It's my voice, I know. Dude, I'm supposed to record all day and film all day. My voice sounds like this, and it's very important. It's not good. My bestie. So much honey. My house is getting clean today, so we're going to a knife. Responsibility. Dana's here, my voice is gone. So like a lot of this is gonna be voice over, but I'm manifesting in 2022 that I'm gonna be in a country music video and one of my country's star friends is gonna put my name in a song. It's easy. Ken's. It makes sense. It would be fun. Ken's. Ken's. Ken's. Ken's, there's like so many things you can, I'm not, honestly I didn't even work, so. Anyways, we're at Highland Park Village, we're filming a video. So I've been drinking hot drinks and now I'm drinking a cold drink and that's just not a good idea. My voice will get better throughout the video, I promise. We just left Anthropology. This is probably the biggest Anthropology I've ever received. By received I mean paid for. So, yeah. The Taylor's flu. We're back to so many packages and just things my sister's gift. More stuff. All right guys, it's 320. I got this like throat spray. Let me show it to you. My voice is slowly coming back. I'm about to go and get rest for the rest of the day, but I wanted my brother to come over. I don't know. This stuff is saving my life. We just filmed an entire video. We got everything done today, which I feel so good about. So I need to send that over to my editor. And then I have so much stuff for the podcast. I have to prep for like six episodes next week in New York and then I need to get all my LA recordings scheduled, which I've been doing for like two months, but literally I start planning those scheduleings like three or four months before I go. The house is so festive, a sneak peek we made, but it just feels like so cute. This candle we got today, anthropology. It smells incredible. I don't know what it's named, but I'll try to link it below.  So love that. I've been editing, but I want to remind you guys that I have my gift guide on Google Doc. It is linked on every single video and will be from here on out until Christmas. So you guys need a good gift ideas. I, it's like my biggest love language. I love gift giving. I'll have it linked below. Look at how cozy my house is right now. Oh my God, I'm dying. Finished work, I therapy. It is now 8 p.m. I'm gonna go shower and read for the night. 10 more books or 11 more books to read in the year. I'm right on track. I'm going to do it. I have to work on this. I need to read like three books this week. So I have all of the stuff that I've just been relying on for my voice. It's not the best. Also, this is what you have to look forward to when you get older, everyone. I'm excited about this new roller laundry basket. Only problem is that it is literally bigger than my last one. Difference is that it rolls, but I don't know how great that's gonna be because I still have to carry it down the stairs. Let's think about this stuff. Oh, much better. Cause then I can roll, take down and roll, roll, roll, roll, roll. I think I've figured out my laundry dilemma. I got it on Amazon. I will link it below. I mean, it's kind of beautiful. I just came out of the shower. Fitz is just waiting for bed like this. Like, is that all the sweetest thing you've ever seen? He's waiting for me to sit next to him. Have my candle going. I'm about to read. I think it's like 9 p.m. I'm wearing my favorite skim pajamas. I live in these. These are as small, but I definitely prefer this medium size on me. I have those in gray, but they don't have that. I have my glass of water. I'm gonna read hopefully an entire book tonight. Finish one, read another one. Also, this is like the best way to drink water. Glass straw, this glass, like do you guys just also get really obsessed with like glassware in straws? Guys, it's 7.45. I've just got ready doing this thing where I put on real clothes. Here we are. Here's my outfit, my voice. Oh my God, it feels so much better. It sounds better. It doesn't sound perfect, but it sounds better. We've got little Mr. Fitz over here looking handsome as ever. This jacket is from Free People. I got it in my newly subscription. I have a skim as a body suit on, not skim, spanks. These jeans, I'm honestly kind of over the asymmetrical cut. I over wore them, but I mean, I like how they fit elsewhere and whatever. Then I have my boots from Sam Edelman last season. I'm gonna take the dogs out and then head to get coffee with my dad this morning. Guys, my dad showed up with old merch. So cute. I just got home. I was recording ads to send in. I'm watching Alexis and TK. Alexis is actually also coming on my podcast in January. How exciting. I came home to make my self breakfast. I was like being so great. And then I realized that I don't have bacon. And so I had to order an I had Chick-fil-A. What are you gonna do? What a beautiful treat. Perks are waking up so early. So invalid. How much is in this? A Rogers quote, the goodie in the thing. Seth is over making me my tea because he wants to hang out and I don't have a voice. As much as possible, I'm literally gonna eat spoonfuls of that.  