 Yeah, hi everybody as cadre was saying so nice to see all of you some so many familiar faces, right? We've been doing this for so long and It's just a vibrant community. So I was here yesterday for you guys were here yesterday. I Can tell you that you know, I was talking yesterday about enterprise architecture Sustainability and cloud compute and I can tell you that the presence here is massive, right? It's a lot bigger. So then yesterday so nothing But only positive things to say about that, right? That's why this community is so Exciting to work with right. So yeah, I'm Vlad Frazal. I've been working with OSDU since the beginning and actually if we think about OSDU on AWS right our OSDU data platform. We've been working with OSDU since before it started So thank you, you know for shell for the partnering with us So thank you Monica for the nice reference that you did before I really appreciate that, right? But that's the story of OSDU with AWS, right? We've been working with this since the beginning We're working now. We're committed and we will be working with OSDU in the near future, right? in the future to go and The beautiful thing one of the many beautiful things about OSDU is that you know as an open source project OSDU is the same everywhere, right? So I would like you to understand to know right and to emphasize that that everything that the forum develops Everything that the forum throw at us will take and we implement So if you're using OSDU somewhere else, it should be easy to use on AWS If advice versa, right? Because that's the whole thing and the whole purpose, right? So So what's the difference then, right? So if you're deploying everything Where is the difference, right? I think the difference on on everything is not on OSDU itself from a functional perspective It's on the services that are used to Build OSDU and to deploy OSDU to the be deployed around OSDU, right? So for example Using AWS services like S3. I do not want to get into much detail about that unless you want of course We can build some functionality is like Multi-tenancy this is something that we've been working For some time now and it's something that you know We are doing because we are a customer obsessed company. So we do what our customers are asking, right? And by the way talking about the features and functionalities We might debate when we'll be deploying which functionality, right? But that's because we listen to our customers So if you want that functionality deployed before or earlier come talk to us and we work with that, right? So we heard from our customers that you know, they wanted and in particular some partners They wanted multi-tenancy and a multi-tenancy with data isolation to the storage layer So we decided to develop that and we are leveraging S3 to facilitate that So another thing that is important that we heard from our customers and partners is the multi-region you heard before Right that the shell is working with multi-region. We are also working with multi-region. So by leveraging a Feature from S3 called multi-region access point that you know, it's it's just something that I love We can deploy a centralized catalog with Distributed storage anywhere in the world. So it doesn't really matter where you want your storage and of course there's Limitations here and there we're working to implement all of that, right? but we can deploy a centralized catalog with a distributed storage with Replication that you can control and manage anywhere in the world and I think that's just great, right? Because I'm so excited about that because this is something that our customers and partners have been asking, you know for a while Right. So another thing that is important. It's about ingestion Everybody or at least many of us Complain a little bit about you know airflow and I love I have a love-hate relationship with it But I think we all have right so we have an easy ingestion as well leveraging some of our partners and Leveraging again some services from AWS like lambda and server less We have an easy ingestion if you haven't heard come talk to us. We can show it to you how it works, right? So it's really easy to get your data inside of OSDU. So what else do we do? So Something else they're gonna say is we deploy OSDU the way that you want Right some customers want to deploy themselves and I say, okay Give me the installer and I want to deploy myself because I want to custom it because of my security standards Fine, we can do that for you. Other customers want OSDU deployed fully managed We do that as well. We have a fully managed software as a service OSDU that can be deployed anywhere in the world I think this is important in its key, right? So if you have a Your in-country restriction and you wanted to be deployed as a service in some power For example, we can do that for you if you wanted to be deployed in UAE We can do that for you right now, right? Managed deployed anywhere in the world including multi region and multi tenancy or if you want to do it Embedded This is something I would like to call your attention. What do I mean by that? Well, I was talking today And I spoke a little bit about you know the innovators dilemma yesterday Which what which is if you're familiar with that, you know, if you keep doing better what you're doing eventually you fail And that's crazy, right? So how do we avoid failing by doing better? I think this is the key is to disrupt So I think we are disrupting To