Thanks, Chris, and hi, everyone. Thanks for joining us today. Teradata delivered another solid quarter in Q3. We continued to steadily advance in our transformation as a leading cloud analytics and data platform. I'm pleased with our market momentum and the team's consistent execution and I'm grateful for the trust placed in us by our customers and partners. In the quarter, total ARR grew 11% year-on-year sequential total ARR dollar growth was $14 million in constant currency with positive contributions from both cloud and on-prem subscriptions. Customer demand increased as enterprises continued to utilize our modern platform and helping them drive business critical insights. We grew cloud ARR 63% year-on-year against a very strong Q3 last year. We grew cloud ARR in all regions through a balance of migrations and expansions. Cloud ARR is now 30% of total ARR, up 10 percentage points year-over-year. Our cloud net expansion rate was 123%. We are seeing continued strong interest and pipeline growth in VantageCloud Lake. With execution across the organization, our continued market momentum and disciplined cost management. We delivered non-GAAP earnings per share of $0.42, which grew 38% year-over-year. I am proud of the team's performance, and I'm very pleased with our innovation that position Teradata to lead in AI and particularly trusted AI. I'll start there. At Teradata, we believe people thrive when empowered with better information, our analytics perform with speed to deliver better insights that drive more confident decisions. While interest in AI is accelerating, a key to AI success is being able to trust in the data, which has put Teradata has always pervaded. We strongly believe that our best-in-class cloud analytics and data platform, that levers harmonized data, trusted AI and fastener innovation for better decision-making. That convection data does in our recent acquisition of Stemma, which adds AI-enhanced data search and exploration is aimed to bring greater value to our analytics by making data easier to find, use and trust. We expect that these capabilities will help Teradata deliver an enhanced user experience and advance our roadmap in data lineage, governance and compliance. With semantic mapping to help users understand the context behind the data. Our industry recognized strength in analytics and complex data management is driving our momentum and we are seeing high interest in our AI/ML and advanced analytics capabilities. Enterprises everywhere are investing in AI and potentially generative or GenAI which will create massive enterprise value. As companies look to benefit from GenAI, we are seeing them explore use cases that are well aligned to our core value proposition and that we are already addressing today. These include improved business performance with democratized insights from across the organization, knowledge workers can more quickly step through mountains of data and make better decisions by asking questions and claim language with those they need to code. Hyper contextualized customer experiences as organizations use analytics to better anticipate customer needs, develop more relevant recommendation engines and create more authentic interaction to improve engagement and loyalty. And also delivering faster product innovation, team technology team can automatically generate code, thereby accelerating innovation and reducing operational expenses. In collaboration with IDC, we recently conducted a survey of enterprise executives that validates the opportunity with AI. That survey revealed that more than half of the main 100 respondents feel a high or significant pressure to integrate GenAI within their organization in the next 6 to 12 months. However, only 30% feel adequately prepared to leverage GenAI today indicating a significant gap that needs to be bridged. With years of expertise in the AI domain as the trusted data platform for the world's largest and most complex organizations, Teradata stands as a go-to platform for AI enablement which we believe provides one of the most cost-effective solutions, proven performance and flexibility to innovate faster enriches customer experiences and delivers greater value. Our technologies are designed to not only facilitate the AI journey, but also accelerate the realization of value. We are in an outstanding position to help enterprises maximize their AI opportunity from our cloud-native VantageCloud Lake with its exceptional data management capability and workload efficiency to ClearScape analytics or robust analytics capabilities in VantageCloud, which make it easy for businesses to get more AI models into production faster and to rapidly scale the usage of those models across an organization. At the beginning of Q3, we announced Teradata VantageCloud Lake on Microsoft Azure, as I mentioned on our last call, our cloud-native architecture is now available on both AWS and Azure globally and offers the enterprise scale our customers need including end-to-end support for AI and ML. We are already helping customers deploy trusted AI solutions intended to drive business outcomes. An exciting announcement in the quarter was our introduction of Teradata ask.ai, our new GenAI capability for VantageCloud Lake, this GenAI interface is designed to allow anyone with approved access to add natural language questions and receive instant responses from