Good afternoon, Cloud and AI fans, and welcome back to Las Vegas, Nevada. We are here for our last segment at Google Cloud Next. My name is Savannah Peterson, joined by my familiar faces and friends, and apparently my ability articulates kind of waning here at the end of day three. We've got Dustin, Rebecca, and John. Such a lovely week with the three of you. My gosh. This is our wrap-up. Yeah. Yes. End of the show right now, after this segment. I know. We get to relax. Kind of burnt out. I don't know why we're only in Las Vegas. I'm super hydrated all the time. It's fabulous. We had 35 segments this week. We had over the course of the three days, we had 42 different guests. So many compelling insights. A lot of stories on SiliconANGLE posted, shipped, ton of content, a lot of flowing content. And a lot of great conversations just in the booths and the hallway at lunch. It was really, it's a lot of energy at the show. Can we get the AI to summarize all of that, John? Yeah. Like a one-pager, maybe. I don't have the chip implant yet, so I can't speak it, but I know Gemini's all over it. Yeah, I'd hope so. Google's listening. I'm curious. So we'll go through a bunch of highlights, but I'm curious what your favorite announcements were. Dustin, I'm going to start with you. Well, I mean, the generative AI for code and developers just continues progressing. It's not a big surprise, but the steps that we're taking toward high-level articulation of what you want some code to do for you and code being generated from that, it's incredible. And there's a lot of players out there working on that. I mean, Google's just incredible when it comes to that technology. They are, and it's a huge, I mean, you and I talk a lot about the developer experience and some big leaps and bounds made this week, I think. Rebecca, what about you? I always gravitate toward the announcements that are really for the non-tech people. So this is really about how normal people do their day-to-day, and so I'm most intrigued by the announcements that have to do with our personal productivity. So the Gemini, I'm just going to say. I mean, this is what I think will have the most impact on people's day-to-day experience of their jobs. John, what about you? That's a tough call. There's so many announcements. I think two things. One is what was an analogy. You didn't see the Jensen on stage, the playbook of these big shows where they try to do AI washing. They delivered AI goods, so that just kind of categorically just props to Google on that. I love the Gemini 1.5 Pro with the million token context window. I know it's more and they won't say the number, but I think it's like 10 million. So there's a ton of headroom there. That's going to change what I think is my favorite announcement is the combination of the BigQuery, the developer tools, but this cross modality, the cross modality analysis, is that's going to make things so much better because now you can bring stuff into the cloud like a form that's got an image on it or a video from theCUBE that's got text, audio and video or take a CUBE interview and maybe run it through Google Vid to make a TikTok video. So I think we're going to see like massively new use cases. So this multimodal foundation model, so I think we'll change the app game and that's going to add it to the coding thing Dustin said. So the modality, cross modality analysis is going to open up productivity gains for stuff that's like takes a lot of prep and big data, you'll line up the data. So that was my favorite, it's kind of geeky, but I think that's going to have a lot of impact and enable agents, better coding, just cooler stuff for like an average person.  Well, I'm a bit with you, Rebecca, where I like to think about, we talk a lot about 2024 being the year that we make AI real and when I think of real, I think of my mom as a user, for example. And I love my mom, shout out always to mom. But I think of when is it going to actually touch her life and when is it going to make her life easier or more efficient or more fun or help her creativity or whatever that might be. And so I think a lot of the workspace announcements are really interesting. I love that you brought up Google Vids. I mean, I think the fact that we're seeing AI tools for creators coming out of a space that's about collaboration from Google is really interesting. It's- And one of the things you have said that I found very astute, Savannah, is that Google is such a familiar platform to everyone. A lot of y'all have Gmail accounts. Everyone's Google something. Very familiar with Google as a verb. Yeah, it's a verb, exactly. And so it's an intuitive way to interact with. And so if they're introducing AI to the masses, it is something that we all can kind of get behind. Oh yeah, absolutely. Actually, one thing I'd like to point out, Dustin brought up earlier about the naming. They change names on things. They don't call certain things they had before, like in the Kubernetes area, they call it cross cloud, cross environment. So you start to see Google starting to think like it's about the solution outcome, not so much the product. So that's cool too, because the AI is being driven from boards now. So it's like we heard on theCUBE, the big highlight for me was hearing, which was new to me, I knew the boards were pressure was high, but like all the actions coming from the board and management, get AI because the business growth, companies realize that the future value of their business will be impacted by GNI and they don't know to do. So get on it. Yeah, I can totally see how much Google is listening to its customers and prospects, watching what the competitors are doing. But I totally can see the Google roadmap, the cloud roadmap here really being driven by the boardroom all the way down to the developer and everything in between. So many of the products that we've seen launch are real solving real needs and those are solutions at its core. I think that's a really good point that you just made, Dustin. So I'm curious, so I was a Gmail beta tester, 19 years ago, back in the day, yes. So I want to know what your first Gmail email address was. Oh, it's the same Gmail email address I have. Yeah, but do you remember you used to have to get advice? You had to get an invitation, right? No, I remember, I was one of the people. Who did you get your invitation from? How about that? So I was a yearbook editor in chief and it was one of my, it was the co-editor of the publication, but we were chosen because we were creators to be testers from Google so that we got a little bit of an allocation. So then I had, I think I ended up getting some. How many Gmail addresses do you have? John, that's a number I don't reveal on camera. A personal question. But I definitely have more than one and they are used for multiple purposes. Can you share your first? Yes, so my first email, I don't know why I didn't think to use my name. Like, most people would have, I didn't. This was kind of back in the AIM days when you had your screen name, you know, your AIM name. So I was jumping goose. Because I was a triple jumper and my mom always called me goose. Yeah, so Bobby was talking about track earlier, I was thinking about that. That's pretty cool. Yeah, so I was jumping goose. Sure, whoever has that email now, hopefully they're enjoying it. I think goose, if you're out there, I'd love to buy that from you right now. That's for personal vanity. And I'll sell it back to Savannah. Hotmail. I had an AT&T.worldnet email address. I had Hotmail. Yeah, Prodigy. I had the Prodigy. I didn't have a Prodigy. I didn't have a Prodigy. AOL, of course. Yeah. AOL, I went with a- What was your screen name, John? JF781 was my, but I did Google's emails before I got the name. Then I realized there's other furries. I'm going to get the family name. That was early adopter, so everyone, Twitter. Let's take this back to AI and say like, you remember how groundbreaking it was to get an email address, right? And that was like, are you on the line? I shared my first email with my mom.  Did you have an MSN? I got an email. Did you have an MSN? Because it was expensive, so you just shared one. Yeah. Which is crazy to think about now. Yeah. I mean, I was just bringing this to the AI point, which is like, at some point, email just became taken for granted. Everybody had one. It's the way we did everything. And I don't know, it feels like we're right at that crossover point where AI just becomes part of our every expectation of every piece of software that we have, just like everything is going to have an email address or every business is going to have a website or an email address, right? And ChatGBT will seem so quaint and antiquated. Remember how we were all on? Yeah, it's going to be the AOL. We could pretend to be Shakespeare. I mean, it was just... Well, we're so old, we used to write emails. Yeah. I know, right? We didn't just prompt them. We didn't just prompt them. It brought up an interesting point. I think, I love, someone smarter than me once said something to me when I started working in 3D printing. And when we got the internet and we got computers, we did what we've always done. We wrote letters. We just called it email. So I'm curious to see with this new tool with AI, with AI everywhere, okay, great. So we have this thing and it's like the internet. What's the real power going to be? And so I'm curious if, and I don't worry, I have not forgotten, we have not talked about your first Gmail Reckon and we're coming back to that. That's right, logged in my brain. But I'm curious if you, what you think are going to be, or if anything you heard this week made you think, bigger picture, what some of these solutions are. Not just the tech behind the solutions, but some of the most powerful solutions that are going to come out of this. I got a lot of talking to the life science guys. I mean, I'll start. I thought the, having the arm guy on with Martin Lohmeyer from the CPU. Oh, they wouldn't reveal the nanometer size. It's probably seven or maybe five, not three. It was three. They'd be bragging, it was three. The arm is very good for like edge devices. So to me, I think when you start thinking about data personalization, we talked with all the time, Dustin. The user experiences that are not, that are voice interacted or automatic to users or invisible as we talked about earlier. I think you said that Savannah is key. That's going to be, I think, where the dots connect with AI when things become so abstracted away and they just happen. So if you're in your daily life, the edge devices will pick it up and that your personal LLM will be there, right? I think we're going to have our own kind of foundation model and we'll have our own agents talking on our behalf. And we don't want to do QB to everyone. We just say go agent, holograms. I don't like to think of them being more charming than us. So I feel like, you know. They're there though. We did an interview with the McKinsey consultant and he was describing a study that patients said that their AI doctors, they knew it was an AI doctor so they knew they weren't talking to a human but that they preferred the AI doctor because the AI seemed to empathize with them more and seemed to listen to them more. And I think most importantly, which is where I'm going with this, I see the power in medicine because as if you've ever had any kind of medical issue, you know you have to go see the specialist and then you have to talk to consult with that specialist and you really need everyone's brains working to create a diagnosis and then a treatment plan but that's what AI can do. They can be the specialist over here and that general practitioner and also so. I interviewed this radiation in the cloud. They're doing stuff now on a large scale where they can detect stuff at the point of scanning.   