Here we are. Thanks, brother Seth. Yeah, that should be good. And realized that he's literally spoon feeding me. My honey, thank you so much. I'm literally doing this as I'm texting my friends about what bars we're gonna go to tomorrow night. And this is why this is why I'm here. It's 3.30. I've just been working on so many upcoming podcast episodes. I planned all the New York ones and then I was doing outreach for my next LA trip. She just finished like she doesn't need more. I have had so much honey and it has saved my voice. It's better at least. Gonna go to the closet and plan out my outfits for this week. I leave for New York on Saturday. I'm gonna be gone and busy and gonna be traveling. I just need to like pack some stuff up. Seth and I might be going to Lila's for happy hour. I'm not sure. So I need to get on that. I mentioned this before when I'm actually working with a stylist and she sent me all these looks for like as potentials basically for my New York trip. I mean it's literally the best thing ever. Amazing. This is her Instagram too. If you guys wanna go follow her. I mean she just has like great like outfit like inspo anyways. But like I'm obsessed with her. If you guys wanna virtual stylist, DM her obsessed. I decided I'm gonna replace this rack because it's about to fall over. I knew on the rolls and these clothes are all going to my friend's house but I did plan some outfits so things are pretty much good to go. It'll just be a lot easier to pack on Friday when I get back from home I think. I think as of right now I'm gonna go home tomorrow.  By home I mean, I'm like from 40 minutes north of Dallas. Stay there, do Thanksgiving there and then come back Friday morning and then Friday we have like a Christmas event. I need to pack, get ready and then I leave at four a.m. Saturday morning. So honestly I might go out Friday night too. I just stay up and then sleep on the plane. So that's the plan as of right now. But I think I'm going, this thing obviously has to get rid of it got ruined with water damage and then I'm gonna get another roller rack so I can just have like outfits actually planned out and good and ready to go. Like this is just not working for me and actually start ranking outfits again. So that is the plan. But Seth just texted me, I think we're gonna go to Lila's for happy hour. I am kind of done with work. I can just do it later and I've been waiting for something to arrive all day and hasn't. Beautiful. Good morning guys, woke up early to get some work done because I'm ending my work day a little bit early and driving home tonight. I'm proud of putting together outfits. I'm just staying at home for two nights and we're gonna go out I think both nights but it's Thanksgiving obviously. I wanna talk to you guys about these by the way. I'm gonna show you some of the things I've been loving because I feel like I just haven't given you guys like much substance in the vlogs lately but I recently picked these up. My stylist Brittany sent them to me to buy like on my dock thing and they're from Jeffrey Campbell. They are the best boots ever. If you are a wimp with heels and you need a nice boot that you can wear at a night on the town all day, these are it. They are so beautiful. Like look at them. They're so good. So I'm bringing these as like my nice boots to wear and then I'm obviously gonna be wearing my ungs. Don't worry about that but I'm telling you guys right now like if you buy anything this winter season these are so good. Also my skims long sleeves. I need every skims color bodysuit like desperately. It's not even funny. It's actually something I desperately, desperately, desperately need. So I just had a long sleeves for now. I think I'm gonna wear this tonight just to get dinner with some friends from home that I've like literally known since I was probably eight when I first made to make any. And then I think I'm gonna wear this sweater for Thanksgiving tomorrow. I got it from Zara. It's probably the best sweater that I own. This little chocolate brown number. I mean, it's perfect. I also have this brown puffer that I'm gonna bring. I might wear that tomorrow. I don't really know. It depends on like what everything ends up being. This is the bag that I use when I go to my mom's house though. It's like this weekender bag. The dogs are coming.  Maddie, my sister and I are driving together. So it's gonna be literally four dogs in my small car. I mean, it's like a bit sized car but it's not big. So here's what we have so far. I'm blasting country and Christmas music. Talking to Margot about a trip to New York this weekend. Lauren's coming last minute. We're going to Luke Holmes but Lauren's going Monday, I'm going Tuesday. So I'm just gonna see Lauren during the day and then I'm also recording Monday, Tuesday. But this weekend I'm just with Margot. I think we're gonna go shopping in the city and whatever. So I have a lot of packing and a lot of things to do. I have clothes I need to bring to my friend's house and drop them off today. Also another thing. This like, I don't even know, is it loom cube? I will try to link it below. This is what we've been using to take all the Instagram photos that I've been posting lately. And then we take them on this camera which I'm not the kind of person to like not take photos on my iPhone but taking it on this camera with this light just makes your photos look incredible. I don't edit my photos at all. So it's straight up from this light and makes your skin look beautiful and it just makes everyone look incredible. So I'll probably also bring this. Actually I might bring it to Thanksgiving but I'll bring it to Margot as I think. I'm sorry if this is getting annoying but I just like can't stop thinking about I am so happy. Like life has truly never been better and I know I've been talking about this so much and it's honestly probably annoying to you guys at this point but I just am happy and I feel like I always talk about when I'm like confused and lost and like 23 sucks and whatever and I just can't get over it. Like my friends and I text every day how we're so happy and lucky and how many good things are coming up and I just feel like even better things are coming and I'm just so grateful. So I love you guys. I'm so grateful for you. If you're going through a hard time right now just know that I mean I too was quite honestly this year there's still been a lot of like hardships and like honestly like really difficult things happening as behind the scenes but I think I've finally learned or I'm learning how to also be like content and happy during that time and not let. What is it? What