VantageCloud Lake, by reducing the need for complex coding and querying Teradata as AI can dramatically increase productivity, speed and efficiency for both technical and now non-technical users as well. We announced new model [AUX] [ph] capabilities in ClearScape analytics, which also helps accelerate AI initiatives. These no-code capabilities enable customers to quickly scale AI and advanced analytics with enterprise governance, including bring your own model now with no code capabilities. Allowing our users to deploy their own machine learning models without rating any code, thereby simplifying their deployment. Advanced model governance capabilities and robust explainability controls to ensure trusted AI and automatic monitoring of model performance and data direct with zero configuration alerts. Additionally, we recently introduced powerful API integration between open AI and Azure open AI. With these LLM capabilities and ClearScape analytics, customers with large volumes of tech data, such as product reviews, transcripts from call centers or medical interactions are enabled to transform that data into analytic outcomes. This can lead to improving the customer experience, reducing churn and risk or preventing fraud to name a few. These new integrations highlight our commitment to help customers unlock future value from their data by leveraging their full analytic ecosystem, including GenAI and large language models. We showcased these innovations in the quarter as we executed a series of customer and partner events in all regions. I was extremely pleased with the input from customers as we shared how they are running their business on Teradata. Along with the customer presentations and conversations at our event, it was also great to meet and speak with many prospective customers. Each event had a strong mix of prospective accounts demonstrating Teradata's increasing market traction and interest. We also had hundreds of alliance partners join us and sponsor from Accenture to Microsoft, AWS, Dell and more. Attendees said they were energized by how trusted AI and harmonized data can accelerate business value and power innovation throughout their organizations. During this global event series, we met with a number of external analysts, it's great that the broader community is seeing Teradata as increasingly relevant and well-positioned versus the competition. Many analysts noted that customers are telling them, our platform and innovation roadmap are differentiated and supports their needs, by the cloud, multi-cloud or hybrid. I was also pleased to receive the positive feedback on the transformation of our brand. Our marketing organization leaned in and introduced our modern customer-centric and innovative brand that represents the trusted value we bring to the world's leading organizations. We are going to keep up the pace to ensure that our differentiated position is clear to the market. As I stated, we had very good growth in the quarter. Let's look at a few customer examples. A multinational manufacturing company based in Europe as a new Vantage cloud customer. That customer spoke at our London Possible event and shared that the selected Teradata analytics to improve decision-making through AI as it works to offer more safe and sustainable products every day. It has invested with us to implement innovative AI projects that accelerate time to value for its customers. Our world leading banking group has renewed its confidence in Teradata with its first step to the public cloud, adding VantageCloud Lake on AWS for its retail banks for sales monitoring customer segmentation, risk management and financial reporting. This customer also added VantageCloud Enterprise on AWS for finance and risk regulatory purposes. This win was in partnership with Accenture. We gained a new low at a government regulator in India to support its compliance reporting with requirements. This is our first converged infrastructure customer win in Asia Pacific through our strategic partnership with Dell. Our track record of reliability, performance and competitive pricing led to this win. And a leading global financial services group based in Japan is using VantageCloud and ClearScape analytics to execute large-scale AI models. This long-term customers data science team relies upon ClearScape analytics functionality for its many applications running on our platform. Along with bringing tangible business value to our customers, our partner first momentum accelerated across our partner ecosystem in the quarter, a spotlight of our strong collaboration was educating hundreds of Accenture employees on our joint offerings to help our mutual customers exploit AI. In parallel with our global motions, we have grown our partner ecosystem by 20% year-to-date. Adding new vertical ISVs and regional SIs aligned to Teradata's industry use cases. We are aligning our investment envelope to our strategic initiatives and continuing our progress as a cloud-first profitable growth company. We will continue to take actions like winding down our direct operations in China that will accelerate our growth trajectory and advance our innovation engine. We're on track to achieve our 2023 outlook. We're looking ahead to 2024 with optimism and are firmly on track to achieve our target of more than $1 billion of cloud ARR by the end of 2025. Now I will pass the call to Claire.