Thanks, Devin, and welcome everyone to our second quarter of 2024 business update. I appreciate the opportunity to outline some of the compelling progress we've made year-to-date, building and scaling DigitalBridge. As you'll see today, we've made tangible progress across many of our key 2024 priorities, particularly around capital formation linked to the AI infrastructure ecosystem. So let's get started. First and foremost, number one, financial performance. Delivering pure leading revenue growth with expanding operating margins is central to the DigitalBridge investment thesis. We've delivered that growth this quarter with management fee revenues up 18% over the prior year along with growing margins. Tom will walk you through the financials later in this call. Second, as you know, the key driver of these management fees and fee-related earnings over time is new capital formation. Here, our AI-powered data center vertical is increasingly a key focus for our global limited partners. It's underpinning strong capital formation across debt and equity markets to support the growth of our portfolio and it's catalyzing new investment solutions. This is where our position as the largest private manager of data centers globally really matters. I'll walk you through why this is important to us today. Number three, we're well positioned to meet our annual fundraising and financial goals for the year with $3.4 billion in new FEEUM raised through today, directly in line with where we were last year on our way to $7 billion in new capital formation. And we're heading into a seasonally strong final four months of the year. I have high conviction we'll meet and exceed our targets here. So let's begin by highlighting the capital formation across our portfolio year-to-date and how that drives value creation at DigitalBridge. Next slide, please. This slide highlights how capital formation in 2024 is being driven by strong limited partner demand for AI levered data center platforms. When you look across the $14 billion in equity and credit we've raised so far this year, about 80% of that is earmarked for investment across our data center platform. That includes fresh FEEUM the fuel investment in new platforms, anchor co-investments that boost our firepower and generates carried interest, and credit financings to support CapEx, both in our -- in the form of long-term debt and ABS securitizations, which we've historically used to drive down our borrowing costs over time. Credit and equity markets want to partner with DigitalBridge to support the growth of our ecosystem. We've highlighted a few notable financings year-to-date, including Switch, Databank, and Vantage, which placed a $3 billion green loan earlier this year to fuel our North American expansion. We've also been very active in co-investment, supporting the growing equity needs of our platforms with Scala, Vantage, and Switch all bringing in new investors to support their continued growth. Bottom line, we've got an incredibly dynamic portfolio that continues to grow and attracts capital. Next slide, please. To understand why limited partners, and more broadly, capital markets are allocating to DigitalBridge, you have to understand our unique data center footprint and our differentiated vision for the evolution of AI infrastructure. First, let's start by profiling the largest global private data center portfolio today, diversified across six platforms with exposure to the fast growing segments of the data center market. Today, we have 4 gigawatts of capacity available across 173 data centers. We cover 84 markets globally across 75 campuses, that's over 20 million square feet of data center capacity. As you can see on the left, we own platforms that serve the largest public cloud hyperscale workloads. The private cloud, where you also see significant AI training deployments today, and all the way to the edge, which will play an increasingly important role as generative AI applications proliferate to the edge. This is a diverse set of high-quality market-leading platforms. And look, we're ready to expand significantly to over 7.5 gigawatts within the next five years, nearly double where we stand today. That's another 93 data centers in development, which equates to another $35 billion or so of development CapEx that DigitalBridge is going to deploy across these six powerful platforms. These are larger, highly densified data centers architected to serve the AI economy and AI workloads. This portfolio and development pipeline uniquely positions DigitalBridge to serve AI's cloud trained, edge delivered future. Next slide, please. Let's put that investment and opportunity into context. As many of you know, AI infrastructure investment is re-accelerating. After 10-years of cloud investment that took CapEx from $25 billion to over $150 billion and created a market that generates over $300 billion in annual service revenues, generative AI has catalyzed to an inflection point, re-accelerating investment across leading hyperscale technology companies, upwards of $250 billion per annum. This is up nearly $100 billion from last year. We believe generative AI will drive the next 10-year plus CapEx cycle. So as you see, while it's early days, we stick to our core thesis. You've heard this before, follow the logos. And it's the customers, the ones with the deepest insights into generative value breakthroughs and their implications, the demand trajectories they're seeing for new services and new markets. And ultimately, the investment and the return on that investment that they're seeing today across their investments with a principal focus on AI infrastructure. On the left, we pulled a few quotes from some of the companies from their 2Q earnings, talking about their commitment to invest and the early results they're seeing in generative AI. We've seen this cycle play out before in public cloud. So let's rewind the clock. Was it a good idea for Amazon, Google, and Microsoft to invest in public cloud 10-years ago? Next page, please. I highlighted the breadth of our platform earlier when I outlined our global data center footprint. This slide captures why that breadth is relevant to an evolving data center ecosystem. And this is truly why you need to have a diversified portfolio, a portfolio of assets that meet the critical needs of our customers. You see, single platform businesses don't address many key customer workloads. A diverse set of solutions is required, all the way from public cloud to the private cloud that serves AI training to smaller workloads at the edge where AI inference happens. One of the interesting evolutions across our portfolio is we're increasingly seeing some of the same customers that typically operate at a men's scale or on a highly distributed basis, look to add capacity across the ecosystem, whether that's hyperscalers increasingly building capacity of the edge or enterprises developing large scale campuses to handle their generative workloads. Understanding how workflows and workloads evolve from the public cloud all the way through to the connected edge is another aspect of following logos. Where our customers are telling us exactly where they need to be, we have the facilities, we have the capacity, we have the platforms, and the management teams to meet those demands on a global basis. This makes us extremely unique and very differentiated in terms of our approach to investing in AI infrastructure and data centers. Next slide, please. By the way, when we talk about a vision for AI infrastructure, it's not just about architecting a diverse portfolio of data center businesses. AI infrastructure isn't just data centers. It also includes fiber. It includes mobile infrastructure like cell towers and small cells. And in addition to that, ran hubs like edge infrastructure. You're going to see a lot more attention paid to the middle and last mile of connectivity and compute over the next few years as those generative AI applications and workloads proliferate to the edge. When these trained LLMs and applications, which are embedded in AI, are deployed at scale across enterprise and consumer markets, the rest of the network becomes critical. Owning the middle and last mile is going to become increasingly valuable. Another area where we are already a market leader. Operating a top five independent global tower portfolio including companies like Vertical Bridge, the largest private cell tower operator in the United States, European tower companies like GD Towers, and Belgian Tower Partners, our global network spans to Latin America. We have Highline, ATP, MTP, and to Southeast Asia we have EdgePoint. In fiber, which is AI's connective tissue, companies like