They got it so good now where the AI assist can help the operator be the doctor on the help and then shoot angles to get better pictures at the point of, okay and then now that's all done in the cloud and you have the collective scans of everyone else working. So that's like happening now. I just interviewed someone here at the show on that and that's a game changer. Because the alternative was the old way.  These two, we're talking to these two, silos. They're connecting the dots. I mean that's where this all starts with big data, machine learning and now we're able to make inferences and better decisions about it. So I'm going to bury all the other ideas that I would have talked about and say like, Rebecca, wow, the humanity, the improvements to humanity we can make applying AI to medicine, the sky's the limit, right? Yeah, and it's going to affect all of us. That's what's, yeah. And it's really going to improve quality of life.  It's not democratized until it's helping everyone at every income level in every country and in different parts of this planet. One of the things I thought was really interesting when I was preparing to speak at CES and talk about AI and healthcare, specifically I'm so glad you brought it up, was an actually pop quiz for you guys. When telemedicine came out, what demographic do you think used it the most? Young people, millennials or whatever the youngest age was, you know? Okay. That'd be my guess. What are your guesses? I'm going to go with old people because they're the ones who are the sickest. Fair guess. No adoption at all, no one wanted to use it. Okay. That's like, price is right. I got to go with $1, you know. Low income. The lowest income among us are the highest adopters of telemedicine. So when we think about the ability to bring things like medicine to more remote areas or to different places like you're talking about and to be able to engage people who are completely forgotten in a traditional system, we can achieve so many great things for the planet. So it's very cool. I am excited. I love the prices right, John. This is like, I'm like, yeah. Okay, so Rebecca, what was your first Gmail? It's my same Gmail now. It's the same Gmail, yeah. Okay, so none of you wanted to be incognito. So I've always had multiple personalities and alter egos and like. I'm going to have other emails. Maybe the system. That's called proton mail. Yeah. Yeah. Super fair. Was there anything that either of you expected to see this week that we didn't? I thought it would be more, I know they did on this day too, and I think they're holding back because I don't think they want to release it too much because it may seem over hype, but I truly predicted and I still stand by it.  The idea of these ages emerging that are going to augment the human in the loop. There's going to be a big part of that next gen. It's a chat bot today. We start getting multimodal ingestion and reasoning. The prompt answer side of AI, everyone knows, but this whole reasoning and reinforced learning piece will be huge. And I think when agents start getting that real knowledge and reliability, that'll be a game changer. I thought we'd hear more about that, but we didn't hear as much of that thought. I thought this was really interesting. Dustin, I'm curious to hear what you think. Coming from Paris at KubeCon, where we actually didn't talk about AI as much as I expected us to. Really? No, I did not feel, the conversations we had on the desk, not nowhere near the level of what I was expecting. And versus here, I don't think we got two minutes into an interview without it coming up. I mean, this is kind of the gen AI party right now, the gen AI, gen AI party, which is pretty cool. So I would say that that fit where I expected, the thing that surprised me, was the level of collaboration happening between these huge, massive companies and the desire for interoperability and the awareness that in order to achieve these big dreams that everyone has with AI, a lot of the huge players in the room here are going to have to work together. Can I raise my hand again? You sure can, John.  All right, so I think this couple, the question's a tough one because we're at the Kube. I think as a show, they did check the box. Think about the order of magnitude they had to deal with. Workspace cloud, which they call the collaboration cloud, security cloud, data cloud, developer cloud, modern infrastructure was included, Google distributed compute cloud, cross cloud network, workload optimization infrastructure and Vertex AI. All that stuff was on the docket and they did talk about it. So there was still so much stuff buried in there. So it's a tougher question because they kind of talked about it, but and you heard different groups, the whole developer side, that didn't get much play. Gemini code, it's a big deal, but it didn't get buried, it just was so much. So it's a tough question because we were only here. On the Kube, we didn't hear a lot about some like more of the technical stuff we had, although we had CPU on, but they did, they did check a lot of boxes on the show. And there are a lot of really interesting sessions. Sessions on sustainability, sessions on women, they had a whole inclusion lounge here. Shelf floor was public sector. I would say that was a total, another big surprise for me was just frankly, how many people, I mean, this is double the size of Google cloud next last time. Which is really saying something and I truly feeling like the before times in here, there's just a lot of energy. It helps us here. They got everything's lined up. And again, when you start having that AWS effect, I call that like the fire hose, you're starting to see it, that's the signal to me. And again, the big surprise to me is the continued success of the ecosystem. I knew it was going to be big, but not as big this year. They all had bigger booths. They all had parties. There was biz dev activity going on. So there's action happening here at Google cloud. Yeah, there's definitely a lot of action happening. We're in Las Vegas and we talked a lot about food in Paris. What kind of fun did you get into this week, Dustin? I had a dynamite steak last night and I don't need a lot of steak. Did you go to Salt Lake's place? No, but that sounds awesome too. Yeah. There's a lot of good steaks in Vegas. Well, you were back, any memorable? Yeah, I said it this morning. I went to come for, no, Carson kitchen in Freon, which was divine. Highly recommend. What would you eat? We had chicken skins. We had this bacon and jam on a warmed baguette. We had a beet salad. We had double eggs. Oh, yeah, you could have a little bit of healthy. I love that balance. Good for you. Yeah, exactly. We're so virtuous. Yes. John, did you leave the convention center or did you just get complex carbohydrates provided? The finger food at all the events was tons of activity. So I did a lot of events. Didn't watch any, I did hit the noodle place. They had great lo mein. I thought that was phenomenal. And the rice was phenomenal. So good dishes there. And then had strip steak last night with the team and some other analysts. That was a good steak and that was pretty much it. The rest was all grab food here. The steak and whatever. Cookies and whatever else is available. All right, last question for y'all and I'm going to wrap us with a question that I wrap every one of our guests with. What do you, what can't you say today that you hope to be able to say the next time we're at Google Cloud, next? Dustin, I'm going to go to you for a minute. I'm going to go to the security angle. It's, it's what I, Yeah, I would love to be able to say that all the AIs and models are secured that we really have a tight bound on security. I don't think we can say that yet. No. I think there's a lot of work to do. There's a lot of conversations I had this week around how we do that, what needs to be solved. But we're not there yet. So hopefully we can put security in our rear view mirror for AI. But I don't think so. Yeah. All right, so security over here. Rebecca, what about you? I'm going to go with, with my take on things, which is the individuals, your mom. I want to, I want her to feel that AI is helping her do her job such that she has more time for you, more time to be creative and just a better overall quality of life because AI is reducing her toil. Yes. So that's what I want. Love that. My mom will love that too. For me, two things. One is from a personal side with SiliconANG on the cube. You know, when I can't say that right now, we would move all of our code off Amazon into Google because we have probably a good use case for Google Cloud, I'd argue. After this show, it's on the table. Wow. I would say that we'll evaluate but we'll check all the requirements. So I can't say that right now, but it's on the table, so it's a discussion. Next year maybe, we'll see. So maybe that's the set that won. From a reporter standpoint, from a research analyst perspective, the Asian builder component of ModelGarden, I hope to say next year that that will be more robust with better use cases, better usability and programmability for customers. So that's, we could have a bit more agents. I think that's a disruptive because that'll tear down old technology that was built pre-GNAI. So I think that'll bring in the new era of GNAI technology that will change the app market. So I think that agents, I hope to say next time that'll be better. Cool. Well, I can't wait to see. We have a new breed of entrepreneur or business model that comes out of this. I hope we have more customer stories that are actually at scale with data they can share publicly that show the benefits and the impact beyond the hype. I want it to be, to actually be real. We're in the year of making it real and then I want the reality next year. She'll be great. John, Rebecca. You guys have been amazing. I got to just say. No, this has been really fun. You guys have been amazing. What about the production team, huh? Who? Oh. She's getting there. Oh yeah. Don't steal it. Don't steal it from them. No. Yeah. Yes, my thunder is actually just as nice as about other people. Let's go. But I mean, this truly was. The three of us, I really had just a blast. Rob as well did an absolutely outstanding job. We had such a massive team. Shout out to everyone behind the camera because they are even more beautiful than us. We've got Andrew, Anderson, Noah, Jay, and Dawn. You guys really held it down all week. Thank you for listening to our voices and making us look good and making the guests feel comfortable most importantly. And thank all of you for tuning in wherever you might be on this beautiful planet Earth. We're here in Las Vegas, Nevada, signing off for the last time at Google Cloud Next. My name's Savannah Peterson. You're watching theCUBE, the leading source for enterprise tech news.