do they say like a sink doesn't ship because this is so cheesy. A sink doesn't ship because guys a ship doesn't sink. Not a sink doesn't ship. Yeah. Remember basically the sink only ships would be let the water in and yeah I feel like that's it but I'm just really in a good place and I'm very happy and also another thing like totally beside the point a few weeks ago and most of this year I've been like so against dating and I actually think I'm gonna start dating again like I've started responding to boys and my DMs and other people that have been texting me that I've just been completely ignoring. I think this started because one of Dom and one of our like best guy friends was like I really feel like you're gonna start like you're gonna start dating someone and that's gonna be it for you like very soon and that really freaked me out so now I'm just responding to every single person not because I wanna be with them but because I'm trying to prolong being with the right person if that makes sense. So maybe this isn't a good move you know what I mean but as soon as I heard that I was like I turned 25 next year, that's scary and I don't know what it was but it's not that I'm talking to these people thinking that they're gonna be the one it's more so that I'm talking to them because I'm like well I have no other time to talk to them if we're also convinced I'm gonna start dating someone soon which I don't think that I am but just the concept of like oh my God I never respond to anyone like I'm never gonna have time in my 20s where I've like dated and talked to people because like I don't give men attention at all like unless they're like a good friend of mine I completely ignore them. So yeah something I'm trying to work on but anyways today we're going to the Adolphus for tea if you guys are in Dallas. I'm sure reservations are booked but get on the wait list or something they have the holiday tea at the French room I've gone before I went to the French room like not that long ago but it wasn't holiday themed my grandma, my sister, technically my step sister and my niece are coming tonight my sister and my mom are busy so they're not going but I'm gonna dress really preppy and get excited so if it's getting a little bit too old for American girls so I'm oop so I'm gonna need to find a new niece so that I can go back to American girl at all so anyways I'm gonna do my hair, get ready and I'm probably gonna leave you as a little book update but I just love life, like I'm so happy it's so crazy and refreshing and just like I can't believe we're here like for so long I kept saying it's going to get better and I'm finally here I literally could cry every day I just think about how I'm so grateful like I don't even need to ride a car on a tea list so I think about it so anyways I'm gonna do my hair now and stop annoying you guys but I love you, okay. All right guys I just got dressed I'm wearing this coat that I got from my newly subscription I don't know exactly where it's from I can look later or I'll tag it actually on my Instagram this white top is just like an H&M white blouse the skirt is Princess Polly it's definitely super short but whatever my Gany rain boots which have also been the best purchase I've gotten so much wear out of them I love them I wish that like they were bigger I always have this issue I've talked about this with boots because my calves are bigger so I can like never wear them over jeans which is like what I wanna do so gotta figure that out but this is my outfit for tea I'm about to head off I'm meeting them there at the Adolphus so we're off Oh so cute Oh you wanna show them that? What is it? In note is Apple Cider You're crazy You can take some water by the way and squeeze it down to all the lines You're so pretty so You're so silky What do you need to do? Only heart Do you have biggie promise? You can't break a biggie promise You can't so One heart Or else I'll have an adjustment on your forehead it's not a heart You never have to wear it to go ice skating What's yours? It's not working Right here Oh it's so cute It's a heart What were you really gonna draw before I made you biggie promise? I love YouTube Oh really?  Yeah Oh my Do you want a mic for for Christmas?  Yeah what are you asking if I'm sure about? I don't know What are you what are you What do you think we're doing now? You're filming for YouTube Okay so It is 3.30 I plan on leaving 30 minutes ago It's actually really hot today but it's gonna drop to like 29 tomorrow I need to get my outfits packed because I need to leave in like five minutes So all right So this is the one I'm gonna wear It's what I'm wearing now I need to tuck this in but I just don't want it to get messed up in the drive So this is what I'm gonna drive in I have two code options I have my bag packed I'm heading up the door Off to home we go This is my room for tonight My mom got a new house I've logged here before It's very recent I don't have a room We just have a bunch of guest rooms But I'm changing my purse over I'm getting ready It's like the night before Thanksgiving Hometown bar scene And we live like 30 minutes away So my Uber is coming soon It's literally gonna be like 80 degrees And then the low tomorrow is 20 So I just How do you even dress for that? You know? This is the look I think I'm wearing ugly So morning I didn't vlog Like at all when I was home I wish I would have Honestly it was a really fun time But it was Thanksgiving And I spent it with my friends and family So I hope you guys Had a great Thanksgiving Anyways I'm driving back to the city right now Oh, hey girl Tomorrow morning I leave for New York at 6 a.m My flight takes off at 6 a.m I don't know why I booked that flight Like what was I thinking? I honestly have no idea The thought process behind that Today we are going to Enchant Christmas At Fair Park I'm really excited I'm working with