Hello everyone. All of you can hear me. Okay. Great. Thank you. Thank you for coming to my talk. It is going to be lighting the black hole of internet using AI and as you might have guessed till now or I can tell you I can I can suspend the confusion that it is about videos. So videos are considered today as a black hole of internet and why they are considered to be black hole. We will be discussing that and also how to mitigate that black hole. We will be discussing that too. So videos today is majority of internet traffic is actually videos and it is growing. So it is predicted that 80% of internet traffic is going to be videos by 2022. It is still majority. It is more than 50%. If you take and all of you have seen embedded videos on website on your company website on your personal website on your tutorial websites, you will always embed videos like this. Right. Now what happens is when so this person, this image is from AWS webinars when search engine come and scanning. So this is Google's tool to see what actually they are scanning and if you see here, there are at least 20 videos which are embedded on this page. But what Google is able to look on the right side is nothing. They just see it's a web page, probably some text which is around it. But nearly 20 hours of content which is embedded on a page and Google or any other search engine is not able to take a look because it's a multimedia content and typically they don't process that multimedia content unless there is a need and literally there is no need here. That's what they think about. Right. But from your side, there's a 20 hours of content which should be indexed for you to move higher in the SEO ranking. So that's one problem. What people usually do to mitigate this problem is that they put the tags themselves saying that, hey, Google, there's a video here and these are the tags. But this is a very ineffective way of doing the things. The second thing is that all of you probably come from enterprises, some come from colleges, students. Right. And we typically see different kind of videos in our day to day life.  As a user, when was the last time that you watched a one hour video without any break continuously or even full one hour video from start to last? You never do. So all the informational content which is apart from movies and sports have a very low engagement rate and as well as very low completion rate also. So typically all these MOOC videos, all these training videos, all these old hands recording meeting recordings only get it was a fraction of time. And how do you watch that you randomly click at different point of time and try to see, oh, does this video have something interesting for me? And it's just a matter of chance whether you find it or not. It's really a random guess. So definitely we can do it better. Right. And that's what we I'm going to demonstrate to you how we can do it better. So we I will be first giving you a very, very quick overview of our technology. And then I will be going deeper into one just to understand because it's a data science conference. I will be going deeper into one module of how we do it. But first there is an overview and then there's a deeper dive. So first what we do is we generate AI generated video indices. So we just for any given video, we generate three indices, table of content, phrase cloud, and there is an in video surf. That's like a control F on the video. Now, how do we do that? So table of content is the topic switching. So you take a, let's say Andrew NG is one hour video, you pass it through our pipeline. And what you will get is wherever there's a topic switch and for how much duration that topic has been discussed, and this table of content will be overlaid on your video itself. So next time when you land up on a video, you can quickly check, am I interested in these topics? And then you can watch that two minutes of that you're spending randomly clicking, you can spend those two minutes on the portion of the content that you're most interested in. The second thing that we do is a phrase cloud, which actually subrises key concepts in a video. And they are domain ranked. So given a video, we automatically figure out what domain this video is all about. Is this bioinformatics? Is this machine learning? Is this some medical health? Is this education? What kind of video it is? And based on that, all the keywords will be or all the phrases will be automatically ranked according to the relevance. And again, you can click on one on any one of them and directly move to the point where the phrase has been mentioned. If there are multiple occurrences, you will see more multiple yellow markers there. Third thing is in video search, which is basically you will find in some platforms already where there's a transcript, which is basically in our case, we make all table of content phrase cloud and transcript searchable for you. So you can search for a given topic and you will find the occurrences. Once you have a video repository, so let's say your organization is producing, let's say, a thousand videos. In Oracle's case, for instance, they have produced like 50,000 videos over time. All of these videos can be made deep searchable. Right now, all YouTube or any other video search engine is doing is that they are only indexing metadata, which includes the title and description and the tags if user provides. What happens in this case is because each video is having these three extra attributes, table of content, phrase cloud and transcript, which actually describes video way more than a title or description could describe the video. So you can jump deeper. So for instance, you can search for a neural network and even if neural network was discussed somewhere like on 20th minute of a video, you will still find it. And that could happen in thousands of videos. And I'll be showing you something, some use cases that are down the line. And the last thing is that you can track it very deeply. You can track the deep engagement. So once you have these topics overlaid, that typically what happens is that you start watching the video, so you will high jump there. And then typically it's a reverse exponential curve. But what happens is when you have these indices, table of content or a phrase cloud, is that you will see these intermediate jumps also because people are going directly that you don't see in a video which does not have a table of content. If you have a YouTube channel, you can open it right now and see it just reverse exponential curve for every video. Apart from all these deep analytics, we also collect a few more, which is not here right now, but this is what we do. So this is a brief overview of video can technology. Behind all of this, we have a deep video indexing pipeline where we do all sort of things. We do visual processing. We do ASR, automated speech processing. We do speaker dirigation that Vikram talked about. And then we also determine the domains and all those things. But in this particular case, I'm going to only look at, let's say, very simple problem, a little bit deterministic problem of given a visually rich video, given a video, let's say, given a machine learning video of having some slides and a code walkthrough and a demo, how do you create a index for that? So let's take that as a problem. So I'm going to just, only these modules I am going to discuss. So this is what the input video comes, and then there's a table of content is generated for that slide-based video. So let's look at the different modules. Let's look at the flow. So what are the different challenges?  Looks very simple, right? But there are inherent challenges. I mean, the way our product work is that you throw any YouTube video and it should generate a table of content. And we have seen different kind of challenges in doing that. For instance, slides get built up using animations. I mean, there are slides that get built up, and then you will have all the frames spread out for one slide, essentially. Then you have different camera angles. Imagine being an Apple. Have you seen Apple Keynote or Oracle Keynote? And you will see that angles directly jump. Sometimes slide is this much. Sometimes slide is that much. And there is literally no correlation between them. So you need to figure that out. There are different visual content. So you can pick a title from slide, but what if there is a demo where somebody is showing something on the browser, or what if there is a code walkthrough into that? There you can't pick anything. So you need to rely on more auditory features for that. Within these different slide formats, presence of objects, like in this case, this camera is capturing me as well as slides, how do I? There could be occlusion, for instance. But there are different kind of challenges that we have to overcome. So first what we do is we designed a custom visual frame extractor. And the main purpose of this visual frame extractor is given a video, can I detect key frames out of that? And key frames is not the anchor frame, but rather where I get the slide full. So in my case, also the slide might, the first title might appear, and then the second title and third title. The objective of this module is to get the frame where the slide is full, as well as the actual timings of the content. So for instance, in this case, at what time in the video, this particular word or phrase appeared in the video. So we get this. We build a graph, and then we have our own clustering algorithms to detect key frames, which gives very, very key frames. So in a typical 60-minute video, at the minimum, you will have 1,800 frames. Using this algorithm, we try to minimize that, and we arise something between 50 to 100 frames. Then what we do, these are some of the examples, right? We detect, for each word, at what time it is appearing in the video, we try to detect whether it's a text or not, first of all. And then at what time that text is appearing. For instance, a video might start from this, and then there will be different objects coming in, and then you will have a full side after like two minutes. So we are really interested in getting the full frame, and then we induce a timing of those words when they're coming on a slide. The second thing is, in a wider range, like in a product conferences or wherever, there are different objects are getting captured by the camera angle. So how do you localize where is actually the screen? Because if you apply OCR, for instance, on those kind of images, you will pick a lot of irrelevant text. So that's where we have did a slide segmentation module, which is based on fully conventional network