Hello, safe to goers, and welcome back. Alright, so how do you know it's a disorder and not a trait? Who wouldn't be a bit awkward when walking into a room full of strangers? Shiness is a trait. It's the initial awkwardness that precedes forced small talk. The mere dislike of the spotlight, but it's not distressing. Social anxiety, on the other hand, is the pervasive, intense fear of being judged, humiliated, rejected, or embarrassed in a social setting that leads to anxiety or avoidance. Although shyness and social anxiety share similar physical symptomatology, there are traits that differentiate them. Please remember this video is meant to be informative and should not be used as a rubric for self-diagnosis. If you have any personal questions or concerns regarding this topic, please consult a licensed professional. With that said, here are 7 signs that you're not just shy. Number one, avoiding or escaping very public settings. When you find yourself in new surroundings, do you open up after a while or stick to a familiar group of people? Or maybe a bathroom nearby, or leaving early seems like a better sanctuary. Although a shy person may feel uncomfortable at the party, more they don't know anyone. Someone with social anxiety will avoid public settings altogether. This symptom can devolve into agoraphobia. Public situations such as dining out at a restaurant, dating, or returning an item to a store can be harrowing for someone with an anxiety disorder, or if there are opportunities for rejection or embarrassment. If avoidance is not possible, those who have social anxiety may try to escape the whole situation by using extreme avoidance and escapist tactics or safety behaviors. The problem with safety behaviors is that they provide the illusion of surviving the event. Number two, feeling very self-conscious in front of others. Do public settings make you feel uncomfortable? Does it feel as though people are watching and judging you? You might not even have everyone's attention, yet you still have an inexplicable fear that at some point, something will happen and everyone will start judging you. To someone who doesn't suffer from social anxiety, this might sound illogical. But that's the thing. Social anxieties sometimes don't have logic. They can arise at the most random moment and make you suddenly feel as though the spotlight has fallen on you. Some physical symptoms involve sweating, heart palpitations, and panic attacks. Number three, fear of physical symptoms that may cause you embarrassment. Can you feel a certain set of physical symptoms kicking in as soon as you step out?  One way social anxiety can pass as dryness is through physical cues. Both have physiological similarities, such as blushing, sweating, rigid posture, and trembling. However, for someone with social anxiety, their bodily response can make them anxious. These physical symptoms add to the workload of stepping out into society. You constantly worry about how others might judge you for displaying these outward symptoms.  Number four, fear that others will notice that you look anxious. Are you quick to avert your eyes after a quick greeting? Are you more comfortable looking around while interacting with others? While shyness can be the initial driving force, it wears off with time, to the point that you become comfortable holding steady eye contact. On the contrary, social anxiety does not wear away after the first few moments of interacting. As you feel its presence all the while, you are reluctant to engage in open interaction. Because your social anxiety is a tangible experience for you, you fear that it's also noticeable for those around you, thus producing more anxiety. Number five, having anxiety in anticipation of a feared activity or event. Is the mirror your trusty audience months before a public event? Before a big event, like a presentation, it's normal to feel a bit anxious. If its shyness holding you back, it can diminish over a while. However, if you experience social anxiety, you might think for months about all the things that could go wrong. In some cases, these thoughts can accumulate in your mind and lead you to avoid the event or situation. This behavior can be particularly damaging if it's school or work related. Having an honest support system can help alleviate the worst of the jitters. Number six, a past negative social experience. Is there a rigid memory of things going awry in a social setting? When you first experience a setback at a social event, it tends to take root in you in the form of dread. However, if it was just shyness, the next time you encounter such a setting and come out unscathed, some of that dread chips away. But when you're socially anxious, no amount of chipping away is sufficient.  You lose interest in even working on basic social skills. Although the definitive cause for social anxiety is unknown, researchers believe that underdeveloped social skills can lead to social anxiety. Being teased or bullied for being socially awkward can lead you to fear further social interactions and exacerbate social anxiety. And number seven, spending time after a social situation analyzing your performance and identifying flaws in your interactions. Do you mull over conversations way into the night? Are you constantly thinking up how you should have responded long after the topic is over? Sometimes we revisit past moments to learn from them and become better. But obsessing over a past detail usually ends with insecurities creeping out from the corners of your mind to make you feel inferior. However, for someone with social anxiety, obsessing over a small detail does not feel like a choice. Social anxiety is about seeing yourself through the lens of someone else, hence you might be prone to dwelling and analyzing past interactions, especially conversations. The trigger is in the part of the conversation that you keep replaying. Only when you figure out a better response can you let it go. Letting go is a difficult step and it might take some time to learn. Everyone experiences anxiety to varying degrees, hence professional advice tailored to meet individual needs is essential to ensure positive results.  By seeking appropriate support and help, you can soon view the outside world as your conquered battlefield. Have you ever had the two mixed? What has helped you cope with social anxiety? Feel free to leave a comment down below with your thoughts, experiences or suggestions. If you found this video helpful, be sure to hit the like button and share it with those out there, pondering the two. Don't forget to subscribe to Psych2Go and hit the notification bell for more new videos. Thanks for watching.


You're all here because you deserve to be so it's time for your generation to step up Remember that do not interfere Jackson Briggs.  I'll take it under advisement Not some of my rust off We took your party's arms. We will take all of you That was for you dad. Well, we're being overprotective It's good to be back


Rwy'n cael ei wneud am ysgrifennu'r sefydliadau cyffredinol o'r ffordd cyffredinol cyffredinol. Rwy'n cael ei ffordd cyffredinol o'r ffordd cyffredinol o'r ffordd cyffredinol o'r ffordd cyffredinol cyffredinol. Rwy'n cael ei fod yn ei. Gweithio. Felly, rydym yn eu bodgylcheddau hanfodol, mae'n eu bodgylcheddau hanfodol o'r ffordd cyffredinol a'r ffordd cyffredinol o'r ffordd cyffredinol o'r ffordd cyffredinol. Rym ni'n fneddio y ffordd cyffredinol am gyd-ffordd cyffredinol o'r ffordd cyffredinol ond fawr i'r ymgyrch yn gymgyrch gyda'u llwyddiadau ar y gyfnodol a'r gwybod ar gyfer llwyddiadau ar gyfer llwyddiadau gan gweithio ei ddim yn ei ddifuig ar gyfer y dyfodol i gweithio'r cyfnodol yma, i'r cyfnodol yma o'r progexau mae'r FBC. Felly, rwy'n rhoi i'r ddigon i ddim yn y cesenni. Mae ymddug i'r cyfnodol i'r cyfnodol ar y ddweud y cyfnodol yn ganosbrydol Liang the foundations for democratic and accountable governance Or deepening the degree of democratic and accountable governance and secondly the extent to which a donor funded programme like making or voices count actually incentivises and rewards the kind of careful, critical, evaluations approach that lots of us might be committed to I want to just make the caveat before we go into detail that this isn't in any way an intention to abortion any blame oedd ydych chi'n gwneud amser rydyn ni oedd y dylai ddweud o'r programau o'r ddod o'r ddod. Roedd y cyfnodd gyda'r ysgol gan gweithio y pryd-grifennu ymddangos o ddod o'r programu yn ychydig o'r cyfrifennu sy'n ei wneud o'r ymdyn nhw cwmwyllt, o'r hyffordd o'r cyfrifennu cyfnodd yn ymgyrchol cyfnodd. Mae ydw i'r cyfrifennu, oherwydd o'n cyfrifennu cyfrifennu cyfrifennu cyfrifennu cyfrifennu, a'r cyfnodd gyda sy'n ceisio i gyd yn ei ddechrau'r cyffredinol sy'n argymell. Mae'r cyfnodd ar y cyfnodd gyffredinol sy'n cyffredinol yn y cyfnodd gyda'r gyffredinol yn y Uc. Mae'n ddifud o'r ffordd a'r ddodd yn ddodd yn ei ddodd. Mae'n rhai'r cyfnodd yn ddodd yn y ddodd. Yn y ddysgu, rwy'n gwybod i'n dod i'w ysgrifennu cyffredinol arall, ac i f Suzanne yn medd isto pedag iawn y ffael iawn fwy lle llawiennol summoned ar y cyfnodol iddiadod wych. Fy ridei gwydoedd a hoff solidarol aRoedd digwydd yn Pacsen y adnoddau也可以ll nesaf ar hyn sy'n mededud yn falch peaceful ac tref continuing ac os yn ddefnyddiannol ac mae'r cyflwyfydol yn ymddangos gweinwyr iawn, eu cyflwyfyddiant, y cyflwyfyddiant, ymdwyllfa rhifciolau ac mae'r ffynol agennaethogau o'r fydd yn yma yna'r obeyd y gallu cerddau cyflwyffordd yn ymddangos ar y cerddau cyflwyffordd o ran y cyflwyffordd gwaith oedden nhw wedi'i cyflwyffordd â'r cerddau cyflwyffordd o'r cyflwyffordd ac mae'r cyflwyffordd o'r cyflwyffordd o'r cyflwyffordd. Lleidwch i'r ffordd a llwfawr i'r ddigon yn ysgrifennu i'r tîm gwrs yma, a bwyd yn iawn i'ch gweithwch eich cyfnod o'r ffwrdd a'r rhan o'r ffordd a'r rhan o'r ffordd i'r ffordd a'r ffordd o'r ffordd i'r ffordd i'r rhan o'r ffordd i'r ffordd o'r ffordd. Felly, nad yna ddim eich gweithio cyffredinol, yma'n 7 o 8 o blwyddyn, I worked with a colleague on a review of the impact and effectiveness of transparency and accountability initiatives and at that stage hardly any of the initiatives that we reviewed were tech-based initiatives and we talked about impact and effectiveness as separate but connected and we defined effectiveness as whether initiatives were implemented as planned and we defined impact as being about what they achieve pointing out that transparency and accountability initiatives often seek quite varied objectives in themselves right through from developmental kind of material benefits of development type objectives through to democratic objectives through to citizen empowerment type objectives and the reason we found it useful to distinguish these was that they're different but connected and in a sensible theory of change you would have both you would have the inputs that are meant to have an effect of a certain kind and then you would have a series of assumptions holding those together in a theory of change which if they all hold good mean that the things which