license plates made him almost impossible to track. He didn't make scenes. He didn't peel out in his getaway car. he didn't attract much attention at all. He was always making me. Start to pull my hair out former agent. Steve powell told texas monthly in two thousand five. How good this thin little dried up cowboy be whipping us. His bad time after time
James Has a Magical Wizard for a Teacher!
"On monday. James and his class met their new teacher. Mr tizard mr tizard wore a brown jacket with patches on his elbows and a neatly clipped. Short beard also wore purple framed glasses and carried a purple ruler in his breast pocket. James thought he seemed nice enough. No close said. Mr tizard arm going to hand each of you a book. Please sit silently. While i do this. However when it got to james mr tizard had run out and there were still five children to go. Who bother said mr tizard. I don't mind sharing. Said james looking at the child sat next to him but then he looked back up at mr tizard and he noticed that the new teacher had five more books in his arms. One of which he placed in front of james later outside james is best friend was talking excitedly about mr tizard. James is friends. Seem to like him when he asked james what he thought. James said I'm not sure something's weird happening in there. It's because he's a new teacher said james's best friend you'll get used to him on tuesday. The class had basketball in the afternoon. James was playing defense trying to stop the attacking team from scoring a basket as the opposition. Plays moved in. James stood his ground and held his hands why to make it harder for the other team. This forced one of the players to stop and shoot over. James's head the ball curved through the air as james pivoted on the spot hoping to catch a rebound instead the ball wedged itself between the hoop and the backboard it was stuck james and his classmates tried to jump knocked the ball free but they were all far too short. What seems to be. The problem said mr tizard approaching from the edge of the court. The ball stock. Everyone chorused just as the ball mysteriously dropped and bounced across the floor. It seems just fine to me. Said mr
Ted Lasso: Lessons on Leadership From a Fictional Character
"I for anyone who has the unfortunate fate of not having watched head lasso yet. What are you even doing people. How would you describe the character of ted lasso. So i think ted so is it shouldn't be a serious character right. This is a college football coach from kansas. Who is going over to coach. Manage in the english premier league. The whole setup feels absurd. Which i think is why the character seems to work so well because this guy is a. He's folksy. he has these things he will say. I mean come on. Sam was more open than the jar peanut butter on my kitchen counter. That's right y'all don't know. I like to keep the peanut butter open. That way whenever i walk back and just stick my finger and yet he has this inner goodness that i think when when he comes across people that they seem to react to you coaching football make. You are a legend for doing something. So i mean it's meno murdy well you know. I've heard that tune before. But here i am still dancing. Ted last. So is the quintessential mid western kindness guy. You know a guy who wants to do well in the world treat other people the right way and just kind of live life with optimism and kindness and all those like grape characteristics that we'd all like to have. Yeah i think it really is his relentless optimism. That wins you over in the show. Is there a particular scene in the series that you think really captures that element of his personality. You know i was thinking about this. In the first episode. He's gone over to england. He's been introduced to the media. He talks to the team. And everybody's obviously it's not going well and then him and coach beard kind of redecorate the office. They put up the john wooden pyramid of success. They put up. All these american touchstones like muhammad ali poster in the miracle on ice poster all in the office. And then roy kent the kind of the you know. The quintessential english footballer. He comes in the office and he calls him ronald mcdonald and i think he uses an expletive and then he leaves the office and ten lasso goes he thinks may now wait. We win them over if he thinks he's mad. Now wait until we win them over.
Dusty Hill, Bassist for Iconic Rock Group ZZ Top, Dies at 72
"Loss in the world of rock and roll. He was the bassist for One of the most popular rock acts of the seventies and eighties. ZZ Tops Dusty Hill has Died. Guitarist Billy Gibbons and drummer Frank Beard made the announcement today on Facebook and said Hill had died in his sleep at his Houston
ZZ Top: Bearded Bassist Dusty Hill Dies in His Sleep at 72
"Bassist dusty hill of ZZ Top has died in his sleep at his home in Houston according to the band marches are a letter with a look at his career dusty hill denouncing lied on a lot of songs but that's one of them that little band from Texas had the same lineup for fifteen years their hits include Gimme all your Lovin sharp dressed man cheap sunglasses in lagrange on top of that hill said in a two thousand one A. P. interviews easy top were barbecue experts you just ask ask any of us in the well tested for you would be more than happy I know it's a sacrifice but I'm here to help I marquees are a lot of
"beard" Discussed on Big Data Beard
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"beard" Discussed on Big Data Beard
"To the big data. Hi everybody this is corey men with another episode of the big data beard on joined by my co host today Kyle Prince and today we wanted to to have a conversation about something sort of interesting, which is technology adoption and the federal government, and candidly as many of us look at technology adoption and the government it's it's a bit paradoxical in that some of the greatest technology innovations. Of all time have come from federal agencies. Yet. So many seem inefficient and slow to adopt modern technology as based on our experiences. But when organizations in the Federal Government adopt technology and drive technology forward, they stand to have one of the most massive macro influences on society and human progresses we can imagine and that's really why we wanted to get an update from our friends at government acquisitions better known as. On. What's going on with the state of a and big data and the US federal government? So for that, I wanted to introduce our guests today we have J. J.. One to start off and give us a quick introduction. Yeah. Hi, So thanks really glad to be here So again, my name's Jay Lamki I'm the president of government acquisitions we like to call ourselves. Gee, I and we are a a federal only solution provider. We've been in business for thirty two years and in those thirty two years. We have done nothing but focus on solving. Our customers largest challenges. So exclusive to the federal government. Very Prim how about you Charlotte Good morning everyone my name is Brim Giovanni I'm the Chief Technology Officer that Gi and in my at all I get to work with the customers understanding technology problems, mission problems, and be able to bring. Real world solutions using some of the best strategic partners we work with and I truly enjoy bringing technology to the solutions and solutions to the market. And is a pretty interesting topic on video excited and the tension about it. Absolute. Well, let's start off with at a high level. I'm curious from your perspective clearly. So you know you've had a lot of experience with with government agencies. What would you say is the general macro state of Avai I'd option in the US federal federal government and their agencies. So I would broad brush strokes I would characterize is there is a real high commitment. From the top down there from the president on down there is a high commitment. To ensuring and reinforcing the importance of how critical it is for the US federal government to lead in A. represents probably our next technical revolution. and as you know through history when there's a large technical revolution that tends to. Have the ability to really upset the balance of power in the world. and. So the federal government has a high commitment to what I call using a I for good China and other not. So friendly nations are spending an awful lot of time and energy trying to ensure an and money trying to ensure that they lead the way in. The federal government is is aggressively trying to make sure that we maintain our lead in this really critical technological shift. Absolutely. Perm for your perspective as a CTO I'm sure you're working with a lot of the innovators. In the federal government what's your? What's your take on the state of AI? Day? Yeah absolutely I mean I would say I have a favorite saying that data is the new oil you know with the federal government they are collecting data at an unprecedented rate and when off the things that drives is good. Quality data saw with so much data. Out there and lot of mission. Outcomes that can be positively influenced I think is absolutely already taken off, but I see that with the power of new technology. Innovations coming from companies like Dell, Invidia and many other of strategic partners we work with the E I is now being taken very seriously and very excited to work with US federal government and helping them with How we can influence the missions. Absolutely. Yeah. We'll trying to have mission outcomes as is clearly key. But it's it's a Lotta, talkin solid rhetoric, which I know happens in politics from time to time but becomes real when when legislation actually gets behind and gets focused on driving adoption I'm curious you know maybe Jay from your perspective, what are some of the the legislative landscape that's happening as you know as a as a directive mission like what she outlined to be using this kind of technology for good you to lead the way as a global force for good house legislation being enacted and what what interesting things are happening in that area to actually make this a real supportable statement ee great question. So I think the first key thing is in twenty nineteen. The White House issued the president's executive order on maintaining American leadership in A. And that really set the framework in underscored the urgency of driving. A. Adoption in the federal government. So It calls for a number of things, but I'll try to highlight a few of them. So one calls for what they call. It promotes the sustained investment in a I R in. D.? to it reduces the barriers to the use of AI technologies. It trains calls for the training of the next generation of American AI researchers and users, and it also calls for developing for each agency. To develop an implement an action plan around Ai. And it actually had a deadline by which they needed to submit their action plan and so that's really key. It also calls for the RND side of each agency to consider a as a street as a strategic priority and to allocate funding a corn accordingly, and so also calls for heavy collaboration with nongovernment entities like academia nonprofits, corporations, and so what we've seen as a result of that in their self talk in the second, about some of the agencies are department set have been stood up to enable that but we're seeing government reach out and collaborate with industry and with researchers research. Universities like never before and I think that's great. So they also established the chief data officer role. So every agency is now in the process of of appointing a chief data officer many already have those roles in place. So then there was a couple of key things on the DOD side. So by the way when we look across adoption right now, think prim and I would both agree that dod in the intelligence community are way ahead of most of the civilian agencies in terms of actual. Adoption of AI. So dod established two key entities right. One is called the Jake, which is the joint artificial intelligence center, and the other is the defense innovation unit or what we call the dia you used to be called the DAX. So the they have totally different roles but are very complementary. So the Jake's role is to really work on transforming the DOD by accelerating the delivery and adoption, of Ai, to achieve mission impact at scale. So their goal is to solve to use a to solve large complex problems that span multiple services and then ensure the services and components have real time access.
