Hi, I'm Thomas Siebel, the Founder and Chief Executive Officer of C3 AI. C3 AI was founded in January 2009. We went public in December 2020 as the world's first pure-play enterprise application software company. The purpose of this presentation is to remind you what we do, how we are unique, the scale of the addressable market opportunity in enterprise AI, and the means by which we are attacking the market. This is my fourth decade in the information technology industry. I began out of graduate school at a startup company called Oracle Corporation. At that time, Oracle was doing about $2 million in revenue with 20 employees in the United States. In 1993, I founded Siebel Systems, a company that rapidly became the world's leading provider of CRM systems, growing to over $2 billion in revenue with 8,500 employees in about six years. The company later merged with Oracle in January 2006. At the time I joined Oracle, the global market for information technology was about $200 billion. Today, it approaches $6 trillion. Now we're seeing this growth rate accelerate, driven by a new step function of four technologies that change everything about information technology. These include elastic cloud computing, big data, the Internet of Things, and predictive analytics, commonly called AI or machine learning. When we apply predictive analytics and AI to commercial and industrial processes, this creates the opportunity that we call enterprise AI. At the intersection of these technology vectors, we find this phenomenon that we call digital transformation. Digital transformation is now at the top of every CEO's and every board's agenda. According to IDC, we are addressing an enormous market in enterprise AI of almost $300 billion this year, growing to almost $600 billion in 2025. I believe this is the largest application opportunity in the history of enterprise application software. We've spent the last 13 years building the C3 AI Suite, an integrated suite of applications, tools, and platforms that provide all the software necessary and sufficient for an organization to rapidly design, develop, provision, and operate any enterprise-scale AI application. Our C3 AI technology solves problems on a large commercial industrial scale that provides enormous social and economic benefits. Our mission at C3 AI is to establish a leadership position in enterprise AI software with a platform and with AI applications and with solutions that are absolutely unique. Virtually all other AI software solutions in the market provide one or more specific features that might contribute to an application solution. Examples of such features include AutoML, machine learning libraries, ML pipeline management, and virtualization platforms. You can think of these features as gears or small components that might be part of a large and complex system that could collectively address a complex business problem. C3 AI is absolutely unique in that we provide turnkey enterprise AI applications that fully address real-world business problems, delivering substantial social and economic benefit. We provide over 40 enterprise applications that serve the needs of many industries, including chemicals, banking, utilities, manufacturing, defense, intelligence, oil and gas, and agribusiness. Some of the applications that we provide include inventory optimization, demand forecasting, predictive maintenance, fraud detection, anti-money laundering, yield optimization, and production scheduling. We do this across an increasingly wide range of industries, delivering high-value solutions to some of the world's largest and most iconic organizations including agribusinesses such as Cargill, banks and financial services firms such as Bank of America and FIS, manufacturers such as Georgia-Pacific and Philips, aerospace and defense organizations such as the United States Air Force, Department of Defense, oil and gas companies such as Shell, Eni, and Baker Hughes. We have chemical companies such as LyondellBasell and Flint Hills Research, and energy and utilities such as ENGIE, Enel, Con Edison, and more. These applications today provide billions of dollars of economic benefits to our customers. In addition to enterprise AI applications, we provide a software platform, the C3 AI Suite, for designing, developing, provisioning, operating any enterprise AI application. The C3 AI Suite is unique in the AI software world in that rather than providing one or a few AI features, it provides our customers all of the software features and services necessary to design, develop, provision, operate virtually any enterprise AI application, all in one cohesive, coherent, integrated software platform. This saves our customers time, money, and risk. The economic benefits of some of these applications are measured in billions of dollars per year. Now, this can be a bit difficult to get your mind around. You, if you think of a single integrated AI software solution that provides, in one package, the union of the functionality offered by all of the AI