Please and unambra have confirmed the burning of the headquarters of a deemily not the local government area in Ogoody, unambra in the L.A. ours of today Combined response by security operatives and the natives help to repel the criminals the magistrate courts Building and the office of a new good electricity distribution company within the complex were also affected Please do subscribe to our YouTube channel and don't forget to hit the notification button So you get notified about fresh news updates


I really really gave me to the the true game is Dick Gregory. Damn. He's a legend. Harry Belafonte. Like they both of them like I did a movie with Harry Belafonte. He got a chance to me and we did just kicked it in the trailer. But then we started doing activism work. He took me on a journey and show he was going inside talking about it and you know creating a lot of peace. You know treaties and stuff amongst game culture for years. He was one of the people that we are the world. You know what I mean? Like he and then Quincy Jones those are my three. Those are the people I got to sit at the at the feet of some real culture movers. And I'll say Dick Gregory.  He was he was the one that helped put the civil rights. Yes he's a legend. Like and was really could pick up the phone and call John F. Kennedy could pick up the phone and call Martin King. Like and and literally like he'd tell you he wrote Imagine for John Lennon. Like he was connected like that.


All the way the exhibits will be open today from 1115. We transitioned from lunch today Into the exhibit hall for dessert Just provide you with that little bit of extra incentive to go visit our sponsors lunch will be back on the lawn today Obviously, it's a much Better weather day. There's a very good chance that tomorrow. However, we'll need to bring lunch back inside. So Please watch the app and the notice board for those announcements, but it looks I think they're predicting 90% chance of rain there because of that we're also moving lend Silverstone's Thursday workshop on understanding human behavioral factors From the behia bell, which is the smaller of the two boats into the cock-to-room Which is one of these aviary rooms on this level I'll just obviously reduce the number of people who have to possibly walk in the rain Okay at the registration desk you'll find some pink evaluation forms for the conference I Know this seems really old-school to get you to fill us out by hand But we've done electronically and we get like a small fraction of the number of responses and the quality is not nearly as good so We still make this available and to give you an incentive to do that We do a drawing at the end of the conference one person gets an all-expense paid trip back to DJI Q in June next year or to the December event if you prefer to do that And to enhance the attractiveness of this opportunity this time. We're also going to add five complimentary Tickets to Enterprise Data World in March next year those will not be all expenses paid But we will be waiving all your registration fees So if you're someone who likes to give their opinion it doesn't mind spending a few minutes on that We're we're giving you an incentive to to do that For those of you who work kind enough to fill out the tutorial evaluations From earlier this week We have four books to give away actually I gave away two of them it for another purpose So I'm gonna have to buy them from Amazon to send you but Valerie Boventre from Bloomberg Nikki Mead of Alliance Data Daniel calendar Calendon from ball era space and Duran hook from one America We have two books to give away one was the Agile Data Governance book by Laura Madsen The other is Danette McGillvray's executing data quality projects so I'm gonna leave these at the registration desk or Any of those folks whose names I read out are you in the room right now?  And Danette sitting right next to it did okay. Do you have this book already? Okay, she might even sign that for you Somebody else whose name I read out Okay, you can ask Danette to Sign your copy as well, and I'm sorry. I'm not making my way through there, but I don't want to put my mask back All right, so we're gonna jump into our keynote now Can we bring Anthony and April up so we have five panelists to affirm our remote obviously And three are live and in person from your right to left our moderator Anthony Algman Anthony wrote the first book that they diversity ever published on data leadership very animated Speaker we love having Anthony with us. He served so many roles from chief data officer through to data governance consultant and at this point is doing amazing work in a big pharma organization, however For his official conference designation. He still uses his his consulting firm April is also actually in pharma now, but April has been In just so many roles of data governance and data architecture over many years At a variety of customer organizations, so she's currently with BMS all right working down the list from your right to left and we have Matt crittenden from IBM. I'll ask Matt to Give his own bio 15 seconds worth of his own bio really quickly I'm an old guy started in the 80s and data integration in the 90s on the ERP and the last of the last two decades in governance and quality, okay Then we have charade fascia from over ledge CEO of over ledge charade yeah, so I'm charade washne CEO of over ledge and I am probably coming from ERP background moving to data warehousing and then move to data Governance so we I build I went to the data governance space really to build the product to start with so this kind of like It's been about Six seven years. We are in the data governance space and we're kind of like building the ground up product from that terrific and Last but far from least Tim Modsgrove from Callisto Media. I've known Tim for many years he's perhaps the most technically Oriented in his current role of any of our panelists, but Callisto is doing some amazing things and Tim is in particular a natural language guy What did I leave out there Tim that you'd like everybody to know about That's pretty much it. Yeah, okay What I the other thing I will say is one of my favorite talks at the conference who is the one that He and his colleagues who I did yesterday on incorporating project management into the data governance Program, so next time we get Tim back. You got to see that talk. All right, Anthony I'm gonna turn this over to you. Anthony came to me with this particular topic about Data governance tooling so I think he's the best person to introduce the topic. Thanks I am very sad to not be in the room with all this speak, but I'm very excited to be opportunity to talk about this topic, so I spent a fair amount of time at the VIQ events and I've spent a lot of time in the industry. I would have made it that most of you the audience are kind of about the opinion that You probably shouldn't put the future of our data governance in the hands of the tools Where we should rely on these tools to make us successful with data governance yet? I also imagine many of you in the audience or all of you in the audience very likely have witnessed a tools first approach to solving big problems in our businesses Where we say hey, let's find that shiny object. We will solve all of our complicated problems So if we ignore that entirely We're probably going to be less relevant to some of those rules that's affecting those decisions that you might not quite be So what we want to be thinking about in the context of this panel is why we kind of pitch this to me and why I'm interested Come to rule one, let's not forget there's tools out there that can help us in our data governance journey And two, I would like our tools that are out there that can help us in our data governance journey And I think we can get better than we have and so what I want to think about today is What are we going to be doing in terms of tools? What do we have in terms of what's supplementing our piece which is probably what we focused on in a lot of the questions that you've been through this week But what is it about tools that may not be meeting, what will be the future You're responding from them today And so let's spend a little bit of time talking about just this and so I will start With my colleague on the phone April to talk a little bit first and why don't we each spend 30 seconds? I've already done mine more than that on what we assess the role of tools and What they do today in terms of what role do data governance tools play in successful data governance today so Thanks, Anthony so I am I work for Bristol Myers Squibb and I've worked as both, you know for corporations and as a contractor consultant setting up data governance capabilities at different organizations and the what You the the struggle with the data governance tools I find is that that We we run into You know, there just isn't enough time or resources To hand curate the metadata about the data. We're trying to manage Okay, and so we want to automate that we want to Automatically collect metadata that we can use to search and find and and manage are the data in the organization The problem is that the automated Metadata collection is too technical It's just it tends to just kind of be a bunch of little metadata pieces of information that have no perspective and no link and no and So the struggle is to try to balance having Description meaning metadata that means something to people and is usable with Being able to automate this and how do you and how do you strike the right balance? I mean you like it to be fully automated, but I've you know I've seen a lot of failures trying to do that, right? You know on the other hand There's there's no way you can fully manually collect this information So we kind of want to do better in the automation. I think and and and Balancing how to achieve creating a catalog an inventory of data that's usable to manage our inventories Great, why don't we go on the same order Tony did well Matt? Why don't we start with you and go right to left across the stage? Tied to that the automation can do a lot of good for you It can speed up the process of collecting that information The problem as we've already discussed is the fact of you get a lot of garbage I just um were my company's releasing some new software not here to talk about that But we just went through a bunch of pilots with a with a series of customers and one customer During their pilot brought in 29,000 data tables Zero terminology policies the things that would tie to that another customer did the exact opposite brought in 15-16,000 business terms no data objects So they're focusing on little miniscule parts of it Technology's not going to help you on that. You know, we all know the holy trinity of governance, right? People process technology or if you follow a forest or people process platform product You've got to balance that, you know, it's not technology at at the most is 30% of the story And you if you don't have those other two things you're going to be spending a lot of time with technology Gathering information. You're never ever going to use but Sure Yeah, so I think this is not a complex in my opinion you first do the automation you bring crawl all the data You bring into the repository then after that you go with the community and figure it out what the What it needed, right? So the problem comes up here is adoption not many people are ready to put the tribal knowledge into it This is where the sophistication of tools comes in, right? So Imagine 10 years back Nobody was on tiktok. Nobody was on Facebook, you know Everybody used to call everybody and then the sophistication of the technology kaweb The tiktok people don't have to do anything. They just keep watching keep watching and then, you know They are like in getting in chain at the meantime. They're also generating some data So if the tools are sophisticated enough and they can provide you the ability so that users can very intelligently Give their info information to the tool. That's where the tools of the future of the tool is and this