model, where we try to detect where there's a screen between a very wide frame. So once you detect the screen, then we need to understand whether it's really a slide or a demo or a code walkthrough. I mean, if you open any tutorial or a informational video on YouTube, you will see combination of those things. So what we do here is that these kind of different frames are categorized using a transfer learn module, where we say whether it's a slide or a handwritten content or a code walkthrough or a demo. All of this becomes very handy indexed information. You can run, for instance, you have a machine learning repository or whatever. You can just say that, OK, give me a linear regression video with a code demo into it. With this kind of information, you could do that. So for a single video, also, you can directly jump to a demo or a code walkthrough directly without going through all the slides or animation or whatever. So all of this becomes a very handy index when you have it. So once all of this processing is done, then we have algorithm to check coherency. We do OCR mistakes correction. A lot of time, OCR makes a lot of errors when it reads from images. So it can interpret images. So we have domain spacing models. So we say, OK, if it's a machine learning video, what is the probability that this word is actually what it is saying? And then you correct based on that. Typically, the slide design remains the same. Like if the title is here, it is going to stay the same. That's an assumption that we can take in some cases. Doesn't hold for all. But there are different heuristics as well as decision-making that we have put in, which basically tries taking all this information from OCR and then tries to build a topic list. So in summary, what we do is, what video can does is it provides a quick summary, outline for the end users. Again, what I've described to you is only for slide-based videos, but there's a similar pipeline for non-slide-based videos where more natural language processing and auditory processing comes into play, like saying, hey, let's move to the next topic. Can I detect that? So here, the discussion was mostly focused on slide-based videos, quick navigation to the desired point of interest, the topic that you can navigate directly. It allows better discoverability by search engine. So there is a protocol called JSON-LD. So whenever you embed a video, what video can does is it lets Google know automatically that there is a video object. And here are the key terms for that video or key indices. So when Google comes scanning to your website, all of these gets feed into your head of the web page. And Google can see it better. And then you have deep search and recommendation built over and above this deep indexing of videos that is helpful. Just for this community, I can mention that some of the top AI conferences this year have been using VideoCan. For instance, NeurIPS have used it for last year. It's going to use it this year also. ICLR, ICML, KDD, some algorithms that we have been using earlier have been proposed in those conferences. So it's a matter of little pride for us. And what you get is for all these conferences, let's say this is ICML page where nearly 400 hours of content is streamed. I mean, every video is around one or two hours long. If you have to search for a paper or search for a topic, let's say you are interested in reinforcement learning, you just search for reinforcement learning. And you will get it, the papers which talks about reinforcement learning. So all these topics on the left side are automatically inferred, because we do deep video indexing. You automatically know what topics have been discussed. Apart from the conferences, of course, we have a lot of corporate customers also which have been using for variety of use cases, right from learning videos to indexing all-hand calls to Zoom calls, all the informational videos that you see around in a company. And you can try it yourself. So why don't you go to videocand.com, pick a favorite YouTube video, and just throw it out. And then you will get an index version of Table of Content and a phrase cloud. And you can embed that. You can see how it works. You can try it out. The way it works is that we don't modify the, it's more of a product positioning is that we don't modify any underlying video behavior. So we work with more than 10 video players, be it YouTube, Vimeo, we work on top of it. So we don't really stream videos, but we really make them more viewable, engaging, and all those. Yeah, thank you. Thank you for your time. So if you can tell something about that architecture behind this, like how it is, you are doing that, how you are calculating accuracy, that weather, that video, whatever you are summarizing that will be correct architecture behind. Yeah, so we do use different deep learning architectures for different modules. So for instance, if I have to talk about visual classifier, which says whether it's a slide or a demo or code walkthrough, for that what we use, it has been trained on ImageNet plus our nearly 100,000 of our domain-specific images. And we have taken the InceptionNet V3 model where we just transfer learn, we have decreased few layers in the last few layers, and then learned that model. So I think there are three to four different places where we use deep learning models, one that I describe, the other where we use is the slide segmentation, which is like an object segmentation kind of problem, where you have to detect whether there's a screen content inside a frame. For that we use FCN, that is also transfer learned, but with some of our domain-specific images. Again, actual parameters and all those things I can, I'm happy to talk to you about after this talk. A few years ago, Cisco had asked us to look at, for example, Webex videos and so forth, where there are multiple people talking. And we were not very successful, to be honest. Maybe we were successful with single speaker kind of videos, but with multiple speakers, one of the problems we had was speaker identification. Is that something you've been able to address? We do speaker derivation, so there is a different module that we do, like for non-slide videos, where multiple people are talking. So speaker derivation doesn't provide really a production level accuracy right now. But it does a great job of two to three speakers. It does a very great job. When there is a lot of speakers and a lot of overlap, then it doesn't do a great job. But if there's a minimum overlap, it does do a great job. For instance, one of the modules that we have is interview kind of videos, where there's no visual content, but two people are talking. And the usual table of content would be the one guy would be asking a question, and the other guy would be replying. So the one guy, the interviewer, is actually kind of monitoring the whole discussion progress. He's nudging the other guy. So they become an important topic for us. We use speaker derivation, but for a multiple, like six, seven speaker, it doesn't do a good progress. I'm sure it'll not work in our parliament, but it'll probably work in regular meetings. So a couple of people have, in case of Webex, actually, Webex or Zoom, because they have access to the microphone also. So sometime that information comes also in handy. So right now, at least they can, like Zoom can, for instance, tell us whether this speaker spoke well. Yeah, yeah, yeah. Yeah, very quick question here. Kuzi Peer. Yeah, hi. I think my thought was an extension of what you were talking about. So I mean, the use case of having videos which are generated out of slides, or which are instruction in nature, that's, I think that's particularly clear from your presentation. But the other use cases, and this could also be instructional videos, where there are a lot of video frames from very real life kind of situations, which may have more natural kind of a conversation, which could be even have noise, right?  So you mean that people are talking and that's the video? OK, so I mean, we can talk offline. I actually have a real use case, commercial use case, where we have these are instructional videos, e-learning kind of stuff, OK? But a lot of grabs there are from real life hospitals and things like that. OK, OK. I mean, I think typically the way we work for these kind of things is that two things come in handy. Given a video, we try to do a speech-to-text, and we do a speech-to-speaker-direction based on a caustic feature on all those things. So if speech-to-text is inherently bad, or speaker direction is bad, then currently our algorithms have limitations on that kind of thing. But if there is some certain scenario where, in some certain cases, we have been able to improve that, like if you fix the speakers and all those things. But I'm happy to talk. And these need not be perfect solutions out of the box. I mean, there could be some level of post-work which can be done. So we have perfected whatever I have shown you, we have perfected for at least a few years now. But I think there are a lot of modules which are like, here and there, 50-50. Because each one of the modules is a very hard problem, like speaker direction in itself, if you don't have a microphone input, that itself an overlapping text. Speech-to-text, if it is bad, let's say very high Indian extent, then if the speech-to-text is bad, no matter what you do after that, the output is also going to be bad. So I mean, but the customer doesn't care, right? Because given the video, they need a good table of content and good indexing, basically. I was almost too much to talk about it. Sure. Sure. Happy to talk on that, yeah? Sure. You can just ask. So my question is about these videos that are mostly restricted to educational or, you know, informative videos or keynotes, so to say. So do you also work in entertainment videos, deep content indexing though? So I mean, part of the pitch is that the engagement is a big issue with these kind of videos. Engagement is usually not an issue with movies. But deep indexing and recommendation is. Like for instance, who was the actor there? Can you already organize? Can you already recognize where there was a maximum engagement, like good dialogue and all those things? And where there was a scene change and things like that. So there are lots of. Part of it, Amazon Prime Video does or even Netflix does right now, today. So they are more focused on those kind of things. Of course. Yeah, but some of the techniques may overlap, but we are not really focused on those. Thank you. Take the question offline, OK. Yeah, I'm here, so happy to talk to you if there is anything.