them on Instagram I cannot take the dogs here But it's our first real Christmas festivity So three of my really good friends Are going with me It's going to be very exciting It's afternoon So I need to get home I need to do laundry I need to pack I'm going to do an Instagram live With Jessa Hastings today She's coming out with book number two And the Magnolia Park's like universe Which I've already read And it is so good I read it months ago I honestly might reread it on the plane I'll have that linked below If you guys are looking for good books Especially with the holiday season Honestly, read those They're just so good And they're really cool I'm still in my pajamas right now And I'm stopping to get coffee Let's have a little book chat So I'm on book 91 of 100 of 2021 I know this is going to come as a shock to you guys I just now this week read Matthew McConaughey's Green Lights book I bought it I pre-ordered it I bought the audio book I'm like Because I wanted to hear his voice And then at the end of the day Like I just read off the Kindle so quick I read it in a night It was so good I had already listened To the first half of it But that was a few months ago So I finished that And that was really, really good I also read like a poetry book That's not like really my thing But I liked his other one So I read it Okay, so Green Lights of Matthew McConaughey I read Inward That was really good Poetry book Which is not normal I finished the whole like Paradise series By Elin Hildebrand That was good I don't think it's like a must-must read But if you're like in the mood To read the series Read it Boundary Boss The Cheat Sheets Sarah Adams It was like such a cheesy book But it was honestly I really loved it It wasn't cheesy It was just like I don't know Like a corny and more like YA book Best friend, friend zone Like that sort of thing Yeah, I need to get back Nine books left of 2021 to read So comment below what books I should read I'm going to meet my challenge guys 100 of the year It's so crazy how fast this has gone by Because I remember making that my goal And it feels like that was like two weeks ago And now we're 91 books in I've read mainly fiction books Like I just read fiction novels all the time That's mainly what I've read I've probably been on a non-fiction cook But like not enough Got my coffee, my water The dogs got pappuccinos I'm currently unpacking I'm repacking Doing laundry Which is going to show you guys Fitz is laying on the bed He doesn't want me to leave But his favorite dog sitter is coming And he likes this dog sitter more than me And he's honestly so tired from my parents house Because he ran away And we ran around Not ran away For two days straight Anyways, these boots Again, best boots ever I have some outfits planned I need to get this together I have a lot to do today The top is running I'm going to self tan I have a live I have to go on Meeting everyone at four I have some work stuff I need to do Before I leave And I have no energy Not even I can't even like get myself to drink this coffee I don't know guys I just feel really out of it Honestly, like I just am not here All right, so this is stuffed I have some clothes that I'm bringing That Margot wants to potentially wear So she went through my Instagram And literally sent me like Instagram post on mine Of clothes to wear So anyways, I also got Jackie Claudia Well, Jackie's not going But I didn't want Jackie to feel left out Jackie Claudia and Margot skims pajamas As I could thank you And then just Jackie So she doesn't feel left out But I have all my clothes And I need to like repack these And make them look better I was working with my stylist On some of these outfits I'll have her Instagram below She's the best and she's helping me with like New Year's Eve So I just did somewhat shopping online Really quick I got like half of my Christmas gifts By the way, absolutely none of this was on sale It's Black Friday Story of my life I also got the most insane dress for New Year's Eve I'm so excited I'm actually going back to New York for New Year's Eve But with friends from home Normally when I go to New York I'm like seeing friends there But my friends here are going to New York For New Year's Eve I know that's like not where you want to be Normally on New Year's Eve But honestly We just wanted to do it once So we're doing that I'm going to meet them at Lila's at 4 It's currently What is it? I don't even know 1.40 So I am going to finish packing Getting ready I have a live that I have to get on at 3.30 And then I'm going to go meet them So we're getting pretty close Also, by the way guys Bread winning housewife merch is still available It has sold like so freaking much Like I'm so grateful for you guys But we have this hat Which I got dirty so ignore that We have it in blue We have the set We have the tote bag So check it out If you guys want something for the holiday season These are the two bags I'm bringing These are like pretty much what I always alternate between This is my favorite perfume ever It's so good I cannot believe I'm almost out of it Like that's actually insane I just am obsessed with it And yeah It's stuffed right now But that's because a lot of the stuff that I'm bringing I'm giving away Like I'm not like obviously like half of that Are literally the skims pajamas So you know It is what it is I'm considering not bringing my air forces But then I literally just have boots the whole weekend And like no sneakers to the city But I will have my Uggs And I'm like I think that's okay And honestly if I really want to I'll just like beg Mario to borrow shoes So I might do that We'll see Can I get through the whole week with Uggs and boots? I feel like maybe These boots are really comfortable Honestly both of these were really comfortable Like I'm wearing them to the city So it's fine Alright guys This is my outfit for today I'm