It's been really two unbelievable things happening at once. The total transformation of Salesforce and the total transformation of our industry. All right. Let's start with the transformation of Salesforce, okay? Look it was over a year ago, we said, Salesforce had to transform and you, many of you came to me, came to our whole team and you said, look, we're going to transform the whole company. We did it together. We could not have done it without you. We said we will restructure our business for the short and long term, we did that. We said we would place a laser focus on increasing productivity and operational excellence from across the board, we've done that. We said we were going to double down on innovation to make our core products even better, we've done that.

And when you see what's coming in Trailhead DX next week, you're not going to believe it. Not just our next generation artificial intelligence, not just -- that was not just our prompt builder, not just our copilot, but this data cloud which I'm going to get to in a second are fastest, most exciting new product ever, fastest growing, most customer traction that I have ever seen. That has been incredible. So let's talk about all of this and let's talk also about how we have also strengthened our relationships with our investors. Thank you, Mike, for everything you've done. And Amy, together with the management team, with our Board, we've really focused on you, the investor community. We've accomplished all of that together. We've completely transformed this company together and we're very grateful to each and every one of you.

And that transformation, well, it has driven incredible results. You're seeing productivity is up, profitability is up, margins up, revenues up and you're going to see it again in our results for our quarter. You're going to be looking at these full year numbers with phenomenal cash flow, with incredible margin growth, well, margin growth that I've never seen in any software company over the last 12 months -- 18 months. It's completely unprecedented. And you can see the incredible speed and success of the transformation that we've undertaken. Now we believe that Salesforce not only needs to be a great software company for our customers, our employees, our communities, but also a great company for our shareholders as well. We've certainly seen that with the exceptional performance of our equity over the last few months.

Now I'm thrilled that we're opening the door to another incredible part of our ongoing transformation today with the introduction of our first ever dividend. And that's amazing to say that word for the first time in 25 years in Salesforce history, our first ever dividend, which you're going to hear more about from Amy in a moment. And if this year has shown anything, if it's shown anything at all, it really shows that we've committed to serving all of our stakeholders. We closed out fiscal year '24 with $9.29 billion in revenue for the fourth quarter. That's up 11% year-over-year, 10% in constant currency. Pretty awesome at our size and scale, incredible. Eight of our top 10 deals in the quarter included six or more of our clouds, really showing the depth and breadth of our product line and our portfolio.

And all of our top 10 wins included sales, service and platform, and we're really focused on delivering that full cocktail of all of our clouds to all of our customers. And our deals greater than $10 million, well, they grew nearly 80% year-over-year in fiscal year '24. That was also amazing. Our customers just get so much more value and they can do so much more when they take the full advantage of our Einstein 1 platform. And I want to explain that to you because we have such a rich set of applications that when we're working with all of these employees through the whole company, and also the customers as well, we're filling our platform with the data and the metadata that our customers need to be successful. And there is no other time in the history of our industry that that rich data and metadata together in one place is so important, because that is what you're going to need to drive this artificial intelligence.

And you're going to see that next week at Trailhead DX as we show you our copilot for our first time and prompt builder for the first time, and data cloud for the first time, and how it works together so that you can get the insights that you need. Now, this is all possible because we're delivering this Einstein 1 platform. But before I get to that, I just want to make this one last point. For the full year, we delivered $34.9 billion in revenue, up 11% year-over-year, one of the best performances of any enterprise software companies ever. With our continued disciplined approach to margin expansion, non-GAAP operating margin for fiscal '24 was also 30.5%, up 800 basis points year-over-year. We closed fiscal year '24 with operating cash flow reaching $10.2 billion, operating cash flow up 44% year-over-year.

Major goal for the company this year, well risked, well done, highest cash flow in our company's history. CRPO, our current remaining performance obligation was $27.6 billion, up 12% and 13% in constant currency year-over-year, fantastic display on CRPO. And total remaining performance obligation ended the fourth quarter at $56.9 billion, an increase of 17% year-over-year. Now let me just say this again, $57 billion in RPO amazing. For fiscal year '25, we expect free cash flow to grow between 23% to 26% for fiscal year '25, that is for fiscal year '25 we expect free cash flow to grow between 23% to 26%. And we're guiding revenue to $38 billion at the high end of our range 9% year-over-year, expecting to deliver fiscal year '25 in subscription and support revenue growth of above 10% year-over-year.