is where how you need to leverage your Audience or your users to kind of gap give this information to you If you keep it's just how we just put out of the tribal knowledge into the tool It's not going to work. You have to have some rewards and then you need to have a governance on top of that So other than the lot of the garbage in comes from the users as well You have the length of a state definition and you will get just different definitions But they they do not go to the detail in order to go to the detail You really need to go and figure it out a methodology that how would you go into detail? So it's a as you say that there's a people people is needed definitely But also the process to collect this information is important And that's where the the the data governance team and you guys are important to create and establish this process of collecting the metadata From user being the automation is very simple. You just connect and crawl it The only thing is that you are trying to most of the time organization They want to grab everything millions of object at one time and they have no way to collect the metadata information from other So focus on one department one domain collect the metadata from there And then try to get the value from that then things is going to work pretty well. That's what we have seen Yeah, I think there's so many problems. What are you gonna shake a stick at it all? I'll go back to the first thing you said about your your your onto something about people having a tendency to take a tools first approach You know what if we would be literal about it I don't mind people having the very idea of a tools first approach I like it that they they want to think of Trying to use a tool to do things at scale on an automated Basis part of that something a really big data company if we can't do something at scale then forget about it But I think I think the problem is the way that they go tools first So if it's just stumbling in to the first tool they see a demo of and they haven't really vetted it They haven't looked at the whole range of offerings on the market and that happens all the time in lots of organizations If they don't talk to anyone else in the organization You have somebody in this department not realizing that they're Acquiring a tool and paying money for it when someone else know the department already bought a tool last year that kind of does the same thing and So and it's how you organize the tools I have to confess that you know my garage at my house is Not one of those where the guy has the pegboards all labeled with the hooks and all the tool It's kind of a mess and I've I've done that do-it-yourself home project where I can't find that tool I know I have it and I've fallen to temptation I run to home depot I buy another one even knowing I already probably have three You know and they're in this mass and so That's what it looks like in our company with the software tools, right? So it's it's not that it's not that trying to use Tools as your first idea of how you're gonna scale something forward is a bad idea in itself it's the people's misbehavior about acquiring tools in a messy way and Storing in math, you know sort of maintaining and nurturing the tools in a messy way Yeah, well it to build on that that the kind of tool for a liberation to is like it may not be the exact same tool that you Already know you have but it can be this other tool that has this new feature And that's gonna be the thing that solves this problem for us this time Right and then and so you just end up with all these different tools and like like Tony mentioned in my bio I work for a large pharmaceutical organization now and we have all the tools it seems like it's just the problem becomes How do we use them in an effective coordinated way? And I want to mention to something that Shratt said really made me smile Is that whole notion of we used to call people on the phone and and now We're using tic-tac. We're using other messages, you know messaging after work let other email or whatever connected with each other I think about when my phone rings. I'm almost never going to answer it anymore It's my wife or Tony Shaw Everybody else Yeah, it'll go to voicemail and I'll get to it eventually but um So what I want to think is because we think about these tools, right? We we know there's some potential here and I think you know kind of articulated that very well There's potential in these tools. There's benefit in these tools. We have seen progress And I think that's an important statement to make but I kind of neglected early on But we know one thing is true. We are going to buy more tools There's going to be more tools even like Tim to your point even if we know we probably don't need another tool We're getting another tool sometime here. So as we look at the audiences We think about the folks here at dgiq that are influencing or making purchase decisions on these kinds of governance tools What advice do we have? for how to go about doing that and buying And investing in tools that will lead to The most benefit and then after this we'll kind of start talking about more features of tools Let's talk broadly. Hey to governance tools. How best to approach this kind of thing and I'll ask Tony To help this is volunteer basis. If you have something to say on the panel, um You know, please uh, please chime in Yeah, I can jump in As you're going through this when I when I'm out with a client and we're talking about, you know, what they're doing They'll immediately ask me. Okay. We'll show me your software and I never go there We we have to have a conversation about what you're trying to do in your governance program What type of quality problems you're facing? Why did you even bring me in here? And I I always make sure that I have this conversation before I go on site So that we can actually talk about things that are relative to this I strongly encourage anybody getting started looking at software to make a list of your priorities that you're trying to approach What what is priority one two three four all the way out? We always talk, you know start small and work your way up start with a line of business and go to the enterprise You know, however you want to do it But come up with that list of things so that when you bring in any of us that are in the in the room over there That you're bringing the right person to the table that can actually meet your needs today Going on down the road. Um, there's there's nothing worse than somebody coming in showing you a new pretty object That won't Satisfy your second or third project You know and we've got lots of different technologies there that will help in governance projects You need to make sure that you're getting the right one that'll satisfy your needs versus somebody else in the room Yeah, I will extend that further. So what is happening is that people are focusing too much on the problem right now They have it and they look for the tool which is solving the problem which is existing So when you get it up as the title, you know the silos of tool Which do not integrate with each other?  What is your business strategy? How the data strategy is meeting with the business strategy? Understand that and then sell as well within the organization because I can guarantee you're right Maybe a lot of people we do not have a proper business proper business use case for your data So you're just creating a data platform Once you create that and you need to understand the problem You're going to happen one year down the line a two year down the line as well You need to know the list of those if you don't have it higher consultant higher people From this group or another a lot of people smart people here who will tell you these are the problems you're going to face Then make your list Existing problem right now. What is the future problem and then look for the tool which is kind of like comprehensive Otherwise you will get the silos of tools and there's too many tools And then you will not be able to integrate all these tools together and there is another problem you're going to face So that's the little two cents. I have it Isn't that a big corporate culture change for some organizations though? I mean, I don't know how many people here You're in an organization where almost All the employees can only think one quarter in advance Because that's how they're judged and incentivized and you know part of it's if you're a public company I've been in both private and public I'm in a pre-ipo company right now and I can just feel as we get close to going public This this time horizon shrinking down to more short term And people can only solve a problem. That's this court the current quarter or the next quarter And to do what folks like us want to do you've got to get this like three to five year Time horizon in in in front of people's minds, but Do the rest of you face that or how do you get how do you get your Your stakeholders to think of data governance as a long-term thing instead of just fixing the immediate pain point so I The struggle that I see with data governance A lot it's it's kind of the opposite of some of the other issues we have Everybody knows what data governance is Except almost nobody's definition of data governance matches like a A standard definition Right of somebody who works in data governance what their definition of data governance is so You know and everyone you know sort of whatever problem you have The answer is always oh well if we had a data governance program that would that would solve that problem Um, so we you know we start with well, what is the problem that the organization is actually trying to solve? that they're calling data governance and um, it and and what that what that really means to the organization May depend on the driver that that's that's causing this to be to come up, you know, maybe there's a compliance requirement that that that you need to meet or or there's some sort of data quality problem or Or You know you're trying to improve your the maturity of your data management. Hopefully but but then Then Very few people who haven't done it Actually knows what data governance looks like when it's walking around, right? They may they may know what You know potentially How to start? Right, um, but when but what's the target that you're trying to get to So and the answers to those questions as as you know what the the panel said Um really changes what the tools are that you're going to need and And and and how you're going to use them So I frequently, you know, it's like Start with excels excel and in SharePoint, right? Like start there in terms of tools and then Understand what you're actually trying to do so that you know if you do go out and buy a tool And and there's also some other kind of you know beginner very Very inexpensive tools that may be Closer to to actually data governance tools But then You know if you're going to go out and buy a tool And and make an investment Having more of a of a plan about what that means, right? Because I think we've all seen Where organizations will buy a tool and then Won't do anything with it and it'll just sit there Because there was no project to actually do anything with it So I want to make sure we have some time to talk about the specifics of the tools that are available to us So when I think data governance tools, I think in like a central core I think of a date the catalog plus some sort of workflow management routing type of thing That's my core of data governance and then on the periphery I see things like data quality tools and master data stuff and you've got you know other kinds of data Repositories you think about how we're operating on data or metadata. We talked about some of that stuff as well but a I'm curious whether the other panelists think of data governance tools when used in that kind of terminology fits and then second Is this the best we can do like is this enough or are we missing something fundamental? Or does the future just hold better data catalog better workflow management? Or is there something that will transform