wearing these princess poly jeans that I wore They're just like the best fitting jeans I have my Uggs on This body suit is from Spinks I just got this in the mail today This cute little puffer It's from Zara So this is the look I have this fendi bag I wear often because it holds my vlog camera And it um What's that gonna say? I think I'm on the real, real I can't really remember Honestly one of my best bag purchases I've ever made Like this bag is just such a good one So oh okay So I'm gonna take the dogs out And then I'm picking up friends We're going to Lila's And we're going to Enchant Christmas Which is that fair park I'm working with them on Instagram But I'm not working them on the vlog So I will take you guys along a little bit Tonight It is really cold in my house I need to turn something on for the dogs This is like proof You can take the girl out of LA But you can't take the LA out of the girl Getting myself juices before traveling So have these ready It's 9.44 I decided to be responsible and stay home tonight Just got back from Enchant fair park It was really cute I showered I have myself Tanner off now finally And put some lotion on I'm ready to go for the morning I need to take these off I always have extra like bag tugs and stuff Actually I'll do that at the airport But here's my stuff Pretty much ready to go Hope you guys enjoyed this week of my life vlog Stay tuned The next ones will technically be vlogmas kind of I'm not doing vlogmas like daily uploads But I will be posting like at least two I'm gonna vlog every day But then I'll post like probably twice a week So it'll just be longer vlogs And less of them because it just Was killing me last year And all the years before that But I hope you guys enjoyed this week of my life vlog I'll see you guys soon We have so many Christmas things So many New York vlogs You guys are really gonna enjoy So love you guys so much And I'll talk to you soon Bye He's like well I hate the song But he's like real religious And he was like but I love you And he was like I just want what's best for you And all this stuff And I was just For me with my story It's really cool Because here you have this song That's you know explicit And all this stuff And it's funny And it is definitely part of my personality Like


Just a person who cares about our community and about our community's animals. I'm Anika Ellis and today I'm visiting the Humane Society of Chittin County. This is Tecla. Tecla is passionate, sometimes to a fault. My passion can get ahold of me and I can get a little too passionate about things. I moved here from New York City where I actually worked in production on Broadway. I went to college for theater, I went to high school for theater, but then once COVID hit, obviously the theater industry in Broadway shut down. I found the Customer Care Associate position about a year ago and I don't think that I will ever do anything else. I probably will work with animals for the rest of my life. So I work with our community members and I do adoption counsellings, I do animal care, social media, enrichment, medication, pretty much what everyone needs me to do. We all kind of pitch in and do everything around here for each other. I've never really been in a job or position where I've ever felt so fulfilled and driven every single day. It actually feels like I'm making like hands on the ground, boots on the ground, like difference with our community. Our community here in the Chittitan County, Grand Isle County area are amazing. They are selfless and strong and it's been such a pleasure to work with them. Everyone is just always willing to help, even when it means bringing us a stray cat that is someone's outside cat. It always is just out of the goodness of people's hearts. We add a really wonderful resource to our community. Not only do we have our shelter here that works hands on and like surrender prevention, helping people keep their animals with things like our free food shelf and like our community pet clinic, which honestly has some of the most accessible pricing and any vet I really have ever seen. I think that we really do help save a lot of lives, both human and animal. Having access to animal welfare education means that our community is happier and healthier along with the animals that they have, where most of our owner relinquishments come from is housing issues. And people who love their animals so, so much have to choose between housing and their animals, often losing both. We have a temporary boarding program that works with people who are currently going through crisis, such as either being unhoused or fleeing a domestic violence situation. It really is one of the most selfless choices that people can make is putting their animals' care into complete strangers. We always want to never lead with judgment, always lead with understanding and just really creating that open line of communication. We kind of like go through a roster of what do you need? How can we help pretty much anything that we can do to keep your animals with you? Because really a happy, like community really is like happy animals. It's really important. You're drooling! We do see a lot of really, really difficult things, but we still show up every day. We're still here. I lean on my own support system, which includes people outside of work and inside of work. It's so amazing being able to come here every day and snuggle the cats and the dogs, but it takes a lot of energy and emotions because we are all so deeply passionate here. We show up every day, and if you need us, we're there. I guess that is something about myself as well, is just always being there to help or just listen. What's most important to me really is like a happy and healthy community and world and that everyone just really treats each other with kindness and empathy and understanding. Do you have anything you'd like to add?