In constant currency, we're going to get to that detail in a second. We're committed to delivering non-GAAP operating margin of 32.5%. All told, an unbelievable year, a transformation. From the financial metrics, we're going to get to the technology now. And before I move on, let me just say I've never seen anything like it over the last 25 years as CEO of Salesforce. The pace of change, the focus on productivity, profitability, the speed of innovation, the quality of the management team, people coming back to help us get it done, our boomerangs, our Ohana, thank you to everyone who's made this possible. Just look at where we are now. Salesforce is the world's number one AI CRM. Number one in sales, number one in service, number one in marketing, number one in data cloud.

Incredible. And since the start of the pandemic in 2020, we've doubled the size of the company. That's amazing. We doubled the size of the company in scale since the pandemic started, which was about four years ago. That's incredible at our scale. We're the largest enterprise applications company in the world. We passed SAP. That was amazing. That was a huge accomplishment this year. But now we're the third largest enterprise software company in the world and the second largest in Japan. And to all of my Japan, Ohana, [indiscernible] for what you have done with the Japanese market is incredible. We're not stopping. Our management team and our extraordinary employees are focused every day to make our business as strong as it can be. Personally, I've never been more excited about the future of Salesforce.

You're about to hear why. It's not just the incredible financial results, not just the unrivaled success of our customers, but it is the incredible door that has opened through artificial intelligence once again and the evolution of our entire technology platform. It's what our engineering and product teams have done in the last 12 months is nothing short of amazing. I am so grateful to their leadership and to David and Srini and to all of your employees. Thank you for what you have done for Salesforce. Your leadership, your vision, your insights, your creativity in rebuilding the platform so quickly, and data cloud for artificial intelligence, for Steve, what you have done for Jujhar, for my whole team, it's incredible. As I said, it's not only a remarkable year of transformation for Salesforce, it's been an amazing year of transformation for entire industry.

As I talk to CEOs around the world, they tell me they want three things. You may have heard me say this already, but I'll say it again. One, they want more productivity and they're going to get that productivity through the fundamental augmentation of their employees through artificial intelligence. It's happening and it's empirical. Number two is they want higher value customer relationships, which is also going to happen through this AI and they want higher margins, which we are seeing empirically as well when they use this artificial intelligence and these next generation products. As we look at productivity, as we look at higher value customer relationships, as we look at higher margins, how do our customers get these things? How are they achieving these goals?

It is AI. It is why every CEO and company knows they need to make major investments in AI right now. And I believe this is the single most important moment in the history of the technology industry. It's giving companies an unprecedented level of intelligence that will allow them to connect with their customers in a whole new way. And with our Einstein 1 platform, we're helping out our customers transform for the AI future. Now, many of our customers have been inspired by OpenAI's GPT-4 I have, and cohere I have, and anthropic I have, and inflection I have. And also all the amazing models on hugging face and other AI models. All these things, amazing. And everyone has been wowed by what these AIs can do incredible things and a lot of party tricks, a lot of magical things.

And then we also realize there's some other things too. Let's talk about the truth. The truth is that these AI models are all trained on amalgamated public data. You all understand that. You've all seen the New York Times lawsuit of OpenAI or others who are really going to tasks saying, this is all this amalgamated stolen public data, but all these publication (ph) used without permission and unlicensed, but amalgamated into these single consolidated data stores. Now, some of my people even say this is just stolen data, but all this public data has been amalgamated into what they call training sets. And these training sets then get turned into what we call inference, which is how the AI then is able to start to deliver its insights, but there's other things that it's providing besides insights.

These AI models, well, they could be considered very confident liars, producing misinformation, hallucinations. Hallucinations are not a feature, okay? And I'm going to get to that point in a second, and I think you all understand it that already because at this point, we all have a high level of experience with AI, don't we? Everyone has had that experience. And there's a danger though, for companies, for enterprises, for our customers, that these are not trusted solutions. And let me point out why that is, especially for companies who are in regulated markets, why this is a big, big deal. These models don't know anything about the company's customer relationships, and in some cases are just making it up. Enterprises need to have the same capabilities that are captivating consumers those amazing things, but they need to have it with trust and they need to have it with security, and it's not easy.