"beard" Discussed on Big Data Beard
"Well, it helped me understand when you're next to turn out. There you. Know Kyle you had obviously show you what was your set up like? Yeah the. Other way around the track when you drive just. Disorderly. It is weird. Begin American going from driving on the left side of the vehicle to drive on the right side of the vehicle in Australia to then driving back on the left side of the vehicle. I I told my wife we were driving to the local grocery stores like, wow this is really weird hopping sides of the car so much. So that's weird. Yeah. So my initial start was one monitor and then I moved to a Vr headset that a friend had and I liked it. But I didn't get the granularity that I wanted. So I jumped back to three monitors and that's what I ended up with. So very similar corey however, I did twenty four inch monitors. Easier, on the desk I, do not have a full. Racing Simulation. So it's it's myself in a in an office chair so we'll see how I go there. and. Then I care desks civil see we'll see if I have any issues there or not. But yeah I'm I'm pretty happy with the setup so far you know it's amazing how you can go from work mode to fund mode with this setup. So pretty excited about that the I'm going through the evolution to I started with a laptop earning I racing with the steering wheel and pedals on my you know my work share that has wheel. So every time a break I would go back and then I was convinced by corey to lead to a collapsible race car seat that did collapse on me I used it. Which is always fun. Wasn't designed. Be collapsible. So you didn't have like a racing simulator in the middle of your house all the time. I have. Doing right now I have a in my living room I have my seventy inch TV in my den. Shout Samsung and my racing seat with the pedals wheels and computer in is I'm not gonna be able to use that for for a few months. But I love it. I'm having we're racing. It's good but I have over France over in there like what are you doing? This is a simulators for work. Fifty percent by, but anyway I I think it's interesting though because there's a lot of technologies that. VR And obviously cheap incorporated with this. I never got to used of your stuff Picabo in here a little bit more other than the Grain Larry of the kind of how how is that experience different from the three of the one monitors I think that's a really. Hurting your head for thirty or forty five minutes of racing like eighty sweaty. It's incredible. It's next level. I was using the older VR headset. So Y-, the granularity wasn't there. I was also reading on some forums where he can really kind of. Over clocking computers, you can do that with VR headsets where you can get better granularity. However, I was Kelly. Just a bit lazy on that end of it. But it's it's pretty wild. A couple of complaints I have would just be the weight of it against your cheek bones. Can Get to be a bit heavy after you know an hour of practice or so but man, the immersive -ness of it. It's the second to none. It's it's Super Bowl I think it's definitely the future of of gaming especially when you're gaming or racing in this simulation style whether that's racing or flying or whatever you're doing that you you never feel a Merson do with Vr, headset so I think it's definitely the future. You know maybe maybe the newer headsets if you're GONNA go for it would be the way to go him. Someone get back into a little bit of some of the things that we're doing with an output from a dashboard perspective in West earlier and I think you corey both talked about the slow bit There's this real time aspect in trying to be corrected but also understanding okay. Well, you're doing so many turns race how do you know which turn like how do you connect spunk data with some of the visual stuff? So I think we're doing some really cool things that we're thinking about doing some cool things with youtube. He talk a little bit about what your plans are for that. Yes. So we've managed to put script together, which will link a dashboard with. with where you are on a on a youtube video. So as you're viewing video through the race than. That with the. Because spunk is in an essence time series data link with the the time from from within your data to visualize real time illustration of how the racism fold in. But then not just from that perspective at once you've finished the race in you want her analyze your performance after the fact, then to be able to go into a dashboard and visualize, say your performance versus. The best lap for the race how do you how? How far off the pace where you and you look at that by say speed or your throat Limpopo acceleration where you were with years and RPM which is produced some really interesting statistic by itself just just having to look at that data and how incidents affect people's performances well. So how your Howard a lot where you had incidents how that doesn't competitive analysis well. Yeah, I think that's really cool. I think that does give you the full picture to help reinforce maybe some things you can do in future races or just future driving and as a Boston driver I need all the reinforcement I get 'cause. I am not good I think the term Masol. No there's some other things that we're doing two and one of the themes that we picked up from last share is heart rate and heart monitoring corey.
"beard" Discussed on Big Data Beard
"So obviously, the four of us are still and remain very passionate about spunk and cough and twenty twenty definitely have has a different flavor than years past. So we did want to do something different, but we were challenged last year the to to continue to. Innovate in this world of events leading up to DOT com. So Corey, why don't you tell the audience about the the crazy idea that we had this year? To make it to continue the tradition. Yeah absolutely. So the the trip was a great success that we did last year, we had over a million half impressions on social and the conversations that we had with. The community with smoke executives were awesome and I think everybody left with a lot of excitement and enjoyment from what we did. And so we were thinking through you know, what would we do for twenty twenty and at the beginning of the year we had all kinds of crazy cool ideas of things that we could do to incorporate different ways of traveling and that kind of stuff, and then the pandemic APP Twenty Twenty took a turn for. The worse thing call it whatever you want, but it took it very serious turn, and so we started thinking what could we do virtually that would give us an experience that would accomplish some of the similar goals which would get which was give us a chance to try. Something that really hadn't been spunk before but that thematically it was a line to some of the things that we're seeing you know spunk used for in the real world and so. We landed pretty quickly on something motor sports related because spunk real tight partnership with McLaren this year and the F one teams. and. We thought man what what could we do racing? Wise. We had some really cool ideas of things we could could've done in person motorsports related, which will hold on to the for maybe twenty twenty one when the world returns to some normalcy hopefully. But for this year we thought OK virtual virtual racing. There's been a lot of things done with spunk on you know video games I mean we even used some of the fours add-ons last year to get data out of the xbox using the protocol. There's a spokesman like project cars at Dot Com. But those are all video games and we wanted to do something that was more racing specific. And more realistic, and so we we decided that we would do a virtual racing series to dot com and that we would do it using the Irish seen platform, which is racing simpler form..
"beard" Discussed on Big Data Beard
"It's been a little bit off. Yeah. Few months off just to. We're working on some really cool things actually like I think there's some really cool stuff coming. In the next couple months that we're excited to share with you but we've been focusing on that but it's time to kick off season seven of the big of your podcast and I really couldn't think of a better guest than our good Buddy Deane Jackson. Dean's been a big beard contributor for years. Now he's a guru and he works spunk and what we're going to join a safe or is to talk about his other passion, which is smart homes and the whole Internet of things in the household. So Dean welcome to the big data beer podcast. All some thanks for having me Really pleased to be here and for having this chat. Yea I am as what she's looking forward to this all week. Obviously, we all have some. Some passions around. So our homes and I've learned a lot from you personally. So it's fun to be able to pick your brain, but also to record a podcast while doing that. Why don't we start off? Just do me a favor can you introduce yourself to the audience? Yeah No So D- Jackson in the I am. A SELF-PROCLAIMED CANAL? So Katie born but living at down under. So I've been here on ten years now in Australia. Split my time between Sydney and now in Sunny Brisbane So. That spunk three years very passionate about that and the other big passionate he said is. Anything. Technical toys to play with at home because it full of too many electric things you're gonNA hear about. So ties nicely into to to my data. That's a little bit about myself. Now. Have you trademark debt term yet? For a t shirt or can we can we make a t-shirt about tackling is? Easy. Yeah. Beard. I think we should The other term I use is climate refugee so So like you know the Canadian winters just can't do it anymore. So winters winters day here in Brazil twenty, two to twenty, four, Celsius. So it's pretty nice. You've really hit the extreme service Canadian winters now Queensland Summers. Man. There's no midpoint for years. I have a great story on Quinson Summers and technology. Honest here it. I. Okay. We'll get right into it then. Yes Oh. My you know I moved up here in a couple years ago, moved in A. Nice House up here in this beautiful little server rooms in my garage like I guess it was meant for storage room but of course became a sovereign has power panel in it and. You know the cable TV comes in for the broadband got all the necessary bits for A. Little Mini Data Center. So it's two square meters. Gets here in Brazil advocates around thirty, five Celsius in summer with seventy to ninety percent humidity. So it's pretty pretty full on tropical. You can imagine a room full of electronic technology city in my garage, the temperature. Well, that's summer had an overheat event. So. I had the door open fans going but it's still overheated and I lost lost my fire all. I lost my Sinology Nasr. T so Kudos this analogy a them a bit. It overheated they replace the Nas- move drives over in it all back online. There so. Yeah. That was like a ten terabytes of data. So So yeah, So basically I've got a reverse cycle air union that's a room this Friday. It's a day con unit, and of course, it's got which will lead in probably next topic's got WIFI control with an API on it. So it will Lincoln to. Obviously it's got its own thermostat on.
"beard" Discussed on Big Data Beard
"You are now listening to the big data beard this Corey Menton and we are back with another season of the big. Dig Up Your podcast and we're GONNA kick it off in style this time with a little conversation around streaming storage reimagined and have that conversation today. I'm joined by two folks from Dell Technologies. Amy Nannies is the product. Marketing Manager Adult Technologies and Flavio. Jakarta is the senior distinguished engineer. Adele Technologies Aiming Flavio. Welcome to the show. Amy How are you surviving in this crazy corona virus work from home migration and doing surprisingly well? I think I was made for this kind of living. What's funny I had a conversation yesterday and I somebody said its worst nightmare for an extrovert. Because we don't get to get out and socialize but it's also works nightmare for an introvert because you really don't get a lot of downtime because there's so many people in the house potentially for those of those kids and wives and families and all this stuff so it's everybody's struggling a little bit flabbier. How are you doing in this time? I'm pretty good pretty good. It has been on. It has been nice intelligent at the same time. Nice from the perspective that We spend a lot of time with family together like I. I believe we have never done before. So that's nice but telling him. Part is not being which you step outside me here stain. We have full lockdown. Now can we go tight for groceries and all that stuff from that perspective is challenging but You know we. We were coping very well. So we'll good well. I hope everybody else's stand out there. Hope our audience sustained safe and hopefully this conversation with episode. We'll give you something to enjoy in the lockdown. That's happening so many places around the world. Now business hasn't stopped. People are still out there. Working trying to derive value from data and one of the conversations kind of macro themes that has been really popular over the last two years. If you will is this concept of analytics on streams so I want to set the table Amy would you favor and help us understand? What exactly do people mean when they talk about streams sure yes so extreme as just a continuous data feed? That's in constant motion. So there's no beginning there's no end. Typically we have a time stamp on our data feed so this is different because it's always flowing Today a lot of our data naturally comes in this form you know everyone has a organizations are beginning to utilize drones and security cameras. So we're seeing this information produced all the time interesting now. This constant stream of data a guessing is kind of important you just mentioned a few Kenna interest in areas security and surveillance and those kind of things why streaming getting so much press. These days is becoming really critical for modern analytics. Yeah so you know. It's important for us to be able to consume it store it and analyze it in real time as it's coming in because we get the most value from this data as it's coming in A good example is when we're shopping online so we get to the cart and we have suggested purchases if the computer behind that was to look at that data. Historically we'd be getting it a week from now and that wouldn't be as valuable Or something like traffic lights. We can look at how busy they are and change the timing in between them if we can get that information as it's coming in so the ability to analyze information as it's coming in is hugely valuable in almost every industry. Yeah so get into that real time. Capability is so challenging. I imagine you know there's a lot organizations and a lot of technology is being built and developed to handle executive that problem so far beyond cures from your perspective. What are the challenges that this stream type data bring to maybe those traditional analytics platforms that organizations have spent the last five ten years deploying right so following up on a on what amy said if you're continuously generating data in you can imagine applications where you have a large number of these data sources? So she she used an online shopping example right. But you can also think of food servers Sensors edge applications in general. You can have many of those and all of those producing this flows of data continuously so this year diggity unnecessary to ingest this data and make available downstream. So if you're talking about applications that we want you tell that street rates went to processing data as soon as possible so ingesting that making available news is challenged by itself. Now if you think about the characteristics of of the Stream flows they need their unbounded right so as you mentioned the arm-banded so they have They have a beginning. They begin at some point by there is no no no. There's there isn't necessarily an end end. Not even that alone. You can have fluctuations in the in the workload so that the flow. You're getting my change in my few censors at some point or more sensors oranmore service fiercer results although this cannot can fluctuate and and the the your plan which accommodate those changes and in addition to that you don't want you don't want to have duplicates miss events or or or have problems with the with the streaming away that doesn't reflect what application expects a consistencies and other is another important property. All that's with the with the application wanting to deliver results with low latency so he's taking that data processing yet and delivering results as possible. And finally the the the aspect of reacting facet changes. So if you are in this in the situation that you are taking the state alive processing live and delivering results as fast as possible. System must also be able to accommodate changes to too many thanks to the work as I mentioned on. That could be faults in the system needs to watch to react to those. Maybe replicate In my need to increase the the D'Amato resources dedicated to a critical application. So all those make a beauty a platform like this very challenging. Absolutely we did talk about kind of at the onset that there. Is this idea that we need to think about storage so help me understand you know when we think about platforms that are moving towards dealing with analyzing those unbounded? Highly diverse time series data types. Right in real time. Why is storage a critical component to the overall architecture that an organization will build to get to that real time streaming analytics because maintaining Jessen again? You have the data being Katina's agenda meted out of the application sources and you WANNA capture and make it available to downstream applications. That could be most for those applications. They could be reacted data different times at a at a different pace. And so you need to keep that data around until those applications have have processed the data. Now Minneapolis do not simply want to take the data detailed the the stream and be done with the data their applications like that that look more like a message queue pops up kind of a kind of obligations but there are many publications that want to injustice data in keeping around for as long as they needed may apply patients for example. My want to reprocess the data. We might want to reprocess it because they have changed their Co. They want to generate results in a different way. May maybe they found a bug and they want to run. Eh or maybe just re materialized a particular view. Oughta of a stream of a of changes events I messages so those would be reasons for keeping extreme data rounds and should treat.