software companies that you are aware of, say, Palantir, Dataiku, DataRobot, Databricks, DataStax, Alteryx, TensorFlow, et cetera, that's what we offer to the market. How do we do it? The secret sauce at C3 AI is this concept of a model-driven architecture. Our approach dramatically simplifies complex enterprise application problems so that our customers can rapidly design, develop, provision, operate industrial and commercial scale AI solutions. We license the C3 AI Suite so that our customers can build any AI application of their choosing and run their applications without modification on AWS, on Azure, on the Google Cloud Platform, on bare metal behind the firewall, on the edge, or on any combination thereof. We are providing our customers and partners with the antidote to vendor lock-in. Our customers, once they develop an application, can move their applications across these cloud platforms or across these utilities as these platform providers out-innovate one another. Let me re-emphasize. This is a $596 billion addressable software market in 2025. Our goal at C3 AI is to establish a global market leadership position in that market. I believe we're the world's leading provider of these types of solutions today. Let's look at the data. As of this date, our 218 customers are executing nearly 2 billion machine learning predictions every day. They're aggregating data from over 900 unique enterprise and extraprise data sources. They're using over 36 billion machine learning features daily, and they are managing over 25 trillion data elements. Finally, they're touching over 50 million businesses and consumers daily. One of the truly unique aspects of what we're doing is the real substantial and measurable outcomes our customers receive by deploying the C3 AI Suite and C3 AI application. Let's take a look at some real customer examples of these high-value outcomes. In oil and gas, this is an example of a major oil company where we've been adopted as the AI standard for upstream, downstream, midstream, retailing, renewables. Everything from predictive maintenance for oil production facilities like offshore oil rigs and submersible pumps and rod pumps, production optimization for wells, process optimization in refining, integration of renewable energy resources. We are enabling this organization to digitally transform a EUR 300 billion business and bring it into the new energy, clean energy future. For banking customers, we have a range of AI application solutions, ranging from anti-money laundering to fraud detection to cash management and securities lending optimization. For this customer, one of the world's largest financial institutions, we hope to deliver $3.5 billion in annual economic benefit across its value chain. At this $88 billion utility, we're applying enterprise AI to Smart Grid Analytics so it can deliver safer, cleaner, more reliable energy and integrate renewable energy into the mix through distributed energy resource management. The economic benefit that they hope to realize from these initiatives approaches EUR 6 billion in recurring annual economic benefit. Combined, our customers are realizing billions of dollars in economic benefit each year by deploying the C3 AI applications. Another aspect of these C3 AI solutions is that we are delivering extraordinarily high-value solutions in very short periods of time. Let's look at a few examples of how C3 AI customers are leveraging our technology to achieve rapid time to value and accelerating time to high-value outcomes at enterprise scale. Shell has standardized on C3 AI as its core AI platform for digital transformation, and is addressing a growing set of use cases across its entire global value chain, upstream, midstream, downstream, retail, trading, renewables. If we look at just one of the many applications that Shell is deploying globally, this one being predictive maintenance for critical equipment and control valves, you can see that Shell has successfully rolled out this application over the past few years to multiple assets globally. Each bar in this chart represents the deployment timeframe for the application at an asset. An asset, in this case, is a large facility. Think refinery, production plant, and so on. The scale is huge. You can see how the deployment timelines tend to shorten over time. To date, Shell has deployed this application to more than 10,000 pieces of equipment at more than 20 large-scale global assets. Shell is on track to deploy C3 AI-powered applications to 65 assets of this scale globally by the latter half of this year, spanning multiple use cases, including reliability, asset integrity, process optimization, production optimization and integration of renewables. To give you a feel for the decision processes that companies go through in selecting C3 AI, I wanna play a short clip from my friend Dan Jeavons at Shell. What's important is that you have to work at multiscale to do this. What we've been trying to do is think through how do you enable the front line to solve problems