how we do data governance with the tooling? The that is to come so what do you guys think? I can start So what I see the The first part is that you know the what technology can do technology can At this point of time in the current point of time it can figure out it can crawl the metadata So what we're talking about the data catalog? It needs to be able to crawl all the metadata It should be able to figure out the lineage which is technical lineage where the data come from where it goes Right, that's that's the technology can do it It can Figure out just the profiling information. They know what exactly it should be. So it's you know statistics about the data It should be able to support as many data sources you have so that it can kind of crawl the data So that's the data cataloging aspect of that. That's the basic minimum you need In order to move further then you need a capability in different dimensions to improve the quality of the data to improve the literacy of the data to improve the quality of the metadata and then The third thing is needed the access, you know who can have access to what information so I generally have Three ways of looking at is one is the literacy which is like Enhancing the quality of the metadata Another one is the quality which is enhancing the quality of the data itself And the third one is access which is who should have access and the privacy compliance comes under access because that need to do it plus you also need a classification because You should be able to protect the data So you need a AI capabilities or some sort of a you know Some capability so that you can figure it out Which is the PII which is a PHI and how to control it. Who is the confidential information? So you need that kind of information And then most importantly you need tools and algorithms to find The processes to kind of improve your workflows So whatever the workflow you create People are not going to respond to that. That's human behavior like until unless you create something like tiktok you know, so how what are the different adoption tools you have in your Chest kind of tool chest which can keep improving this system, right? So that's the most importantly adoption and adoption is the layer which you need to think very creatively in that areas You know, if the sometime adoption is embedding within the existing tools, maybe you build the business glossary phenomenally Spend so much time, but nobody's using into it Right. What if you plug in that business glossary with the reports people are consuming those Now suddenly you say, oh, okay. I'm I'm looking at the report and then I'm looking at the beta And I exactly see that what is the definition of the beta is and what is this report a beta definition versus maybe some other reports Right. A beta is a very finalized terms. Everybody understand that but not Length of stay in hospital, right? So that's a different kind of Like terminology which you need to understand that so And then there is a operational aspect of that is also there some of the time that what are the tools you're supporting in the various Aspect of operationalization of those. So those are the Typical I see at the high level you need capabilities in this area of data governance Yeah, I'm I'm similar in that I see the data catalog is one of the foundational tools But I look at what comes after that a little bit differently Maybe it's because I've worked with content and media publishing kind of organizations A lot so for us one of the one of the very next things Actually is the metadata tools And and very rich because if we can't handle just immense amounts of content and understand how they interrelate Then we don't win and so metadata tools for us is very rich It means that we even use things like cognitive as an ontology tool taxonomy tools we have to be able to Collapse and view trees of taxonomy is really really well and and use that as a way of normalizing Thousands and thousands and thousands of tags And like you said earlier, you can't do all this manually So we need to also invoke AI to help us normalize the the system of of tags and that's just really foundational for us But taking a step back There are there are tools that should precede data governance that you should be able to take for granted And yet in a lot of organizations you can't Like data modeling should have already been done just by any company that has set up a database at all Right where you should have conceptual and logical and physical models of the data models And you should be able to hold those up and visualize them right next to your business process diagrams And see that they match like even even companies that haven't done data governance should have done that just by virtue of Being responsible people setting up a database and yet it's very common that organizations have Become completely dependent on databases without proper data modeling So sometimes you have to back up a step and And clean house there first with those with those with the data modeling tools of the organization I just want to add one other Concept here. How many in the room have heard the concept of a data fabric? Awesome To me that is one of the central things in fact We're going to actually be doing a presentation not technology oriented But a presentation about data fabrics later today And the point i'm bringing up about that was that everything that we're talking about in the data space whether it be Your data governance things your data quality components your integration your master data reference data This all needs to tie together so that you can actually get the true value out of this You don't want to buy technology To do these niche things unless they can do the niche things and tie to each other You know, so if you buy a catalog solution making sure that catalog solution works with your integration tools Or works with your bi tools or works with your data science organization Because your data is used everywhere in your organization your enterprise and you know and we can divine, you know The organization whether it be a line of business a geography the entire or your company for some of the really large companies Without having a concept of a fabric where your technologies talk to all your data ops work your your governance work that you're doing It's really a waste of time you need to make sure that this all works in harmony Or you're just spending a lot of money and technology that's going to fill fill a little niche for a very short period of time so If I can jump back in there just a second one of the eye-openers I have had from being at this conference is I didn't realize how Lucky I am to be the cto And be in charge of data governance because I have total veto power over any third-party tools anybody in the company buys And I have software engineers at my command Um, so I can eat so I can make the plug-ins. I I'm in it's my fault if we don't do the integrations correctly with the apis I can write my own etls with my team if I um if I want and at this point I would be scared of taking on data governance in any company if I didn't have veto power over third-party tool adoption I would I would I would be scared. I think that you need to have a big a big say in that I think if you can't maybe it's because I've been in companies with bad habits But I think if you if you can't if you can't have a big say in The selection and the setup of the tools you can't ever you can't ever tame that wild horse I just I want to add to that since you just mentioned that I was with a client It was probably about two years ago right before the pandemic and one of their it's a compilation of a lot of big companies One of the companies used one catalog solution another one used another one another one used the third I came in and they brought each of the vendors in to show why their solution was the best And instead we flipped the conversation and we talked about what they were really trying to do It's not whose technology is the best. It's whose technology solves the problem that you have And being able to have that beetle problem because I it's just there's nothing scarier than seeing a Small group and niche of the business buying something that doesn't hide everything else You need to make sure that your your stuff works together in harmony. So you're just not wasting time and money but That's a great point Matt and like there is no shortage of poorly used great technology out there Right like that is something that we need all of the time And I want to ask it because Tim's comment around having this ability and I think you're probably in the vast minority of People that get to do data governance and also have direct line of sight to the technology Program, I don't think that's the norm. So I want to flip that situation around 180 degrees because what I think is as more probably at least from my experience advantage point is People trying to do data governance that sit outside the IT organization driving this from the business And the IT organization isn't receptive to what is trying to be done and or at least isn't Excited and as collaborative about that as we might want them to be What do we do if they and then the IT organization who Inevitably carries a lot of weight with the technology and tools What do we do as a business-centric data governance person trying to influence A technology organization that may not be as receptive as we would like them to be with data governance So I will take that that I think there is a I have seen in our customer base at least half half The half of the time people buys that IT people is buying the data governance product and half of the people at the business side Is buying it and and and sometime the compliance is also buying as well So I think there is a compliance IT and business all three need to be on the table In order to make data governance successful If they both are if all three are not on the table There is a some sort of a lack that you're going to see in order to implementation I have seen IT projects IT driven data governance Misrively fail because there's no business stakeholder. So there's nobody is taking from the business side and I see from the business side I think april might be from the business side that she's saying Oh, we are having a hard time correcting the data and then getting the metadata out because there's no IT person Is actually involved in that process. So the business person is trying to do They don't know what the drivers are supposed to use and that's why you are having problem So the business IT and if possible compliance if all three together meet and to start the data governance program You have a you have a guaranteed win in that. Yes, since you just mentioned that I apologize for jumping in here But I just went through with a really really large telecommunications company where we went through a massive pc led by our poc rather Led by the it and we jumped through every possible hoop and showed exactly how the technology would satisfy it In our final presentations to the line of business They said absolutely not because that's not solving what our problem really is Our technology was the best in the market for what it wanted But the line of business said no you have to have everybody at the table You don't want to make them you don't want to waste your time. No none of us want to waste time anymore So you're making sure you get all three parts of the organization You know if you separate compliance from governance having everybody together so When I was consulting and setting up data governance programs for at as an employee of a consulting organization um, I Kept looking out because I would get on projects that were Driven from the business side. So they were they were business-driven data governance programs that they wanted to set up and You know, we were almost always successful Whereas the data governance programs that were driven from the it side were almost always not And it wasn't me that made the difference per se I think it's I think that that you really need the the drive to be coming from from