"beard" Discussed on Big Data Beard
"Lot from our guests about big data but now it's time to get a a bit personal in a segment. We like to call rapid fire. Kyle I'm going to start with you. What is the last great book? You've read that you'd recommend to our listeners kyle. I have not had much time to read lately. I've been digging through a bunch of rest. API guides sued be more of A. There's a new standard swagger standard. I've been reading through the documentation. Seems pretty pretty cool little piece of tech so yeah that's been my late night reading lately. Smarter Cow Excuse me what about you. What's the book you've been reading? The book. Great Book that I read was called leading change around. How do you manage propped organizational change in process change in how do going to influence the adoption of that? It was pretty interesting banks. What about you? What's a great book you've read recently that you'd recommend well I always I mean right now? I'm just reading marketing. Books like the ones by a Seth Godin. I think those are really great but I always go back to the Phoenix project whenever I need like a nice little reminder of tech without to much tech so it can. I can't ignore that one nice I go. I went to the human route at this time. I'm always a fan of Malcolm. Bradwell and his latest book talking to strangers. is quite an interesting Expose on the way that We interact with the people we don't know and the problems that can happen with making assumptions. And if you're an audible listener It is the first book that's been done sort of an podcast format so it's a totally different. Feel as the book is read it actually includes like alive. You know newsreels like anytime. They referenced an interview they try to get the live interview version of it so pretty we also are Brett. If you had a song to play when you walk on stage at conference to present what would it be dodged this question. For how many podcasts. I finally to answer it. I still don't know now Let's go with the modern drake. I think that's a good one strong choice banks. What about you your walk on Song? What does that mean it has to be beyond say Song of course right and well the only thing that really matters for women he rule the world? which is you know who girls Kyle? How about you? What's your what's your walk on Song? Next time you talk at a conference SCO with a passion pit take a lot for the literal translation and I just have been listening to that a lot lately. Strong well mine is going to be another drake song. It's big rings and that is because it talks about my team and these five people on the call our podcast army team banks what piece of technology it is currently making your life worse. I wanted to say my laptop but then when I sit there and think about trying to like walk away from the laptop and do stuff but still carrying my iphone phone with me and still getting text messages for work and calls from work and emails from worker. Pretty painful so right. Now it's just my work email and when when Mark Ben half the founder of salesforce talking with Tim Cook on stage at their big conference. He said that he no longer owns a laptop. He does his Margaret off. Does the entire job or anything else. Worse from an from an iphone which really. Yeah so. Maybe it's possible that what about you. What piece of technology is making your life worse? My phone batteries horrible learning right now and it just doesn't have a whole lot of space left so look for what to expect I classic guy. What about you back in your life worse? Yeah Yeah my my local router to old school net gear and just constantly will drop the connectivity to my my apple. TV even though it's across the room so trying to deal with that and we don't have cable so we just stream everything so when that goes out it's like our in cable goes out so it's a pain. Yes that's no good I'm GONNA say mine is Apple. TV or not Apple TV AT and T. TV streaming service is streaming services in general. Why are they going up in price so much? I'm done I'm over it. I'm going to go all cart. They're not going to own me. What is your biggest personal money? Pit Right now kyle. It's about to be networking gear because well if it's broken. You might as well just spend a lot money and get it fixed excel Taking a look at that and getting that done mice Brett. What about you bought way too many raspberry pies to Alaska and not the food unfortunately unfortunately nice banks? What about you? What are you spending all your disposable income on my car? She just a I think she's not used to the sitting for a while. Now they live in the city she never garage out. I know well well well. It isn't ours five so it seems to be my most expensive Audi audie equipment. Camman might be fun especially because I really get to drive that fast here Jersey because as you you stated the roads suck so we talked about this. Why do you have to have somebody fill up your gas for you in Jersey? Well so they changed the law there. You can do a couple of stations can now you can pump it yourself but I I did not live here. When Jersey made that rule I will omit somebody that's moved recently from Massachusetts? It's nice to be in the car when it's snowing or raining or really really cold and being able to sit in my heated seat in listen to the radio and not having to get out and pump it so it has its advantages. And they're having times if they're taking too long definitely get out and we'll just pump up myself so there you go binging on any in any shows renou yeah. I'm trying to finish handmaid's tale kind of obsessed with it. It's it's on Hulu and I just I love it. What about you? What show are you watching? Decided to Rewatch the office. For the fiftieth time before it gets off net flicks so Netflix they are. We're going to hook you up with a with a Nasima isn't servicing. Pull that bad down as she just bought the The Disney streaming service and. It's pretty awesome. Oh it's great. Yeah Oh these amazing reliving. My Childhood Manda Lawrence Pretty Good. I was pretty pleased with it. I don't like that they're releasing it once a week. Though I understand like the the thought process behind that I really do like the binging aspect of it. So that's that is my only that in you don't have recently played so if you go through or you get out of the APP and you have to go back. He has to go search for what you're watching again. So on the peace if he back based on the challenges they've had with keeping the streaming up. Maybe it's better that they don't have that much mandatory and for people to stay on for that many hours at a time kyle. What about you? And he shows that They play over in the upside down. Land that are gonNA flip your TV upside down to watch him remarks made. I've I've been watching a lot of the office so taking a page from Brett's book. Yeah we're we've we've been binging it. We're on season seven now. So yeah it's been good As well as the morning show our morning wars the morning till the apple. TV One really. Good Okay let you too. That's good I saw a bunch of So much news about it like where it was getting good reviews but but apparently apple apple haters. Were like you know torching it and so it was getting better views on certain sites and the people came out and they were like now. This is just people. Don't like Apple. Yeah it's a great showman kind of feels like the newsroom was that was Aaron Sorkin Stevie Show Kyle. I started watching on season as in seventy as well. I'm not sure we're past Christmas. Yeah Nice why. I started at the recommendation of Keith. Kyodo started i. Tried Watchmen Y that is really really strange are so it's the holidays. Is anybody going anywhere super interesting. What's your next interesting trip? Some going to San Francisco for a couple days in December and then I might be going down to the land down under next year so I'm looking forward to that but going to see everyone about you Goud guy what about you. You travel anywhere phone. I am Yeah in six days. We are heading to Germany so we're meeting my family. They're flying from the states and we're all meeting in Germany and cruising around there for two weeks is a bit of a family get together so we're pretty excited for that. Yeah it'll be a good time in and you thought you thought you'd had all the to meet you. You'RE GONNA have this year on the arbitrary Lord we're GonNa be eating a lot of Schnitzel sausages. It's GONNA be awesome. Yes Sir Thank you. What about you you doing any traveling? I was supposed to go to Cuba but then God next thank thank you. I was the American Embassy. Nixed it or just exit. It's been next by trump so Not allowing us now going to Mexico. You know the bummer. I the thing I'd love to see in Cuba's like the all the old cars that they have seen. That seems like so you can't go to prevent any more I mean you can get with like the original route that we could go back in the good old days by boat. Thank Canada are I think you can say like as an educational trip or something like that. This was like kraft kraft and go the opposite direction. That might be easier at this point. We get a little more. They see on the news like a like a D. A helicopter comes overboard is like what are you doing in those drugs. No I'm going to Cuba. That's awesome. Well speaking of Canada I'm actually taking the The family on our very further kids very first ski trips. I've a seven year old and a five year old. They're going skiing for the first time and we're going to Fly into Vancouver weirdly enough flights to Vancouver. Were half the price of flying into Salt Lake or Denver. Ver- have no idea why so we're going to go to whistler blackcomb for four days of skiing the first week of December the awesome. Yeah it's two days of Ski School for the kids. And then then we'll see if we can hold onto them. Well Ladies and gentlemen it has been a super fund to have you along for the ride of season five of the the big bird podcast. We hope that you have an incredible holiday season. And we encourage you to tune back in to the podcast in early. Twenty twenty as we kick off season six of the show..
"beard" Discussed on Big Data Beard
"But one of the things I'm GONNA use to capture some hopefully cool video footage is that everybody will see got a pretty sweet little maverick drown I don't know if you guys have gotten into drowns but I gotta I gotta one of the Kabq Yeah I got one. It's pretty. It's I got the maverick mini. So it's like the travel and but dude it's got a two point seven K camera so not quite four K.. But let's be honest and I really need forecast gay TV I know exactly. So what do I need that for. So I got one of the Maverick mini and but it's it's dudes rat. It's got the three access gamble bull camera on it and it's small enough. I didn't realize this but the FAA right the which is in the US is the you know the the government agency managing the airspace. They've now implemented lamented laws. Where if you have a drone that weighs more than two hundred fifty grams which by the way is like the weight of a cell phone if you have a drone that was more than that you actually have to register it with the FAA and you have to have a tail number like printed or shown on your drown like if you don't you can go to Federal Felony and I'm not just talking about to fly the thing in in some sort of protected airspace? I'm talking about to take it out to the park and fly it if it weighs more than two hundred and fifty grams and is not registered. You can literally you're in violation of federal law. So this thing is two hundred forty nine grams. So it's like the highest in camera that falls under the under that SPEC so so you can do it without getting you know in federal prison which is kind of ideal yeah so the the. US is cracking down on routes because apparently a bunch of people that drones are a bunch of idiots and fly them there where they shouldn't didn't not that that's ever happened before. I actually I got on this verb it. Yeah so I so I bought the fly. More Combo interestingly. Interestingly enough I saw went onto jobs website started by it and I couldn't. They didn't have any and they said they were going to have to like well after Christmas so I went to best buy Amazon like nobody had him. You Know Madam the Apple Store. The apple store in in Birmingham had three of them in stocks. I went and got one there But candidly I got it yesterday. and got the batteries all charged up and it's been a crazy couple days. I haven't I haven't seen it yet so I will. I will send you. I'll be I'll be sure impose some Some video to twitter of my first line I did also by the Digi I protection plan for thirty dollars. That if you crash it you can get a low cost uh-huh replacement so that's a good thing. That is a good idea..