are going on as inputs and outputs which are effective all add up to the outcome and the impact. Tech approaches might well be effective within tech's own terms and within their own parameters or they might not be I'm sure we can all think of tech initiatives that haven't been but when you look at them from a civic tech perspective what I want to argue is the question that's relevant is not that it's not about whether they are effective within their own parameters the relevant question is whether they had any impact on the underlying governance problems that might have given rise to the service delivery deficit or to the lack of opportunity for citizen voices to shape policy or to the unclosed feedback loops that might need remedying by technological fixes so it is important to know whether the tech was effective and that might be part of the impact story but it's not the answer to the impact question. As we argued in 2010 in that piece of work I was talking about in relation to transparency and accountability impacts in general the best approach to understanding governance impact is to use a theory of change type approach a theory based approach to evaluation that identifies and examines all of the assumptions that are supposed assumed to link inputs and outputs and outcomes and impact and the hierarchies in a governance programme or a governance project that the interrelationships between those can be quite complex and the assumptions can be quite buried and a theory based approach to evaluation which has been around for a long time but on which there's there's been a lot of publication and work in the governance sector over the last decade or so is in my mind the best way to do it. So that's the theory out there but then let's talk about making all voices count and in synthesizing all of the lessons from the making all voices count programme into that publication up there about appropriating technology we found it useful to differentiate between sort of clusters of messages that relate to different clusters of things that we funded and things that we saw from the things that we funded. On the one hand tech solutions to discrete service delivery problems the programme funded a lot of those perhaps especially early on um with innovation grants and there's a hope there's a block of three messages in the in that synthesis report that refer to you know how technologies can play decisive roles if the problem is a lack of data or planning information common design flaws that tech for transparency or tech for accountability initiatives often fall into um and how obviously transparency and information and openness are not sufficient in themselves to generate accountability then there's a second block of messages which are about attempts to apply technologies to some of the broader more systemic type governance challenges again a number of projects funded by MAVC were of this type and here there's some messages which for me who had come at this programme from quite a skeptical perspective were were were new and were interesting and were refreshing so recognition that technologies really can support social mobilization they really can support collective action by connecting up citizens they can open up and hold open new spaces for engagement that might not have existed before between government actors state actors and citizens and they can help to empower citizens and to strengthen their agency for for engaging with actors more powerful than themselves and then there was a third block of lessons which are more about the much more transformative and difficult and long term project of building democratic and accountable governance really laying those foundations where we had to say we found that technologies in themselves actually currently contribute very little then it's not to say they're not there of course they're there because technologies are here in all of our everyday lives and in the everyday lives of of governance advocates and activists in in countries all over the world but that the actual contribution of the technologies to that governance impact was pretty much limited not to say it will always be like that there's potential for further developments that that might mean that that changes but that's what we had to say at the moment so um we um I think we we need to conclude from the body of MAVC evidence overall that solving those discrete information problems in service delivery using technologies might achieve the aims of the tech initiative but that the aims of a tech initiative if they are at all realistic and many of the proposals that were put to us in MAVC stated quite unrealistic objectives to start with but if they are at all realistic they tend to stop a long way short of laying the foundations of democratic accountable governance systems which might be fine you need things to happen at all levels but there was there's been a very strong tendency in the field as we all know for over claiming in terms of the objectives of of tech projects but the problem that I think we all really need to focus on is it's much easier and much quicker to assess the effectiveness of tech solutions so those tech effects and to capture those in quantifiable indicators in the short term then it is to assess the governance impact of initiatives that might use technologies along with other approaches as part of a much more complex strategy to make much more complex changes happen in governance systems and sometimes what gets monitored or evaluated is the easier thing to monitor or evaluate rather than the most relevant thing so I'm going to hand over to Duncan to give some illustrations from making all voices count of how these tensions played out. Sorry this was my one about the foundation sorry. Okay brilliant thanks Rosie um so I just wanted to start at the original theory of change behind the program okay so going back to 2012 four donors sat in a room developed quite a complex theory of change that guided the development of the program this theory of change contained assumptions about governance which were well grounded in the kind of cutting edge of governance literature that existed at that time but there were also many assumptions in there that were more around the potential of technologies to play roles in governance so at that time there was a lot less evidence on that aspect of the theory of change and actually if you look at it that some of these were more kind of wishful thinking rather than you know evidence-based assumptions. So part of Rosie and myself's role as leading the research evidence learning component had to include testing some of these tech assumptions that were built into that theory of change and that was to kind of seek kind of more information more knowledge to help refine the program as it went along to test those assumptions and if that you know in terms of program design that sounds great okay. What I'm going to talk about is where the kind of ambitious learning focus program design hits the reality of a number of pressures which constrain the ability to refine and adapt in light of what's being learned. So first off the evidence-free assumptions about tech in the original program were not in reality open to serious contestation. Contesting them would have challenged actually some of the core functions and setup of the program. And that wasn't something that was really open to question. So they were things that were you know the consortium partners were particularly wedded to or particular donors were wedded to particular approaches and actually having a more contested conversation about what those things looked like and the best approaches to use that wasn't really on the table at a number of points. So at the start of the program in the interest of quickly issuing an open call and starting to disperse grants we were told actively not to work with innovation and scaling grantees to develop project level theories of change. While doing so would have been costly and slowed up would have slowed up the granting process it was also a missed opportunity to really appraise and help the development of more realistic proposals and also identify much more appropriate ways of measuring the kind of outcomes and impacts of those initiatives. We also experienced a number of tensions around log frame indicators. We all mentioned log frames, our eyes roll but actually at some points they can actually be a useful program management tool. These indicators were drawn from the program's theory of change but didn't really differentiate between the diversity of the kinds of work grantees were doing. So throughout there were tensions over your comparing apples with oranges. You know there were particular indicators around reach engagement which weren't necessarily the projects we funded didn't necessarily speak to those those higher level aggregate indicators. So for example if you were trying to reach huge numbers of people reach figures it's really important quite useful measure but if actually what was going to make the difference was quite you know very careful political intermediation you know what is it that you're measuring now that's useful. So this led to a number of problems and I'm just in the interest of time going to skip over some of those. Okay now let's get into it. Yeah so some of us took the position that actually it was really important to measure the things that mattered. Okay so maximising reach engagement weren't necessarily the most important things. Okay so our position didn't actually hold that much sway when there were particular political drivers that meant having those top level figures although meaningless in a lot of cases were needed to make the political case particular at donor level. Another kind of issue around indicators and reporting was around being able to produce gender disaggregated data. We're all very keen to be able to demonstrate that our work results in greater gender equity but actually a lot of the theories of change behind some of the projects supported relied on the perceived privacy and anonymity that the technology offer options offered them in reporting problems. So not having to go in in front of perhaps the person you need to complain about to you know go and put something in a suggestion box you know there's quite a critical part of whether people might engage with that technology or not. So in some cases we were we were under a lot of pressure to produce that gender disaggregated data which was counter to the theory of change of the particular project. Halfway through the program there was an opportunity to revise some of those log frame indicators. We all agreed that actually some of these things were particularly useful as an indicator of what different projects were achieving or not. Recognising the problem that the problem of the kind of apples and oranges issue said okay perhaps these aren't the right things to be monitoring. But again there was a problem whereby some of our donors needed to have a time series across the entire entire program where you've got consistent indicators for the