the business perspective By the way, I've always been an IT. So I'm an IT person but but for data governance success I've seen that it requires A business-driven program to be successful. So, you know, if it can't be joined Right, then then I think that you need that that business driver To be to have a successful program That's great so in the interest of time so The last main question before hopefully we'll have a couple minutes for audience questions But I there's a question. I love to ask and I asked my tutorial earlier this week This question and and I think to preface it there's a General awareness that I would imagine some nodding heads in the room that we would say data governance is difficult under the best circumstances It's complex under the best circumstances. We'll take that as truth for the context of this question So the question I ask My tutorial in a lot of the classes, which leads to a little bit of an uncomfortable Response is what does wildly successful data governance look like? And so that's the question asked that and that can be difficult to answer I'm gonna ask you guys this is a keynote panel. You guys get the 400 level question, which is What does wildly successful data governance look like in 2026 or 2027 say five years from now And how is it different from today? We we don't do strategies at the five-year level anymore, anthony So You know, what is what is successful look like? I'm not sure that successful is going to look particularly different Right in the future than it does right now success means Um, you can you can find the data and you can get access to it in very short periods of time Appropriate access by the way So let me take that So I consider data governance as a defense While data science data engineering is offense of any any strategy, right? So the defense in the sense that like, uh, of course you need both pillar of of Any game, but we are playing here So the data governance the defense is good. That means that most of the time if the ball is in the offense side This is a good idea right if the ball is the defense side all the time that you don't want that to happen Right. So in order to the successful data governance program is actually Should feel like that that is nothing is happening there the most of the time the offense is working all the time but as as uh, apple said that that nice successful data governance program is Paint a picture you go to the google you search the data. Okay. I need my customer information you get it that is information right away And it has a phi information it also have some, uh, you know information and then you realize though, okay I have all the customer data, but there is a source of security number as well There's a salary information of employees as well But I need approval to see the social security number. I create I Put the button and the proper access management because I am not aligned to see it I got the permission. I got it and and then I was able to get the data, but I was not allowed to get the salary data That's fine. I was able to query the data and then we were to do it This whole part of the management aspect of this has been done and taken care of it when I say customer This actually is a customer when I say employee this actually is employee. There is only one customer information There is only one employee information There are not 50 different employee information And even in the my company right now if I if I have three systems The three system will show the different employee count, which is a pure information. I forget about IBM like I don't think they can even count the number of employees they have so Like so so and this is a true like You know the forget about the number of customers because that's in too many places like just the employee count is difficult So that's how what that successful data governance program should be and it's not that difficult to even even do it now but the most of the time what I see is that organization is focusing too much on the On the actually to do how's to do it right really going to the details But sometimes the people are either focused at the top level and sometimes people are focused at the bottom level There is a comprehensive approach of achieving this you required from the top to bottom approach So people should know and the strategy should also know how to implement it Right, so that's where is the missing gap I feel personally that in most of the time people I have seen the lot of experienced people here But they it seems like they're talking at the very top level But there is detail is missing sometime But when you tell the detail people then the strategy is missing So if you combine strategy through the detail, then you have a successful winning formula. That's personally, I feel I I want to jump in here. This is one of those cases where I have like a very clear strong opinion on this um, I I think I I'm really clear about what I think is the litmus test how you can tell if you're having a really successful data governance And it's where the word shows up. It's where you notice the word sharing up showing up And I can give you really concrete examples When you're having meetings if you start noticing meetings in the company and the meetings are not data governance meetings per se And you're hearing the word data governance come out of the mouths of people in those meetings who are not Data stewards are not officially part of the data governance program You're seeing that it's become a common vocabulary word across the vernacular of your organization You're having a really really good success Other places where the word should show up if you have and you should have a universal company onboarding like every new employee first day on the job Maybe first two days goes through hours of what isn't mentioned in there Is it mention how many times is it mentioned? It should be mentioned like a few times beginning middle and end of the onboarding process Not because you forced it but because the marketing department wouldn't even think of doing their 30 minute section of the onboarding without mentioning data governance somewhere When you see it showing up like that The other thing is in employee evaluations once a year twice a year You probably have a standard template tool for all the employees to be be reviewed This is whether they're going to get a promotion or not Are they other than the data governance program staff? Is data governance mentioned In the in the in the templated questions that the managers are setting up by which they're going to review all their employees Across most of the organization You can check how widely dispersed this word is coming up and when it's coming up in all those places You have a dynamite You know data governance program. I just want to leave you with nine words from my perspective Your governance program is successful if you know your data You can trust the data and you can use your data real simple It's all about the data knowing where it's at Can you actually trust the quality of it and are your consumers of that data satisfied? So nine words So in the interest of time, I think this is a great place to close I just want to thank all the panelists. Thank you Tony. Thank you all of the folks attending Hopefully you learned something today. I really appreciate the opportunity To be part of this. Thank you, Anthony


Now, we have another session, which is the Wiki Women Open Discussion, Language, Diversity and Gender, to be led by Tila Capolaro, who is online, and Masana. Thank you so much, French, and we are incredibly efficient with some time to spare, so we have more time for discussion. Thank you so much to our panelists for making space for everyone to participate. Tila, for colleagues who are online, nice to see you. Thank you so much, Rosie. I was actually going to run so that you can be comfortable. Tila is in the chat room answering questions. I've been told that we will have a summary of questions pulled up on the screen, and whilst we're getting our summary of questions from online, we would love to hear from you, all of you. Everybody has to say something at least once today. Any thoughts and reflections on the presentations, questions for our panelists, for our wonderful organizing team, reflections on Wiki Women Summit? Yay! I did have a question about the speedy deletion process. How actually easy is it when you get a situation like that to get images speedy deleted from Wiki Commons? Obviously it's very important to happen if someone wants their image speedy deleted certainly in a situation like that. I'm just wondering whether the processes make it easy for you to do that. Does anyone have any? Yeah, Sanchin and Mariana, can we turn to you for that question, and can folks raise their hands? Rosie and I are just going to move through the room and make eye contact with people to get participation. How quick is the speedy deletion process in your experience? Well, not as quick as we would want it to be, but we have a resource on how to request or ask for speedy deletion. I think it also helps to know some people, and I think that we are happy to share what that protocol and that link to that process is, but we wish it was much quicker. Sometimes it could take hours, could take days depending on what you want to be deleted, but we do have a resource that we can share. Thank you. That would be fantastic, and I definitely confirm that we have had experiences of people not even knowing who to ask, and I think that's one of the ways in which we can build up safeguarding in our movement, which is how do we make it easy for women and non-binary people to find information when they need help, and how do we build up a body of volunteers and WMF staff who can step in to support speedy deletion. But it is a gap, and Marianna and Sunshine, if I could ask you to email that to me, and I can post that on the Twitter page. More questions, more comments. More inspiration. Yeah, thank you so much. I have a little consent regarding tools. I was reading a research about women. I think one of the community did a research about women, and they were talking about how women find the interface of Wikimedia projects unfriendly. It's like it's something that we don't like to do, but amazingly, there are tools that have been created. When you go to Toolforge, you see a lot of tools. But I was wondering, I was still looking for a tool that can help me to edit about women, because you could have tools that enables you to edit about particular topics, let's say history, maybe this country, monuments, like specific things. But I was looking for women, I wasn't finding it. So I'm wondering, I'm not a developer, I don't develop tools, but as a Wikimedia movement here, we're concerned about women. How are we trying to maybe work with this developer community to develop those kind of tools that can help us to edit about women? I can start answering the question, and then we'll have someone continue. The community called Women in Red has a resources center where there aren't what I would call tools, so I need someone to answer that, but there are essays regarding specifically things one might do when editing articles representative about women. So it's not only the biographies, but also information about women's works, broadly construed women's issues, broadly construed. It's not a tool, but it's information as to things you should be aware of, frequently asked questions, tips and tricks, things like that. Hello. I'm very impressed about the work that they presented from Wiki, Visible Women, by Whose Knowledge. We have this project called Gender and Cultural Diversity on Commerce and Feminism, and we are trying to understand the diversity of Wikimedia commons farce on commons, and we are currently working to build like a tool that will help us annotate random images to see how diversified images are. We already know about the gender gap on Wikipedia, but we don't know how it is on Wikimedia commons. So we are currently at the early stage of the research, and I'm really curious to know how you are working