"beard" Discussed on Big Data Beard
"Doing that trip and in total that happened. Clearly the the road trip is behind us. Calm off Another great cough is behind us But also we had a whole season of shows in all of two thousand nineteen. We talked to some really incredibly interesting folks folks from around the world and I want to spend a little time just sort of recapping the things that we learned in In two thousand nineteen and maybe some themes to watch as we look. What's ahead of us in two thousand twenty I I'll start with one just kind of off the cuff that that kind of seemed interesting for a podcast called big data beard. That's all about big data eight. I really had duke. Had Been at the center point of a lot of our conversations For the first year and a half of our of our show but it really. I felt like there has been significantly less talk about Duke. And it Kinda trailed off faster-than-expected did anybody since that as we went through twenty nine to I see a lot of open source projects that were built natively in starting to expand outside of that and while they did use. HDFS as the file system to get started in a the job scheduler That there's a bigger world outside of that so now they're starting to try to democratize their their requirements right so now jumping into do things like S. three and blob storage in keying off of all the major cloudplayer's and trying to be agnostic quote unquote but then also focusing on trying to keep themselves as an entire data platform is kind of the big trend that I've seen come out of that. Yeah I thought everything seems to be like seems to be moving towards one commercial platforms are becoming more and more popular right open source. Seems like where they start but it doesn't seem as sustainable but a lot of the services are those functions are starting to come become as you kyle alcohol. They're being run oftentimes in the cloud and call just as a function versus having to have you know an entire big scale out system to run it. It's really just a developer making API call. One of the things I noticed was This idea that you know we talk a lot about tech but there's a lot of human you know human computer interaction conversations taking place I thought those were interesting. That are going to watch in the future Brenner Better and I'm curious from your perspective. What are some of the trends that you took away from this? This last year's worth of podcast conversations. Yeah I think I To your first point quarry about your expectations going into season for in the beginning of the year I think everything our most of our conversations with some type of a related conversation whether it's based on a use case or some technologies that are driving Moore this advanced analytics and kind of analytics. That was I I kind of have since the that was going to be more of our conversations but not such a shift from what we did last year to this year on. The second thing is just how many organizations out there are taking advantage of technology around machine learning or deep learning and using it for good so Microsoft until I think we had to really exciting shows where they're actually pioneering a lot of really interesting these cases around Bettering the world or solving some nonprofit esque east cases. Yeah I think. That's you know you talked about use case right there at at the end. That's that's one of the things that I feel like really got to the center of every conversation we had was you know. There's a lot of being developed and there's a lot of interesting technologies. Oh Jeez that solves and some really unique challenges but one of the things that became abundantly clear was that you know really without a well defined you know business outcome come every project that organization and even the companies who developed the technology. They talk about their customers without that really well defined business outcome objective with executive by a and kind of cross company. Belief really is hard to be successful and what I took away from a lot of the practitioners that we talked to was that. There's a lot of stuff that's already been done. An and that or is this just haven't even adopted the things that are already available out there. Like people aren't spending near enough time combing get hub for projects that have already been figured out a one of the things that we as a team and this is a little bit of inside the trustee for listeners. We ran into was Publishing a weekly podcast While having day jobs in industry is really challenging we've jokingly referred to it as our like to share. It's it's been our existential crisis is what is what does the future of the big did a beard. PODCAST look like we. We don't know exactly we're we're thinking through it and I'm just curious Brett. Kyle Aaron any anything you want to add to that To the existential crisis journey. We're going through right now. Editing every week is just so time consuming. It takes a lot out of you. But I'm still excited energized by what we do in kind of all the feedback. We get so I want to keep it going. I think Focusing on the use case in some of the applications of this technology is something that I wanted to explore more next year. I've been of the the mindset set that Given that we all learned that you know use cases were We're supremely interesting I think that you know if the listeners are are interested what we're thinking about on season six is is really that it's less about technology for technology sake and actually trying to go out and find find interesting ways that people are applying machine learning. They're applying deep learning artificial intelligence using IOT less about how they built it and more about why and what is the outcome. And what is the impact too. Because you know one of the things that we're finding you know I think a lot of our conversations is that the technology and the capabilities are being democratized and so it's becoming easier so we think you know. Maybe there's this creative conversation that we want to have around you know use cases so we encourage you to tune into season six what we will say as it is not going to be a weekly podcast in two thousand twenty. That schedule is just not sustainable forest forest but we do want to continue finding great conversations that you will find interesting and you'll find inspiring And one that we've the one show that we've actually committed to already that we're the working on recorded in December is Is this company called apex pro and it's basically a it's digital driving coach. It's a a little IOT not device. That goes into your car where during During times when you want to go onto a road track or a racetrack and it uses Machine learning and Iot to actually give real real time driver feedback to to help drivers go faster around a racetrack. Now this strikes close to home for me as my a hobby in the the boys and girls in the show know how much I look like talking about cars. I probably should have car show to the big show but Going to the track actually December fifteenth and the team at Apex has partnered up with me to outfit the G.. Eight with an apex and so the first episode of the Year for two thousand twenty will be Hopefully feature some video maybe some in car audio from for my experience and then we're actually going to sit down with the Eh Professional racecar driver. WHO's the one of the founders of apex to have him coach me through the data so you guys will actually get to see how bad or maybe how good my driving is? I'm guessing how bad and maybe we'll do some follow up episodes throughout the year. But it's always going to be about use case that's it. We really would like you the listener to give us some input we want to know what use cases you you find interesting and that you want to explore and that you'd like to see us go down the path of exploring with you so we encourage you to reach out to us. You can always ping us on twitter Or you can pay us on Lincoln You can also reach out to us directly just by sending an email to Brett at big data beard dot com the housing to his email address but Bret Baier dot com breath. -solutely feel dose requests. Many you're welcome Brat so sin br your ideas and Rhett will work on helping US figure out which ones are the most interesting to pursue in two thousand twenty twenty now before two thousand twenty shows up. We've got the holiday season ahead of us. We want to say. Thank you for a wonderful twenty nineteen. We hope that you of wonderful times with family And that you have an incredible blast. Thankful hadn't holiday season before we skip to our favorite part. I'm curious Kyle Brett Aaron. Do you have any interesting things. You're going to be nerdy out on over the holidays Kyle. What about you? Yes so I live just a couple a couple miles south of our local customer Solution Center So we're actually actively working on building out some fun stuff that we showcased on the road in Austin So we're getting our spunk. Cluster stood up We're also getting eight DOT O.. stood up and then trying to get some of the new announcements implemented in our lab. I've I been playing with Iot a bit in running tenter flow at the edge. So how do we train the model in the core and then push that container out to the edge so we got quite a bit that we're geeking out on over here. I'm sure my wife will get really upset with me at some point to me. Put My laptop away but we'll see how long can make it for get yelled at breath what about you. What are you going to be tinkering with this holiday season? Yes so some of the things that we tried to do on the RV that we just didn't have the time for. I've been working on so like how said earlier the durability of a raspberry Pi so working on getting some of the internal data from you know CPU temp to Just utilization and playing with that and spunk Um I'm also playing with tensor flow a little bit and doing some things with object detection around my house. And I'm actually going to get a certification over the holidays. Signed up for a couple of classes and then I'll have to pass a test and hopefully I get the next level of certification for spunk. Nice banks here. Are you doing any any tinkering with anything fun. Hell no hiding project. Yeah Yeah it's GonNa be a crazy crazy twenty twenty which I can't believe it's going to be twenty twenty But it's going to be pretty nuts for me so I'm just going to do everything I can try to relax and breathe and just not be in front of my laptop for a little bit of time. I'm some good for you. Well I got a fun new toy One I'm getting apex pro which is going to go on the track with me on December fifteenth..