What's going on everyone? Sam here with late in sports cards ripping one box of 22 Penini 3 and 2 baseball hobby for Chiakai L. So good luck here Chiakai. Let's see what we got man Yeah, sorry again my bad on that one. I completely missed it. We're gonna go ahead and see what we got here That's pretty solid. I like it is two of eight Paul Goldschmidt on the black nice one there Colton cows are prospects 39. I'm 99 for the Orioles and Soul and David Ortiz to 150 for the Red Sox Got a Brandon Marsh quad rookie jersey 23 out of 60 angels and nice one here two colored prospect patch auto Ellie Daylock Cruz Two out of 32.  We'll get that right out to you, buddy


From Cambridge, Massachusetts, it's theCUBE, covering MIT Chief Data Officer and Information Quality Symposium 2019, brought to you by SiliconANGLE Media. Welcome back to MIT, everybody. This is theCUBE, the leader in live tech coverage. My name is Dave Vellante. I'm here with my co-host, Paul Gillan. This is day two coverage of the MIT CDOI Q Conference. A lot of acronyms, it stands for MIT, of course, the great institution, but Chief Data Officer Information Quality Event, this is 13th annual event. Lars Tumray is here. He's the managing partner of Brass Rat Capital. Cool name, Lars, welcome to theCUBE. Great to have you on. Thank you very much, glad to have you. I've got to start with a name. Brass Rat Capital, what is that? Brass Rat is a reference to the MIT School of Management. Okay, thank you. It's supposed to be a beaver. Well, it is, but the students call it a brass rat. And I'm a third generation MIT, so it's just seeing a bit, absolutely appropriate that it's a brass rat. And then capital is not a reference to money, but it's actually a reference to the intellectual capital. If you have five or six brass rats in the same company, you know, we sometimes, the engineers arrive and they can do some things. And then, boy, if you're putting some data, data capital in there, you can really explode. Sometimes we cause a few problems. So we're going to talk about some new regulations that are coming down, new legislation that's coming down that you exposed me to yesterday, which is going to have downstream implications. I mean, if you get ahead of this stuff and understand it, you can really, first of all, prepare, make sure you're in compliance, but then potentially take advantage for your business. So explain to us this notion of open government. Okay. In the last five years, six years or so, there's been an effort going on to increase the transparency across all levels of government, okay? State, local, and federal government. The first of the federal government laws was called the, excuse me, Open Data Act of 2014. And that was an act, they was enacted unanimously by Congress and signed by Obama. They was taking the departments of the various agencies of the United States government and trying to roll up all the expenses into one kind of expense. This is where we spent our money and who got the money and doing that. That's what they were trying to do. It's big picture type of thing, right? Yeah, big picture type thing, but unfortunately it didn't work, okay? Because they forgot to include this odd word called ontologies. So the same departments meant the same thing. They have a data problem, data quality problem. They have a real big data problem, they still have it. So there are two GAO reports out criticizing how it was done and the government's going to try and correct it. Then in earlier this year, there was another Open Government Data Act which said it was signed by Trump now this time. It had like maybe 25 negative votes, but essentially otherwise passed Congress completely. And it was called the Open and it's all capital O-P-E-N Government Data Act, okay? And that's not been implemented yet, but there's a lot of talk around this conference today and various chief data officers are talking about this requirement that every single non-intelligence defense, you know, vital protection of the people type stuff, all the like interior, treasury, transportation, those type of systems. If you produce a report these days which is machine, I mean human readable, you must now in two years or three years, I forget the exact implementation date, have it also be machine readable. Now some people think machine readable means like PDF formats, but no in fact what the government did is it said it must be machine readable. So you must be able to get into the reports and you must be able to extract out the information and attach it to the Tree of Knowledge, okay? So we're all of a sudden having context like there are currently machine readable quote unquote SEC reports, but you can get into those SEC reports and you pull out the net income information and it says it's net income, but you don't know what it attaches to on the Tree of Knowledge. So we are helping the government in some sense enable machine readable type reporting that we can do machine to machine without people being involved. What do you say the Tree of Knowledge? You're talking about the context. It's a semantic Tree of Knowledge. So we all come from one concept like the human is an example of a living thing, a living beast, a living beast is an example of a living thing. So it all sort of goes back and there's sort of as you get farther and farther out in the tree, there's more distance or semantic distance, but you can attach it back to concepts. So you can attach context to the various data objects. Is this essentially metadata? That's what people call it, but if I were to go over to CSAIL here at MIT, they would turn around and they call it the Tree of Knowledge or semantic data, okay? It's referred to as semantic data so you are passing not only the data itself, but the context that goes along with the data. Okay, so how does this relate to the Financial Transparency Act? Well, the Financial Transparency Act was introduced by Representative Issa, who's a Republican out of California. He used to run the Governoral Affairs Committee in the House. He retired from Congress this past November, but in 2017 he introduced what's called, referred to as HR 1530. And the 1530 is going to dramatically change the way financial regulators work in the United States. It was about to be introduced two weeks ago when the Libra Digital Currency stuff came up, so it's been delayed a little bit because they're trying to add some of the digital currency legislation to that law. Trying to hit the front run that, okay. Well, I don't know exactly what they, remember it's all coming out of Maxine Waters Committee. So the staff is