I think for a lot of people, a conversation about stability feels like it misses the mark. Jose, we've been told by several law enforcement officials that a man was arrested overnight near the home of Supreme Court Justice Brett Kavanaugh. He was armed with a gun, a knife, and pepper spray, and told authorities that he was there to kill the justice. I told you, what did I tell you? Didn't I tell you? Cause I told you!  I made the prediction several times myself because it was obviously going to happen. I mean, just look how comfortably this college socialist threatens bloodshed if the SCOTUS ruling doesn't go the way she wants it to. We are a Marcia Slimness organization. We do believe in class 4. We believe class 4 is the path forward. As we see right now, peaceful protests aren't, you know, getting us much. We can't vote our way out of this. We need a new society. And in order to do that, they're probably real dismal. I'm your huckleberry. But instead of condemning the threatening protest that judges homes, they actually promoted it and ran cover for it. There are real questions and conversations today about protests outside Supreme Court Justice's houses, particularly Justice Kavanaugh. Where do you think that line is? I think for a lot of people, a conversation about civility feels like it misses the mark. So far, all the protests have seemed overwhelmingly nonviolent. There are plenty of protests that happen every single day in this country, around the country.  What about trying to apply equal standards? You know, if there were Republicans protesting outside liberal justices and the tone or tenor got hot, do you think it would be the same principle as at play? Or would some people be having a different opinion? It is the same principle, although people would react differently. The idea that it's okay to show up to a judge's home before a ruling and protest is completely insane. How can you trust a judge's ruling if they're being intimidated to change them? Does anybody think for one second that we're going to see a push by the media to find out who this guy watched on cable news or what books he read or what websites he was a member of and then try to attach his actions to the words of Democrats or the media? No! Of course not! Instead, they're actually going to try and blame both sides and their political opponents. Very little detail at this point, Kate. Other than to say this man is an adult man from California. We don't yet know what the nature of the threat was. We don't know what language the threat was. Oh yeah, it's a real mystery. I'm legitimately surprised they aren't trying to tie it to January 6th. Or what kind of weapon this man might have had if he had one at all because the information at this point is just so thin.  Supreme Court justices will certainly be, you know, potentially targeted by violent extremists who are angered over this pending ruling that is poised to strike down Roe v. Wade. This is an extremely passionate issue. There are emotions on both sides. I think you're engaging in some both sides as in there, Josh. They do everything that you would predict. They try to downplay what happened and pass the blame on to their political opponents. Something else I'm noticing, this lady looks familiar to me. And that's because one month ago, she was already setting the groundwork to deflect and put the blame on her political opponents. What are authorities fearing could happen? Well, the major risk here based on the conversations I've had with several members of law enforcement throughout the week is that there is a very real concern here. The possibility that someone would commit an act of violence against abortion providers, against the clinics. They are also very closely monitoring threats that have erupted really on social media. I should caution though, there are no specific credible threats. I just want to point out that they make all these claims about right-wing threats then just kind of sneakily throw in there that there are no actual credible threats. But in fact, there are from left-wingers. Left-wingers from a group called Ruth's Senus who have right on their website that quote, we must rise up to force accountability using a diversity of tactics along with the addresses of all the conservative judges. Both sides? Both sides aren't showing up to the homes of judges to intimidate them. Both sides aren't making threats. Why would the right-wing want to make threats to these judges? They want Roe v. Way overturned. Now of course, I'll admit, this is a brand new story. We don't have all the facts yet. But according to some of the reporting, the guy had a gun, a knife, and pepper spray and admitted that he was there to kill Kavanaugh. Alright folks, not a whole lot to say on the show because like I said, it is a breaking new story but I wanted to get it out to you all. If you enjoyed it, please share the video, hit that like button and then subscribe. Leave a comment to let us all know what you think.


I would like to welcome all of you and say thank you for joining us for another episode of The Nonprofit Show. We have already been enjoying our Chitty Chat Chat with Teresa Henderson, who is a CPA and manager with your part-time controller. Teresa is here today to talk to us about those new realities that we need to consider when it comes to remote accounting. So before we dive into this conversation, we of course want to say thank you to all of our presenting sponsors. We are so extremely grateful to have your continued support and your investment, not just in these episodes, but truly in the sector at large. So with 1.8 million nonprofits across the United States, being here for the sector means so much to all of us, and it really helps to drive our communities forward in their mission-driven goals. So thank you again to our presenting sponsors. And again, thanks to your part-time controller who has provided this Nonprofit Power Week. It has been a week solely dedicated on accounting and financials, in particular your part-time controller that is a nationwide firm. They literally exist in your community because they are everywhere. So we're so grateful to have you as a presenting sponsor and a partner for today's Power Week, or this week's Power Week, in fact. So Julia Patrick joins me as the CEO of the American Nonprofit Academy. I'm Jarrett Ransom, also known as your non-profit nerd, CEO of the Raven Group. And if you joined us for the Chitty Chat Chat, you heard that Teresa Henderson called herself a nerd, and that is a huge compliment. And I love it. I need more nerd sisters. Teresa, welcome and thanks so much for joining us. Hi, I'm so happy to be here. I know my colleagues have, like you said, knocked it out of the park earlier this week. We love talking about accounting, and so we're glad to deal with you guys. Thank you so much for inviting us and having us here this week. You know, it's really a lot of fun. And I think that it's an interest. The pandemic has done so many amazing things for and to all of us, right? And I think that one of those things has got to be remote accounting services. And so we really are excited to have you talk with us because Jarrett and I have seen just an explosion of digital products and processes for the non-profit sector. A lot of them revolve around fundraising and donor management and donor cultivation and communications. But accounting, accounting can be online, digital, remote, all those things. So we're really interested to hear what you have to say. And the first thing we've got to talk about is this even safe? Yeah, that's a great question. It's a great question to ask. And I will just pick up where actually some of my colleagues have already talked about. Yeah, I think that there are, as you mentioned, there's a number of applications, online applications, that have evolved recently and in particular the cloud-based accounting systems. I think we were already moving in this direction. I mean, I can't imagine what working in the pandemic would have been like if so many of those software developers weren't already working on cloud or web-based versions of the systems. And so a lot of our clients were thinking about it, maybe moving in that direction. And so of course, as you can imagine, many of them have moved from that desktop version to the web-based version. And included in those web-based versions are a lot of the safety systems. And so it moves from those non-profits having to make sure that they are secure, that they are backing things up to now people who do it for a living, that experts are really focused on the data security, that experts are focused on making sure that your data is backed up. And so I think in many ways, the accounting systems are now more safe because built into the regular processes are some of those safety measures that accountants or that non-profits have been meaning to get to. Wow. That blows my mind. I mean, did you think, Jared, it's kind of, it's not what you would expect to hear? Yeah. Yeah, I think so. I mean, because you think about your accounting information is kind of going out there and you're not quite sure what's happening, you know, you're not used to people are used to thinking that if they have it in their control that that is maybe that's where the safety is. But really you want to make sure that it's in the control of people who know how to manage the data and know how to take care of it. So I've said before, I know you've heard it, Julia, but I have really felt, Teresa, that our sector, the non-profit sector has truly been due for a shake-up. And what you just said is that these systems actually have probably an even more enhanced safety measure or tools in place is just what we needed. And I don't know, there's been a lot of silver linings I want to acknowledge that have come out of this, most of them by default. But this is something that I think, you know, one of the things we've talked about before, Julia, is what will you continue to do because it worked so well during the pandemic that now will become standard practice? And I think remote accounting is one of those. Yeah, I agree, I agree. And along with accounting systems, a lot of the systems, not just the donor side, so not just the incoming or cash receipt side, but even the payment side. So a lot of our clients are going to payment solutions. So like a bill.com or something that manages their payment flow. And there are safety measures built into that as well, just making sure that, you know, I think my colleague Bill talked about positive pay. And some of those payment applications have a positive