"beard" Discussed on Big Data Beard
"Somewhere else today Jersey today sweet the Great State of Jersey. Isn't it though we've all we've all been home a little bit. We took a crazy wild trip. Rip As part of Season Five Brett and Kyle and I went on a road trip ECZEMA. I remember thing I can't forget it. Forget it was It was a wild trip. TWO WEEKS LEADING UP TO SP- lunks conference so we Kinda Ana we shaped everything in our conversations around Those organizations using spunk and those organizations partnering To make customer successful as plunk the incredible sponsors of the road trip were dealt technologies. VM Ware Red River Technologies and Aero Electronics and it was pretty epic. I'll say Brett. What were some of the most Interesting stats that you that you collected for US along the journey. Yes so just to start by saying I was actually gone for six weeks. I just got back to my house about eight days ago so I am very happy to be back but for the actual road trip itself. It was two weeks we did over about four thousand miles just the road trip plus all the additional miles that Corey night drove to get the RV to the starting point and then Corey driving afterwards so about six thousand total. We hit seventeen states on the road trip. Uh I think it was like fourteen different cities and two thousand different rebels but I think my favorite stat is actually let you guys. I guess this How many times did Corey? Honk the horn in a fourteen day. Period Kyle any thoughts. I'M GONNA go with an over under of around one hundred fifty. I'll take the over on that. He was going to say over definitely over now. Listen I wasn't even. I wasn't even in that thing. Yeah but in fairness though it let's be honest. The Horn was magical. It was one of those like air horns that kinda sounds like a yacht anytime you'd hit it. It was like you're playing a video. It was a magical horn and it had its intended effect and to be fair. You drove every single mile of this this journey. You kind of hit a pass on using the horn. So I'll give you that and great job getting us from point A. TO B. Two to the end so thanks very I did notice I've never seen corey so happy. In his life than him. Sitting in the front of the most of that trip he had to the biggest grin rain on his face. You know drive on the road listening to John Denver. I've never seen you so happy I I could moonlight as a as an eighteen wheeler driver. I think between being behind the wheel of such a massive land was kind of fun now along the trip we learned some things. One thing I learned is New Jersey has terrible roads no fence banks. It's true But I'm curious from your perspective. What did you learn along the way Brit? What was the the number one thing that you learned on that crazy road trip? I think it's the importance of a good network. In how how. Critical networking and knowledge knowledge of networks are That was definitely our biggest bottleneck both from a podcasting in a production standpoint but also just from making sure that all of our iot devices were sending the data data over the network to spunk. Think that's definitely a was one of the biggest things I took away from the trump. What about you? What's the number one thing that you learned and trying to get the IOT? RV Cross country while making great shows. I think one of the trickiest parts that we had was just around the availability of the devices as well. Oh with them being headless units and I spin on a quick timeframe. We didn't build in a lot of Redundancy and necessarily checking in on the the it of the IOT devices so are they performing while. What's our heat? At what did we have as far as thrashing of the cards so we were. We took it really. Reactionary reactionary approach to monitoring the health of those and I think if we were to ever subject ourselves to this again we could probably improve upon that the next time. If we ever do this again I think the biggest thing we need to bring because we will be doing this next. Time is a smaller monitor that we can use to trouble shoot just in case I think having to get that big monitors plugged in attached to every single edged advice whenever something breaks is just not sustainable. So you're saying twenty-seventh monitor might be overkill for troubleshooting raspberry Pi Gateways Forty foot. RV Six thousand miles. Why not go big trip? That's exactly exactly right now. I heard you you just you committed us to doing something like this again is that is that an I hearing that correctly. I've already signed all four of us up for it so he committed himself self. Nope you're here that you're banks. You're coming along. How do you feel about that? I shake my head. nope I have not going to be in that. RV that stink echina- imagine imagine the smell. That's all I think about is what it smelled like like roses. He was a lot of honest. Well actually we the only only thing Liquid that we went through more of than red bull was for breeze in all honesty so it was quite as fresh But I think Aaron you can join us on the next trip trip because it's not going to have an RV involved. It'll be something far more interesting and friendly to people travelling together over long distances. So I think it'll will be fun now so one of the things that we that we had happen. If any of you were paying attention to the to the To the road trip before we even really got that started. We had a massive tire blow out on the interstate in Tennessee is. WE'RE MAKING OUR WAY TO BOSTON. And just so you know we had another one after the road trip ended When my wife and I were driving the RV from Vegas over to San Francisco we went through Yosemite and we had a blowout In the park Here's the side story one. It is insanely expensive to have somebody drive from Fresno with the tire and then change it for you in in the park that stinks the positive. The silver lining there is because of our stranded R. V. We actually got to spend the night in Yosemite National National Park in the parking lot of the lodge in V which it's illegal to camp there but we get to camp in the RV overnight and Yosemite and go out for now mark walk under the stars. Wake up early in the morning before the sun came up and have incredible access to the park self silver lining there now during the time We actually went to the conference. We will this giant RV with all of our it sensors onto the floor. We had hundreds of people come through the RV every day But we also saw some pretty cool things. I'll tell you my my. The the coolest thing I saw at the entire conference was was definitely doug colonists out on stage like seeing our name in lights on the on on the screen of the keynote in front of eleven thousand people and over one hundred thousand people in livestream was easily the coolest thing we saw. I saw kyle curious from your perspective. What's The coolest thing that you saw this year? That was by far the one of the coolest moments for me but as far as takeaways from the conference I a swinging by the spunk. VR Demo Station was absolutely wild and we played with VR bid on the road and had some fun there but to be able to sit down and see VR happened in a real world. Use Case and being able to monitor your spunk dashboards dive into those further all through. VR headset was Zach. I think one of the takeaways for me. Yeah it's it's funny you say. VR because one of the greatest things I saw not at the conference was Brett plane with his new. VR headset set in the parking in the park in Texas swinging. Around the handles one of my favorite things to see so Decided on that. So that Star Wars game for the VR headset. It only. It's only like the first chapter by the second chapter in the third chapter so it's like like nine dollars for every time you WANNA play two or three levels. It's it's actually deploying frustrating. Yes pay to play you have a way sabre duel with Darth vader or so. It is still a win You know I actually think just the backyard. Barbecue of the Expo Hall was just a lot of use cases cases that you don't really think about for spunk. Like the cornhole boards or the smokers or I think my favorite which was the brewing of the beer and of course the rv all those cool things together create a nice little Just place people to hang out and see some technology. It was fun beck some curious from your perspective. I know you didn't get to join us. But maybe what was the best thing that happened for you while we were doing this crazy road trip besides not enough. It was so quiet it was just it was quiet it was it was nice. No I missed you guys and our conversations and everything but Being able to just really watch you you guys from like a foreign seeing like their travels and seeing all the great work that you're doing it was it. It pulled on my heartstrings and a little bit of foam but I think the the biggest piece of foam probably happened. When you got to watch Brennan Kyle unload the NERF guns on me? They should have never seen them that had they talked about me and the horn like them in the NERF guns unloading on an unarmed me easily. The greatest thing that happened to him that was a lot of pent up rage that came out over that thirty me seconds but a pure pure joy for everything else banks. I'm curious though. What was your favorite episode or or Breakfast with the beards episode episode? That from the trip I don't know I I like them. All I mean I just think it was just a great concept right. I don't I don't want to like it's like picking looking like one of you is my favorite. I can't do that so we know which one I would say all of them because I think it was a great concept I think it was just perfectly executed executed. I mean you guys just you just did a great job so I think breath just really want you to talk about how much he loved making me making them. Eat those Texas tornadoes and Armadillo. uh-huh Amarillo those rough. Those were disgusting. I don't terribly anyways fine..
"beard" Discussed on Big Data Beard
"You are now listening to the big data. Hey everybody this is coordinating with the big a beard and we are in the final day of calm the last session to be recorded in the IOT. RV and we found a friend of ours from spunk. Who is turns out? He's an RV. Aficionado Rick Fits how you doing today buddy. I am doing absolutely fantastic. And I. I gotTa tell you when when I heard that you're doing interviews in the RV. I gotta go down to do this organization really important so you've got experience in our veins. Yeah Yeah owned him for about twelve years and Took my kids all over. Pretty much. The west of the United States but Alfred Long trips and we just had an absolute blast and they were so much fund. So did you ever take a trip where you with A bunch of grown men in an RV You can actually tell you a couple of those stories too. Yeah we used to take golf trips all frequently Took a bunch of people to Actually we live in. California was a trip from San Francisco up to Reno for the weekend very cool. Yeah I had trouble getting the guys out of the RV once they will travel exactly right. Yeah it's good. If you're not the driver because you get to get up and walk down you can go back and get yourself soft drink and a snack drivers on suffering. And that's unfortunately the truth. Because I was like all right so you guys. I'm training to drive and they're like nope I'm like it's my duty. Get you from place. Nice to play so a lot of fun. It is responsibilities. Things are enormous like they're so tall they're so can unwieldy on the drive in your. You know your family car down the street it is. It is legit work work it is it is yeah in fact. We got caught in a snowstorm. It was amazing. Moving down from Reno Thrill yeah with no chains and drive with about two inches of snow on the ground. It you know eighteen thousand pounds ons you know it didn't.
"beard" Discussed on Big Data Beard
"We've learned a lot from our guests about big data but now it's time to get a bit personal in a segment. We like to call rapid fire. What is the latest book that you've read that you would recommend to our listeners. I've only been able to read things related to my talk over the last few months so it's going to be one from from my talk but basically I would say uncontrolled. I think Jim Manzi is is the author but again he's again. He's talking about experiments okay and I like. He's come up with some interesting. Terminology like causally dents is one of the terms that he came up. I think is impactful. That's that's a deep word man. Yeah I dig that sounds so you had a chance to talk at the conference but if you had a chance to pick a song song that was playing as you walked onstage. What would that song be. There is a song off of a stone roses album and I don't think the song was very popular but there's a point in that song where it starts out. It's the song's called breaking. I think it's called breaking into Heaven Evan. There's IT starts out with four minutes of just like jungle sounds and maybe these kind of subtle drumbeats and then all of a sudden out of out of this chaos evolves this like deep funky guitar. It's super awesome. It's like right about the four minute mark but all right. That's the point point. I would want to walk out on the long minutes getting seated. They're like what are these exactly awesome but it is really it's Groovy groovy like it. So what is your biggest personal money pit right now for children yeah. Ah that matters so is there a is there piece of technology. That's making your life worse today aw well kind of going back to the money pit. I'm a sucker for textbooks. I end up spending an inordinate amount of textbooks spokes of money on textbooks and so I don't know and the fact that I can the fact that I can buy a textbook and put it on a kindle kindle version or something like that just means that I don't have to worry about storing the textbooks so there's there's less of a cost because I have to worry about storing it so I don't know maybe maybe e-readers readers is a piece of technology because then I just spent more on textbooks. Are there any shows that you're binging on right now. Well not very many because I've spent most of my time trying to research talk but there I did binge of while on some. Hbo Documentaries so there's some really interesting like true crime on I love die and others are kind of morbid but it's like and then there was another one like who killed Gareth Philips and then there was like Jihadi John and then and then totally different than those Mohammed Ali documentary which I thought was awesome. That's awesome so in your in your professional life or personal I for you. You're going anywhere interesting soon. We were doing a station I in a in a week. We're going to stay at the Beach Club here on property and they have one of the best pools on campus really Oh yeah yeah. They got a nice. Lazy River and they've got a sand bottom portion of the law. That's awesome with four kids. It's also station. Yes totally understand that we'll McKay okay. It's been awesome to have you on the big data beard podcast and thanks for hosting us at Disney's data analytics conference two thousand eighteen no problem great to be here. Jerry's thanks for listening to the big data beard podcast the music from this episode as by Andrew Bell. Check him out on Itunes is or spotify and be sure to smash that thumbs up button so we can keep episodes until next time keeping also.