with tools like Ruby mentioned. Do you have any tool that you are currently working with in terms of your work? How do you identify random images to be able to understand what exactly they represent on Wikimedia commons as part of your work at Visible Women or Whose Knowledge? We are also calling on people who are interested in exploring or want to know about how we can help identify this diversity or cultural and gender diversity on Wikimedia commons. So we invited people to help us annotate random images and we're happy to learn more about what is working with other communities and how they've been able to navigate around these challenges to identify all these cultural diversity on Wikimedia commons. So I'm just using this as an opportunity to invite people who are interested in exploring with us, and also if you have any idea about how you can help us discover these findings, that would be very, very useful. Thank you. Thank you for the question. It's very interesting. We don't have a specific tool and so we need to talk and figure out together and plan it together. We know, we are exploring the tool called ESA, many of you know, I think that Wikilob's women have been using that tool for a long time now, and it's a tool for that you select a category on commons and then there is like a game, you see images and you can add descriptions, captions, Wikidata, distributed data items, and we really want to organize something like a data fest or a feminist data tunnel, something like that, for doing that exactly. So maybe we can speak and organize something together around that. But in terms of our analysis on diversity until now is not an analysis based on quantitative research. We have also observations. We document what we see and we try to speak about that, analyze that, but we really want to develop maybe including qualitative methods for analyzing the images, annotate with a feminist land, the images. So that's the work we are doing so far. We are far, but maybe we can do things together around that. We have some questions online. Yes, I will read them. Colleagues online, Sheila is there and copying and pasting your questions for us to be able to read them. So please feel free to engage in that space. The first one is from Aynali. In my opinion, the automatic image recognition should just be disabled as it often suggests two generic tags. It's not so much a question, but a reflection of the ongoing discussion on comments, talk, structured data. So thank you for that reflection. Any of our panelists or anyone else in the audience have a reflection on the generic uploads or related? Also curious regarding the first session that we heard Clifford and Colleen and Christine speak about regarding the use of maybe chat GBT to help with the work on Wikipedia. Does anyone else have that experience? And if so, how's that been for you? Is anyone trying to use chat GBT or what? Ah, we have one here. And can we just ask colleagues to stand and introduce themselves for our participants online if you're comfortable? Hi. My name is William and I'm from the United States. And on the topic of using chat GBT in work with Wikipedia, this is something that I have tested out on several occasions to try and figure out, like, how can we use this? And, like, what can this do mainly? Because the best way to figure out what something can do is to push against the limits of it and try to figure out how does it react to these situations. And I've often found that, like, a lot of people when thinking about chat GBT, as it is with Wikipedia, would simply think about, can we just use this to automatically generate articles? And, well, to that, the answer is yes, but with a lot of asterisks. Because it can either make stuff up or include it making up citations. So that's something that one has to think about. However, something that I've wanted to bring up here is the potential of using it for applications beyond just generating articles by itself. Like, for example, can you use it to find problems with articles or suggest improvements for articles? The first session in here earlier today kind of touched on that a little by discussing, can we use it to address biases, for example? And also, if you connect chat GBT with or other language models with the Internet, and can you use these to find sources for topics? So I guess the main thing to think about here is what are the possible applications beyond just generating articles by itself? And obviously, if we use these for these purposes, we can find a lot of benefits to the incorporation of AI tools. Thank you, William. Leta. Just starting on to what you said. For me, the main interest in using chat GBT was to find the knowledge gaps in existing Wikipedia articles, particularly in women's health. What I did was I copied the whole text of the article, put it up on chat GBT and asked chat GBT what was missing in that article. And it was sometimes quite good in finding out, saying that, look, it doesn't say anything about the clinical implications of this condition or it doesn't say about the anatomy of this particular organ. So there were some points which I could always take from chat GBT and try and think about it and incorporate into that article. But on the other hand, when I tried to make chat GBT write a full article about a particular anatomical structure or a particular disease, it was quite incomplete. It was always hallucinating and it just brought up a lot of, you know, made up citations from different things. I mean, there were so many things which did not exist in real life, but chat GBT was just using it. So I think it's useful when it comes to, you know, if you want to rephrase some sentences, you have got a particular text from a particular journal article which you want to rephrase into popular science or, you know, a language that people can, most people can understand. In that case, chat GBT is quite good at rephrasing your sentences. But to create knowledge, I think you always have to use your discretion and figure out if this is true, before you actually put that up on Wikipedia. So I think the future where chat GBT generates articles automatically, it's quite, quite far. I don't know if we'll ever reach there, but can chat GBT assist humans to make articles have more quality? Yes, I think that is possible. Hello? And I... Yeah. Come to think of it, I should submit a topic about chat GBT here. Okay, and I think it's... There are a couple of points that's quite interesting about chat, using chat GBT about this. One point is that I call it about... I call it design political correct. Design political correct. That means that, for example, I asked chat GBT about... and to discuss about the Disney movie Little Mermaid using a black woman as a leading actress. And its answer is so pleasing that outstand almost 80% of things that you saw on the Internet. Yeah, so that's why I call it... It has something... don't not be evil. So it has something... I say that design political correct. I think that is very quite interesting. It's quite good because if you are using it as a tool for students to learn something and for some... And that is one thing. And the other thing is that I try to use it to translate the article from English to... to translate Wikipedia article from English to Chinese. And along with... along with Google Translate, it works well. And I think it's good to be too... There are two copies of translation that you can compare them. But another benefit is that if you don't understand the translation you can still ask it about to explain it. Yeah. And you can still ask it. And there's a trick here is that because chat is trained in different language with different texts. So if you ask... ask the same question in English or in Chinese or in different in French it may get you different answers. Yeah. And that is a little trick you must consider. Yeah. Thank you so much everyone. Any... Yes. Hi. Please, my name is Ruby from Ghana and I'm part of the Open Foundation West Africa community. I'm very interested. I wanted to ask the follow-up question regarding what she's saying that if you ask chat's TTP in a different language it gives you different responses. Could it be that it picks references from that language category or... I just wanted to understand the disparities. Yeah. The questions we asked just TTP you said it changes when you ask different languages. And why is that? Yeah. Because you actually actually learn from a lot of public texts. Yeah. Try to really learn from... Actually actually I'm not quite... I'm not 100% correct because every time you ask TTP you'll give you a different answer. Okay. So... So even if you ask it in English twice you'll give you two different English texts. Last time I asked you about a question about transgender women and next time I want to copy it and ask it again, well, I cannot find the original answer. It's a generating machine. It generates an answer for you. So we don't have a standard answer there. But... The difference of different languages because you learn from a different language when it... that is caused by the course that you learn. In English you learn from the English text in this content all the free English text in the world. But in Chinese then you learn from all the different language free Chinese in the world. And there's a cultural difference between the free Chinese text and free English text. So you'll get free... you'll get different results. That's sometimes because and so sometimes I cannot get results in Chinese because most of the recent documents are... recent document... changing documents are in English. So I cannot get results in Chinese. And that is... I don't know if... does that answer your question? Great. We have about a minute left for any final reflections. Hi, I'm Natalia and I was sitting here and thinking that in 2011 I was in Gdańsk in Wikimedia and we had a Wikimoman lunch. One of the first one. And it was such a small group of us and we were kind of shy about it. Is it okay that we take this space, that we do it? And I remember the conversations were actually about how can we create a space with more diversity in this movement. I'm here at the Wikimoman summit and I'm a bit emotional because we kind of have this space already. We're not talking about can we have a diverse space in this movement? We have it. We celebrate it. And I'm listening to the sessions thinking that we are in such a different place because right now we are experimenting with how can we build diversity in many different ways through data, through images, through languages. We actually got here. It's like absolutely amazing. Just a last I wanted to recommend especially those random contests in like Wikimedia Commons contests. I would strongly recommend that we describe images in our languages like local languages. Especially when you are uploading images about women. Most of the time we just put the descriptions in English without putting the description in other languages. I think it helps a lot. One of the examples I found was Dagbani. I was looking for the name of something in Dagbani. I don't know the Dagbani name but I just typed it in English and then it brought the image because there was a description of that which has an image, the description in English and Dagbani. So I was able to see the picture and I could find the real name of that particular file in my language. So for somebody who like to work with language companies, I would strongly recommend that we try to include these descriptions in various languages, not just English. Thank you. Thank you very much. We're going to take a short coffee break now. There's coffee service for us in the main concourse where you got your name badges and come back after to see you at a quarter tail. One moment. Kelsey I thought Kelsey was saying something. Kelsey was making a motion. She says it's okay. Thank you. See you at a quarter tail.


I'll control my team, he's going to be in a rolling because he's clearing, but my team will disperse more.  Right here. Once they get to the pre-tied nozzle. Alright, let's go.