working on a bunch of different things at once. But OMG was asked to consult with them on looking at the 1530 Act and saying, how would we improve, quote unquote, given our technical, not doing policy, we're just talking about the technical aspects of the Act, how would we want to see it improved? So one of the things we have advised is that for the first time in the United States codes history, they're going to include an interesting term called ontology. You know what ontology is? Well, everyone gets scared by that word. And when I run into people, they say, are you a doctor? I said, no, no, no, I'm just a data guy. But an ontology is like a taxonomy. But it has order, it has importance. And an ontology allows you to do what is a, a kind of, you know, giving some context of linking something to something else. And so you're able to give more information with an ontology than you're able to with a taxonomy. Okay, so it's like a taxonomy on steroids. Yes, exactly. More flexible taxonomy. Yes, but it's critically important for artificial intelligence machine learning, because if I can give them an ontology of sort of how it goes up and down the semantics, I can turn around do AI and machine learning problems on the order of 100,000, even 10,000 times faster. And it has context. It has context. And just having a little bit of context speeds up these problems so dramatically so. And it, is that what enables the machine to machine? No, no, the machine to machine is coming in with something called SBRM, which is standard business report model. It's a OMG specification of a way of allowing the computers or machines, as we call them these days, to get into a standard business report. Okay, so let's say you're a drug company. You have to certify drugs you manufactured in India against the United States safely, okay? You have various reporting requirements along the way. You got to give X, Y, Z to FDA, et cetera. That will always be in a standard format. The SEC has a different format. FERC has a different format, okay? So what SBRM does, it allows them to describe in an ontology what's in the report. And then it also allows one to attach an ontology to the cells in the report. So if you like had an SEC 10Q 10K report, you can attach a U.S. GAP taxonomy or ontology to it. And it can say, okay, net income, I know that's part of the income statement. You should never see that in a balance sheet type item. You know, it's an example, okay? Or you can, for the first time, by having that context, you can say, or solve a problem which has existed, that you can file these machine-readable reports that are wrong. So believe it or not, there have been about 50 cases in the last 10 years where SEC reports have been filed, where the assets don't equal total liabilities plus cherish equity, you know? Just, they didn't add up. So this two entry accounting doesn't work. Okay. So you can have the machines go at scale and say, hey, we got a problem here. We got a problem here and you don't have to get the humans involved. So we're going to, Holland and Australia are two of the leaders ahead of the United States in this area. They've seen dramatic pickups. I mean, Holland's reporting something on the order of 90% pickup. Australia's reporting 60% pickup. When you say pickup, you're talking about pickup of errors? No, efficiency. Productivity. Productivity, okay. Because you're taking people out of the whole cycle. It's dramatic. Yeah, okay. Now, what's the OMG's role in all this? Explain the OMG. Object Management Group. I'm not speaking on behalf of them. It's a membership run organization.  I am a member. You're a co-lead of it, but I don't represent OMG. It's the membership has to collectively vote that this is what we think, okay? So I can't speak on them. I have a pretty significant role with them. I run, on behalf of OMG, something called the Federated Enterprise Risk Management Group. That's the group which is focusing on risk management for large entities like the federal government's Veterans Affairs or Department of Defense. Upstairs, I think, talking right now is the Chief Data Officer for Transportation. Okay, that's a large organization which they're instructed by OMB at the Chief Financial Officer level. The number one thing to do for the government is to get an effective enterprise risk management model going in the government agencies. And so they come to OMG just like NIST or just like DARPA does from the defense or intelligence side saying we need to have standards in this area. So not only can we talk to you effectively, but we can talk with our industry partners effectively on space programs or on retail, on medical programs, on finance programs. And so at OMG there are two significant financial programs or standards that exist. One's called FIGI for Financial Instrument Global Identifier which is a way of identifying a swap. It's a way of identifying a security. It does not have to be used for a QCIP, but worldwide you can identify that IBM stock did trade in Tokyo, so it's a different identifier. It has different deliverables against the one trading in New York. So those are called FIGI identifiers. Then there are attributes associated with that security or that beast that's being identified which is generally comes out of FIBO which is the Financial Industry Business Ontology. So it says for a corporate bond it has coupon maturity, semi-annual payment bullets as an example. So that gives you all the information that you would need to go through to the calculation assuming you could have a calculation routine to do it. Then you need to then turn around and set up what I'll call your environment.  And then you do your various analytics. They're aggregating the portfolio and looking at shortfalls versus your funding or however you're doing risk management. And then finally you do reporting which is where the standardized business reporting model comes in. So those are kind of the five parts of doing a full enterprise risk model analytics.  