and to come up with creative solutions, while at the same time deploying replicable, scalable applications that impact the entire business? We tried to do this ourselves and we were quite convinced we could build it. At a certain point, we said, "Hang on a minute. We're not really convinced we wanna build a platform that's gonna be this complex at this scale, that's gonna require this level of maintenance, and has this level of sophistication." We threw the challenge to C3 AI and said, "Guys, can you actually do this? Can you show us that your platform can manage 2 million models at scale automatically?" We didn't believe they could do it, but they surprised us. Now this is game-changing. It's absolutely game-changing for our effectiveness and our efficiency. It changes the amount of alerts that our operators are gonna see. It's game-changing in terms of our safe operations. It makes our plants more reliable. Importantly, it also plays into this digital journey, 'cause this is what prevents leaks. It's also what reduces greenhouse gas emissions, and this is massive, not just for our business, but also for the planet, and it's just the right thing to do. I sincerely believe that if we can get this right, we can have a material impact on Shell. We can have a material impact on the way in which we do work across our business, and most importantly, we can have a massive impact on our collective energy future. The United States Air Force's Rapid Sustainment Office, or RSO, is responsible for finding ways to reduce costs and improve efficiencies in the sustainment of aircraft and other weapon systems across the United States Air Force. The United States Air Force is transforming their approach to aircraft maintenance with predictive maintenance using C3 AI to predict aircraft system and subsystem failure before it happens. Here you can see how the application has been rolled out to various Air Force platforms over the last year or so, and will be employed to additional platforms going forward. Each bar represents a specific aircraft platform, B-1B, B-52, B-2, and so on. Now you can see how this unfolds in a rapid way. Let's consider the core competitive advantage of C3 AI's Enterprise AI software. The AI software market is confusing, with literally hundreds of open source and proprietary solutions that appear to be almost indistinguishable. It's all AI, right? The point of differentiation between C3 AI and all these other solutions is that the C3 AI model-driven architecture is the only solution that offers all of the services necessary and sufficient to design, develop, provision, operate enterprise AI software applications in one fully integrated, fully orchestrated, cohesive software solution. In addition, the C3 AI solution allows our customers to use the C3 AI application suite in combination with any of these third-party solutions that they might like. There are hundreds of software services that are necessary to develop and operate an enterprise AI application. Examples include data fusion, data veracity, data visualization, machine learning, data persistence, queuing, ETL, event processing, access control, N-factor authentication. The list goes on and on. All of the other solutions in the market address one or a few of the hundreds of services that are required for enterprise AI applications. The market alternative to C3 AI is for the IT organization or perhaps the systems integrator to attempt to take dozens to hundreds of these independent solutions and attempt to cobble them together into a working system using structured programming techniques. We are unaware of any such successful efforts. If you look at the whole collage of AI solutions that are out there in the market today, it's very confusing. Some of these solutions offer data visualization, or they offer virtualization or data aggregation or data persistence of different types or utilities such as encryption, access control, machine learning services, and so on. You can look at the union of capabilities provided in all these products, and that is, in fact, what we've built over the last 13 years. Some we've built from scratch, like data fusion and veracity. In some cases, we've integrated third-party solutions, for example, for R&D and VMS or N-factor authentication. The key is the C3-type system allows you to interchange any of these solutions to rapidly realize time to value. Let's look at some of these products in the AI universe in comparison to C3 AI and see how these capabilities work with the C3 AI Platform. Consider Snowflake. Snowflake is a platform and cloud independent database with a SQL interface suitable for accessing even the largest sets of structured and unstructured data. Many C3 AI customers choose to use Snowflake as a database supporting C3 AI. C3 AI provides an API to tightly integrate with Snowflake services to enable rapid AI application development and deployment using Snowflake's. What about Databricks? Databricks' core product is a distributed in-memory compute utility