pay built in. So you don't even have to sign up or supply an additional list. It's already inherent once you've approved those payments, no other amounts or vendors are going to get checks if somebody changes the check, which probably isn't going to happen. But it just a lot of those additional systems that make remote accounting possible, there's just additional safety features built into them. So that's that is good news. And I think those are things that will continue to endure and will grow. So what I hear you saying is for the layperson, like me and Jared, don't be afraid. Right. Like this actually is not just a crisis driven issue. It might ultimately be the most efficient and secure way to go. Yes, I that is what I'm saying. And don't, you know, don't hesitate to do your homework, ask questions. But most of these applications and most of these folks who are comfortable working with these systems can answer your question instead of just kind of wondering what's happening. There's customer service and there are help lists and trainings involved to help to get you the information you need. So you can feel more comfortable. Wow. Are you finding that CEOs or I'll just say, you know, leaders of the organizations, are they eager to adopt these remote accounting practices? Or is there a bit of an obstacle in the way? I can imagine the board, especially as we've talked about having that fiduciary oversight. Like I'm just curious, how is the adoption of this process? It isn't always a straight line. I think that you've asked a question. It's not always a straight line because I think people are very comfortable with what they know and they can see. And this takes it out of the realm of both, right? It's something that's unfamiliar and it's something it's releasing control or what feels like control. So sometimes it's a cost benefit. I've had clients where a series of maybe unfortunate events happen, checks that were mailed that got lost. And it happened repeatedly. And so that drove the consideration. Well, is this payment system you've been trying to get me to implement, would this solve that problem? And so they've considered it as an answer to other problems they were having. And so, you know, as your part-time controller, sometimes we are looking for those opportunities. What are some of the challenges that we've had? What are some of the problems that we've had? And how would these systems address or minimize those problems? And so it's been a little bit of work. And then maybe once you get the executive director on board, it is explaining to the board of directors, you know, how will this, how does this enable you to get more visibility into the operation or to, so for board members that might have to sign checks, for example, you know, you don't have to now come by the office anymore. We don't have to make special arrangements for, you know, we can build it into how the application works to get you visibility and to get you the ability to approve and to get you the information you feel that you need in order to be able to approve it. It's all of that is built into these applications. And so once they get to see the advantages to working that way, and they do have to see it, you do have to show it to them. But once they get to see it, a lot of times they're in favor of it. And then once it gets going, they're very happy, they're very happy that they've done it. Okay. Well, let's talk about that a little bit more of that drill down because it is such a new and exciting time. And there's so many different companies coming online. What can you share with us about navigating companies that are working with US based, you know, teams versus overseas? And if that's something that is even a consideration? Yeah, that's also a great question. So, you know, I can talk, of course, most about US based, since that's what your part time controller is. And I will say, you know, one of the first things that occurs to me in terms of the difference and is the time zone. So if you're working with an overseas based firm, you know, does the time zone work? Because you really want to be able to when you establish these remote relationships, you want to have a relationship, you want to know the people that are working in your books that are working with your finances. And if they're working at a 12 hour difference from you or a nine hour difference from you, you know, how easy is that to do? Can you reach out to them? Can you get to know them? And so the first difference is that time zone. You know, and another thing is the relationship a lot of times overseas based and implicit in that it might mean they're managing it kind of as a firm and not on a one to one relationship at your part time controller. We have what we call a dedicated associate. So that person joins our client team and they become part of that client team. Again, thinking about that relationship. So there's they're talking about the expectations. Here's the work that I intend to get done. Here's when I intend to get that work done. If I have questions, I know I can come to you. You'll know what that, you know, when you're expecting to see the final result. I also get to know what's important to you. And so in that overseas relationship, are you able to identify and build a relationship with not just the firm, but the people that will be working with your firm and the people that will be working with your organization? And are they working and helping you to accomplish your mission and do what you do to make the world a better place? So, I mean, yeah, I think you just hit the nail on the head because that is something I've heard often is that, you know, well, I really want my finance person to be here on campus, you know, at their desk, kind of like in the office part of the culture. But really what I'm hearing is remote accounting doesn't necessarily mean that there is no relationship built and that they really, they be the accounting, you know, firm, just like your part-time controller here, you serve as that extension of the team. You're having these same high-level conversations that you would have if you were, I'm going to say on the payroll, right? Like as a full-time person, so you are an extension of their team and that's exactly what your part-time controller is providing if I'm hearing that correct. And you have access and a relationship built with this person so that when the systems or the world changes, right, you have, it will, you have that thought leader. Yes, and we want to make sure, as part of what you want your accountant to do is not just make sure that the numbers are reliable, you want that, you want to make sure that the numbers are recorded properly and they're recorded timely, but you also want to make sure that once they're in there and you look at these reports, those reports are meaningful to management, to the executive, to the board and that takes understanding both ways. The accountant needs to understand what's important to you so they can know what to highlight in the report or they can know even, it starts even earlier than the reports and this is where the accounting nerd comes out so please forgive me when I just take a little deep dive and say when they're setting up that chart of accounts and when they're setting up the policies and procedures and they're setting up that flow, your accountant needs to understand what's important to you, what's important to your nonprofit so they can design those processes so they can design, so when things go through the system that they come out in a way that is meaningful to you.  I was going to say your partner Ellie really drilled that home, I think it was yesterday, but as part of these series is really that financial understanding from the board and so to have the financial narrative, to have an understanding and to know what's important to the organization and that's where that relationship comes in and that is so critical. It is really critical and again, one of the questions I think I asked Jennifer on Monday in regards to fraud was really about having the extension, having your part-time controller, being a part of the team and helping to forecast and change the forecast of the budget as, I don't know, normal comes back in life or chaos hits again, really knowing that partner, what's important based off of what you're saying, Teresa, and then really having that ability to re-forecast the budget and the financials accordingly. Absolutely, absolutely. And you know, maybe you can do some things by math, in other words, maybe you can take a budget for salaries and divide it evenly throughout the year, but there are so many other things like when is cash going to come in or when are your contributions going to come in or when are you going to actually hold that fundraiser, and so when are some of the expenses going to fit, those really require getting to know you and making sure that the board, what the board is expecting to see connects to what those individual program managers are doing and sometimes finances that bridge and helping everybody understand what everybody else's priorities are. So this is a, I'm like sitting here thinking and listening to what you're saying, I'm thinking about two things come to mind.  Something that struck me was really powerful today, and that is you should know who your team is going to be. And I don't think anyone has really talked about that. We've had a lot of digitally oriented companies, don't you think Jared, I mean that's one of the biggest pitches that we get are new companies that want to come on and talk about their products. But I haven't heard anybody frame it that way that you're going to actually be able to communicate through the camera. So that's an interesting like aha moment for me, but I'm wondering, does this mean that you are like zooming in on the board meetings and somebody from that team is there? Like what does it physically, how does that physically manifest itself when we're working with boards? Yeah, that's a great question. And so absolutely, if we always offer to make sure that boards know that we're welcome up or we want to come and present financials to the board. And so maybe that means not just presenting the financials but helping the board understand what does this mean? Like what are the nonprofit accounting rules because you can have a board member who is very familiar with for profit finance, but maybe they don't understand nonprofit accounting rules. And I'm sure, you know, I know Ellie talked about that, you know, just making sure they're very smart. They know what they're doing, but nonprofits do have different rules and it is can be complicating and confusing. And so sometimes we just explain what this means. And we will, yeah, zoom in on a board meeting. And so that's another thing that this silver lining, you know, maybe has happened from the pandemic is that many more of these board meetings are by zoom. And so we can attend, you know, the board meeting beginning of the board meeting. So, you know, we don't have to be there for the whole thing, but just to make sure that everybody understands and can ask questions and we can follow up. And I think that's added a lot is being able to attend more board meetings more frequently. Amazing. Really amazing. Well, so now we got to ask the big question because we are talking with accountants. And we want to know the reality. Is this going to save us money? Or is this going to cost more? Well, can I say yes to both? Okay, yeah. So I'll say that I think that in some ways it can save money.  