"beard" Discussed on Big Data Beard
"You are now listening to the big data beard in this episode was recorded at Disney's data analytics Conference Two Thousand Nineteen in Orlando Florida. Welcome back to another episode of the big of your podcast. I am Bret with me is Cory Minton cordray doing today on wonderful Bro. Awesome and we have a very special guest. Sam Really excited about this. We have McKay Okay Curtis. WHO's a senior principal decision science team with Disney. How're you doing today. Awesome favorite washed tell the audience a little bit about yourself and what your role is at Disney sure so like you mentioned on the decision science team I like to think of our team as a building the mathematical Algorithm ick guts of of decision science tools that we then get to give to other units within Disney so our team ends up doing work for lots of different arms of Disney of course we do a lot of stuff for the parks because we're housed within the parks and resorts segment of the company and but then we also do stuff for like Disney cruise line or Disney theatrical group which is the Broadway shows and we also do stuff for the Walt Disney studios pretty much any Armagh Disney so ESPN ABC. We usually have some sort of project going where we're usually doing something like building an analytical tool and specifically focuses on the math behind the tools the hard stuff right well the fun stuff the fun stuff hard for for some of US yeah. That's really cool so when you think of this term decision science. Can you unpack that a little bit and just what does that really mean to Disney well for for us. It's it's about a lot of a lot of our tools have multiple components but usually there's like a prediction component where we need to predict what's going to happen based on our decisions and then there's an optimization component where ultimately we want to influence the business to make better decisions. Disney's a great company to work for because the product is incredible double like I. I've got great memories going to dismantle. I think it is magical. It is magical so helping a company like that. Be Successful usually means that that Disney does more awesome things so Disney is going to be opened the New Star Wars land in California and they're going to be opening one. I think just this next week here in Florida. We got a free preview as cast members. We got to go see inexperienced. The land and the ride is incredible so being are on a team that gets to help the business decisions to help make the company successful so that it can continue to create groundbreaking. Things is really fun so so you're team. Obviously it uses a lot of different techniques to help drive some of these use cases and projects talk about some of the methods that your teams are using to make Disney so successful yeah absolutely so on star-team. We usually have two different backgrounds of individuals on our team. We have some people that come in with like an O. R. E. Background and they they have expertise. He's in some of the traditional optimization methods like linear programming mixed integer programming and then we have other people with more of stats or machine learning background and they usually I usually do build models that produce predictions or estimates of causal effects that then go into the optimization algorithm so we we kind of split the work in that way BIF- hiring people of different backgrounds and that's usually what goes into each tool that we build so what are the some of the challenges when you think about you know trying to deliver decision support systems and automation of those decision support systems with diverse teams like that. What are some of the challenges that your your face well. I think one of them is is I don't I don't. I don't think that's unique to us. I'm sure everybody deals with size. So once you get a specially if you think about like the scope of Walt Disneyworld if you think about just like the number of resorts sports and the number of theme parks that we have just here while disneyworld trying to produce tools that will deliver optimal decisions for all of the decisions that have to be made for any given problem even just simply as like oh we wanna make we want to build a tool for the resorts well depending on how you count the resorts here we have up to thirty different resorts here and each resort has potentially like ten different different room types and they've got different seasons so I think the scale of problems quickly gets out of hand and is a challenging problem so especially on the optimization Asian side. There's a lot of smart guys on our team that have optimization backgrounds that are equipped to try and deal with these scope of these problems and then on the more or stats side. I think something that we struggle with a lot is and again. I don't think it's unique to us but it's very difficult to make causal conclusions from from data that comes from non experimental settings and so that's always like a constant challenge. I think that we're we're always aware of what do you mean by that. How come you understand what you mean. Non Experimental sudden's well so well we the the gold standard for Khazal is usually running designed experiment because you know you've randomly assigned treatment and control and so- background factors at least on average shouldn't affect your your outcomes but when you're you're making decisions in a business environment and you're not allowed to run experiments then it becomes a challenge because well you may have business decisions may have been made because because they anticipated a certain outcome but then the but that goes to the point that like all models are inherently wrong but many are useful right. I mean there's an old saying in terms of like data science like there's no perfect model. There is no perfect model but but an experiment you don't actually have to rely on a model to rely on your knowledge of the fact that things were randomized iced and so and so that can help you so yes. All models are wrong. The problem is that sometimes you don't know how how wrong they are and WanNa find. That's that's all right yeah and wh and what you end up doing is you end up fitting a lot of different models and tweak them and you you look at the results like that doesn't make sense and you socialize them with other people on the team and they're like. Oh Yeah. That doesn't make sense you go back to the drawing board you fit more models and at the end of the day. Do you really know that the model that you produced is the truth and many anytime you don't and so that's kind of what you get and so dealing with that. I know there's been a lot of work lately. That's been like I would say advertise but that's probably not a weird word but there's a lot of work in the Causal Modeling Literature La- lately like from Judea Pearl and others who take directed a cyclic graph approach approach where at least in theory. There's this promise that if you have the right underlying causal directed a cyclic graph for your getting really matthew here but causal direct today cyclic graph then yes in theory you could estimate the right causal effects. The problem is is when we try to implement those in practice oftentimes oftentimes when we think Oh yeah that's the right causal graph if so we should fit that to our data and we should get the right effect and we do that and we still get results that are a little bit weird when you bring that to the business and say just that how often do they they just say I have no clue yeah is over. I mean it's a it's a really theoretical issue so we I mean we sometimes the details of the theoretical issues aren't aren't as of all that interesting to our but so how do you work with your stakeholders a house that interaction so that you can translate what you just talked about to something. That's a meaningful for their outcomes well. I think there's including them in the journey as helpful because then they then they generate a a healthy understanding of okay so this is kind of how statistics works this is kind of how data science works and it's not perfect and so I think they generate great a healthy understanding that helps them work better with the tools because they know when they should be skeptical and then they maybe get a better idea of when they feel like they can trust the the outcome and I think it's always healthy for everyone everyone at least until we figure out all these different problems that you come up and data science to have a certain amount of healthy skepticism with the stuff that comes out of data science hi and analytical models so last year at Disney state in conference. You gave a talk about reality versus hyper V. I A year later. Where do you think we all are in that hype cycle. Have we changed anything. Are we still there and where do you. Where do you think we were last year and this year well well so let me so it actually kind of relates to part of my talk that I gave this year and I think part of the reason why there's maybe some hype with. Ai An that. Maybe is not necessarily founded is like I don't think that the terminology is clear and that's been frustrating and so actually part of my talk this year I made the argument that there's this notion out there that machine learning is a subset of artificial intelligence and if you just google search which on machine learning verses artificial intelligence you will see any number of articles that show in a plot that shows like artificial intelligence is the big circle and machine learning as the Small Mall Circle and is contained within artificial intelligence and I think that's been confusing because if you look at machine learning text books you'll see stuff like linear regression and logistic ticker aggression stuff that was invented in the eighteen hundreds before people were thinking about programming computers to be intelligent and they weren't developed for that for that reason and so I I think if you look at the history of the methods that we call machine learning it doesn't make sense to call them a and yet now everybody's calling everything and I think it's kind of frustrating and his lead to confusion. Maybe hype I don't know every model. Is You build a model. That's right because well. I wanted my computer to do it and that's what a is is anything I want my computer to do. I do teach a computer to do it and updated every day but still I still just so. I- argued in my in my talk that machine learning is not a subset of a and we shouldn't think about it that way because it can lead to confusion and I I did my best to cite some experts in the field. There's a paper by Pat Langley called old and he was the original editor of the Journal machine learning and it's called the changing science of machine learning and he has some great quotes in there where he he was kind of reflecting on how the field has evolved evolved and that it it kind of made the break in maybe the nineties and two thousands it kind of became hyper focused on prediction problems and kind of broke away from its more traditional. Ai Roots and so. I think it's healthier to think about machine. Learning is more focused on prediction these days than others a complication that you have reinforcement learning owning which in my opinion is more closely related to like optimization methods like that you would find an. Or programs like linear programming mixed integer program or dynamic programming in fact more close cousins to that where there's the rest of machine learning which is hyper focused on prediction and it's not necessarily prediction with the goal of being a either no it's prediction in terms arms of we want to find that one metric that can help make those decisions for.
"beard" Discussed on Big Data Beard
"Hi everybody this is corey met with the big did a beard and i'm excited to <hes> to invite our guest on today who clearly had some foresight that big data was going to be a big deal because he grabbed at big data as a twitter handle mr ben lorca ben. How're you doing today. Eh great great to be here very cool. So how in the world did you recognize. That big data was going to be such a big deal surly on that. You were smart martin to grab that most of vaulted twitter handle up to all. I think that if you look back to the early days when big the term big data got coin you will find out that actually i co wrote an o'reilly report. It was one of the first reports <hes>. I don't know the exact title but i think i'm pretty sure big data is into title dare software that report and and then the shortly after i i mean twitter might have been a couple of years old so i decided well. Maybe i'll check check this handle so i was shocked that it was available so i just grabbed it. I had a personal twitter handle and then i try i to keep to twitter head those going using different browsers and then i gave up at some point i just basically <hes> shut down the other the handle and it still up and <hes> but then i tell people i don't tweet tweet tweet over this other handful big data yeah yeah i feel like at big data is definitely the better handle to have but let me ask you this ben. If in today's age if you had to pick your first twitter twitter handle with all the new trends and technologies. What would it be if you could if you could pick the next one the next at big data. It's hard to say right so i mean i think that the certainly a i writes <hes> machine learning i i mean i think if you want to be opportunistic and <hes> grab something that will be kind of hot for a few years would be five g. Maybe at five g. I like it. You nailed it so ben. Tell us a little bit about what you do as the <hes> the chief data scientists for riley media so so in my prior life or riley i weigh in. I had a lot more time. I actually worked on a lot of data relay. Really data science related projects <hes> mostly revolving around <hes> figuring out <hes> the next technology trends so we had access to many different data sources of time job postings <hes> <hes> book sales <hes> and a few other related ed <hes> data sources so that's actually how we became early users of <hes> some of these tools like the m._v._p. B. b. databases <hes> and then i started playing around with pig and duke and dense spark as one of the early people who talked about spark and kind of advocated for it but <hes> <hes> at some point i think they asked me if i wanted to share strata data which scott disick conference at that time <hes> i said sure <hes> and then they kept adding more conferences. They added more strata locations then doing then. We started the conference. <hes> strata happens in three locations. <hes> a a conference happens in four locations <hes> and then i'm also now co-chair of tensor flow world which is a conference we do with google which is happening for the first time in late october so at this point. I'm basically <hes> focus mainly on making sure we have the right conference conference program which <hes> in our world means the right mix of two day trainings half-day tutorials keynotes sessions sessions as well as of course <hes> making sure that <hes> <hes> i still stay connected to <hes> the field and <hes> <hes> i have an understanding of what's <hes> important and <hes> and along the along the lines when you have a conferences. Usually you have to develop content to make people aware of what's important is the space and get them excited so that the <hes> and then and then rallied l. eight them around the gatherings that regional gatherings that the <hes> our conferences have become and the the folks who co-chair chair these conferences with you. You've got some big name folks who are really crucial to the development of many of the the big data technologies today. What's it like to work with such a cool and interesting team of folks including people like doug cutting and others great so we usually have fun and <hes> we the <hes> <unk> compare notes about what we're seeing in the space so dug in particular has a very kind of <hes> a great into the enterprise now that <hes> he <hes> he now that <hes> he said cloudera and <hes> we also <hes> kind of <hes> <hes> compare notes about what we're hearing right so what what are you hearing from your customers. What am i hearing from my network work. What kinds of <hes> use cases are you seeing. What kinds of questions are customers asking and <hes>. What new tools are you following yeah. I think that's a to me. That's the the an interesting place you sit because you get to work in in while it's also industry. It's kind of an analyst firm right that does a lot of publications rubbing elbows with people who are in the you know the the the product side so i'm products but also with customers so it's kinda. I want to spend some time with us is is really understand. What are those some of those macro trends today so we we've heard at a handful of conferences people talk about the you know the end of moore's law right c._p._u.'s no longer you know accelerating at the rate it was previously but we've entered but many people are calling kind of this moore's law era of machine learning where like you know every six months the number of papers or tools being published around machine learning doubling. What is it in your from your perspective that has is just just absolutely set machine learning today i on fire in the last few years so i think i think maybe the resurgence in excitement admant the happened around twenty seven twenty twelve right so when when deep learning when people into deep learning community started setting a <hes> very impressive records and speech and computer vision and then obviously <hes> even and set aside deep learning so because i think at this point it's fair to say that many enterprises are still into early stages of exploring that aplastic of <hes> approach <hes> technologies and tools <hes> there was also as you as you guys know also the earlier wave around <hes> <hes> the big data technologies data management e._t. L. streaming so there were there it was kind of that prior investment in in collecting and aggregating normalizing cleaning your data and so <hes> <hes> you know the early applications of that would be like <hes> a business intelligence reports <hes> simple will average as simple counts <hes> maybe trends but at some point you start thinking well what else now that we have the state. Maybe we can use it to improve. Other processes may be automate <hes> some some <hes> workflows or or our extract even higher revenue or higher profits from certain <hes> <hes> systems and products so i. I think that that's a there's there was a natural evolution so <hes> but on the other hand you know when we when we did the survey recently as to what are some of what are the bottlenecks for people who want to engage or use a i and machine learning reading <hes> within the company <hes> so one of the first things we did was we asked people to self identify themselves are you who in the early stages. Are you a begin. There are you. Do you have some models in production or do you have a lot of models in productions of kind of like the big in in their intermediate advanced categories so what we found is that <hes> the people who are still in the evaluation stage right so the the the beginners der bottlenecks tend to be around <hes> just figuring out the right use cases for <hes> and now at a i or or perhaps also another bottle neck <hes> convincing the rest of their company <hes> that these technologies are going to be powerful and important on the other hand to people who self described themselves as having a much more mature or advanced practice they cited things like last date our data quality issues or <hes> <hes> lack of skilled people or difficulty the <hes> hiring for <hes> some of the things that they need to get down to hide of this skills gap so <hes> so while there's a lot a lot of excitement around atlanta a i <hes> i think we're still in the very early stages so the other thing i would like to point out is that <hes> <hes> <hes> there has been so much research done right so i think i gave a presentation where i- i- estimated estimated. There's over a hundred papers on archive dot org in in m. l. That's uploaded everyday. There's been so much research done <hes> <hes> so in many ways one can one can say that <hes> there's actually a lot of <hes> <hes> things already that the companies can and use at this point even even if <hes> god forbid <hes> people stop publishing papers right so there's a lot of things that still need to be implemented <hes> within company so <hes>. I'm very bullish therms of just <hes> the opportunities for companies who are serious about the <hes> using a and m. l. There's just a lot of things that <hes> <hes> they can deal with it. Now are available well. This is i mean it's it's quintessential like you know hype cycle kinda kinda place right. We're we're we're coming out of this place where marketing companies are marketing folks. Had these ideas that i'd say i saw a i has been in the press. It's been in every product announcements but now <unk> out starting to like. It's you know me feel like you know. We're starting to see some of that. Slow as organizations as you identified are starting to figure out but what does it really mean like how do i develop l. a. but use case and you mentioned that you you did the survey. I think that survey actually is kind of interesting so you still a lot of a lot of people some some basic basic questions around where they in their journey. You know how are they. How are they using it today but i'm curious when you when you look at that you know that the responses that you got from a i'm guessing a pretty broad <hes> representation of the industry was there anything that stood out to you in that survey that like surprised you so the people in the evaluation stage rights the people who who who said <hes> they're having difficulty identifying vying use cases or or convincing the rest of the company to pursue machine learning and they i by the way <hes> most of what we call a is really really machine learning at this point right <hes> so so in many ways that that that bottleneck that particular challenge which has remained <hes> ever since i basically <hes> been in the field right so that's always been a challenge for companies pretty much for <hes> <hes> many technologies <hes> so so in some ways. It's not surprising but in some ways it's surprising right because basically like you said we read a lot about <hes> <hes> not just <hes> there's articles about the the really leading being edge that companies out here in silicon valley but the now we're also beginning to read articles about regular enterprises using machine learning so then sometimes sometimes.