four and a half years so you could see the pattern over time and it wasn't politically acceptable to not have that. And then finally I just wanted to talk about distortions and the program contained multiple incentives to distort or fudge or grossly simplify or dumb down on all the way up and down the A chain from individual grantees proposing what they were going to do and framing it according to perhaps an oversimplistic framing that the program led with. Or actually you know reporting on what did they say they did versus what did they actually do. Yeah I've got one minute left. Or consortium members in terms of filling out log frame indicators or reporting up or down through to donor representatives themselves having to have conversations with you know the very top level of ministries. So I think we'd all agree that learning is a really important thing in terms of improving our practice but we need to recognise the quality of evidence on which learning is based. Just throwing it out there as a question how many in the room would be happy to educate your kids based on facts derived from the content of grant reports? Moll over that question. Three very quick takeaways from this. The first one Civic Tech clearly fulfills that central principle of development theory that was famously summed up by Andrew Natsios who I think just finished being the administrator of USAID which he was for four years in the early 2000s. That those development programmes which are most precisely measured are the least transformational and that those which are the most transformational are the least measurable. Secondly the organisational culture and drivers of donor funded innovation programmes are very often in multiple tensions with painstaking evaluative approaches that are needed to assess impact in governance work. Some donors do find these tensions easier to resolve and navigate than others but the tensions are definitely there.  There's a whole literature there's a whole body of experience on how to assess impact in governance work it's just located in different fields from most civic tech work it's located in the governance field and in the development evaluation literature but in MAVC given how the highest prioritised log frame indicators were going to tell us very little about the extent and mechanisms of governance impact we did later on in the programme to start using some of these methods probably too late for it to be maximally useful but there are lots and lots of approaches to doing it and I think you know this is a call for the civic tech community to start turning to those methods and start to use them to evaluate their impact better. Ultimately the field needs to take some steps to avoid letting the least transformative work be the best measured. Okay thank you very much both of Rosie and Duncan very interesting talk.


Careful with the lid, please. Oh! Oh, okay. DeSana on you! Ah!  This is wet now. Stephanie. Great, my elbow's gonna be wet the entire reaction. And hi, we'll come back to another watch along with Stephanie and Corbin, watch a movie. It's our little theme song. We have a jingle? Yeah, we have a jingle now. Created by me.  Wow, that's high praise.  It's kind of crazy. Anyways, welcome back. Today we're gonna do another watch along and today it's gonna be a Tamil film, I believe Steph's second Tamil film, not ever. She's seen many Tamil films, but second watch along Tamil film. But in here, in this chair. The first one, you remember the first one? Do I remember the name? Do you remember what it was? What the film was? Wasn't it that one? Which one? With the village and the guy? You didn't do a watch along with that? A watch along, no, no, I don't know. Which one was it? The time travel. Oh, okay. That was the last Tamil one. That was a good one. That was a good one. But this is her first Danish watch along. I think she's actually only ever seen one other Danish film which I believe is Karnan. Karnan? She watched it. And that's the village one. I believe so, yes. I think that's the only Danish films you've ever seen, but this will be her second one. Highly requested film called, anyone try that? Mmm, not even a little bit. Valayayala Patara Fathari, or affectionately known as VIP. Okay. I'm guessing because it has a V and an I and a P. Don't know. But I know people call it VIP. And I think there's also a VIP too. But it's directed by Vel Raj, written by Vel Raj, produced by Dhanush, composed by Ani. Some music's gonna be slapping, starring Dhanush and Sarana Ponvana. Nailed all those pronunciations. So this obviously is gonna be a watch along. And if you're watching on YouTube, thank you so much for watching. But it's gonna be heavily cut up because of copyright reasons. Can only use about five minutes of picture-in-picture on YouTube. So if you'd like to see the full uncut version, you can have it a Patreon. I'll put a link in the description below and pinned comment so you can go check that out. And let's just get into this, huh? Yes. I don't think he's better looking than you. I don't think he's better looking than you. Yeah, he's most definitely not better looking than you. No. I don't think he's better looking than you. He's on the right side. He's clearly not better looking than you. He's got a good look. He's got a good look.  You've got a new wife in your neighborhood. She's a go-go, a doctor, and she looks like a good girl. She's a good girl. She's like a movie actress. She's got a new wife in your neighborhood. She's got a new wife in your neighborhood? I was in my home, but you're not in your home. You're in your home, but you're not in your home. This is a very common thing happening in my house. I've been singing this song to make this dumbass fall for me. Okay.  I gave him a laptop. He's always got a Facebook group with no jobs, and he's got a VIP group with 60,000 members. You're using a laptop in the mail. Take your laptop. What's your name? Raghu Varan. Where do you work? I'm looking for a ball. You're looking for a ball? What kind of family does she have? I don't even like this character. Her father earns 1 lakh a month. She has 2 lakhs a month. I don't care about the girls who don't earn. If she's going to earn a lakh, she'll have to grow up. I'm not a decent guy. I'm not a decent guy. I'm just a decent guy. Raghu, did you do this?  Why don't you get a job? I'm not a smart guy. I have a friend's birthday party. They told me to bring everyone. How can I prepare it? I'll buy your brother a ticket. If you buy my brother a ball, I'll go to Varun's house. I won't get 10 paisa from them. I'll get Rs. 200 for Rs. 2,000. That's all. Adjust yourself. I can't let your father get a ticket. Come here. At least Rs. 1,000. I don't want a ticket. What's wrong with him? Come here. Do you want a round? No. You... Go. I'll... Yes. I have a lot of work to do. Okay. There's no way somebody thinks that. Boy, there's more track than the news. Keep this in mind. It'll be useful for us. Okay? He's a VIP member in Facebook. He doesn't do any of his studies. One is in the call centre. The other is in the father's shop. The other is in the college. He's a professor.  Be careful. What's up? Sir, we must have walked without money. Is that so? Take the mobile. Put the phone up. If you had given me this first, I'd have wasted my time. I think somebody had to do that for us when we were in India. When we were in India, we had to give him the importance of money. The cost of money... When we were playing cricket... Oh, yeah. I got shoot away. I don't know if that's what happened, but I was just assuming. What a good song. Ooh. Oh my God. I'm coming to your house. He just left your car. He just left your car? Correct. And he just left his car. It's definitely going to get stolen. Hello. Hello, who's speaking? Hello. Did you come to my house? Hmm. Then, go to the next house. Third balance moves. Very slow walk. What? There's a girl in this house. No. Her name is Shalini. She looks like a movie actress. So sweet. 98404. 40403. Mummy. She fell over there. She fell over there. Hey! Why are you buying my daughter? Mummy. Mummy, no mummy. Thanks, mummy. What happened to your bike? What happened to your bike? She just left the next house and left. She just left the next house and left. She just left the next house and left. Yes.  Where's my car? Huh? Where did you fall and go? Look there. Why are you talking like that? Who just left the house? Don't do comedy. That's where you're going. Go and get it.  Don't just go to my house. Don't respect me. Go and tell my mother the truth. No, what will you do? I'll go to the police. Go, I'll go too. Why will you go? You saw the telescope in my bedroom yesterday, right? No, who said that? You were the one who said that yesterday. Bye, Shalini. Bye, Karthik. Go and play chess with her. Toss. Dails. Is the paper, gas and milk all set? Yes, it's all set. The guy next to me helped me. Did you get a friend for that? What's that guy doing? His name is Raghuvaran. He's quiet after his injury. It's a lot of work for an IT company. But I studied at a building. I'm the only one who works there. Is Vairagi here? Good playing games with my... Hello. I'm sorry too. Why? To see the telescope in your house. And not to see it. It's okay if it doesn't look like a movie. It looks like a serial. Hey, look here. How many interviews are there, brother? I think... They've been sitting in the company of their father... and playing in our engineering life without any experience. If they had the money, they would've passed the time... and died with us. What's this, dude? How did you give the property? What do you want me to do? They've got 14 acres of property. The property was cut off from the legs and legs. They cut the current first. Then they cut the water. Drainage, milk, cable... If you were to design a plan for 9th floor, would you have designed 6th floor? Sir, there's only 6th floor for the FSI. I know all that, Mr. Raghuvaran. That 30, 40 lakhs, 50 lakhs, extra 3rd floor, right? You may go, Mr. Raghuvaran. Sir, the plan... Yeah, we'll take that, please. You can go wherever you want. But go after the end of next month. Why? Will I get a job beyond that? I don't know all that. Next month is my birthday. Okay. Then go. This time, for my birthday, I should definitely give myself an apple. Will anyone wait till the end of the birthday? My house will be ruined. I'll give it to you in the evening.  The apple I told you about is an iPhone. Hey, Karthik. They're expensive. No, they're not. They're way expensive. I'll put that on the pan. If you sit in a room and work, every person has their own kidney. Go. But if a person has a kidney problem, it's a risk. Adding? If you do the night shift, won't you adjust? Will you give this to TL? Hey, don't you have a neck?   I'm begging you. I'm begging you. I'm begging you. I'm begging you. You scared me. If anyone asks me, I'll say, it's too much. Hey, it's too much. Dad, there's no one in the house. Hey, wait. Wait. Wait. I'll give you 30 seconds. To beat me up, I had to beg my mom and tell her to run away. Or... What will you do?  