available in the open source community as Spark. C3 AI comes out of the box integrated with open source Spark for interactive distributed in-memory computing at no additional cost. Now, C3 AI also provides an API-based integration to Databricks at no additional cost to enable those who prefer to use Databricks in their C3 AI deployments. Let's look at DataRobot. DataRobot is an AI ML algorithm development utility with integrated AutoML capabilities designed for citizen data scientists developing usually use case AI ML solutions. C3 AI offers a competitive product called C3 AI Ex Machina that provides data preparation and data wrangling capabilities that we believe to be superior to DataRobot. That being said, for customers who have previously selected DataRobot or for whatever reason want to use DataRobot, C3 AI offers tight integration, enabling that capability at no additional cost. You wanna use DataRobot? No problem. What about Dataiku? Well, Dataiku is an AI ML algorithm development utility for both experienced and inexperienced data scientists. Our C3 AI Ex Machina product provides a superset of what Dataiku offers. That being said, algorithms developed with Dataiku can be easily imported into applications developed on the C3 AI Suite for production operation at scale. What about Amazon SageMaker? Well, Amazon SageMaker is an AI algorithm development utility for both experienced and inexperienced data scientists. We tightly integrated SageMaker so it can be easily linked into C3 AI applications or the C3 AI Suite for production application at enterprise scale. Same story for Azure ML. Azure ML is an AI ML algorithm development utility for both experienced and inexperienced data scientists. Algorithms developed using Azure ML can be immediately imported into applications developed on the C3 AI Suite for production operation at full enterprise scale. Now let's look at SAS. SAS is software built in a proprietary language for statistical analysis, typically in a desktop and offline environment. New offerings, including SAS Viya, provide cloud-based development and simple data integration and processing utilities. Customers may choose to integrate their previous developed SAS ML models exported in standard formats and imported into C3 AI applications developed on the C3 AI Suite for production operation at scale. It's capability that's available out of the box. Python. Well, Python is an interpreted high-level general purpose programming language. Its design philosophy emphasizes high levels of code readability with its use of significant indentation. Python is tightly integrated into C3 AI Suite, provided at no additional cost, and it is commonly used today by most C3 AI application developers and data scientists. How about TensorFlow? TensorFlow is an open source library that facilitates the development of machine learning and artificial intelligence models. TensorFlow is tightly integrated into the C3 AI Suite, provided at no additional cost, and is commonly used by C3 AI application developers and data scientists to develop C3 AI objects that include machine learning models. Finally, what about R? R is another open source software library that facilitates the development of machine learning and artificial intelligence models. C3 AI offers integrated support for R that is commonly used by C3 AI programmers and data scientists for application development. As you can see, there is really no trade-off here. The C3 AI Platform is a fully integrated and fully orchestrated type system or abstraction layer that consists of both internally developed and third-party capabilities that collectively fully address the application development and runtime requirements of enterprise AI applications. At the same time, the C3 AI Platform allows our customers complete flexibility to take advantage of any third-party cloud service, AI service, or data persistence service that they might prefer. It's important to understand that of the many companies that are out there in the AI universe, highly successful companies, and I think many that will continue to be highly successful, that everything that they offer to the marketplace appears as features within our architecture. Strategic partnerships are core to our growth strategy. Our strategic partnerships with market leading companies offer highly leveraged distribution channels to various markets. Our most strategic partners include Baker Hughes, Google Cloud, Amazon AWS, Microsoft Azure, Raytheon, ENGIE, and FIS. These partners go to market with us both geographically and in vertical market segments. We have a highly leveraged go-to-market model comprised of a global field sales force, combined with significant alliance partnerships that we believe will continue to accelerate our entry into a broader range of global market segments. Each of our strategic partners has a large installed customer base with strong established relationships and a large global sales force that vastly extends our market coverage. We form specific sales targets