And then maybe along with it, you also, they may come with their own equipment. So maybe they may come with their own computer and printer. So you might save a little bit there as well. But, and I guess another thing that I would say is too, is if your firm or your nonprofit is getting audited, hiring a good bookkeeper and a good controller can make sure that your books are in order. So your audit is faster, more efficient, and therefore cheaper. So you can probably save an audit fees if you get a good controller that makes sure your books are in order and that you throughout the year you followed your policies and procedures. And so the documentation is in place. That means that these these purchases or that the contributions, everything is in order. So the audit can be a little cheaper. But I think one of the things that most of our nonprofits get out of hiring, at least your part-time controller is a higher return on investment for the other positions that aren't accountants that have been filling in the role of the accountant. So you get executive directors, if it's a small organization, who are filling in as the controller or the accountant and they're entering stuff into the system that's driving them crazy. That's taking good time away from the mission, you know, the time that they would spend dedicated to that mission or the time that they would spend explaining the the mission to funders, office managers, same thing. A lot of times these nonprofits hire these amazing, upwardly mobile, you know, office managers or office or operations assistants. And so they're able to do a ton of things. But that accounting piece is taking good time away from them doing their mission work. And so bringing in a controller or a part-time or a remote accountant can take those duties away from them. And you're now spending, maybe you're spending a little bit more because it wasn't in the budget before, but just think how much more it is to get, you know, 10, 15, 20 hours back from that executive director who was spending time entering stuff into the accounting system. Yes, I was thinking, you know, especially because that is such the culture of nonprofits is so and so can do it or we'll add this on so and so's plate or table or list, right? And often as I had shared with you before we went live, financials is not my zone of genius. So I can imagine when you add this responsibility to someone's plate that may not have that, you know, expertise, then it does take more time, takes, you know, take some frustration and frustrating moments. So I'm thinking when I hear, you know, where are we saving? Could be a cost savings, could be a time savings. And there's so many ways to really consider the benefits of this. But that to me was like really where I went because having this remote accounting relationship also, you know, removes any vacation days and hours, benefits, things like that that are directly related to financials. So you can see that financial cost savings on some of the pieces, but then also seeing the time saving from as you said, the executive director or whomever, that would be a huge advantage. Exactly. Exactly. So go ahead. I think she also like really helping to build a succession plan, like helping the organization understand, this is where we are with financials. So as we look at a succession plan, and I hope every organization at least has a consideration of that, having that remote accountant be, you know, a true permanent space for your organization, that's a huge benefit as well. Absolutely. Yeah, absolutely. Helps with the succession planning helps with the growth of the organization, right? Because if everybody is operating in their lane and doing what they do best, it just makes the organization more successful overall. And so, you know, so amplifies the need for good succession planning. So it really all feeds itself. I don't want to say accounting saves the world, but we don't, but we do save the world. Well, you know what? I do think that numbers save the world in many ways, and we don't always know it, but it's there. So we've had a couple of questions come in, and I want to ask one of them. We've had some great feedback. Somebody's just written in great presentation. Beth writes in, what about helping to organize events like auctions when it can be very hot hands on, how would the accountant, you know, be involved in a remote way? Can it even be done? That's a great question. So a couple of different things. So one is, again, if you're getting someone who is, who works in this field a lot, a lot of times they can shortcut the, maybe the regulated, the regulatory process towards getting some of those things set up, like maybe you need a special permit or something like that, and they can help you fill out those forms or interact with those offices and get that done. But again, a lot of the, what happens is now is you're getting these systems set up, these applications, payment applications to facilitate collection when you're doing an auction. So maybe the remote accountant isn't going to be on board, but if they help you get those systems set up so that you make collection easier, or that you make recording or reporting that information once it's over easier, that that's one way that they can help. I mean, again, right now we're still in the pandemic. And so a lot of our clients, a lot of nonprofits in general are still having virtual events. And so, you know, you're, if you're accountant, if you need that remote accountant to log in during the time of that virtual event, that makes that possible. So, you know, again, right now, while we're in the pandemic, I think they can work with you as long as you're having remote, or yeah, virtual events. But I think even in, even where people are having in-person events, that remote accountant can help you with the set up so that the information comes in, it's good information, and then they can help you with the reporting after the event is over. Yeah, it's that reporting. And then I would imagine too, like what you were talking about the squirrely nature of paying vendors or paying last minute things. And I think that's where a lot of issues can arise because when you're in an event and you're trying to get things done, a lot of times it's very easy just to say, okay, yeah, do it or you agree to things that aren't necessarily going to be the most mindful. That's really, really interesting. Wow. Well, it's hard to believe that our time has just flown by like that. Jared, what are you thinking now? I mean, with... I think Teresa is my new best friend. I know, especially when it comes to nerding out. I just love it. I love it when someone really knows what they're passionate about, owns it. And again, we had said the bar is high Teresa because this week has really just been a slam dunk.  So for me, knowing that you're part-time controller truly is this dedicated accounting firm working exclusively with nonprofits. I just like, it's amazing. It is so important because I've seen it all too often, Teresa. And I know Ellie talked about it as well, who is equally awesome, is many times we do find someone that has financial background and we say, great, you're our person. But as you said, and everyone said this week, nonprofits have their own little nuances. And I've even said, when you know one nonprofit, you know one nonprofit. Right. That's exactly right. Yeah. Thank you so much. We could keep talking forever. And it's just been a true pleasure having you here this entire week has been amazing. So again, today we've been chatting with Teresa Henderson, manager with your part-time controller. I'm so grateful for you to share with us about these new realities as many of us are continuing to look at options in particular when it comes to remote accounting. So thanks again for sharing your time and expertise. Thanks for having us. Thank you for having me. It's been a lot of fun. Hey, I've been joined by the nonprofit nerd herself, Jared Ransom.  Again, I'm Julia Patrick, CEO of the American Nonprofit Academy. Again, our thanks and profound gratitude to all of our sponsors who are with us day in and day out. We also want to remind you that YPTC has a really interesting new podcast called Mission Business. And it's just fabulous. It gives you an opportunity. You don't have to be one of their clients. That's the cool thing. It's a free communication that you can get into and see what they're talking about. We were chatting with Jennifer early on when we first started two years ago. She was one of our very first guests. And there were times because of the changing nature of legislation that she would literally have her cell phone and she'd be like, okay, yep, that just passed. You can now file for the PPP loans and all this. And so that's kind of what Mission Business is all about, keeping current and giving you new ideas. So check them out. Again, nonprofit power week. What an incredible journey we've been on with YPTC. Really interesting episodes. We've talked about fraud. We've talked about bankers in your boat. Very interesting and something we don't talk enough about in our sector. Financial best practices for our boards. Of course, we've had Teresa on today. And now tomorrow we're going to have Ask and Answer, all things accounting. So that'll be really a lot of fun.  I am. Yes. Now I know what to do with this money.  Thank you. I love it. Well, you know, we like to end every episode with this mantra. And I think we really, really mean it now more than ever with this resurgence of the pandemic. And that is to stay well so you can do well. Thank you, everybody. We'll see you back here tomorrow.