Hi friends, welcome back to my channel and a very special welcome if you're new here. My name is Jen. I'm a certified weight loss and nutrition coach and I'm on WW personal points. Happy Saturday. It is Saturday. So that means it is grocery haul day. I shopped at two stores this week and I was on the hunt for all things fall, all things pumpkin spice. I have a ton of new food finds for you and I'm really excited. So if you are excited to give this video a thumbs up, subscribe if you're not and make sure your bell notification is turned on because we do a grocery haul every Saturday and I upload five videos per week. Check out the description box down below for nutrition coaching. I can't recommend personal macros and calories enough. This is how I've lost over 120 pounds. It's a game changer for weight loss and I have one-on-one coaching as well. Links, discounts to my favorite things and last but not least, come and join our Facebook group. It's free, it's supportive and we'd love to have you. So let me flip you around and let's jump in to the grocery haul. So here is this week's grocery haul. I shopped at both Sprouts and Walmart. I was on the hunt for all the pumpkin spice things. I did end up finding quite a few so I have some fun new food finds to share with you. So let's jump in to the grocery haul. I always buy the little mini cucumbers from Sprouts. They're my favorite things in the whole entire world and I ran out earlier in the week and kind of panicked.  I actually shared the lemonade one in a grocery haul a couple of weeks ago and let you guys know that how amazing it was. It is so good and this is on sale right now. It's sprouts for 349 a bag, which is a really good deal. Nice, clean, clean ingredients and it's just really good. The lemonade, it's like a crystallized sugary lemon. Really delicious and then I saw the peach mango so I had to pick that up too because I love the lemonade so much and I actually taste tested the pumpkin spice in Wednesday's what I eat in a day. So I'll link that video down below if you missed it. We did a little first impression taste test of the pumpkin spice, but I've just been loving this brand. And you also know I love the wild chips. These are high protein chips. They actually have 10 grams of protein per serving. So whenever I want a crunchy snack and you guys know I have a protein goal that is top priority for me. These come in really handy and they're Bogo at Sprouts They have a lot of buy one get one free deals going on right now. So I have sea salt and vinegar and Himalayan pink sea salt. I did grab a four pack of Chobani zero sugar and vanilla. There wasn't really a lot of yogurt options at Sprouts. So I grabbed this one just because it's lower in carbon. I can judge this up with some fruit and some granola. So I picked up the four pack. Lots of fruit. You know I love the produce at Sprouts the best. So I have three of the little six ounce blackberries, a one pound flat of blueberries and then a big pack of raspberries. I gravitate towards berries the most just because I enjoy them and they are a lower carb higher fiber fruit option. And then last but not least from Sprouts I did pick up the shredded chicken and I grabbed this one because it's really shredded which I appreciate. This is just a convenience food for me. Whenever I need protein or I don't wanna cook a meal, a lunch or a dinner I can make really anything with this shredded chicken and both Tori and I love it. So we go through the entire pack in less than a week. First thing I picked up at Walmart is a big tub of Country Crock-Lite. This is Tori's very favorite butter and we are just about out. Here's my first pumpkin spice vine. So this is from Super Coffee and this is the pumpkin pie latte. Now I've tried a couple of the super coffees. You guys have seen me haul them. The blueberry one I really liked the caramel waffle cookie one I didn't love. So we're gonna try this. We're gonna try the pumpkin pie latte. The entire bottle is only 70 calories and it has 10 grams of protein. So we're gonna see if this one is as good as the blueberry one. And I also picked up another pack of the Gilbert's Sausage. I love this sausage. It was incredible and I haven't tried the Aloha one yet. This one sounds really good.  So stay tuned for that video. Make sure you're subscribed and your bells on so you don't miss it. We were completely out of salad dressing so I grabbed some Hidden Valley Ranch Light and then Troy's favorite dressing is the Lighthouse Chunky Blue Cheese so I picked up the big, squeezy bottle. I needed some turkey gravy for a dinner recipe and this one from Heinz is my favorite. That free evaporated milk. This is for this next week's meal prep. I'm really excited for the recipes. Stay tuned after the grocery haul to see what's on my menu for dinners and what you'll see Monday in meal prep. A restock of Parmesan cheese because we are completely out. And I did go ahead and grab two yogurts at Walmart and I'm glad that I did because like I said, I didn't have a lot of options at Sprout's so I have one of the Oikos Triple Zero in the salted caramel and then the seasonal flavor of the light and fit caramel apple pie. This one isn't my favorite only because the ingredients aren't the best in this yogurt. I mean the ingredients in the Oikos and stuff aren't the best either but this one really has some of the worst ingredients but I wanted to try the caramel apple pie. Some pure vanilla extract because I was out of vanilla extract. I should have bought it at Costco and didn't but I will be making a Sam's Club run later this month and we'll pick up a big one. So this little small guy will get me by. Pumpkin spice find number two is from Goldfish partnered with Dunkin Donuts. Pumpkin spice grams. Yes, please, doesn't that sound so good? You can have 52 pieces for 140 calories. I hope that these are all my pumpkin spice dreams come true, they sound amazing. I also picked up another box of the Skittles water enhancer in the tropical. I love this water enhancer. Now, is it the best cleanest water enhancer? No, but I like it and it helps me drink my water and also it makes amazing ice cream in the ninja creamy. I picked up the Bob Evans mashed potatoes because I needed mashed potatoes for a recipe and this is seriously convenient. It's already ready to go, you just have to warm it up and we do like to add the shredded chicken to the mashed potatoes as a quick, easy meal as well. Two bags of cheese, some Italian style for a dinner recipe and then some light shredded mozzarella also for a recipe.  Some 1% milk for Troy. I buy him a gallon of milk every week. Remember when we lived in Washington and he worked for the dairy, we got three milk. Now we get to buy it every single week. Some light cool whip. This has still been my go-to for dessert. I have some berries with a little bit of light cool whip and it cures that sweet tooth but it gives me some fiber and it's so good so I picked up another tub. This is a new food find for me. These are the non-round. So these are the stone fire non. So you can make sandwiches out of them. I was thinking you could also do open-faced avocado toast with them. Two of the rounds is 180 calories. So I figured maybe just one round and like I said, avocado toast out of it. You could add tuna salad, egg salad. I love non-bread and I'm really excited to try these out. Hey, editing Jen here. I almost forgot to mention about a huge Labor Day sale that I wanted to tell you guys about. You know how much I love my collagen for her. I actually put collagen in my coffee every single day I have for years and I say all the time that I feel like this attributes a lot to me having less than average loose skin for losing over 120 pounds. I notice a big difference in fine lines and wrinkles on my face, cellulite on my body. It's made a huge, huge difference and you know I love collagen for her. It's a woman owned small business, collagen made for us. Not vital collagen that's made for the masses. Collagen that is made specifically for women. So I use the collagen peptide powder in my coffee every single morning. I put in one scoop which gives me 10 grams of protein. It's not a complete protein. So I don't count it towards my protein goal but I do track it because it is such a great source of collagen and protein. And then I also love their beauty collagen blend as well. So this is their beauty blend and I really like this one because it has hyaluronic acid is really, really good for your skin. So they are having their Labor Day sales starting this Thursday, September 1st through Monday through Labor Day. I will put all of the details here on the screen for the sale. I'll put them down in the description box for you but it's an incredible sale. So if you need a restock of your collagen or you haven't jumped on the collagen train yet, now is the time. I cannot recommend collagen for her enough. It has been a game changer for me. I needed some cornbread stuffing for a dinner recipe and I also needed some sourdough bread for a recipe and I thought whatever bread was left over we can use for toast. Troy likes to make sandwiches in toast as well. And then I did pick up two more of the little fruit and cheese bite packs. I tell you guys all the time that Troy really likes these and he takes these for golf and they were on sale. So I grabbed two more. I also picked up a big bundle of asparagus for a dinner recipe. What you don't see is a case of beer and a case of diet coke. So that is everything and this week's grocery haul. Let's jump into what's on my menu for dinners and for meal prep on Monday. So here is what is on my menu for the week. Today's Saturday we are out to a dinner as always. Sunday we're going to do a burger night. The weather is so nice here. We're going to grill outside. Monday we are doing meatball, sub-casual, stay tuned. This recipe will be in Wednesdays what I eat in a day and I cannot wait. Tuesday's leftovers, Wednesday is garlic, herb, chicken and asparagus. I want to use some of those chicken thighs I picked up from Costco. Thursday's leftovers and then Friday of next week we actually go out to dinner with our neighbor. And here's what you'll be seeing for meal prep on Monday. You guys are not going to want to miss it. For breakfast I'm making cinnamon roll muffins. Yes, cinnamon roll in muffin form. What could be better than that? For lunch I'm doing a stuffing crust turkey pot pie. This is all the fall feels. And then for a snack we're doing pumpkin crisp. I seriously cannot wait for this. So stay tuned on Monday for all three recipes. Thank you for joining me for this week's WW grocery haul. I hope you like seeing all the pumpkin spice vibes that are happening, all the new food finds. I can't wait for meal prep on Monday. These three recipes are going to be incredible. So if you're excited give this video a thumbs up. Don't forget to subscribe and turn your bell on so you never miss a grocery haul or any other video. Check out that description box down below for nutrition coaching, as well as links and discounts to my favorite healthy things. And come on over, join my Facebook group. We'd love to have you. Happy Saturday friends. And I'll see you in tomorrow's video. Bye.


Hi and welcome to the session. I am Asha and I am going to help you solve the following problem that says factorize x cube minus 3x square minus 9x minus 5. So let us start with the solution and let the given polynomial be denoted by px. So px is equal to x cube minus 3x square minus 9x minus 5. We shall now look for all the factors of minus 5 and some of the factors of minus 5 are plus minus 1 and plus minus 5 and now we will replace this x by these values of the factors of minus 5 such that we get the value of this polynomial as 0. Now observing one by one we find that on replacing x by 5 we get the value of the polynomial as 0. So let us check 5 raised to the power 3 minus 3 into 5 raised to the power 2 minus 9 into 5 minus 5. Now 5 raised to the power 3 is 125 minus 3 5 raised to the power 2 is 25 minus 9 into 5 is 45 and thus in the next step we have 125 this is 75 minus 45 minus 5 which is further equal to 125 and on adding all these negative terms we get minus 125 which is further equal to 0. Thus on replacing x by 5 we get the value of the polynomial as 0. So this implies x minus 5 is a factor of px and so on dividing px which is x cube minus 3x square minus 9x minus 5 by x minus 5 first on multiplying x minus 5 with x square we get x cube minus 5x square. Now changing sign these two cancels out and we are left with 2x square taking minus 9x in the denominator then we have plus 2x and on multiplying plus 2x square x minus 5 we get 2x square minus 5 into 2x minus 10x. Again on changing signs these two cancels out and this comes out to be x minus 5. Now multiplying x minus 5 with 1 we get x minus 5 and on changing the signs we get the remainder as 0. Now since dividend is equal to divisor into quotient plus remainder and our dividend is px divisor is x minus 5 and on dividing px by x minus 5 we get the quotient as x square plus 2x plus 1 and the remainder is 0. Now x square plus 2x plus 1 can be written as x square plus x plus x plus 1 by splitting the middle term. Now taking x common from the first two terms and one common from the last two terms it can further be written as x into x plus 1 plus 1 into x plus 1. Now taking x plus 1 common we have x plus 1 and here we are left with x and here plus 1. So we have px is equal to x minus 5 and x square plus 2x plus 1 can be written as x plus 1 into x plus 1 and thus the given polynomial x cube minus 3x square minus 9x minus 5 is equal to x plus 1 into x plus 1 into x minus 5. So this completes the second part. Hope you enjoyed it. Take care and have a good day.