some extent the way OSDU is deployed by offering a very low-cost Entry point for OSDU So if you are a partner or a small operator and you want to use OSDU And you're not you know, you're not willing to you know, put all that money on a large installation of OSDU Whatever all that money means, right? So you want a low-cost low-barrier entry point talking about, you know, the five Force of Porter as well, right? So if you want to lower the barrier of entry, we have an offering for that We have an OSDU that costs dollars an hour and I think that's great So put it all together. We have an OSDU that costs a low-cost low-barrier of entry Deployed everywhere in the world Managed with multi-tenancy support. So I think that's that's pretty cool, right? So what else do we have? Well, we have a fantastic AWS partner ecosystem and I wish I could say there's gonna be some news Hopefully in the following weeks But Kim would kill me and I will lose my job if I say but so we have a something new coming in the following week With a strategic partner with something low-cost You know for smaller operators in and forever whoever is interested, right? So I think that's really cool with our partner ecosystem, right? And it's a huge thing So together we have Christine here if you want to know more about that everybody knows Christine roads if you don't know I advise you to talk to her she can explain all of about our Partners we have created more than 40 proof-of-value projects integrating ISV solutions to OSDU by the way tomorrow We have a happy hour where we're gonna be launching a new program, right called launchpad with the OSDU partners and AWS where you can see into when workflows Implemented as a service Managed powered by our great partners 47 lining So if you know no more about that talk to me buzz his sitting over there So thank you me for being a such a strong partner, right? So and everybody else I hate to you know point to one is just you know We're thankful for all of you guys that are working with us and there's more and if you have a partner That is not here ask him why he's not leveraging OSDU on AWS, right? Especially what I'm saying that you can deploy manage anywhere in the world Low-cost any way that you want multi tenant multi region, right? So that's great And more right there's an aim more down there. So yeah So what else? Given that OSDU is the same Given that OSDU is you know from a functional perspective, right? It is the same What else can we offer besides all the functionality that already said so I want to tell you and talk about if haven't heard AWS has an integrated Energy portfolio, so if you want a solution and of course we have our partners We're not competing with your partners don't take me wrong, of course, right? So but if you want a solution that you want to talk about geology and geophysics or drilling and completions, right? Or if you want all the way to midstream downstream and even new energies, right? If you want a solution about micro grids or carbon Trading or offshore wind or whatever we have a lot of solutions Developed by AWS that we can deploy, you know on top and around of OSDU as well So put all of that together, right? We have OSDU. We have our Deploy all the functionalities We have all the things that we can all the functionalities that we can do leveraging OSDU and AWS services, right? We have all the solutions from the partners. We have AWS solutions as well I think that's a pretty powerful solution with resources available to you Right, so I want you all to know so with that We can do some pretty cool things with all of that. For example, there's so many cases that I want to talk to y'all But it's just I don't have time. We don't have time, right? We have we have the only 15 minutes here But one use case that I would like to talk about is the ultra-fast seismic data processing again That's something that we did leveraging AWS services leveraging lambda So instead of you know, we have this challenge this operator that you know was taking hours to convert from a large Seismic file so using lambda we were able to parallelize all of that and do you know for a very low cost, you know In a fraction of the time, right? We are talking about five cents here So how cool is that right that can process a terabyte size file for pennies, right? And you know a very low time by using parallel parallelization and serverless, right? So that's not one solution that I'm we're really proud of that Another solution that I would like to talk is our seismic interpretation using deep learning So image recognition is something that is not new of course, right? It's been up there for you know a long time So we use that and we have case of that where we use image recognition and other machine learning techniques To do seismic interpretation, right? So I'm not a geophysicist. I'm an IT guy but we have People that can talk about that and explain all of that how that's being done, right? This case in particular. It was a led by a Professional services, I think right came so yeah What else so another thing that we can do and again, these are just examples of stuff that we can do, right? And that we are already doing there's a lot more of the love to talk about so for example There's this yellow device there called monitor on You can plug that and put that on an equipment it will monitor vibration and Temperature and stream that data to the cloud you can combine that data with the West you