Look, we all read the story. Now, it just happened last week. An airline chat-bot. An airline chat Bot prompts by a passenger to book a flight with a 90 day refund window. It turns out the chat bot running on one of these big models, we won't have to use any brand names here. We all know who it was hallucinated the option, it did not exist. We all know what that's like. We've all had the experience. So here's the chat-bot, it hallucinates the option, it's working with the customers, it didn't exist. It did not exist. The airline said, oh, listen, that was just the chat-bot, it gets that way sometime. We're so sorry. You know what? That's just a separate technical entity, a separate legal entity, and the airline, we're not going to be hold liability for that.

Well, guess what? That defense did not work in a court of law. The court of law said that that AI chatbot, that made up that incredible new policy for that company, well, that company was going to be held responsible, liable for that policy, that they were going to be held liable for the work of that chatbot, just as they would for a human employee. They were being held liable for a digital employee. The reality for every enterprise is that to deliver trusted AI experiences, you need these three essential components now. You need that compelling user interface. There's no question a natural and effortless experience. And at Salesforce, we have some of the most intuitive user interfaces that deliver insights and intelligence across sales and service and marketing and commerce and industries, many of you are on Slack right now, many of you are on Tableau, many of you are on Mulesoft or one of our other products.

Okay. And what else do you need? Number two, you need a world-class AI model. And now we know there's many, many models available. Just go to Hugging Face, which is a company that we're investor in, or look at all the other models. And by the way, not only are there thousands of models right now, but there are tens of thousands, hundreds of thousands of models coming. And all the models that are available today will be obsolete 12 months from now. So we have to have an open, extensible and trusted framework inside Salesforce to be receptacles for these models. That's why Einstein 1 is so important. Then you have to be able to use these AI models, the ones that Salesforce is developing or these public models on Hugging Face or other things or even bring your own model.

Customers are even making their own models. Fantastic. Of course, we have great partnerships with OpenAI, with Anthropic, with Cohere, with many other AI models. This is the second key component. One is the UI, the second is the model. All right. Now for those of you who put like for example, Copilot on our phone, any one of the Copilots on the App Store, we have a compelling UI and we know underneath there, there is a compelling model. But third, we also know there's a huge data set there. But here we go. Now we're in the enterprise. In the enterprise, you need deep integration of data and metadata for the AI to understand and deliver the critical insights and intelligence that customers need across their business, across sales, service, marketing, commerce, whatever it is, that deep integration of the data and metadata, that's not so easy.

That's not just some amalgamated stolen public data set in the enterprise, that deep integration of data and metadata, oh, that's what Salesforce does. We are a deep integration of data and metadata. That is why it's very, very exciting. Yeah, I like to say, and I love NVIDIA, by the way. And what Jensen has done is amazing. And they are delivering very much in the era of the gold rush, the Levis jeans to the gold miners. But we all know where the gold is, the data. The gold is the data. And that's why we're so excited about Salesforce because we are one of the very largest repositories of enterprise data and metadata in the world for our customers. And customers are just starting to realize this right now and they try to stitch together a variety of AI tools and Copilots, and this and that, and whatever.

I've had so many funny conversations with so many customers who come to me that they're experts in AI and they're this, and then I just say to them, but how are you going to deliver this experience? And then finally realize, oh, I need the deep integration with the data and the metadata. The reason why the metadata is so important is because it describes the data. That's why so many companies are turning to Salesforce for their AI transformation. Only Salesforce offers these critical layers of AI for our customers. The UI, the model and the deep integration of the data and the metadata and make the AI smart and intelligent and insightful and without the hallucinations and without all these -- all the other problems. For more than two decades, we've been trusted with our customers' data and metadata and we have a lot of it and a lot of you are our customers, so you'll understand what I'm saying.