and goals with each partner, enabling us to quickly and efficiently engage together in customer accounts. We are actively engaged in joint development, joint marketing, joint selling, and joint customer success programs with Azure, Google Cloud, FIS, Raytheon, Baker Hughes, and others. We are working hand-in-hand at global scale in hundreds of joint opportunities with these partners. We have sold hundreds of millions of dollars of C3 AI software with these strategic partners to date. You can expect to see our partnering program escalate considerably in the coming quarters and years. Baker Hughes is most certainly our most strategic partner to date. When Baker Hughes first approached C3 AI, it was a GE-owned company. Baker Hughes had previously been selling GE Predix into the oil and gas markets globally. In 2019, Baker Hughes and C3 AI entered into a strategic co-exclusive relationship branded Baker Hughes C3.ai, whereby Baker Hughes would use C3 AI internally and sell C3 AI exclusive of all other AI analytic solutions, both internally developed and available in the market into the global oil and gas industries. C3 AI, in turn, agreed to go to market with Baker Hughes exclusive of all other oil and gas service companies. As part of that, Baker Hughes bought an equity position in C3 AI when C3 was a private company and guaranteed to provide C3 AI an additional $320 million in minimum cash and software revenue over the subsequent three years. Now you'll recall that in the spring of 2020, the price of crude oil dropped to -$37 per barrel. In partnership with Baker Hughes, we agreed to adjust their revenue commitments, and we expanded and extended the partnership, partially in response to this global oil disruption. As such, in June 2020, our agreement with Baker Hughes was extended for an additional two years, and the total cash and revenue commitments from Baker Hughes were extended to $450 million over five years. In October 2021, our agreement with Baker Hughes was further extended in scope and duration. As you can see, the total amount of the commitment from Baker Hughes was again increased to $495 million. Now importantly, 100% of the future commitment from Baker Hughes to C3 AI was changed to an irrevocable, non-refundable commitment from Baker Hughes as guaranteed revenue from both internal use and from sales to third-party oil and gas and petrochemical customers. To give you a feel for the success of this market partnership, in our most recent quarter, Q3 fiscal year 2022, 32% of our new sales were through the Baker Hughes C3 AI partnership. None of those sales were to Baker Hughes as a customer. This is an increase from 17% of our sales a year earlier. As you can see, this is a highly strategic relationship and of enormous benefit to the shareholders of C3 AI. The partnership began on a strong footing and has continually expanded and improved over time. Let's talk about growth. Remember, the strategy is to establish and maintain global market leadership. The first phase of our growth strategy is done. Build the underlying technology, bring it successfully to market, prove its utility. Done. We then establish C3 AI as a standard at some of the world's largest enterprises across a range of industries and geographies, including Shell, Enel, United States Air Force, Baker Hughes, Bank of America, et cetera. Our existing customers might be 5% penetrated, so we could do nothing but focus on our existing customer base, and we would have a rapidly growing business. We are landing very large customers and expanding our footprint in these customers as they license additional applications, additional users, incur additional runtime fees, and purchase additional professional services from us. Let me provide a few examples of how we grow within these large and strategic accounts. This is an example of a large integrated energy company based in Paris. Their initial contract with us was for about EUR 250,000. Today, the sum of their agreements some years later exceeds EUR 120 million. The second example is of a large global bank, one of the largest banks in the world, with about $3 trillion in assets. Their initial contract with us was for about $1.8 million. Today, the sum of their committed agreements exceeds $43 million, and this promises additional growth. This final example is one of the largest oil and gas companies in the world, where their initial contract with us was for about $300,000. Today, the sum of their committed agreements exceeds over $90 million, and we expect this to grow considerably over the next decade. The second leg of our growth strategy is our multi-tiered distribution model and our moving downmarket. Our sales organization is multifaceted. We have a geographic facet, a vertical facet, and then a market ecosystem facet. Geographically, we're deploying a North American business unit, an EMEA business unit, an APAC business unit, and we call federal a geography. Across vertical markets, which is our primary means by which we go to market, we have