Well, it's going to change the world for basically everyone because it's like doing a equivalent of a software upgrade from version one to version 2.0 and you know how software upgrades everyone hates and it hurts because everyone's going to have to now start using the same standard ontology and of course that standard ontology no one completely agrees with. The regulators haven't agreed to it and the ultimate controlling authority in this thing is going to be FSOC which is the Dodd-Frank mandated response to not ever having another tarp. So the secretary of treasury heads it. It's a, I forget, it's a federal systemic oversight committee or something like that and all eight regulators report into it and OFR stands as being the advisor to FSOC for all the analytics. What these laws are doing are they're giving OFR more and more power to turn around and look at how are we going to find data across the industry so we can come up with consistent analytics and we can therefore hopefully take one day like Goldman Sachs's prepayment model on mortgages and apply it to the city bank portfolio. So we can look at consistency of analytics as well. Will this only apply to regulated businesses? It's going to apply to regulated financial businesses. Okay, so it's going to capture all your mutual funds. It's going to capture all your investment advisors. It's going to capture most of your insurance companies through the medical era side. It's going to capture all your commercial banks. It's going to capture most of your community banks. Okay, not all of them because some of them are so small they're not regulated on a federal basis. The one regulator which is being skipped at this point is the National Association of Insurance Commissioners but they're apparently coming along as well independent of the federal legislation. Remember they're regulated on the state level not regulated on the federal level but they've kind of realized where the ball's going. Will this make life better or simply more complex? It's going to make life horrible at first but we're going to take out incredible efficiency gains probably after the first time you get it done, okay? Is it going to be the problem of getting it done to everyone agreeing we're using the same definitions for the same data? And who gets the efficiency gains? The regulators, the companies, or both? All, everyone. Can you imagine that a Goldman Sachs earnings report comes out and you're an analyst looking at, how do I know if Goldman did good or bad? You have your own equity model? You just give the model to the semantic worksheet and it'll turn around and say, oh, these numbers were all good, this is what we expected, did, did, did, did, did, and you haven't, you can do that. There are examples of companies here in the United States where they used to have competitive analysis, okay? They would be taking somewhere on the order of 600 to 700 man hours to do the competitive analysis. By having it available electronically, they cut those 600 hours down to five minutes to do a competitive analysis, okay? That's an example of the type of productivity. You're going to see both on the investment side when you're doing analysis, but also on the regulatory side. Can you now imagine, you get a regulatory report and say, oh, they're out of, they're way out of whack. I can tell you this frog going on here because their numbers are too much in XYZ. You know, you have to fudge the numbers to. And so the securities analysts can spend more of his or her time looking forward, doing forecasts. Exactly. To have an analysis and having to look back and reconcile all these. Right, and you know, we hear this, this conference, for instance, something like 80 to 85% of the time of analysts is spend getting the data ready. Yeah, you hear the same thing with data scientists. Right, and so it's the sense that we can help define the data we're going to speed things up dramatically. But then what's really interesting to me being an MIT engineer is that we have great possibilities in AI. I mean, really great possibilities. Right now, most of the A miles are pattern matching. Like, you know, this idea of using facial technology, that's just really doing patterns. You can do wonderful, predictive analytics of AI, but we just need to give a lot of the AI models the context so they can run more quickly. Okay, so we're going to see a world which is going to sound funny, but we're going to see a world we talked about semantic analytics. Okay, and semantic analytics means I'm giving all the inputs for the analysis with context to each one of the variables. And what comes out of it will be a variable or results, which will also have semantics with it. So one, in the future, not too distant future, we're in some of the national labs where we're doing it, you're doing pipelines of one model, goes to the next model, goes to the next model, and that goes to the next model. So you're going to get software pipelines, believe it or not, you can get them running out of an Excel spreadsheet, or a modern enhanced Excel spreadsheet, and that's where the future's going to be.  What happens if we were, normally for a lot of this stuff, we do bell curves.   Now, which one's better? I don't know, but you know, I'm just using an example. To another cut in the data, so, or a view. Now, talk about more about the tech behind this. You mentioned AI, I mean, we're talking about math, machine learning, deep learning. Yeah. Add some color to that. Well, the tech behind it is, believe it or not, some relatively old tech. There's a technology called RDF, which has kind of been around for a long time. It's a kind of machine learning, not machine learning, I'm sorry, machine code type, fairly simplistic definitions, lots of angle brackets and all this stuff. There's a higher level that was extracted, I think to put it into standard in like 2004, 2005, called Owl 2.0. And it does a lot at a higher level, the same stuff that RDF does, okay. You could also create, believe it or not, your own special ways of communicating an ontology just using XML, okay. So XBRL is an enhanced version of XML, okay. And so some of these older technologies, quote unquote old, 20 years old, are essentially going to be driving a lot of this stuff. So, you know, Corba, right? Corba is what's a made OMG, on the communication across the thing. Do you realize that basically every single device in the world has a Corba standard in it? Okay, yeah, OMG standard is in all your smartphones and all your computers and that's how they communicate. It turns out that a lot of this old stuff, quote unquote, is so rigidly well defined, well done, that you can build modern stuff that takes us to the Mars based on these old standards. All right, we got to go, but I got to give you the award for the most acronyms. We got HR, 1530, FIGI, OMG, SBRM, FSOC, TARP, OFR, RDF, we knew that, OWL, XML, XBRL, Corba, which we of course knew, but that's, well done, yeah. Lars, thanks so much for coming to the people. Thank you very much. It was great to have you. All right, keep it right there everybody. We'll be back with our next guest from MIT, CDOIQ, right after this short brief, short message, thank you.