Go away.  You should tell him. Who am I?  I thought he was the one. Blood is coming out. How can you do this? I'll ask you for a hand.  From now on, no one has ever beaten you up. So, no one should beat you up? Yes. The cost of the car centre is 50,000 rupees. We can do a search. We've waited for so long. We can't do anything in a few days. No problem. No problem. Your salary and account have been credited. I'll resign my job. Why? I'll buy an iPhone. What did I ask you? I'm not an MC in correspondence. I'm going to buy 40,000 rupees for my dad to pay the fees. I'm going to buy a shirt. I'm a rich man. I don't know where I went. I took money from him. Please no. No. It's not important who earns first. It's important who earns at the right time. Do you get it? Happy birthday. What's this? Hold it. I'll see you when I leave. Bye. No, you asked me to stay. If you wait, I'll let you go. You gave me 10,000 rupees. You gave me 50,000 rupees and 40,000 rupees. Can you say sorry? Why do you have to cry? I can't even look at my dad. Do I hold a cigarette now? He's your brother. He has to pay the fees for MCI. He earns 1,000,000 rupees a month. If he thinks so, he might have taken it. He's rich. But he's asking me for my permission. You made him study in St. John's. You made him study in Ramakrishna's. Look at the interview. How hard it is to speak English in 4 words. If you don't work, how will you get it? Talk carefully. It'll turn out differently. What if it turns out differently? What if it turns out differently? You're going to tell me not to leave my house.  And that would be our part 1 reaction to VIP with my elbow is wet. And if you saw us on YouTube, you saw a very cut version. If you'd like to see a full one cut version, you can get it to Patreon. I'll put the link down below in the comment. So you can go check that out. And Audubon too!


Hello, everyone, and Happy National Public Service Week. Canada's public servants play an important role in making this country a better place, and this week we get to say thank you. This year has been one of the most challenging in living memory, and you've been right there, working hard to help us all get through these difficult times. Day in and day out, you show up to deliver the essential services we rely on and help tackle the challenges we're facing as a country. So thank you. Thank you for your dedication. Your professionalism, your creativity, and above all, your hard work. Since the beginning of the COVID-19 pandemic, you've quickly mobilized to deliver emergency assistance, supported enhanced testing and research activities, and made sure that our borders are secure. You worked hard to bring Canadians abroad back home, and thanks to you, millions of Canadians have received the help and benefits they need to get through this difficult time and support their families. But beyond the COVID-19 crisis, you were also there for Canadians when our country was tested by the many difficult events of 2020. You were there during the historic snowstorm in Newfoundland and Labrador, and you were there to help the families and loved ones of the victims of Ukraine International Airlines Flight PS 752. Through it all, you've kept the well-being and safety of Canadians at the heart of your work. So once again, thank you for everything you've done and for everything you will do in the weeks and months ahead. I look forward to continuing to work with you as we restart our economy and build a better country for the benefit of all Canadians.


Hey there, Chad Bond, you're here for High University Libraries. If you're looking to open a company in a particular location, you'll want to benchmark your potential company or maybe your current company against other companies in that particular industry. We're going to look at a database called BizMiner that allows you to compare and benchmark your company's financial earnings or potential financial earnings against other companies' financials in that region on an industry average scale. It's a good way to kind of determine, you know, how much money you might make for your for your potential business plan and that sort of thing. We're also going to look at things like startup rate and vitality of the industry and cessation rates, things like companies who fail in that particular market. So a good way to kind of determine, you know, what your what your outcome might be for opening a business in that particular location. We're going to use a database called BizMiner to determine that data. So here you go. So for this example, we're going to go to BizMiner. We're going to pretend I want to open up a shoe shop or a shoe store somewhere, maybe in like Boulder, Colorado or someplace like that. You know, Boulder might be a cool place to live, so I'm going to open my shoe shop there. So I want to figure out, I've got a few things before I commit to moving my shop there. We're going to go under industry search. You're welcome to go in here and type in shoes, but actually find out, find this industry search feature right here just to browse by industry code. It's a little bit easier way to look at that. So if we're going to sell shoes, well, that's going to fall underneath retail trade. And then shoes are part of clothing. So we're going to go to clothing and clothing accessory stores. You may have seen apparel in other places. They're calling it clothing here. And here we have shoe, shoe stores. And if we want a particular kind of shoe store, we could do orthopedic shoes, boot stores, that sort of thing. Now we'll caution you. You notice we have 30,000, two and four and twenty nine establishments here. As we get more granular in the types of shoes we're selling, we're getting fewer establishments and therefore our data may not be as good as if we had more establishments to look at there. So I'm going to click on the larger shoe store industry there to click show industry reports. This is going to give us a few options here. One, we can get industry financial profiles, which will allow us to benchmark our potential earnings or current earnings against other companies in that industry by location. So we're going to look at that. We're also going to look at the competitive market analyzer and the local industry market report as well to kind of get a feel of the local market. So the first thing we'll look at, we're going to look at a five year report and let's just do. Let's do Colorado here and let's just do the Boulder, Longmont, Colorado area. And it's going to ask us to calculate based upon local financial report options. So it's going to ask us to select a sales class here. OK, so I want to choose the nine firms here in that area and do access now because I'm I'm pretty sure I'm going to make, you know, probably less than half a million dollars for my shoe shop in Boulder. I'm selling some pretty swanky shoes there. So we're going to go and here's my report. I'm going to click on HTML here and you can do a PDF if you want to as well. This is going to give us industry financial averages and profiles and ratios and that sort of thing based upon the nine companies in that area. OK, so these are averages based upon the actual companies in that region, in that particular area. So this is how you can kind of benchmark your company financials or look at projected financials for your non-existent company or to be created company. So a good way to do that. If we go back to our reports here and go back to our back page, we can also look at this competitive market analyzer, which if we just select a local market here, once again, we can go and select a metro market. And I'm going to do let's do Colorado again. And so there's Boulder, Longmont, Colorado. This is the larger metro market. So it's not that not just a city there and we'll do next. And we're going to do the looks like there's comparing our we're going to compare ourselves against like size firms nationwide. So about 2,000 firms are in this lesson, half a million dollar total sales. I'm going to do next there. And I'm just going to choose small businesses. You can do industry wide if you want to do that as well. We'll do next here. And once again, we'll do access now. And it's already my car because I've done this before I record the video. That's OK. So here we have our competitive market analyzer here. Click on the HTML here will take us to that report. So this report doesn't give you the same financial information there, but it kind of tells you what the local market is like. First, you get a general business consumer environment. You know, talk about what the local economy is like and that sort of thing. And if we scroll down here, we have the income bracket breakdown in the area. We see there is quite a bit of wealthier people there in that location. If we scroll down here, here we see things like how much does the local industry capturing sales per personal income earning unit and then what? How does that compare to the national level? So here we see that there's a pretty good demand there for for shoes in Boulder, Colorado, Longmont, Colorado area there. So a good way to kind of get projections and an understanding of the market size in that particular location based upon the companies who are already in existence there and the number of sales that are there. Finally, the last report we look at here is the industry market report for the local market area. And it's a good place to kind of look at startup trends, vitality of the industry, things like that. So we're going to go and basically select the same local market there. Go find Colorado again. And here's Boulder, Colorado. All right, access now here. And once again, we'll just do the HTML here. You can also do the CSV to get the Excel data for the for the report as well. It's going to load a local market report for our particular industry in that area. So there's all kinds of cool data on this report, things as far as like cessation rates, you know, how often firms are going to fail in that particular market for that particular industry. I want to scroll down and show you one particular area that's pretty neat down here at the very bottom. And this is the industry startup trends and activity here. So we see that there was one startup firm during the report, the coverage area of the report, the time that this report came out, which occupied point four nine percent of the total market share of that particular area. So pretty good to look at, particularly when you're talking about projecting how much your company might make in that particular location. So that's their startup sales, you know, sales now, not profits for that, for that particular region. So so those are three reports you can look at in understanding how to use BizMiner to understand your local market and also do industry financial projections. Hope this video helped you understand how to use BizMiner for to analyze your your potential company on a local level. Should you need more help? Look for the contact link on the business blog. We got to help anyway. Can take care and best luck with your research.