Hey everyone, welcome to SuperCloud 5, the battle for AI supremacy. I'm your host, Lisa Martin. Thrilled to welcome back one of our CUBE alumni to the program, Scott Anderson is here. SVP of Product Management and Business Operations at CouchBase. Scott, welcome back to the program, great to see you. Great to be back Lisa, excited to see you again.  Tell us what's new, what's going on? Yeah, we have a great announcement. One of a series of announcements that we've had over the last few months related to AI. So we've launched what we're calling the Capella Columner service, which is a new service to Capella, which is CouchBase's database as a service offering. It's a new capability that we're incredibly excited about. We've been working with a broad range of our customers in designing this product and really excited to announce the private preview is now available and customers and prospects can go and look at that at our AWS re-invent booth this week. So we're incredibly excited about this new offering. Excellent and congratulations on that by the way. So just back in August, a few months ago, CouchBase announced Capella.IQ, a co-pilot for your database as a service to accelerate developer productivity. Talk about the new Columner service, it will include IQ, give us a double click on that. Yeah, sure. So back at the end of August, we launched Capella IQ, which we're incredibly excited about. And that service allows developers to interact with data and Capella using natural language. It allows them to ask questions, get query definitions, for example, be able to create data, create indexes, all focused on allowing developers to learn CouchBase much more quickly and be incredibly productive when they're interacting with data is part of Capella overall. As we're launching Capella Columner in that new service, we're excited that day one will be supporting IQ. So now in both of our services, Capella overall, which supports our operational database, as well as the Capella Columner service, developers will be able to learn much more rapidly and be much more productive using our co-pilot service, Capella IQ. Give me a little bit of a background. Developers must be just chomping on the bit to this. What's been some of the feedback so far from the developer community in terms of Capella IQ? Yeah, it's interesting. I kind of look at two sets of developers. So developers who may not be familiar with CouchBase that are just becoming familiar with that and their ability to really explore the power of SQL++, which is our query language is part of CouchBase, to understand really, and it's surprising, how similar it is to SQL if you're used to as a relational developer using relational systems. And it's really showed them how they can transfer the skills that they've had for a number of years using relational systems and using SQL and be able to use those skills in the context of CouchBase. The other thing that's really powerful for new developers is some of the operational elements within CouchBase. So how to load data, how to create JSON documents, how to create indexes. And what it's done is really shorten that ramp time to be familiar and confident in using CouchBase. The other set of developers would say are those who are experienced using CouchBase. And they find this incredibly powerful in terms of the ability to write queries and then apply the output of IQ directly by saying, go ahead and execute that code or create sample documents, import those sample documents into a CouchBase database cluster. It also allows those developers to create code in using the standard SDKs that we support, be it .NET or Java and so forth. So not just creating a query in the CouchBase language but being able to write specific code dependent on the language of choice that they're building their application. So it sounds to me like what you're describing, CouchBase has gone right to the developer saying what can we do to make your job easier, more productive and deliver it? Absolutely, and we're really excited about the feedback that we've received so far. In addition, when you get feedback there's great opportunity for us to continue to extend the power of what IQ will be able to deliver. So as we move forward in the coming months and coming quarters, we're investing significantly in this capability as I mentioned before really to increase developer productivity be it somebody new to the CouchBase platform or somebody who's an experienced user within CouchBase. The veterans and the new guides, I love that. So from the research that I've done, Scott, from what I understand the new service will enable customers to do real-time data analysis on the same platform as operational workloads. Talk about why that's a differentiator and a huge benefit. Yeah, thank you for the question, Lisa. It is a huge differentiator. So one of the things that we have done is under the Capella umbrella which is our database as a service we have our operational clusters that we support doing query, indexing, full-text search, KV, a full multi-model database. In addition to that, we now have our new columnar service in Capella. Those are distinct services. One of the things that makes us absolutely unique in the marketplace is our ability to replicate data from our operational data store using memory-to-memory replication. So we're moving data from the operational data store into the columnar service in milliseconds. And we can do that not only from a one-to-one relationship but from a many-to-one relationship. So you can imagine some of our larger customers have several couch-based clusters, tens of couch-based clusters. The ability to replicate the data from each one of those independent clusters into a single columnar service allows them to consolidate their data and get a better view of data that they can perform analytics. The other point that I would call out is by having the two distinct services within the platform is that we don't have any resource contention. So, you know, what you don't want to do is kick off a massive analytical query and impact your operational database that would be impacting the response time of the application. So you're really getting the best of both worlds. Millisecond, response time in terms of replicating that data over, so it's truly real-time, but also the benefit of having workload isolation, which has been a core characteristic of our platform over the last 10 years here at CouchBase. Then we'll look on that from a core differentiation perspective of the CouchBase platform, so the audience understands that. Yeah, so one of the things that we have, and we really call this resource independence, we call it multidimensional scaling. So what that allows a user to be able to do for each one of the services that we have, be it columnar, be it full-text search, be it querying index, be it our data nodes, venting, all the services within our platform. Those services, if a customer wants to, can run co-located on a node if they want, or a specific compute server. They can co-locate only certain services, and as they scale, they can isolate where those services are running on dedicated nodes. And what this allows a customer to do is a couple of things. One is isolate the workload to be able to match the right infrastructure based off of the workload needs within the database. So in some cases, for example, when our data and our index nodes can be memory-intensive. So customers want to use memory-optimized compute for those services. Other things like query are very compute-intensive. So using compute-optimized instances, and being able to mix and match different instance types for those services lowers the overall total cost of ownership, also increases performance, and ensures that we have isolation of those services as a customer scales their overall environment. You touched a little bit on some of the positive business outcomes that I was going to ask you next. Lowered TCO, for example. What are some of the really key benefits that customers are going to be able to glean from the new service? Yeah, let me back up a little bit, and I'll go specifically in the columner. I think some of the benefits they're going to get, and we see this trend overall, Lisa, this concept of highly adaptive applications are real-time adaptive applications. And so the customers that I've spoken with, and we've done a number of customer advisory boards throughout this last year, what they're looking to do is have their applications be more contextualized to the individual user, and be able to customize that application or the content that the application provides to the user based off of real-time information. And not just one or two data parameters, but potentially tens or hundreds of data parameters, so that you and I are getting maybe quite different views from an application perspective as users of that, but it's real-time. It's in the context of me as a user that I want to see. So it's the ability to combine information, not just about my profile, maybe about my order history, maybe geographical information, maybe search history information, and be able to analyze that not just once a week, once a month, and kind of a batch processing, but to do that real-time, minute to minute. So as I'm interacting with the application, the context of the application is changing in real-time. And from a customer perspective, you can look at kind of two sides of the coin. I always look at one which is, how do you drive more revenue as an organization? So that's about presenting the right offers, the right information to me. The other one is driving operational efficiency for the organization itself. So that could be for a field services application, ensuring the employee is getting absolutely the right information that they need at the time that they need it in the context in which they're interacting with the application. That's the goal to deliver better customer outcomes, better customer service, and also reduce the cost of delivering those services. Employee experience, customer experience, to me are always inextricably linked. It sounds like what Capella is delivering is this notion of hyper-personalization, which as consumers, we all expect that whoever we're interacting with is going to be able to deliver relevant content, but it needs to be absolutely