 Good morning everyone. Thank you for being here. I'm delighted to join this crew. I run digital and platform engineering for EY. First of all, thank you for CNCF and Linux foundations for this amazing opportunity to sort of present in front of this tech community. Primary objective is to make sure that you guys understand EY is in tech, right? We are beyond an audit firm. That's one thing. We sort of wanted to bust that bubble. Second is, I have a couple of clients here in the audience and my team and colleagues who are somewhere here. So thanks for joining. So in the world of JNAI, right? We are talking about modern tech. Digital sort of feels like legacy already, right? With 50 shades of gray across various avatars running around in different organizations. For us, what that really means is anything open source, cloud native, full stack engineering is sort of considered digital for us, right? And platform engineering is an integral part of it. So while this is a whole gamut of things to sort of, you know, in that remit, right? It's very difficult to unpack all of it in a few minutes. So I'll try to do my best in terms of at least focusing on a couple of really complex case studies where we have helped very large clients across the globe in steering through and navigating and helping them in terms of transforming, right? So the first one that comes to mind and obviously all these sort of come back and feed into the whole democratization aspect of it for software, right? That's the underlying aspect of it. So the first one is on the financial services side on the commercial banking space, right? It's one of the most complex in terms of processes. Syndicated lending is a use case. As you know, syndicated lending is one of the most antiquated processes in the industry with a very fractured technology framework, right? Very isolated. So if I were to just maybe spend 15 seconds to talk about the actual real world scenario, if you imagine a very large commercial entity who's looking to raise capital, right? For business expansion or what have you. So what they do is they typically go to a financial institution to raise that, right? And one financial institution like a large bank will not have the enough support mechanism to sort of go through with that request. So what they do is they pull in a syndication of all the other banks in this case, right? So let's say JP Morgan, Bank of America, a couple of those organizations come together and form a loan syndication. So there in itself lies the complexity because you've got multiple entities running on this. Now if I were to put a technology lens to it, right? So all the deal terms, the covenants, the facilities, the owners, the corners, the signers and all the parent companies associated with this multiple entities. This scenario gets complex really, really fast, right? So how do you build a platform to sort of enable this end to end, right? So 18 months into the into the whole game. So they have formed the four largest banks in the world, have formed a consortium. They have invited EY to ideate the design to architect and engineer and end to end platform in the scenario, right? So if you look up Versana as a platform on the Wall Street, so syndicated lending market is upwards of about four trillion with the T in the actual market place. And then four of the largest banks hold 60% of the market share. So we have built that platform, we have launched it, and all the agents banks are on it, lenders are on it, all the commercial businesses are on it, right? So if you're to apply that lens and look at any of the modernized journeys that you're going through with your clients, right? This thing pretty much checks all the boxes from cloud nativity, to modularity, to API driven economy, we have also worked with Fintechs in the back end for an ecosystem build out for smart contracts and distributed ledger. So it has all the open source needs that fundamentally fuels this, right? So it goes back to the decentralization of innovation on trust, right? This is essentially the underpinning aspect of what Linux Foundation talks about, right? So these are some of the aspects that we've been doing in the market. The second one on the far right of the spectrum, I'll take maybe another half a minute, is on the retail and storefronts, right? We've been working with one of the largest storefronts in the U.S. Just to give you some data points, they run about a thousand storefronts across the country. The best data point to relate to is they sell about half a million coffee cups every day, or cups of coffee, and about a million, I would say, coal beverages every day, and about $100 million of transactions at their ATMs and fuels and all of that, right? So how do you build an end to end customer experience for such a large organization, right? So we built commerce tools on AWS, the underpinning orchestration plus deployment automation on Kubernetes, and then all of this obviously runs on open source stack, right? So essentially these are some of the very few highlights just as a preview. I think that's sort of my segment for today. We have a booth right outside, and my team is going to be manning that. If you guys have any questions, any follow-ups, and you're interested in talking through this, we'll be happy to sort of support that. So thanks again. Have a great day. Cheers.