Hello again! So you've watched our intro video, and now you're ready to venture into the world of human resources. This unit focuses on the history of human resources, or HR, as it's more commonly known. We begin with the discussion of the welfare of U.S. workers. Employee health and safety has been a rising concern of both businesses and government. Increased government intervention means today's HR professionals must be informed generalists. What this means is that they need to be able to quickly learn and understand new employment laws and regulations, in addition to managing the interaction of technology, workflow, organizational strategies, and of course, people. As you progress, you'll learn that personal management and HR development are actually very separate functions in the office. I hope you are beginning to see how important HR is to an organization. Good luck, and I'll see you again in Unit 2.


So, welcome back. In the last class, we had looked at the Hammett equation. So, essentially what the Hammett equation does is, it correlates for any given reaction log of kx over kh where x is the substituent that is varied on the aromatic ring. So, this correlation with sigma which is the substituent constant and rho is called the reaction constant and it tells you how a particular reaction corresponds to the benzoic acid dissociation which is used for determination of the substituent constant. So, we had looked at how this could be used to get what is called as a Hammett plot for a reaction. So, the Hammett plot is a plot of log of kx over kh versus sigma and the slope of the plot is your reaction constant which is rho. And this could be used to get information about the intermediate or transition state of a particular reaction. We also saw how this could be used to distinguish between mechanisms. We had used this to distinguish between SN2 and SN1 mechanisms. So, before leaving, I had given you an example. So, if you look at this reaction where you have deprotonation of an aromatic amine. So, let us look at the k value for this reaction. So, now I had asked you to do firstly write the mechanism for this reaction. So, the mechanism for this is straightforward. It is just a deprotonation as is shown here. But now what you need to think of is when you look at the reactant which is protonated, when you go from reactant to your transition state. So, this is the transition state. So, in the transition state the NH bond is partially broken. So, what that does is that would reduce the charge on. So, that would reduce the charge on the nitrogen here. So, now what you need to think of is as you vary the substituent on the aromatic ring, what effect it would have on the reaction. As I told you the easiest thing to do is look at two extreme situations where you have X as NO2 and X as say OME or OH. You can use either of these cases. Now in this case when you have X as OME what it does is this would stabilize the reactant and this would stabilize reactant more than the transition state. Whereas X as NO2 would destabilize your reactant. So, as I told you last time if you now think of the reaction coordinate diagram where you look at E versus reaction coordinate in the case of an electron releasing group what would happen is if this is H and this is your reaction profile diagram. In the case of an electron releasing group let us say X is OME it would stabilize your reactant. But it would not stabilize the transition state to the same level. So, what you would have is you would end up having a greater activation energy barrier. So, what you would have is for an electron releasing group you will have KX less than KH for an electron releasing group. Whereas for an electron withdrawing group what will happen is since the reactant is destabilized. So, let us look at this case where this is NO2. Now because the reactant is destabilized its energy has increased. So, now what will happen is and the corresponding increase in transition state energy is not as much. So, now what you have is you have a decrease in activation energy. So, what you would have is you will have KX actually greater than KH when you have an electron withdrawing group. So, now this is a case very similar to the benzoic acid case. So, again remember the weighing scale that we were talking about you have hydrogen in the middle, electron withdrawing groups to the right, electron releasing groups to the left. So, electron withdrawing groups are increasing the rate of the reaction. So, now what you have is a positive slope. So, in this case the rho value is actually positive and if you see the value is quite high in magnitude it is 3.19 and that is because the positive charge in your reactant is in conjugation with the aromatic ring. So, whenever you are you are analyzing any particular reaction to determine the rho value it is very important that you understand how the reaction works. You cannot directly jump and say that you see a negative charge the rho will be positive or you see a positive charge the rho will be negative. So, we have done two examples now where this is not the case. But then what you would see in both of these examples is that in this case for example what you see is that the positive charge is reducing from the reactant to the transition state. Now let us look at an interesting application of the Hammett plot. This is again to determine the mechanism of a particular reaction. The reaction that we are looking at is hydrolysis of carbamides. So, this functional group here is called a carbamide. So, you must be aware of CONH which is an amide just the NH which is an amine OCONH this functional group is called a carbamide. So, while considering the base assisted hydrolysis of carbamide one can imagine a mechanism where OH- first deprotonates this NH to generate the anion. Once you have generated the anion you can imagine the anion pushing in the electrons here and this bond cleaving. So, what you end up generating is a phenoxide and then what you can imagine is you can imagine water attacking the carbamide here to give you the hydrolyzed carbamide which would further decompose to give you the amine and carbon dioxide. Now another mechanism for this would be where you have the OH- acting as a nucleophile instead of the base. So, the OH- now is a nucleophile it will attack here and what you end up getting is a tetrahedral intermediate. Now when the Hammett analysis was done for this reaction what was found was that the rho value is 2.62. So, now which of these pathways is the reaction going through? So, you can carefully look at both mechanisms let us say call this path A and we can call this path V. So, now what I want you to think about is based on the rho value which is a positive slope indicating electron withdrawing groups increase the rate electron releasing groups decrease the rate. So, now if you have a positive slope which of these pathways is operative? Pathway A or pathway B?  So, if you are confused I can give you one more hint what is known is that whenever you have an acid base kind of equilibrium that would happen pretty quickly as compared to the dissociation we are talking about. So, for path A the rate determining step is the second step whereas for path B the rate determining step is the first step. Now with this information are you able to say which is the pathway for hydrolysis of carbamate? Now the magnitude of this is greater than 1. So, what that indicates is that it is more sensitive than benzoic acid correct we had seen that in the previous two lectures. So, now that you know this is more sensitive than benzoic acid what you can say is that the negative charge that is formed in the intermediate would be highly influenced by the substituent which could be seen in this case because you have the negative charge in conjugation with the aromatic ring. So, by this we can say that hydrolysis of carbamates is going through path A. Now is there a way in which we can force the hydrolysis to go through path B? Now this might seem very confusing at first when I tell you that can we actually design a catalyst such that the catalyst will allow the reaction to go only by path B or in other words it would stabilize the transition state for path B more than path A is this possible? So, to do that an approach that was followed in a research lab was that this particular molecule was taken as what is called as a transition state analog. So, it was taken as the analog of the transition state going from the starting material to this tetrahedral intermediate in path B. The only difference being that instead of oxygen you have a carbon here and you have a phosphorus here instead of carbon. Now this was used to determine the antibody catalyst or you can think of it as a particular kind of enzyme for carbamate hydrolysis. So, multiple enzymes were taken and their interaction with this transition state analog was determined. As you know for a reaction to be catalyzed by an enzyme it is very important that your transition state fits in very nicely into the enzymes catalytic or active site, catalytic pocket or active site. So, in this case the transition state analog was taken and multiple enzymes were screened to see which enzymes fit very well with this transition state analog.  Now that enzyme was chosen to be the catalyst for the reaction above which is hydrolysis of carbamate. The logic being that because this is so similar to the transition state shown here what would happen is the energy for this transition state would be significantly lowered as compared to the transition states in pathway A. So, with this idea what was done was the enzyme that was screened that is the enzyme which stuck best with the transition state analog was taken and the selected catalyst was used for carbamate hydrolysis and what was observed was that the row value now decreased dramatically from 2.62 to 0.53 which indicated that the pathway actually switched from A to B and why is the value low can you again look at the structure of tetrahedral intermediate eye and try to reason why this is the case you can pause your video and think about it. So, now in the case of the tetrahedral intermediate the negative charge is quite far away from the aromatic ring. So, in the case of benzoic acid you had carbon and then O minus in this case you have an oxygen you have another carbon and then you have O minus. So, it is pretty far away from the aromatic ring which is why the effect is lesser than benzoic acid. So, it is less than 1 because the negative charge is further away from the aromatic ring. So, this is a very beautiful illustration of how a catalyst was actually designed such that the pathway switches from the uncatalyzed reaction. So, in this case uncatalyzed reaction went by pathway A whereas the catalyzed reaction went by pathway B. Now what was observed when these correlations were being made was that if you compare a reaction for example this is your standard reaction for getting the sigma scale. Now suppose I am comparing a reaction this is also a deprotonation reaction in this case we are looking at