specific to me and what I'm looking for. How does that hyper-personalization drive differentiation and value for catch-base? Yeah, let me maybe give you an example, Lisa, one of our customers who's a very, very large retailer in the pizza delivery business around the world. And you can imagine, I think you've experienced this, I've experienced it. We get a promotional offer. The Super Bowl is going to be coming up in a couple of months here. They'll look at my classic order of history of do I buy wings? Do I, what kind of pizza do I like? Do I get the breadsticks and so forth and create a customized offer specific to me at the Super Bowl. That's interesting, we see that today. Now, when I look at hyper-personalization, we look at more real-time context. An example could have been the most recent World Series between the Diamondbacks and the Playoff Game, Diamondbacks and LA Dodgers in which, in the first inning, the Diamondbacks had a pretty quick lead there. And so now I want to present an offer not based off of a known date, right? Super Bowl Sunday is coming up, but based off of real-time information about the score of a game, be able to go ahead and customize an offer based off of my profile being that I'm in, for example, Phoenix, Arizona, or in Scottsdale area that I want to do that. Now, that's interesting. But to give a great customer experience, I need to have enough supply to fulfill that demand. So if I can marry that information with inventory, stocking levels, capacity levels of the individual stores, then I can target the ad, not only to the people of the highest propensity to go ahead and buy, but also my ability to go ahead and fulfill. So if I have, for example, a store that is, now has a significant backlog of orders, I don't want to present a promotional offer to create more of a backlog in my kitchen. So the ability to match that data, you can think of inventory, it could be pizzas, it could also be what's in a store shelves or in an online warehouse that can be delivered, match with an event, a World Series, not even just the World Series or the Playoff, but a specific inning in the game or an activity had with the profile and understanding me as a user and what my preference is, I'm going to get that match of a great offer at the absolute right time with a high confidence in my ability to deliver a great customer experience and fulfill on that promotional offer. That's outstanding. That is, I think an example of real time and hyper personalization at its best. And of course, as consumers, as we are in our personal lives, we expect that these days. It's not a, oh, that would be cool. It's no, that's what I'm looking for. I want to talk now about the acceleration of AI. We've seen so much acceleration the last year alone, but the acceleration of AI does create some challenges for customers. I'd love to understand what those challenges are and how Capella columnar solves those challenges. Yeah, I think there's a number of challenges that we've seen. I think the space is evolving day to day, week to week, month to month. We've seen the changes over the last 12 months in the AI space. With that being said, I think some of the challenges that we hear quite a bit about are the freshness of the data or the real time nature of the data. With Chowchipiti3.5 was released, it was based off of a historical kind of sweep of the internet. What we are seeing now is people want up-to-date information. The ability with our columnar store to be able to feed large language model and integrate with AI DevOps pipelines is critically important. That freshness of the data is absolutely critical. Then really kind of simplifying the overall data processing by having all the data stored in JSON, we think is another very, very important thing. The integrations are going to be absolutely key, but I would say with AI, we're really excited about it from a couch-based perspective because we think it plays into our core strengths, which are scale and performance. So as the amount of data increases, you don't want to have increased latency and response time, and that's one of the things that couch-based kind of a foundational element of our platform, which is hyper-performant, the ability to scale by scaling out the overall environment to be able to deliver that real-time experience to increase the accuracy of the response from things like large language models. Can you kind of double-click on couch-based AI approach its strategy here? Yeah, so there's four key areas that we're focused on in couch-based. The first one we talked about before, which is really around developer productivity. And we think with IQ, we've got a great offering in the marketplace which is going to help developers. And we're really excited about continuing to gain feedback from a broad range of developers and continuing to enhance the capabilities of couch-based IQ or Capella IQ. We're really excited about that. The next thing is optimized AI processing. So this is where speed and performance of our platform comes in. Also enabling AI-driven applications anywhere. And this is a key distinction with couch-based, being able not just to do it the data center in the cloud but at the edge. So one of the unique capabilities that couch-based has is not only we provide a database that can run on-prem in hybrid clouds or in public clouds itself, but our ability to distribute that data with sync capability down to the IoT or the device level. So the ability to connect data from your cloud only sync the relevant information down to your iOS or your iOS mobile device or an IoT device but also the ability as changes of the data occur on that device to efficiently move the data back into the cloud. And as we go forward and talking to a number of analysts and our customers, most data is created on the edge today and that's going to only increase. And we believe AI is going to follow that same paradigm where data is going to be created at the edge and it's going to be consumed at the edge. And that's a critical capability within the couch-based platform. And the last thing that we think is critically important is the ecosystem. So one of the things with couch-based or Capella Colmar that we're introducing is a large number of integration starting with AWS. So the ability to ingest data not only from couch-based operational databases, but from third-party sources such as F3, DynamoDB and other databases into Capella Colmar so that data can be analyzed. You can do calculations on that data. So that ecosystem is critically important and as you've seen Lisa over the last 12 months, that ecosystem has just exploded. The players are going to change. They're going to evolve over time. But we believe it's critically important that we integrate in that ecosystem and we're doing that day one with Capella Colmar. Can you touch a little bit more on the AWS ecosystem and kind of share a bit more on the AWS services that Capella Colmar is leveraging? Yeah, so Capella generally leverages a large number of services from AWS from a control plane perspective, be it secrets manager, obviously the compute, the storage S3. Unique with Colmar, we are using their elastic Kubernetes service. We're using Apache Kafka, the Amazon MSK service also. And then we have a broad number of integrations be it with DynamoDB, DocumentDB, as well as with AWS RDS. So there are a number of services that we're just getting started with and we're really excited about the future ones that we'll be offering as we get closer to general availability. Those will include some of the ML Ops services that we'll be integrating with be it SageMaker or Bedrock, which we think are absolutely critical as part of the service. Wrap us up here, Scott, with some of the main benefits that customers are really going to be able to get from Capella Colmar services. What are some of those key things that they're going to be able to harness right away? Yeah, I will kind of break it down into four kind of areas. The first one is improved agility and performance. And we talked about that workload isolation, the fact that Capella Colmar is a Colmar store, so it's incredibly efficient from a storage consumption standpoint. We've separated compute and storage so they'll be able to dynamically scale that environment out and back in to match the workload needs, which really saves costs. The other thing is the kind of embedded within this stream ingestion. So the ability, as I mentioned before, to bring data in from multiple enterprise data sources and have that data combined and be able to perform real-time analytics within that. Now, one of the most unique capabilities that we haven't touched about yet, Lisa, is the ability not only to do computation within the Colmar store, but take the results of that computation and feed that back into our operational data store. And our data store has world-class performance, the ability to do millions of operations per second in millisecond latency. So the ability to do that analysis in real-time and most importantly, be able to put an operational database, CouchBase and CouchBase Capella, and serve that to the application at low latency and high scale is critically important. The third point I would make, as we talked about many times in this interview so far, is increase ease of use for developer. So IQ once again. And then finally, reducing cost and complexity. The ability to have a single platform that combines an operational data store with the ability to do real-time analytics. It removes cost and friction around ETL, for example, and having multiple vendors and interactions occurring without data. So the ability to have that single platform with those unique capabilities that are isolated, we think is a great benefit to developers and architects in the database space. So many benefits. Scott, thank you so much for joining us on SuperCloud 5, talking about what to do with CouchBase, how you're really enabling hyper-personalization, which we all expect, developer productivity, helping organizations to really leverage the advantages of AI acceleration and reduce things like TCA. We so appreciate your insights. Thank you. Thank you for having me Lisa, really appreciate it. My pleasure. We want to thank you for watching SuperCloud 5, the battle for AI supremacy. I'm Lisa Martin. See you in a few.