But many of our customers also have islands and thousands of systems of trap data. Now what I'm going to say is very simple. Trap data is all over the enterprise. Now what trap data can be is you might be using a great company like Snowflake, and I love Snowflake or Databricks or Microsoft or you might be using Amazon system or even something like Google. What these things -- BigQuery, all these various databases. But put your hand up if you're using Snowflake every day. Put your hand up if you're using one of these other systems. Put your hand up if you're using Salesforce sales cloud, service cloud, Tableau, Slack. We need to be able to, through our zero copy, automatically integrate into our Data Cloud, all of those systems and then seamlessly provide that data back into these amazing tools.

And that is what we are doing because so many of our customers have islands of trapped data in all of these systems. But this AI is not going to work because it needs to have this seamless amalgamated data experience of data and metadata. And that's why our Data Cloud is like a rocket ship. The entire AI revolution is built on this foundation of data and it's why we're so excited about this incredible Data cloud. It's now deeply integrated into all of our apps, into our entire platform. It's self-service for all of our customers to turn on. It is our fastest-growing product ever. It's our total focus for fiscal year '25 with Salesforce Data Cloud. Salesforce can unlock this trap data and bring together all of their business and customer data into one place for AI all while keeping their data safe and secure and it's all running inside our Einstein Trust Layer and we've deployed it to all of our customers.

We unleashed now the Copilot as well to all of our customers deeply built on our pilot, on our data and metadata. And while other copilots just sit and spin because they can't figure out what the data means and if you haven't seen the demonstrations, you just see these Copilots spin. But when they use Salesforce, it all of a sudden becomes intelligent. And that is the core of the Einstein 1 platform. It's all of our apps, all of our AI capabilities, all of the customer data in one deeply integrated trusted metadata platform. And that's why we're seeing incredible demand for Data Cloud. Data Cloud brings it all together and we are so blessed to have Data Cloud in our company. And it's also why in Q4 25% of our deals already over $1 million have included Data Cloud.

And we've recently added over 1,000 new customers to Data Cloud. We've never seen traction like this of a new product because you can just easily turn on the Data Cloud and it adds huge value to Sales Cloud, it adds huge value to Service Cloud, to Marketing Cloud, to the CDP. You've all seen the Gartner Magic quadrant that got published last week about the Data Cloud. Or if you haven't go to my Twitter feed and you'll see how amazing that MQ is. And it's the fastest-growing organic product in the history of Salesforce. This last quarter, more than 7 trillion records, 7 trillion records were ingested into Data Cloud, unbelievable. 7 trillion records ingested in Data Cloud with over 1 trillion activations driving customer engagement, lighting up all of those sales service marketing cloud users, all the platform, Tableau, it's all integrated into Data Cloud.

And because Data Cloud and all of Einstein 1 is built on our metadata framework, as I just described, every customer app can securely access and understand the data and use any model, use any UI workflow, integrate with the platform. That means less complexity, more flexibility, faster innovation. But also we want to say goodbye to these hallucinations. We want to say goodbye to all of these crazy experiences that you're having with these bots that don't know what they're doing because they have no data or metadata, okay? Or the data that they have metadata is like productivity data, or like the highest level data that's not deeply integrated data. So only Salesforce can do this. Only Salesforce has this vision of this kind of platform and only has -- we've been working on this for 25 years and we are not done.

We are just starting because let me tell you now a story of how we're delivering a high-quality trusted AI for our customers. We all know the HR and payroll leader ADP and their incredible new CEO, Maria Black, amazing. ADP has been a great Sales Cloud customer for two decades. They've used Einstein for years. They were one of the first customers we ever have. We're so grateful to ADP, amazing. And work with so many of their great CEOs over the decades. And the company wanted to transform now customer service with AI to give their agents real time insights next best actions, auto generated case summaries, well, I have to say to you, it was a little bit embarrassing, Salesforce was not number one on their list. And I said to them, how can that be?

We're the number one Service Cloud. We're number one in the MQ, we're number one in this. We're number one merchant. No, we're going to go evaluate this. We're going to look at all the different solutions. We're going to look at all the new AI models. We think we're just going to hook this model up to this and we're going to do that. And it sounded like a big Rube Goldberg invention. What was going to happen there? And so we had to go in and we just wanted to partner with them and say, all right, show us what you want to do. We're going to work with you. We're going to be trusted partners, let's go. But like a lot of our customers moving to AI, ADP realized it didn't have a comprehensive deeply integrated platform of data and metadata that could bring together all of this into a single source of truth.