and boom you get OSD you integrated asset management So this is one of the many possibilities that of stuff that we do So there's a couple demos that I I've been doing around to some customers where I'm using Low code no code machine learning to predict curves for curve prediction, right from well Well logs and that's something that you know, it's pretty good as well It's pretty cool to show and there's no coding at all You just drag and drop stuff and create your prediction models, right? There's another one that you can do using very low code with sequel services where you can create a machine learning model using sequel service I mean sequel commands, right a very low code and there's another one that I was doing with Yuri the other day and Yuri's another architect that working with us is sitting over there close to a Christine You wet we were taught we were showing a quick site queue quick site queue. You can ask questions using natural language So how cool is that right? So these are just some examples. I can talk for hours. Believe me On you know how much I can talk, you know about anything, but Basically, it's because we innovate The reason for this slide is We work and this is the truth, right? We work from what our customers want backwards from that so 90% of what we do on AWS is build What you tell us that matters to you like the features on OS do that are implementing, right? And the other 10% is from innovation that we decide to do like serverless for example Or or like, you know multi-region access point with S3 which allow it, you know the multi region to be implemented For OS do on AWS, right? So I think that's pretty impressive numbers, right to deploy 3,000 more than 3300 new features in a single year. It's just it's an amazing credible number, right? so Everybody has been talking about large language models. I know that this is a little bit techie For some of you guys, but I wanted to cover that so at AWS. We are focused on democratizing Access to large language models, right? We want you to have your large language model Deployed on your account with your data. So think about the use cases You can create your own because this is something our customer asked me and the customer said hey, can I Train a machine learning model for me with my language with my knowledge and Deploy for myself because I want it to be proprietary to my company. Can I do that? Yes, you can So with a very again, this is important and I apologize for emphasizing But we believe that this is so important for OS do you to have something that can be deployed at low cost Anywhere that you are anywhere in the world, right? So that's what we're doing here And we have all the the the good stuff we have the hugging smiley face We have you know all the large models are out there. There's even one model if you've seen me doing some demos You've probably saw me doing a demo with Alexa, right, which is a It's interesting but it's a little bit limited, right? Because of the way we have to model for that demo in particular the way you have to model the Q&A is right the questions and answers but With this we can use something called Alexa teacher, right? Which is a model a large language model deployed with that You know many many parameters. I don't remember the name now I think it's 20 billion parameters or something like that for a fraction of the time at the cost, right? So there's a lot I can talk about that. So if you're interested on your your and again Your large language models deployed to you owned by you We have a solution for you and also And I promise I'm almost done with it. So don't get mad with me Anybody, but I'm almost done with it. So it's just that you know, there's so much we want to talk about And by the way, I'm looking to there is right now and I forgot to mention. I apologize that we also deploy on-prem So if you want to ask you on-prem, we have our partnership with IBM So we have Kim here and there is here So now we can work with you and deploy on-prem if there's no region There's no cloud presence there. Whatever the cloud provider is we can go there and deploy OSD on-prem, right? So anyway back to The AI and machine learning stuff. We have a program right now that we launched To support a startups, right? It's an accelerator for startups. So the link is over there down there You can if you're interested on that there's some funding for you, right on top of all the other funding that we provide So I think that's pretty cool because we're committed to that, right? so Anyway, I hope I made the case But if there's something in one final is live that I want to show you guys because if you don't believe me You don't believe me, right? Maybe you are looking say, oh, hey, who is that guy over there talking this thing, right? And and say that has little cost and that OSD you on AWS is so cool So let's ask someone else, right? I decided to ask, you know, chat GPT So I decided to ask hey chat GPT. Why should I use OSD you on AWS, right? So and this is a video, right? So why should they use and I might ask, oh, okay You should have asked why I should not use so call me bias, but I'm not interested on that question, right? I'm interested on this one. So why should I use OSD you and AWS and it's saying right there? So don't trust me trust chat GPT, right? It's saying Sustainability security and everything else, right? So thank you open AI for that. I agree with you, right? So So, yeah, that's all I had