"beard" Discussed on Big Data Beard
"Hey, everybody. This is Corey Menton with the big data beard. And we are recording at Dell technologies world in Las Vegas. And we've spent some money. And so the money we've been spending has been powered by my favorite credit card in the world MasterCard, and I am so excited to have our good friend, Nick Kuku VP of data analytics, and cyber security for MasterCard. Joining us today, Nick, how're you doing, buddy? It's been a spectacular day here at Deltec -nology where wild conference. It is something I can't tell you that the Elian where booth out there already to play games. I know it's so little they're planning, what's the rocket league Iraq, it, what's it called? I don't know. I just on better than you. No summer and salt, like we'll do miss a favor. Why don't you tell a little bit about yourself? Ano- problem, you want to one of the greatest things is I'm a data guy at heart. Always has been from my days when I was a cast member at the Walt Disney company all the way through now at MasterCard. It's all about what the data that I get to play with, you know, creating a bigger data set so that always has intrigued me and I keep get gets better and better bigger and bigger data sets more powerful machines actually process that data and the insights that is what really gets me excited in the morning when I wake up, so it's been a great ride these last five years. I gotta tell you very cool. So we've had some time at Disney, but now you're a MasterCard and master guards here at the conference. You guys are giving some presentations, introduce at a high level, obviously, I think we can make the jump on my MasterCard about data. But, like, tell me what massacre thinks in terms of data analytics while you're talking. Well, first Ashley Cory what I want be let everyone they walkway at one thing from this is MasterCard's not a credit card company. We don't issue the credit cards. Rashly technology company, rerun the network that actually powers those carts. So we'll do everything from not just the card itself. But we're in the connected car all the way to allowing you to order, grocery three refrigerator, our technologies being embedded everywhere. So as a technology company, we take a look at how we can make things easier. But yet continue to do it in a safe and secure manner. Our prime directive is all about safety security, and now actually bringing in privacy to make sure that comes into play. But the first and foremost, it's always about a safe transaction secure transaction so that we can create that trust between us and the person actually holds that card just tell the audience how many transactions MasterCard do a day of the week, a year, it's fashion article. Well, this is the exciting part of what I get to do. So I'm gonna give you some sense. We actually were processed about seventy four billion transactions every year. Corean vegas. And the amazing part is, it's not going to be out of the room to say in the next two three years that can double two hundred and fifty billion as we take a look at it. And that's the data set I get to us. I mean, I got two point five billion cardholders out there that are using MasterCards goes across twenty three thousand financial institutions, fifty million merchants two hundred ten countries and territories globally, and the insane part is actually this though soda four billion transactions when they're lined up in the queue. And by the way, if you, if you being a Disney guy, being acute guy Little's law, always about Little's law in the queue itself, we actually got to try to process, those transactions in about one hundred and thirty. Milliseconds. Milliseconds milliseconds. Timescale the most people are really comfortable with. And when you thought about feud had been here, ten years ago, we'd be looking going. We're just happy with seconds. Yeah. And now the team is, is looking at saying, we want to be milliseconds, and how do we even get better at it better performance better scale, more scale, and it's just as an old guy just boggles my mind. Right. So it's been a great, right? I got tell you very cool. So when I think about credit card transaction data as obviously technology which I love the thought that data to me though, is that is, is so personal like the way people use their credit cards. It's like it's their life, and I can only imagine the kinds of crazy that you have, but the responsibility that you have. So why is it that, like, when I think about MasterCard is a data company technology company that I've heard you talk like you're really passionate about the security in the stressing helping understand why that's so critical. Well, that versus the trust factor, first and foremost. And one of the ways we get that trust back to. Believe it or not is we anonymous all of our data. So I don't know if you're holding that card. I don't know the individual holding it. I just know the card and what's being done with the com. So that's, that's how we start to work through trust..
"beard" Discussed on Big Data Beard
"New York. City <Speech_Male> <SpeakerChange> can't wait. <Speech_Male> <Speech_Music_Male> <Speech_Music_Female> <Speech_Music_Female> <Speech_Music_Female> We've <Advertisement> learned a lot <Speech_Music_Female> about big <Speech_Music_Female> data. <Advertisement> But <Speech_Music_Male> now to <Advertisement> get a bit <Speech_Music_Male> personal <Advertisement> <Speech_Music_Male> in a segment <Advertisement> <Speech_Music_Female> we'll lead to <Advertisement> call <Speech_Music_Female> rapid <Advertisement> fire. <Speech_Music_Female> <Advertisement> <Speech_Music_Male> <SpeakerChange> <Speech_Music_Male> So Reynold is <Speech_Music_Male> there a <Speech_Music_Male> is there a really great <Speech_Music_Male> book that you've read recently <Speech_Music_Male> that you would <Speech_Music_Male> recommend to us? <Speech_Music_Male> <SpeakerChange> This <Speech_Male> is not a very <Speech_Male> inspire inspiring <Speech_Male> obser-. But having <Speech_Male> that she'd read a book <Speech_Male> the last <Speech_Male> year <Speech_Male> <Speech_Male> before that, <Speech_Male> I mean I <Speech_Male> used to read, probably <Speech_Male> a lie back in <Speech_Male> college and high <Speech_Male> school, but probably <Speech_Male> know lately. <Speech_Male> <Speech_Male> <SpeakerChange> <Speech_Male> So if you <Speech_Male> if you had <Speech_Male> a song, I don't remember <Speech_Male> what song was playing when you <Speech_Male> walked on. But if you could <Speech_Male> pick a <Speech_Male> song <Silence> would you would <Speech_Male> you pick any particular song <Speech_Male> to walk onto <Speech_Male> onstage? <Speech_Male> <Speech_Male> Hype song. <Speech_Male> <Silence> Maybe <SpeakerChange> a wedding <Speech_Male> song <Speech_Male> sows in <Speech_Male> year dance or <Speech_Male> what's that <Speech_Male> <SpeakerChange> a <Speech_Male> west gonna kill me <Speech_Male> now? <Speech_Male> Remember, <Speech_Male> the exact name <Speech_Male> of that saw you <Speech_Male> remember you have a life. So <Speech_Male> that was good. I do remember <Speech_Male> I have a way <Speech_Male> that's perfect. <Speech_Male> So is there a piece <Speech_Male> of technology <Speech_Male> that is making your life <Speech_Male> worse, <SpeakerChange> <Silence> dependency <Speech_Male> management <Speech_Male> and Bill systems <Speech_Male> to, <Speech_Male> to <Speech_Male> collection technologies? <Speech_Male> Nice. <Speech_Male> Is there <Speech_Male> personally, <Speech_Male> <Silence> what is your biggest <Speech_Male> money? Pit. Like, what are you, <Speech_Male> spend your disposable <Speech_Male> income? <Speech_Male> Bein <Speech_Male> fundings. I'll <Speech_Male> give you an example. I have a <Speech_Male> car that I've race. <Speech_Male> <SpeakerChange> And it's <Speech_Male> <Speech_Male> I <Speech_Male> the biggest <Speech_Male> purchase ever <Speech_Male> done without she at tesla. <Speech_Male> <SpeakerChange> Okay. Just <Speech_Male> which ones you get <Speech_Male> although X <Speech_Male> pretty cool <Speech_Male> car. <Speech_Male> <Speech_Male> The <Speech_Male> the <Speech_Male> I mean, I don't agree <Speech_Male> with everything they do. But <Speech_Male> I think it's a great company <Speech_Male> doing <SpeakerChange> very interesting <Speech_Male> stuff. I have the exact <Speech_Male> opposite as a race car <Speech_Male> that brooms gasoline <Speech_Male> is polluting, <Speech_Male> the earth every time <Speech_Male> I drive into the exact <Speech_Male> upset. Are you <Speech_Male> are you watching TV <Speech_Male> shows like <Speech_Male> Benji on anything lately? <Speech_Male> Yeah. <Speech_Male> It's watched <SpeakerChange> the <Speech_Male> there's an ethic show <Speech_Male> robot. <Speech_Male> Loved death <Speech_Male> <Speech_Male> might have brought in the sequence <Speech_Male> wrong <Speech_Male> miniseries. <Speech_Male> <Speech_Male> I think sixteen <Speech_Male> fifteen different studios <Speech_Male> getting together <Speech_Male> and creating. Very <Speech_Male> small <Speech_Male> short show, <Speech_Male> like ten to fifteen <Speech_Male> minutes real each <Speech_Male> one episode <Speech_Male> and focus on. Different topic <Speech_Male> was pretty interesting. <Speech_Male> Interesting. All <SpeakerChange> right. We'll check it <Speech_Male> out. Our von <Speech_Male> a question. What's the next <Speech_Male> really interesting <Speech_Male> place? You're going sometime <Speech_Male> <SpeakerChange> going <Speech_Male> to Iceland in may <Speech_Male> the way. <Speech_Male> Yeah. That's <SpeakerChange> awesome. <Speech_Male> Are you going refunders <Speech_Male> for work going <Speech_Male> for fun? I don't think it's a lot <Speech_Male> of. <Speech_Male> <SpeakerChange> <Speech_Male> Going on there. <Speech_Male> <Speech_Male> <Speech_Male> Maybe maybe <Speech_Male> going mostly for fun, <Speech_Male> then I'll be visiting <Speech_Male> our Arndale <Speech_Male> center and euro <Speech_Male> being them to them, <Speech_Male> and they'll be going to <Speech_Male> <Speech_Male> Luzon and <Speech_Male> Switzerland's for <Speech_Male> Scala days. 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Thanks. <Speech_Male> <SpeakerChange> <Speech_Music_Male> <Speech_Music_Male> Thanks for listening to <Speech_Music_Male> the big data beard podcast. <Speech_Music_Male> <SpeakerChange> <Speech_Music_Male> <Speech_Music_Female> The music from this <Speech_Music_Female> episode by <Speech_Music_Female> Andrew bell. <Speech_Music_Female> Check him out <Speech_Music_Female> on itunes <Speech_Music_Female> or Spotify. <Speech_Music_Female> <SpeakerChange> <Music> <Music> <Music> <Music> <Music> <Music> <Music> <Music> <Music> <Advertisement> <Music> <Music> <Music> <Music> <Music> <Music> <Music> <Music> <Music> <Music> <Music> <Music> <music>. <Music> <Music>
"beard" Discussed on Big Data Beard