And then you get the incredible customer service, then you get the results that you're looking for. And it's deeply integrated with their sales systems, with marketing and custom applications. And ADP discovered only Salesforce can do this. We were able to show ADP how we could unlock trap data with Data Cloud, zero copy, drive intelligence, productivity, efficiency for their sales team with Einstein to levels unimagined just a year ago. We're now incredibly excited to work with all of our customers to take their AI to the next level with Einstein Copilot, which is going live tomorrow. Einstein Copilot, which if you haven't seen it, and if you haven't, please come to Trailhead DX next week. This is the first conversational AI assistant for the enterprise that's truly trusted.

It's amazing. It can answer questions. It can summarize. It can create new content, dynamically automate tasks behalf of the user from this single consistent user experience embedded directly within our platform. But let me tell you the one thing that it can do that's more important than all of that. It is able to read across all the data and metadata in our platform to get that insight instantly. And you're going to see that. So the sales rep might ask the Einstein Copilot what lead I should focus on or what is the most important thing I need to do with this opportunity? And it may say, you need to resolve this customer's -- customer case because this escalation has been around for a week. Or you better go and answer that lead that came in on the marketing cloud before if you want to move this opportunity forward.

Because it's reading across the entire data set, that is something that individual users cannot do but the copilot can do with access to customer data and the metadata in Salesforce, including all this real time data and website engagement and the ability to read through the data set. That's why Einstein Copilot has all the context to understand the question and surface believe that has the highest value and likelihood to convert. And it can also instantly generate the action plan with the best steps to close the deal, such as suggesting optimal meeting times on the lead contacts, known preferences, even drafting the email. If you haven't seen the video that I put on my Twitter feed last night, there's a five minute video that goes through all of these incredible things that it's able to do.

There's never been an enterprise AI capability quite like it. It's amazing. All of us can understand the tasks that the Copilot is performing. And I bet a lot of people, even on this call, that a lot of other companies might say they can do this. But I assure you, without the deep integration of the data and the metadata across the entire platform, with the Copilot's deep integration of that data, they cannot do it. They cannot do it. I assure you they cannot because they don't have the data and the metadata, which is so critical to making an AI assistant so successful. And I encourage you to try the demos yourself to put our Copilot up against any other copilot. Because I'll tell you that I've seen enterprise Copilots from these other companies in actions and they just spin and spin and spin.

And some have a different copilot for every app, some with different capabilities, restrictions grounding this Wizzywig builders on whatever. It's very cute. Very nice. Exciting. It's really cool for the first minute and then you realize, wait a minute, what data is available in this Copilot? Only a conversational UI can start to understand all these things if it has this access. Only after a conversational UI for canned queries or don't understand the customers to customize the Copilot, those are -- none of these things are going to work. I've used those Copilots from the competitors. I have not seen them work yet. Okay, the thinking icon, the spinning, it goes on and on and on and on. Einstein Copilot, you're going to see. You're going to have your hands on it.

Now it's been released into the wild to our customers, to all of you, this is fundamentally different kind of AI. Just like Einstein was a different AI, which became the democratization of AI, which is why Einstein does a trillion transactions a week. Einstein's the only Copilot with the ability to truly understand what's going on with your customer relationships. It's one conversational AI assistant deeply connected to trusted customer data and metadata. It's one integrated system for all of our customers across any role or industry. And it's why we call it Einstein 1. It's one platform, one integrated system. That is what you need to get AI to work. Next week, at our Trailhead DX conference in San Francisco, I hope you're all coming, it's going to be amazing.

On March 6 and 7, you're going to see how we're bringing even more AI innovation to our customers. So be prepared to be amazed by Einstein Copilot builder, prompt builder, model builder, and so much more that we're doing to help our customers, make every employee more productive and transform every customer experience. And I hope you're going to join us in person or you can join us online at Salesforce Plus. And with closing, I just want to thank all of you once again for everything that you've done for us for the last year. We're so grateful to each and every one of you and to our entire management team, all our Ohana and all of our customers as well. We're so grateful as we look forward now to our 25th anniversary in March 8, I've never been more excited.