deployed a financial services sales group, a manufacturing sales group, an aerospace and defense sales group, a telecommunication sales group, an oil and gas group, and a utility sales group. On the third facet, we have our global partner ecosystem. Think Google, think AWS, think NVIDIA, think Intel, what have you. In each organization, we are deploying a major accounts function to establish us as the standard in the Fortune 100 accounts. We're also deploying an enterprise application sales organization. This looks very much like an enterprise sales organization at an SAP or an Oracle or a Siebel Systems or a Salesforce, where we deploy sales professionals that might have a quota of $1 million or $1.5 million. Now they're selling smaller projects in the divisions of companies, say $100,000, $200,000, $300,000, $500,000. Thirdly, we are deploying middle market sales strategies into all of these sales units selling into departments. Think telesales, think direct product sales, think online, think marketplaces. Our strategy within each vertical is to partner with a leveraged marketing partner that gives us access to that space. Let's take oil and gas. In oil and gas, we partner with Baker Hughes, a massive technology provider in the oil and gas industry. We've reached an agreement whereby they are offering our solutions, exclusive of all others, as the AI-enabling solutions to their customers. As a result, we have 12,000 people in Baker Hughes selling into Aramco, Exxon, Chevron, ADNOC, you name it. That's a lot of market leverage. If we look at the utilities, we have a marketing partnership with ENGIE, particularly for smart cities and smart companies. Think ESG. In financial services, we formed a relationship with FIS, a roughly $12 billion financial services software sales organization that sells application software to banks around the world. We formed a partnership with Raytheon, where Raytheon and C3 AI are selling arm in arm into the defense and intelligence communities in Washington, D.C. You can expect to see us expand this in every one of these verticals going forward, and you can expect to see us expand those in the vertical markets that we'll address in the future. Think travel and transportation, think automotive, aerospace, pharma, whatever it might be. In each, we will align with a strategic partner that can give us access to thousands or tens of thousands of salespeople to meet the needs of that market. In the last decade, we've put in place a powerful partner ecosystem. These partners include Microsoft, AWS, Google, Intel, Baker Hughes, Raytheon, and others. Our strategy is to continue to expand this ecosystem. Our channels are tightly coordinated. This is an example of a large oil and gas company out of Amsterdam, where we have our Northern European organization working with our oil and gas sales organization, working with the Baker Hughes sales organization, and working with Microsoft, all working together to fully address the needs of this large global oil and gas company. In this case, it happens to be Shell. As you can see, when we bring together the AI capability of C3 AI, the technical prowess of Microsoft and Azure, in combination with the domain expertise of Baker Hughes, we look like a pretty safe buy. We collectively provide the domain expertise, the experience, and the capability to assure the success of each of these deployments. Another very unusual aspect of C3 AI is the rich human capital that we have assembled. If you look at the Board of Directors, this is a company with a very mature and robust governance model, whether you're dealing with Bruce Sewell, who was the General Counsel at Intel and Apple, or Secretary Condi Rice, or Rick Levin, who is a world-famous economist and President Emeritus of Yale, Mike McCaffery, the former CEO of Robertson Stephens and the CEO of Makena. These are experienced professionals who have been on the boards of some of the world's leading corporations. Take a look at the management team. These are adults. These are tried, tested, and proven professionals who have deployed multi-tiered distribution strategies involving large partner ecosystems in large and emerging marketplaces and established clear global market leadership positions. These are people who know how to execute these plays that I've described to you. In terms of company recognition, there is no award the company has not received, be it Entrepreneur of the Year, Top CEO, Cloud 100, Disruptor List, you name it. The award that I am personally most proud of is the Glassdoor Best Places to Work award. If you look at Glassdoor, we are consistently ranked amongst the best places to work in the world. There are many comments out there. Take a look at it. You'll get a feel for our unique corporate culture. This is a very high-performance, customer-oriented, results-oriented culture. To talk about our financial performance, let me introduce our very talented chief financial officer, Juho Parkkinen. Hi, my name is Juho Parkkinen. I'm the CFO of C3 AI, and