Hey everybody, this is Brett, and today I am super excited to go over this 2020 Dodge Challenger Hellcat Red Eye Wide Body in F8 Green. This 2020 Dodge Challenger is stock number 13834Z. I'm going to go all the way around in this video, take a look under the hood, we're going to start it up, check out that exhaust, and just give you a really good representation of the vehicle all the way around inside and out. This one does have the 6.2 liter supercharged high output V8 Hemi engine. It puts out 797 horsepower with 707 foot-pounds of torque. It's going to get you 0-60 in 3.4 seconds and 10.8 seconds in the quarter mile thanks to DodgeGarage.com for that information. F8 Green is the paint, and like I said, we're just going to go all the way around. All of our vehicles get a 130-point inspection per the state of Wisconsin inspection process. They get a fresh oil and filter change. All the fluids get checked and topped off before being made available to our customers. I shoot all my videos in 4K, and if you like the video, you can subscribe to my YouTube channel, which is youtube.com slash Summit Auto. Click the bell notifications. You'll get updates on the videos I do each and every day here at Summit Automotive. There is the Hellcat with the little red jewel in there. This one comes with the warp speed granite 20-inch painted alloy wheels. The black brake calipers, which were an added option on this particular car. This one comes with some really nice Michelin Pilot Super Sport tires. These are 315, 35 ZR20s, and they're 315, 35 ZR20s in the front and the back. I know you can't really see the tread, but I would say they have probably about 80-90 percent of the tread left on them. You get the wide body here, which is really good looking for the fenders to make up for those wider tires. The front bumper and lower valance are in fantastic condition. I didn't see any scuffs or scrapes or dents or dings. It does have the HID headlamps, the LED running lights. We're going to turn those on at the end of the video, so stick around for that. We're also going to turn the car on here. Let's take a look under the hood. Under this hood we do have the 6.2-liter supercharged high-output V8 Hemi engine, 797 horsepower and 707 foot-pounds of torque. It does come with the cold air intake on there. That is a factory Dodge one. Just get a really good look at this engine. Even the little plaque has the red eye on it. This one is going to get you 21 miles per gallon on the highway per the window sticker and 13 in the city with an average of 15 miles per gallon. There is the emission sticker. Like I said, we're going to turn this baby on in just a second here. But first, we'll do the condition of the vehicle. Getting to the hood here, you notice the dual hood scoop there. Looks really good. You can always, I think they put these specifically on the red eye for 2020 here. I didn't see any dents or dings on the hood. The paint is in very nice, extremely clean condition, passenger side wheel, no major scuffs on there, and F8 green has a lot of metal flake to it, a lot of yellows and light greens in that metal flake. As you go down this side of this 2020 Dodge Challenger Hellcat red eye, take note of how clean that body is, how reflective and mirror-like that paint is. I take these HD videos so if you are far away or even if you're close by and you just cannot make the trip down but you're still interested in purchasing the vehicle, you can see the car, hear the car, and have confidence in what you're looking at before you even get here. So when you do get here, there's absolutely no surprises, and you can make a smart and informed buying decision from wherever you're at. If this video helps you make that buying decision, let your salesman know that you saw the video that it was helpful and that Brett sent you. Then I can keep doing these videos of these awesome cars each and every day here at Summit. This one does have the little Hellcat valve stem covers on it as well, and you can see that the back tires have a good amount of tread left on them. Once you can see, framing in your body looks good. You can't really get under there with the gimbal, but as you go around the back here, rear bumpers in fantastic condition. You get the backup parking sensors, the LED tail lamps, the special spoiler on here as well. You didn't see any dents or dings on the trunk lid. Back storage area is very clean, and it does have the Harman Kardon subwoofers back here, Tyron Flator Kit, and that's where your battery is located. But very nice and clean back here, and you can see those shocks are doing a nice job holding that trunk up. That shuts nice and solidly, and to complete our outside walk around here to verify that everything's in really nice condition, rear quarter looks really good. This back wheel is in fantastic condition as well, and you get this Pilot Super Sports back here, and 315 35 ZR20's back here as well. Down the driver's side doors are in fantastic condition. This one does have heated mirrors, blind spot monitoring, and before we get to this great interior on this car, I am going to remote start it. We do have two red keys and one black key with this car. Alright, let's lock it, and then we'll double click to start. I'm going to turn it off just so we can get to the interior here. Inside the Hellcat Red Eye package gives you the black leather and Alcaterra suede interior. This is the Laguna leather, so it's a really soft touch leather. You get the really big bolsters on the side, you get the SRT Hellcat logo embossed into the backrest. The back seats are in fantastic condition and they are trimmed out the same way as the front seats. You do get the latch child safety system I guess if you need to get your kids to school very fast. You can do that. Power driver's seat with lumbar, both of these seats are heated and cooled, factory floor mat, you get the bright pedals, auto headlamps, power telescopic and tilt steering wheel. It has the carbon fiber and suede group on it, so you get the carbon fiber dash and center console as well as the suede headliner, which we'll take a look at in just a second. Power windows locks and mirrors, you get the suede inserts or Alcaterra inserts on the doors there. Top and side take a look at the miles radio and everything that this car has to offer on the interior. Love the red eye logo at the beginning there, you get the seven inch LCD display, digital speedometer 5,430 miles. On this car you get the primary 200 mile per hour instrument cluster, speedometer there and the instrument cluster is very nice and clean. I do love how the carbon fiber kind of wraps around that dash, really gives it a good look. So this one has the wild wheel Alcaterra wrapped steering wheel. So that's pretty cool. It's an excellent condition. And the thing I like most is that the SRT logo lights up red on the center of the steering wheel. That's really cool. Has the cruise controls, paddle shifters, Bluetooth information center controls, audio controls just like any normal challenger would. This one has the 8.43C radio, has the factory navigation obviously, highway 41 is there, that is working nicely, AM, FM and serious XM radio capabilities on here. This one does have the heated and cooled seat group as well as the heated steering wheel on there. And then you have all your different apps including projection manager where you can project your cell phone to the screen, you have your SRT dash which let's turn that on.  Just a lot of really cool stuff that you can do at this radio. And then the performance pages, they take a second to load so while they're loading I will point out that you get the more tactile volume tune and climate controls down here. Note that carbon fiber center console goes all the way down and that is in fantastic condition. No dents or dings on there. And I say dents or dings because these sometimes can be dented up but I'm not sure if the carbon fiber can be dented but it's in really nice condition. No major flaws on it. 8 speed automatic transmission which comes standard on the Hellcat Red Eye. You can only get these with the automatic transmission. You get your timers and stuff right there. You can change these out, those different pods to whatever you want.  So just a lot of really cool stuff that you can do with this radio on here. We could spend hours talking about that. Passengers side, seat, floor mat and seat are in fantastic condition. And there's that suede headliner which is really cool. You get the map lights right there, home link buttons for your garage door security systems and line systems. This car has never been smoked in. It smells very clean inside. Assistant SOS buttons in the mirror there as well. Well, let's start it up one more time and then we'll take a look at all those LED lights and HID lights in the front and finish off the video here but she starts right up. You got the red key in use which unleashes the full 797 horsepower, no check engine lights or anything like that. Last thing I wanted to just point out here is you do get the badge on the dash there and yes that one also has the red eye on the Hellcat. Alright let's go check out those HID lights and we'll finish off the video here. I would personally like to thank you for checking out the video today and hopefully from this HID video you've been able to verify the quality condition options and of course check out this awesome car inside and out. All those lights are working very nicely with the air induction there with the Hellcat logo. The LED halo lights on there as well, there's an air induction as well. I would highly recommend this car from a quality and condition standpoint. I didn't see a denting on it, really really nice, FA green, really good looking color and to see more pictures of this car or one of our other 550 new and used cars, trucks, SUVs, minivans, Wrangler sports cars, challengers, chargers, mustangs, Corvettes, Camaros, you name it we got it. Go to that website right there summitauto.com, full pictures and descriptions of every single vehicle all at summitauto.com and if you'd like to check out more HD videos you can go to youtube.com slash summitauto. Click the bell notification to get updates on the videos I do each and every day here at Summit Auto as well as having access to one of the largest catalogs of vehicle walk rounds on YouTube. In fact a second you will see a link to subscribe to my YouTube channel on the upper left. A link to more challenger videos I've done in the upper right, a link to this vehicle on our website and lower left and a link to one of our latest YouTube videos in the lower right. Click those, check us out and we're super excited to help you with this ultra clean 2020 Dodge Challenger Hellcat Red Eye White Body in F8 Green Metallic. Thanks again for checking out the video remember to like, subscribe and share on the YouTube channel. I really appreciate it. Thanks again.