You can hear why? Not just the fundamental transformation of the company, but also the fundamental transformation of the product line and the product vision as we move into this incredible new, intelligent world that we're all seeing with AI. So thank you. I'm now turning over to Brian, who was employee number 13, our Chief Operating Officer. He's done a phenomenal job this year. Without him and without Amy, without our whole management team, it would not be possible. I just want to thank again everyone who's been a huge part of everything. And I'll turn it over to you. Brian, here we go.

Brian Millham: Well, thank you Marc. I really appreciate it. I couldn't be more proud to be part of Salesforce the past 25 years, especially this past year as we took on a pivotal business transformation while delivering incredible innovation for our customers and returns for our shareholders. Our continued focus on operational excellence, high performance and new growth initiatives helped deliver strong results in the fiscal year and remains our focus going forward. At FY ‘24, we've laid the foundation for success through strategic restructuring, streamlining our go-to-market approach, deeper inspection and continued operational excellence. As part of our transformation, we also refined and scaled our big deal motion and introduced new product bundles to give our customers comprehensive solutions on a unified, trusted platform.

And we're unlocking customer spend with new channels like AWS Marketplace and driving sea level relevance through strategic collaboration with McKinsey. The adjustments we made are paying off. As Marc mentioned, our deals greater than $10 million in FY ‘24 grew substantially 78% year-over-year and we closed 86,000 multi-cloud deals. Our pricing and packaging strategy is driving higher sales and delivering more value for companies of all sizes in the industries. Since launching in April, we've added 3,000 new logos through self-service with Salesforce starter, a solution for our small businesses that include sales, service and marketing. With AI and Data Cloud built in. We're excited by the momentum we're seeing in UE plus bundle, which is now called Einstein 1 edition.

It's providing substantial returns for our customers and for Salesforce. In fact, we continue to see significant average sales price uplift from existing customers who upgrade to Einstein 1 edition. It's also attracting new customers to Salesforce. 15% of the companies that purchased our Einstein 1 edition and FY 24 were net new logos. As you heard from Mark, with our Einstein one platform including Data Cloud and Einstein Copilot, we're rapidly infusing conversational AI across our entire product portfolio. Einstein is a huge differentiator for us as the industry transforms -- excuse me, in this AI revolution. It's the fastest and safest way to unlock an organization's data to create better customer experiences, augment employees with AI, and drive productivity and improve margins and profitability.

Every AI strategy starts with data. As Marc said, Data Cloud has strong momentum. Data Cloud is approaching $400 million in ARR, growing at nearly 90% year-over-year. And in Q4, 25% of our deals greater than $1 million, included Data Cloud. Customers like Xerox and London Stock Exchange and Dyken turned to Data Cloud in Q4 to build their trusted data foundations and unlock their trap data within Salesforce. And we're excited about our future, we just were named, as Mark mentioned, the leader in the inaugural February 2024 Gartner Magic Quadrant for customer data platforms. I met with dozen a CEOs and business leaders over the past few months, and they're all focused on fueling growth and strengthening customer relationships within their current budgets and workforce, and they see AI as the tool to augment their people and drive more productivity.

Companies like ADP and Intel, McLaren and Sonos are investing in Einstein 1 to become AI first organizations. In FY24, we closed 1,300 Einstein deals as more customers are leveraging our generative and predictive AI capabilities. We're just at the beginning of a new innovation cycle that will spark a massive software buying cycle over the coming years, and Salesforce is leading the way. We continue to see strong demand for our data products as customers lay the foundation for AI. Specifically, Mulesoft is helping companies such as Rosignal and TK Elevator in North America bring together their data from any source, a critical step to prepare for AI. Mulesoft was in eight of our top ten deals in the quarter and executed a record 319 billion workflows, automated workflows every month, up 100% year over-year. Tableau was in 20 of our top 25 deals in the quarter and is fully integrated to Data Cloud.