I am here because of my father-in-law, his name is Ramprasad Waghle, a very active man. He works as a businessman, so five years back he had a pain in his upper neck. He was diagnosed as a case of paragonal enema. We came to know about Dr. Sampath because we've been searching for a skull-based surgeon and we found out about him from our relatives, so they referred to him and then we came here. Ramprasad Waghle, who came to me with the diagnosis of a massive tumor in the skull base, in the neck, in the infertum for fossa, in the peatrous parts of the skull base, also going intracranial into the cerebellum-pontan angle. It was a very big tumor because it had been there for several years and we were worried because it was in a very risky place in his upper neck, near the brainstem and it was giving much trouble because there were pain and he also had neuropathic pain in his arm as well and we were worried. So this patient came to me about a fortnight back. The procedure was explained, the pathology was described in detail. The patient agreed to take up surgery at Manipal Hospital and we did this surgery week back. The patient underwent a complex skull-based procedure called an infertum for fossa approach which involved opening up the neck, the temporal parts of the skull base and also the intracranial parts of the skull base. So the facial nerve had to be re-rooted anteriorly before the tumor was to be attacked and he in fact planned two stage surgery for the same patient. The first one was completed this time and we were planning for a second stage surgery after about six months. So in this stage, the surgery involved removing the whole tumor from the neck, the upper and the mid-servical regions, the infertum for fossa, the temporal bone and the petroclival areas. The intracranial part of the tumor was left behind for the second stage. This patient underwent a 16 hour procedure and the entire skull base was exposed. The tumor was removed upon expected lines. It was a difficult surgery which involved removing the tumor which was very close to several cranial nerves and not to mention the carotid artery and the vertebral artery. It was an ICU for a couple of days but recovered very well and is now fit for discharge. I consider this to be a landmark case in skull base surgery because it was a tumor that went all over the place in the skull base. We've done several cases in Manipal. Our goal is to establish a department of skull base surgery which involves a comprehensive multi-disciplinary team dealing with skull base tumors. He's responding quite well. He's been nine days of surgery. He's walking well. He's recovering well. He's being treated very well here and Dr. Sampath takes care of my father-in-law very well. The Bangalore is a nice place. People treat us very nicely and in Manipal as well the nurses are good and even the caretakers we call them Anna. They are also very good, helpful and they take care of my father-in-law very well. I'm hopeful that he'll be back to normal back to his old days after second surgery. The journey so far with the Manipal has been very satisfactory. We're happy from it.


What's up welcome back to the channel now in today's video some of you guys might think this is a Funny year type of video But I'm going to be dead serious With a lot of this stuff that I talk about here and the title is broke trainers versus $10,000 per month trainers and this is something I have seen across the board with With coaches and trainers who start a business or they've been in business for a while and They need a lot of help with their business and they maybe they just don't make certain changes All right, and here's the deal Everyone when they start to fit when every coach trainer when I started business they are broke with their business All right. So broke is is okay.  But here's my list here. I have My little notepad here, so I'm gonna read off this as I go through it. So number one thing that I see that Broke trainers do versus 10k month trainers is when broke trainers on social media This is what they do they pull out their phone. They go like this they go they use their thumb and they look at their phone for about five hours per day watching what other people do and then during those same five hours that they were Going like this. All right the 10k a month trainer. They are not doing that They are publishing To social media. They are not consuming All right. Now. Does that mean you shouldn't be a consumer on social media in my opinion? Yeah, that means you shouldn't be a consumer on social media. I Unless you're wanting to learn Right, there's difference between watching my videos and watching like short clips of Beyonce Right if you're learning from me that will help you if I am a huge distraction for life Well, that's not going to help you. That's why my channel is for coach that want to learn and grow their business period Right, so you should use social media to learn But you should be using I'd say 90% of what you do on social media should be so you can publish You are a publisher. You are not a consumer and What I see a lot of broke trainers do if I log into their iPhone and I pulled up the report on how much time it's been on Instagram per day I promise you it's over two hours per day and then when I pull up Facebook, it's at least an hour a day So three hours out of their day right there Wasting three times seven that's 21 hours.  This is what successful coaches do They are great at using social media as a tool not as a distraction All right huge difference there and ultimately my favorite part about it is you get to decide how you use it I use my social media very specific way Works for me. All right, it can work for anyone if they stop consuming all the bull crap that is distracting, right Also, I don't know if you know this the people who started like Instagram stuff like that. They're very very good at Understanding your psychology. What's gonna get you to tap? what's gonna get you to stay on the platform along us, right and You again, you should not be someone who's distracted you or should be someone who was publishing All right, when you publish that puts you at the front of the market and when you do that consistently That shows that you are the authority All right, pretty simple how that works. You either use it to drive your business or you use it to get distracted and go look at Beyonce right Next one here Man, this is something I wish I knew when I started my business and once I figured this out my business changed for the better Which is broke trainers don't follow schedule Successful trainers do right if you've watched my channel in the past that you know, I have a whiteboard here It's to the side of the screen When I get in the office Right, I don't turn around and say hey cowboy. What do I need to do today? right He's never said a word to me in his life. Okay, that's why I like him. He didn't talk back to me Right, but on my whiteboard I write out What the heck I'm doing tomorrow hour by hour That has happened for years now before that happened I would just wake up and try to find things to do I go try to make this website. I'm gonna go try to sell this apparel. I'm gonna Occasionally market myself that doesn't work. So you need to be disciplined With how you spend your time during the day and what are you actually doing? Is it listed out? Right the most successful coach. I'm helping right now All right, this this will show you the level of detail. I'm talking about Right when he wakes up tomorrow All right, and I know this because this is something I've helped him with when he wakes up tomorrow He knows what he's doing for the next 30 days Right and all of that is our by our 30 days scripted do this do this do this stop doing this Don't do this anymore. All right. That is way different Then waking up and floating around the day All right, you can't just wake up and float around when you do that your time is when you get swallowed up by other people right and the other thing that broke trainers do is When their buddy texts them or call calls them they're like hey, what's up, dude? And they'll talk for 45 minutes about nothing right successful coaches don't do that and the easiest example I could give you right easiest example is Is We like to model success. All right. Who's the most successful person on the pen right now? I believe it's Jeff Bezos. It's either him or one of those people in Saudi Arabia who has like trillions of dollars Right, but let's take Jeff Bezos Right. I often think of this and it's such a weird thought but I often think if Bezos was sitting around at his office just going like this On Instagram How is that gonna help his company? He didn't get to where he is today by scrolling around on Instagram Right. He didn't get there by by taking phone calls and catching up with his buddies right and You can see there. All right phone call. I just came in click All right, I Don't take unscheduled calls All right successful coaches Only operate by taking scheduled calls big difference Right, so I hope that helps you you can't you cannot operate a business if you're distracted all day over the phone Right, you're not going to be able to do that You can't do it at a high level because your time can be swallowed up Right, and I know broke trainers. They spend way too much time being distracted They don't have a set schedule. All right next one here. Okay Marketing broke trainers don't know how to market what they do or they're too afraid All right, they're afraid. They don't know what to do Or they try it and then they realize oh well that didn't work So marketing is not going to work for me. I will tell you from experience. I Was the dumbest dude on the planet when it came down to marketing when I first started my business All right, and I will tell you now if I quit this YouTube channel if I got rid of all my businesses Hey, I feel very confident someone can hire me and A quarter million dollars a year to help them with the market feel very confident. That's because I have busted my chops I have learned it. I have tried it. I Study it. I get better at it. I constantly practice Hey, you're on my email newsletter. You know what I'm talking about right, you know what I'm talking about and successful coaches what they do is They are consistent with the market They learn from their mistakes They keep going and they know they want to be the top dog with what they do because They are going to be more consistent than everyone else and I'll tell you my strength in business is consistency I show up and do the crap when no one else wants to do it right when other people when I want to Stay up late and eat pizza and watch Friday night tights, right? I love that show by the way, but when they want to do that, okay I'm asleep getting ready for the next day. So my marketing message goes up Right big difference. You get to choose how you live your life All right Successful coaches are consistent across the board. All right next one here See if I can remind you. All right, it is sales All right pretty simple Successful coaches are good at selling and They know if they swing the bat 10 times. They know what their conversion rate is All right. Successful coaches record their calls Successful coaches have a script Successful coaches know how to ask the right questions at the right time and lead the prospect from start to finish Which finish line is them joining the program? right broke trainers This is what they do.  