deprotonation of a phenol to phenoxide. Now in this case what is happening if I have a substituent say I have O minus in this case the negative charge is directly in resonance with the ring. So, there is a high degree of stabilization. So, this is highly stabilized. Similarly if I have an electron releasing group it will make it highly destabilized. So, now if I compare it with the case of benzoic acid if I have a nitro group here if you remember when we had written the resonance structures earlier. So, when you have a nitro group you just end up generating a positive charge O minus. So, this is not as stabilizing as the case of the phenoxide. So, what was seen was that in cases where the reaction involves a direct interaction between the substituent via the aromatic ring the correlation was not as great with benzoic acid. So, you will not find all the dots corresponding to substituents lying on a straight line. So, then what was said is that for these reactions two new scales would be introduced. So, for a negatively charged intermediate a new scale which is the sigma minus scale was introduced. So, in this case as you can see the negative charge is in conjugation with the aromatic ring. And for a positively charged intermediate a new sigma plus scale was introduced because here this is an SN1 reaction. So, the carbocation that is generated is in conjugation with the aromatic ring. So, with these two new scales we can again look at the extended table for substituent constants. So, we had already looked at sigma P and sigma M. What you would see is now in the case for example NH2 what you see is that sigma plus. So, what was the reaction for sigma plus? For sigma plus it was the SN1 reaction. So, at SN1 reaction where you had the AR3CCl and sigma minus it was deprotonation of the phenol. Now if you think of an electron releasing substituent let us look at a highly electron releasing substituent which is NH2. When you have NH2 it will highly, highly stabilize the reaction which is your SN1 reaction. So, what you would see here is when you have NH2 the magnitude is much higher. So, sigma P for benzoic acid was 0.66 whereas for the new scale which is the sigma plus scale the value goes up to 1.3. Now one might wonder why is the value negative? Because as what we have studied when you have an electron releasing substituent and a positively charged intermediate the electron releasing substituent should actually stabilize it. So, the KL should actually be greater than KH. But in order to keep the scales consistent where always negative sigma values correspond to electron releasing groups in this case it is switched such that the negative value is maintained. So, the negative value is just put in order to maintain consistency. It is the magnitude which is important. What you see here is now a large increase in the value of sigma plus. Similarly when you have OH again there is a large increase because now you are taking into account resonance. So, the same effect can be seen for OME and ME and very interestingly when you look at pH it has now gone from a withdrawing group or one with marginal effect to a releasing group in the sigma plus scale. Because now the resonance contribution is much more important than the inductive contribution. Similarly fluoride has also gone slightly towards the electron releasing side in the case of the sigma plus scale. With the other halides what you see is that the magnitude slightly decreases because now the effect of resonance is slightly more than the inductive effect. In the case of sigma minus what is seen is that when you have pH so sigma minus is the phenoxide there is not much difference between the sigma P and the sigma minus scale. But if you look at the other withdrawing substituents such as carboxylic acid what you see is the magnitude has gone up. So, now you have 0.73 as compared to 0.44 for carboxylic acid. Similarly if you see CF3 you see a great increase in magnitude or CN for that matter where you have the largest increase in magnitude where it goes to 0.99. Similarly for NO2 it goes to 1.23. So, what you see is the sigma minus scale is very very useful for electron withdrawing substituents which will stabilize the phenoxide via conjugation. Similarly the sigma plus scale is very important for electron releasing groups which will stabilize the carbocation which is in conjugation with the aromatic ring. So, now that we know multiple scales so we have now looked at sigma scale which corresponds to benzoic acid dissociation, sigma plus scale which corresponds to the SN1 reaction and sigma minus scale which corresponds to the phenoxide ion formation. So, there are equations that people have used instead of the Hammett equation to see if the inductive and resonance effects can be decoupled. So, one example is the Yukawa Suno plot or equation. In this case what you see is on the right instead of just the simple rho sigma you have an additional term which is rho R into sigma plus minus sigma. The R stands for the resonance contribution. The logic being that sigma plus is a combination of the resonance as well as inductive effect whereas the sigma scale because you do not have direct conjugation with the benzoic ion is mainly the inductive effect. So, when you subtract both of these what you get would correspond to the major contribution from resonance. So, this if you notice for a reaction where you do not have much contribution of resonance similar to the benzoic acid case this term would reduce to 0 if minimal resonance contribution. So, then essentially the Yukawa Suno equation will boil down to the Hammett equation. So, this again is completely logical where you say that if the resonance contribution is minimal essentially Yukawa Suno equation is your Hammett equation. But if there is a significant resonance contribution the resonance R value would be high and then the second term would have a considerable value. People have also used equation. So, this is the Taft and Topsom equation where it has broken down the Hammett equation to all 4 effects where you have the field effect. So, this is for the field effect this is for the inductive effect this is for polarizing. So, this is for and this is for resonance. So, when you do the experiment essentially to get one of these plots what you determine on the y axis which is log of kx over kh let us say we are taking a new reaction whatever you plot on the y axis is experimentally determined. So, you would do the reaction for a substrate with substituent x and then you will do another reaction where you do not have the substituent and you would take the log of kx over kh. So, this is experimentally determined for all these other values you can get this from a book or from the literature. So, once you get the y axis what you can do is you can fit the line that you get versus sigma into various equations shown here and figure out which gives the best fit. And based on that you can tell say if it fits better to a sigma plus scale you can say that the reaction involves direct resonance interaction with the aromatic ring. But in principle although there are many of these other complicated equations for all practical purposes what is used most is the sigma, sigma plus and sigma minus scales. So, you need not worry about all these other scales. Now, something very interesting is observed what is observed is that in some reactions you do not have a linear relationship throughout the reaction as in you do not have a linear relationship across all substituents. So, one example is this particular reaction you might find it familiar. So, you have formation of semi-carbazone. So, you are interacting the aldehyde with the NH2 here to form the product what is seen is depending on the nature of X. So, if you have electron releasing groups the rho value is found to be 3.5 whereas if you have electron withdrawing groups the rho value is found to be minus 0.25. So, why is this? This is actually very interesting. So, to understand this the first thing that you would need to do is you would need to write the mechanism for this reaction. So, we will take this as homework for you where you first write the mechanism for this reaction and try to rationalize as to why is it that you have different rho values for electron releasing groups and electron withdrawing groups. So, we will meet in the next class where we will discuss this reaction and also other examples where you see a deviation from linear free energy relationships. Thank you.


As-salamu alaikum, I am Dua Maghzumi and I'm here to show you how the Holy Quran can improve your life Eid Eid is a very important aspect of a Muslim's life because it marks the start of the month of Shawwal Which begins with the feast to end the period of fasting People start their the early day praying up Salat al-Fajr followed by a hearty breakfast before heading to the mosque to pray Salat al-Eid What is Salat al-Eid? Salat al-Eid is mandatory During the presence of Imam al-Mahdi may Allah hasten his noble reappearance and it is must to be performed in Jama'a However, during the Occultation of the Imam peace and blessings be upon him it is mustahab to pray Salat al-Eid so it's not wajib however How do we determine when is Eid? According to Ayatollah Sayed Sadik Husayn Yashirazi's Jurisprudence The beginning of the month of Eid is not established by the prediction of astronomers However, if one could be confident of the Observations, then it would be mandatory to act upon it However, this is acceptable to other than a month of Ramadan and Shawwal in those two cases The in those two months It is mandatory that in the beginning of the month you are established to be proven by site giving the site The hadith says fast with the site with the moon and break it with site name If the crescent was confirmed in one country, it does not apply to another country unless Unless those two countries are close to each other or they horizontal is the same So it is mandatory to fast on the day if you do not know whether it's Eid or not It's mandatory to fast on the day until Mughrib if you know that it was Eid before Mughrib Then it's mandatory to break her fast We are blessed to have a great scholar who is responsible to refer to us and who is more Understandable than us when is Eid and when is the first day of Shawwal to celebrate our Eid Eid Mubarak to you all was Salamu Alaikum


Rhonda's in the house. I have a question. My question, I know you've mentioned about getting married. I'm scared to get married. I want to, I'm scared to get married. There's a backstory to it, but I don't know how to overcome that. So, okay, so what we're defining is, you just, you said you're scared to get married, but let me ask you, what does your heart want? I want to get married, but I'm afraid because I've been through two marriages, divorce. Okay, are you really scared of marriage or what are you scared of? It's not the marriage you're scared of. So what are you scared of? I'm afraid it'll fail. Okay. Why is it gonna fail? I know you say something about a broken picker. I'm trying to do better.