I'm here to talk about our financial model and financial results. Our business has been growing at a healthy pace. Our most recent quarter results displayed strength in all aspects of our business. We have had a healthy revenue growth driven by substantially increased sales momentum, expanded customer entity count, increased industry diversification for our innovative AI products, and further recognition of our technology leadership in this industry. I believe C3 AI is on track to establish a global leading market position in enterprise AI. I'm also confident in our long-term prospects based on our accelerating progress and the magnitude of the addressable enterprise AI market opportunity. In the first quarter of this fiscal year, we grew revenue 29% year-over-year. In the second quarter, 41%, and in the third quarter, 42%. By any standards, I believe our growth rate is in the top decile of rapidly growing enterprise software companies. Consensus analyst expectations for FY 2022 reflect revenue growth of 38% over fiscal year 2021. Our customer base has grown 82% year-over-year. Our RPO increased by 90% year-over-year. Let's look at the financial results. As an enterprise software company, the majority of our revenue, or 83%, is in the form of subscriptions, and 17% is recognized from professional services. This will vary from quarter to quarter, but we are most certainly a subscription software company. Within subscriptions, we recognize revenue from our C3 AI Suite, AI applications, and our premium support services. Runtime fees that correlate with the usage of our platform and consumption of our applications is also included in subscription revenue. Our professional services align with the initial setup of our software, our training, and then our efforts to make our customers self-sufficient and successful. An interesting element of our financial model is how we go to market. We will be expanding geographically, but equally important, we will be expanding with market partners. This is an important dimension of our business as it provides us with substantial leverage as we grow and scale our company. Let's talk about where we're headed on our path to profitability. As we reported in our Q3 of fiscal 2022, C3 AI enjoys a non-GAAP gross profit margin of 80%. Our purpose in participating in public markets was to raise capital to invest in market leadership through continued technology innovation, brand equity, and increased sales and distribution capacity. Consistent with that strategy, C3 AI has been investing 40% of revenue in R&D to maintain and extend technology leadership and 49% in branding and sales expansion. This is all about achieving our primary goal, establishing and maintaining a global market leadership position in enterprise AI. As the company continues to expand, we expect to realize significant economies of scale in R&D and sales and marketing, allowing us to operate at a 20% non-GAAP operating margin in the coming years. Since we have gone public, we have maintained cash equivalents, and investments of slightly over $1 billion. We are well-positioned to continue to invest in our growth in the coming years. Thank you, Juho. Now let me take a minute and talk about the overall investment thesis at C3 AI. We have a huge addressable market. C3 AI has a significant first-mover advantage. We have a highly differentiated, very substantial, patented, protected information technology platform that is tried, tested, and proven at the largest enterprise scale. We have put into place a large and powerful and rapidly growing market partner ecosystem. We are broadly recognized for our AI market leadership and thought leadership. We have a proven track record of success across multiple use cases, multiple industries, and multiple geographies. We have an extraordinary talented, veteran, disciplined management team, all encompassed in an extraordinarily high-performance corporate culture. In summary, let's assess the investment risk. We have a huge addressable market opportunity, almost $600 billion. I think there is very little market risk. The competition is build-it-yourself. I think the competitive risks in the short to medium run are minimal. There is no technology risk. The technology is tried, tested, and proven at the largest enterprise scale. Fundamentally, this boils down to execution risk. Does our human capital have the experience? Do they have the skills? Do they have the knowledge? Do they have the insight to build a multi-tiered global distribution network that encompasses and takes advantage of a large and growing partner ecosystem in a manner to support thousands to tens of thousands of customers in perhaps hundreds of countries? In doing so, do they have the skills to establish a clear market leadership position in enterprise AI? I am confident that we have the team to execute that plan. If we continue to be successful, we will have built one of the most important software companies in the history of information technology. Thank you for your time.