"Data lab is joining this and he's brought along Ozzie Johnson deputy deputy CTO for domino data lab. John Ozzy how you doing today, voice doing great. Thanks so much for having us on. Doing wonderful John, you're the you're the only person in history. That's been on the of beard podcast three times now. Yeah, it has more times, and you get a jacket to know. It is my I have two high level, professional goals in my career in enterprise software. One is to have people stop saying on premise, it's on premises people for crying out loud, language, works, and language matters. Secondarily, would like to be kind of like the Burt Reynolds to the to the big data beer pogs like to the Johnny Carson show in the seven like, maybe like you're at a show and you like someone fell through ever. And he's around like just kind of, like not to the point of guest host, but almost two guest host. And if there's a satin jacket involved, I'm down. You gotta grow that machine. Learning mustache, though. Just look like Bert. I I'll do it. It'll be like Sharkey machine. It'll be great. That's. Well, John, we, you know, we know you in a different context. Tell us what you're doing over at domino, data lousy days. Yes, I am know sort of shifted gears a little bit, and one of the things that sort of I've seen over the last decade or so. You know, we've all heard the explosion of data pitch to add nauseam and all the quotes about, you know, it was Eric Schmidt, quote. That more data's been created in the last two years than all in the history of mankind and everyone has the, the hockey hockey stick, erves. But then there's sort of a question of, like all right. Once people figure out the infra once people figure out, how to store and move the state around. Then what then? So what, what's the what's the what's the what actually the most important, and most valuable things that can actually be done with this data. And I think I was kind of looking around and certainly the area of data science and artificial intelligence and machine learning. And, and how that's actually applied from business context. Seemed to be the most interesting thing when I kind of came upon domino, and they're sort of the company point of view, and they're sort of vision of the future that, like, okay, so if you assume if you work off the assumption that, yes, there is an explosion of data. We've heard about it for ten fifteen years, we've solved, some of the basic storage, and some of the basic transport problems, where now at this last stage of like, okay, what are you doing with this stuff? And what are the things that really matter? The, the perspective that the founders have is that will, you know, the difference is actually the models that are built as being like the artifact or being the manifestation of all this work. It's you know it's not just sort of trouble shooting operational systems, all that super valuable and security is actually, like, how do you take that data and then build models that actually? You know, fundamentally transform the way you do your business. I think you know, there are couple of touchstones companies out there net flicks being one of them Amazon being another that sort of proven their ability to, to really kinda dominate their markets with, with, with model building. But the same way that software eight the world twenty twenty five years ago. I think there's this notion of there's a new sort of a species sort of this, this new kind of digital creature that is the model but it lacks the same organizational rigor lacks. The same understanding and knowledge and lack same sort of governance and system of record that you would apply to everything from, you know, a customer record to software application, so it seems like it's a ton of greenfield, but we're getting there fast. So the attraction for me to domino was, like come be a part of this help help build build this company in the space that, you know, we feel like. You know, we're all we're all headed in that direction. You know, Amazon Amazon's the Netflix and the St. the stitch fixes, and the, you know, rent the runways, there's, there's kind of the Canaries McColl mine, but I think we're, you know, every industry has to get there. Yeah. Absolutely. So also, you've been around domino, a bit longer. John John's do join the team. And I think domino, a brilliant higher. I'll just say that. But I think yeah, I'd love to hear from your perspective just at a high level like what is domino? Data lab. Sure. Yes. So at the at the highest level say that domino is a platform for data science. So this is really bringing sort of all of the familiar concepts and abstractions, that you think of when you're thinking of a pads platform, as service and creating something that is specific to the needs of data. Scientists. And really the into end workflow it lets them go from sort of asking a question, refining it, formulating it, and turning it into something that has value to their organization, where their business, and then repeating that over and over again. Very cool. So it is interesting because I hear a lot of organizations in their offerings. They claim to be a platform. So, so help me understand. Like what, what are the unique challenges, I guess that, that domino is helping they decide to solve and helping, frankly the market deal with that really sets you apart as a is truly a platform and not just a, a platform poser, if you will. Yeah. So, so I think the thing, the thing that would hold out as really distinguishing characteristic of, of a platform is about being cohesive that is all of the things that you are abstracting, or pulling together are pulled together in a way that, that makes sense and that whatever you focused on in terms of, of your users, your primary consumers, you are removing or minimizing concerns outside of their best and highest purpose. When I think of platforms certainly, the example that I go to immediately. And I imagine most folks to would be something like Hiroko, you know, it was great for allowing apt developers to rapidly. Interet and then basically push. They're really only concerned with their code. They're not concerned, really even with other elements of infrastructure data connections beyond understanding what they are sort of taking away, all of the noise and letting folks work, most efficiently and with domino, we are doing that for data scientists. So when it comes to scaling managing life cycle. All of those things are taken care of in the work, which is done on the platform. We do our best to apply sane defaults to. So that is implicitly version things picking up your results your changes to your data changes to your code and committing all of. Those things in a way, that is version controlled in support of reproducibility interesting. So you mentioned there that it's a there are some parallels teams a platforms to development activities. We've known in the past software development. Right. But it's you know, when we talk with, you know, other data science and data sites. Teams model development is a fundamentally different process than Soffer development. Right. I mean, help me understand our help, the listeners really understand, like how model developments so different than software development processes, we've done in the past Schorr, the thing that, that I would consider most most critical here with the really the biggest difference, is that with traditional software development, you really have a different notions of, of correctness right? That there is there is some particular behavior. Some, some output that you can. Fine a working toward that you can test against your, your testing, in, in some sense when you're building models. But your, your definition of correctness is more case by case in really. It's, it's a it's a gradient. So it really think it really does want for a different set of capabilities. And one of those that we speak to most directly there is that there's a concern about, not just your code, but your data engineer results as well. Yeah, I think another way to think about this. And this is something. Because there's something so deterministic about building software. There's a, you know, for, you know, despite all of the progress of agile and continuous deployment and continuous integration. There's still a notion, a bit of a notion of sort of set it, and forget it. Once you get the functionality, right? And I use his evidence as much as we like to be on the bleeding edge like you not much Cobol is still out there in the world. You know, if you think about like how much and I've, you know, it's I'm not a young man, but, you know early in my career, I remember working on mainframes that at the time were ancient. And yet, if you think about in financial services in oil and gas in, in retail, and some of these major industries, a lot of this sort of batch, processing is still done on mainframes with code that was written by people that have long long since retired, and I think that the, you know, the difference from a model model standpoint as he spoke to is, there's no, there's no static notion that, that the fundamental fibers of model can be changed by the data that flows through it. So whether that is. You know while you're training or while the model sitting in production so like drift is real, and you have to build that into it, and I think that, that's one really important factor. I you know, we all think about, again, going back to the net flicks, or the Amazon recommendation, models, none of those static. You know, there's, you know, I can't imagine there's much code that was written five ten years ago with either of those services that are their still servicing and production, there's, there's a constant integration because of the nature of, you know, the science aspect of it, and I think that, that's one fundamental different. You know, I, I can't imagine there's a Cobol equivalent, but. So when when domino data last thinks about solving this problem with the platform, when, when we're doing research that looks like you really solve it in a variety of ways, like there's some critical pillars functionality of domino, data, would you mind kind of walk in his through kind of those key? Pillars of functionality that really comprise, the domino day lead platform. Sure, yeah. So the, the way I think of this would be in really three three or four and tend to think of this a bit like narrative, which is I think is best described in terms of building a data science practice, or team. And where the starts is even with really team of one or two again. You, you want your data scientists working on data science. So as soon as the amount of data or the complexity of model moves beyond, what can be done on a laptop, you now have a need for scale, certainly there, folks that have wide ranging skills. But if your data scientists are working on DevOps tasks if they're worried about. Out instance, lifecycles and some provider, they're likely not working to their highest purpose. So one of the first things that we address, there is a scale I would call it a self service with constraints to enable data scientists to do what they need to do. But still offer a visibility and control to the folks whose primary job is managing infrastructure. Ideally, we make the world easier for both sides of that. And that's an aligned interest. That's great. The second is about collaboration and really reproducibility. So when a team starts to grow beyond the number of people that can really sit in a room and, and have a an easy conversation. You need a way to preserve the work that's done. And make it available to be used as new members come on or retain when they go. So our value, there is again about version. Ing, everything that goes through the system again, in terms of code, data results making that searchable and really positioning ourselves as a as a system of record for what work has been done making discoverable for use in Newark. So now moving forward, we've addressed really two things..