Wins in the quarter include customers like IHG, Heathrow Airport and Brazilian fintech stone. Tableau Pulse, a phenomenal new product that's just been released, generally available last week, actually already has 2,000 customers. Powered by Data Cloud and Einstein, Tableau Pulse automatically delivers personalized AI powered insights in both a natural language and visual format. We're also excited about the innovation coming from Slack, which was included in nearly half of our top 50 deals in the quarter. We just launched Slack AI with features like AI search channel recaps and thread summaries to meet the enormous demand for embedded AI in the flow of work from customers like Australian Post and OpenAI. It's amazing to see what Slack has accomplished in a decade and frankly it's just the beginning.

We have a great vision for the future of Slack as a conversational interface for any application. Our specialized industry products continue to fuel our growth, chosen in the quarter by customers like Japan Post Insurance, TPG Telecom and USDA. Collectively, our industry businesses finished the year at $4.8 billion ARR, up more than 20% year-over-year. We saw strong growth internationally with wins at Volvo and Genpac, Hitachi and Bochikario. India continues to be a bright spot for us, growing new business at 35% year-over year and we continue to invest in the region to meet the needs of customers including Bajaj finance. I had the great opportunity to meet with their CEO Rajiv Jane in January and a top priority for him was using Einstein to deliver predictive and generative AI across their entire lending business which they run on Salesforce.

In Q4, Bajaj became the second largest Data Cloud customer globally, building their AI foundation on the Einstein 1 platform. I want to close by acknowledging that our success is only possible because our phenomenal employees, incredible partners, trailblazers, shareholders and amazing customers who have trusted us for 25 years. As we proved in FY 24, when we focus on something as a company we deliver results. And FY25 that focus is on profitable growth. And with that, I'll turn it over to you Amy

Amy Weaver: Great. Thanks, Brian. Let me join Marc and Brian on saying what a year it has been for Salesforce. At this time last year we laid out our accelerated transformation plan and I am incredibly proud of the significant progress we made this year against that plan. Throughout fiscal 2024 we delivered, we've on increasing profitability, revenue, productivity and operational excellence. Q4 represents another quarter of strong execution and continued discipline across the business. Now let's turn to the results. For the fourth quarter, revenue was 9.3 billion, up 11% year-over-year and 10% in constant currency. The growth was primarily driven by resilient sales and service performance as well as strength in Yolsoft and Tableau.

And for the full year revenue was 34.9 billion, up 11% year-over-year in both nominal and constant currency. From a geographic perspective, in Q4, the Americas revenue grew 9%, EMEA grew 14% or 11% in constant currency, and APAC grew 14% or 19% in constant currency. We saw strong new business growth in LatAm, India and Canada, while parts of EMEA remained constrained. From an industry perspective, in Q4, public sector and travel transportation and hospitality both performed well, while retail and consumer goods and high tech were generally more measured. Our multicloud momentum also continued. In Q4, eight of our top 10 deals included six or more clouds, and more than half of our top 100 wins included six or more clouds. As you've already heard, AI starts with data and we are seeing strong momentum in Data Cloud.

In Q4, more than half of our top 25 wins included Data Cloud. Q4 revenue attrition ended the quarter at slightly above 8%, generally in line with recent quarters. In Q4, our non-GAAP operating margin was 31.4%, up 220 basis points year-over-year. And for the full year, in line with our guidance, we delivered non-GAAP operating margin of 30.5%, up 800 basis points year-over-year and GAAP operating margin ended the year at 14.4%, up 1110 basis points year-over-year. Q4 operating cash flow was $3.4 billion, up 22% year-over-year. Q4 free cash flow was $3.3 billion, up 27% year-over-year. And for the full year, operating cash flow was a record $10.2 billion, up 44% year-over-year. Full year free cash flow was $9.5 billion, up 50% year-over-year.

Now turning to remaining performance obligation, RPO, which represents all future revenue under contract, ended Q4 at an incredible $56 billion, up 17% year-over-year. Current remaining performance obligation, or CRPO, ended at $27.6 billion, up 12% year-over-year and 13% in constant currency, particularly driven by strong execution on early renewals. We also benefited from new business performance and timing of license revenue from Mulesoft and Tableau. As expected, this was partially offset by a 1 point headwind from professional services, which we had noted last quarter. Now let's turn to guidance. Starting with full fiscal year '25. On revenue, we expect $37.7 billion to $38 billion, growth of 8% to 9% year-over-year. A few items to note on our revenue guide.