No, they're gonna spit out their food Right or they got music in the background or their kids are screaming in the background Right can't do that. It's not a sales call Right sales call is organized Sales call comes from you where you are the one who is determining with the prospect Here's one our call is I'm calling you and you are in a quiet undisturbed area Right sales calls when you have a notepad out, right and you're taking notes And we understand what's going on All right sales call is very organized and a sales call has started point any point and I would say the most successful coach I've ever helped and I look at myself when I talk about this, too If I didn't improve on sales, I would not be creating all this YouTube content Right, we wouldn't if I wasn't good at cells We would not have 91 coaches in our mastermind right now That and those coaches are helping thousands of kids or what? Right thousands Right, so I had to learn it All right, and that's something most people are so afraid of they think oh, I have to be so salesy That's just not my character. I'm too shy. Trust me when I say this. I'm a pretty shy dude right we went out to go to a bar or a party or Restaurant it doesn't matter where we're at right. I'm normally the person that's in the corner of the room I don't like a bunch of attention. I don't need to be this salesy guy I don't need to be this marketer who's super salesy. That's not me. It's not my nature either But that doesn't mean I can't learn how to sell Right and that comes down to self-limiting beliefs And if you don't know what something we start go watch the video we have just search my channel self-limiting beliefs You'll see the video I recently posted right and you don't have to be the salesy person You need to know how to communicate All right big difference, right? Now that stems into the next one, which is communication All right broke trainers do not communicate properly with their clients broke trainers do not set standards With their clients broke trainers don't have any standards. They just show up get paid cash and check. They're like, all right sweet I got 50 bucks now.  That's not I run a business. Okay, but they're not communicating with their clients how they want things done Right successful coaches have systems. They have processes They streamline things is why like I said on my master my very particular wife for coaches to take something that works very Very well and implement it so they can sleep better at night They have better relationships with their clients the communication is through the roof so much easier between coaches and their clients right But that's the thing successful coaches have that ironed out broke coaches do not have that ironed out and They struggle with communication and that's because they are afraid to lead and yes I'm talking to you if you're watching this video. You're afraid to lead You're afraid to give action steps to people right Can't be afraid need to do it you step up and the last one here I Talked about this at nauseam on my channel. So don't click out yet, right? It's the commitment of clients broke trainers have zero commitment from our clients successful coaches and trainers have Six months year two years five years commitment From clients. So there's a big difference. You're not running the hamster wheel of Finding new clients all the time your you should be running the hamster wheel of closing new clients Closing new client today. Oh close a new client tomorrow. That should be the hands-free way to run it Right, you should not be running the hamster wheel Oh, I need to find someone new Because that person is out of my program now or that person decided that's payment this month can't run your business that way It is not a business right and I'm gonna say this I don't care if you're making 20 G's a month getting cash and checks. It's not a business unless you're getting paid online All right, I saw someone who is making $80,000 Right talked to him over the phone right after corona hit $80,000 a month His business is at zero right now The old dinosaur didn't change didn't change his methods. He might be watching this video right now.  It's like me going into Apple And saying hey, I want to buy the the MacBook Pro and they're like, okay cool Just take it pay us back later. I see a lot of coaches and trainers operate their business that way. They're like, yeah Take this session Pay me back later. We'll figure it out All right, that's not a business All right, very clear cut that is not a business. So you need to work with committed clients Right to get to 10,000 or more per month. You have to have clients who are way more committed They have more skin in the game. They're more serious about your program They want to be a part of your program for a long period of time because of the results that you get for them Right So I hope that helps You can be a broke trainer or you can be a successful trainer All right, both All right, this crazy thing both have nothing to do with how good of a coach you are Both have everything to do with how you decide to run your business and if you're sick and tired of struggling with your business and you want to break through the 10,000 or 20,000 or 30,000 or 40,000 per month level Right reach out to me. We already have case studies Of a lot of coaches who are doing that. They're doing those types of numbers Um, like this is not an overnight thing. It's not not a gimmick. It's got to work freaking hard If you're going to work with me got to take the action steps Got to follow the proven method of becoming successful with how we laid out If you do that, right, you'll you'll get there Right, it doesn't happen overnight But if you are one of those coaches and you're sick and tired of where you're at right now, reach out to me My number is<PHONE_NUMBER> If you followed what I said about at the beginning if you just try to call me, I'm not going to pick up It's not a scheduled call Right, so text me first. We'll schedule a call And we'll talk we'll see if we're a good fit to help out and I will tell you There's such a clear difference between rope trainers and 10k amount trainers. It's It's like two completely different people Right and the great part about what I'm talking about is you can transition from a rope trainer and being as successful as you want A lot of it's going to come down to your habits how you operate how you think of yourself And how you want to run your business and and the change that you need to make. All right, that's it for today's video I'll I'll be seeing you soon


Yeah, it was a Zoom session and so they were live, yeah. So when we went to them, they were live and everybody, all the families waved. So it was really cool. And the players, I think, you know, I think it hit home for all of us for sure. The purpose of the call was to really highlight that it's not only are we as a team connected, all our families are part of this as well. And more than ever before, we are all making sacrifices together, right? And so everybody on that scoreboard is part of this group right now. And we're gonna ask them to make sacrifices as well. And then for the players, it was just a great visual and for them to understand that, you know, this is why the sacrifices kind of with our modified behavior around each other and modified behavior away from the field is so important. It's critical that we maintain it. And I just thought it was a way to reinforce that point and also a way for the families to understand that they're a huge part of helping us get through this as well.


Long Trump Day! Long Trump Day! Hundreds gathered at the Boston Common on Friday for a peaceful, bipartisan demonstration following the election of President-elect Donald Trump. I feel like my identity is being dragged through the mud by this candidate, the President-elect. And I can't be represented by a president who doesn't seem to believe this. Trans rights are human rights! So I'm here, and I'm trying to make a difference. Demonstrators sought to do away with division and replace it instead with love. For those upset, camaraderie. For those pleased, respect. For those in fear, one man offered his body as a canvas.  To change the minds of people, a nation united will never be divided. And that's what we're about. We're one, and we need to be one, especially right now. It doesn't stop here! Organizers of the gathering did come from both sides of the aisle, but with Clinton supporters making up a majority of the crowd, the environment was more cathartic for one side than politically productive for both. Everybody's here for unification, but objecting to the democratically elected president is not unifying. It's the spread of disunity. Boston University mass communications professor John Carroll says it's more than disunity. It's hypocrisy. They have every right to protest, and I think they have good reason to protest in a lot of cases. But the way they're doing it is really adopting a tactic that they thought was wrong for Donald Trump to take, but they're adopting it for themselves. The rest of it is all fine, it's all legitimate, it's all the American way. For BUTV 10, I'm Christina Gallardo.