Our expectations incorporate a $100 million FX headwind year-over-year or a 30 basis points impact. We also expect our professional services business to remain under pressure in FY25 and expect it will be a headwind to revenue. Within our revenue guidance, subscription and support revenue growth is expected to be slightly above 10% year-over-year in constant currency. Now, as a reminder, our top line expectations include the impact from the measured buying environment that began back in fiscal year '23. This takes time to flow through our subscription revenue stream due to the like effect of bookings to revenue recognition. That said, we continue to execute well in the measured buying environment. Over the past two quarters, I'm happy to say that we've seen improved bookings growth.

And as you heard from Marc, we're incredibly well-positioned to build on our success and bring our customers into this new AI era. Now, turning to attrition. Starting in fiscal '25, we are including Slack invoice in the metric. Despite expecting a modest headwind, we expect attrition to remain consistent at slightly above 8%. On margins, we continue to drive operational excellence, productivity and efficiency. And for fiscal year '25, we expect a non-GAAP operating margin of 32.5% representing a 200 basis point improvement year-over-year, while still making key investments in growth opportunities, notably AI, data and our core businesses. Stock-based compensation is expected to be below 8% as a percent of revenue as we continue to take a disciplined approach to our equity-based programs.

As a result, for the fiscal year '25, I am pleased that our GAAP operating margin guidance for the first time is expected to surpass 20% at 20.4%, representing a 600 basis point improvement year-over-year. We expect fiscal year '25 GAAP diluted EPS $6.07 to $6.15. Non-GAAP diluted EPS is expected to be $9.68 to $9.76. As a result of our focus on profitable growth and continued transformation, we are seeing a market improvement in our cash flow outcomes. We expect fiscal year '25 operating cash flow growth of approximately 21% to 24%, which includes a 10 point year-over-year headwind from cash taxes. CapEx for the fiscal year is expected to be slightly below 2% of revenue. This results in free cash flow growth of approximately 23% to 26% for the fiscal year.

Now to guidance for Q1. On revenue, we expect $9.12 billion to $9.17 billion, up 11% year-over-year in nominal and 12% in constant currency. This includes a tailwind from the timing of license revenue in Mulesoft and Tableau. Additionally, Q1 has a one point benefit from an extra day of revenue recognition given the leap year, which has no impact on our full year revenue or CRPO. CRPO growth for Q1 is expected to be 11% year-over-year in nominal and 12% in constant currency. For Q1, we expect GAAP EPS of $1.42 to $1.44 and non-GAAP EPS of $2.37 to $2.39. Now to capital return. We are deeply committed to driving free cash flow and return to our shareholders while investing in new organic growth initiatives. In Q4, we returned $1.7 billion in the form of share repurchases, bringing the total returns in FY24 to $7.7 billion, or more than 80% of fiscal year free cash flow, which more than fully offset dilution from our stock-based compensation.

Since the inception of our repurchase program, we have now returned $11.7 billion to shareholders with an average purchase price of $182 per share. And I'm incredibly excited to announce our first ever dividend. We are enhancing our capital return strategy reflective of the confidence we have in the future of our business and our ability to drive long term cash flow. Our Board has approved the initiation of a quarterly dividend starting at $0.40, more details of this dividend are available in our press release. Additionally, the Board has approved a $10 billion increase to our share repurchase plan, bringing the total authorization to $30 billion. Based on our progress to date, the remaining balance in the program is approximately $18 billion.

In closing, I want to echo Marc and Brian, and this has been an extraordinary year. I'm very proud of the progress we have made throughout the company. We are executing with discipline while also investing for our future. I want to personally thank our employees who have worked so hard this past year and thank our shareholders for their continued support over this past transformational year. Now, Mike, I think we better open up the call for questions.

Michael Spencer: Thanks, Amy. Brandon (ph), we're ready to take questions.

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