Thank you, Peter and to everyone who's joining today's call. It's terrific to see how well the team performed in 2023. The organization responded to our new go-to-market strategy, and we finished the year with a very strong Q4. We continue to deepen and expand our client relationships. We've been doing a terrific job, I think, of applying Gen AI to introduce innovative industry-changing technology. And we generated a good mix of growth and cash flow, which Ken will discuss in more detail in a few minutes. This year continued the important themes we've been talking about. And I'm more convinced than ever, there's still amazing opportunity for growth within our client base. And I'm confident in our org focused deep engagement model. I continue to engage with our most senior clients, most recently in Davos for the World Economic Forum annual meeting. And I talked to dozens of C suite clients and partners about how they're responding to change, their business opportunities, the challenges and plans for 2024 and beyond. AI is still central to almost every client conversation, as they continue to try to understand and explore where and how to leverage AI effectively and safely in their organizations. And we're showing them how Pega can help. these conversations reinforce for me that what we have is unique and perfectly suited to enterprise needs. I couldn't be more excited about the incredible opportunity to leverage Gen AI and revolutionize the way clients use our technology to drive success in 2024 and beyond. Let me tell you why Pega is perfectly positioned to help clients deliver on the Gen AI opportunity. Since our founding, we've been incorporating the principles of AI generally, statistical as well as in our generative, into our offerings and really focused on building products designed for the needs of the sophisticated enterprise. Our clients come to us because they want to transform their businesses become more efficient, more profitable, or improve loyalty, creating better experiences for their customers and employees. And our enterprise AI decisioning and workflow automation platform enables clients to unlock business transforming outcomes, with real time optimization and continuous improvement. You can find great case studies on our website that explain how our clients are using the software to, one, improve customer engagement by customizing conversations real time and at scale. For instance, Wells Fargo describes how they're using our customer decision hub to provide targeted and relevant responses to the billions of interactions they receive monthly from customers. Secondly, to enhance client service through AI-powered guidance that delivers amazing experiences for customers' employees, boosting loyalty, supporting retention and driving down costs. Aflac describes on the website how we're simplifying and automating the processing of thousands of emails per week [indiscernible] resolution, improving customer employee satisfaction. And finally, what we've always done, streamlining operations by automating operations with intelligence. This is what Lloyd's talks about, automating their business processes to resolve fraud and dispute cases faster and more effectively, even while on the phone with the client. These results are what matter to our clients. They're looking to transform their businesses, not simply crank out more code. So when we apply Gen AI, we're not using it to generate code. We're using it to optimize the business concepts, adhering to best practices, for example, suggesting the most efficient and effective way to process a mortgage or insurance claim, or how to create the best offer and marketing treatment for our client. We have a unique structure built around business concepts and enterprise to process rules, data models, UI, all of those are organized into layers, so they can be built on, reused and specialized to support the needs of different product lines, customer segments, or geographical jurisdictions that an enterprise might need to manage. This layered architecture is the perfect architecture for Gen AI. And what I believe is Pega unique advantage because we use the Gen AI not to write code, but to directly author and control and influence the business concepts themselves. This unique layer cake architecture has enabled us to develop, integrate and deliver new Gen AI capabilities and services very quickly. And it's based on a patented architecture that we've studied and evolved for decades and can't readily be copied or reproduced. I think this gives us a clear competitive advantage. In terms of our strategy for this year and next, there are four major areas we believe our approach to Gen AI will drive a massive impact for our clients and for Pega. First, we're looking to double developer productivity in Pega, with Pega skills always at their fingertips. Second, we're looking to ignite enterprise innovation by being able to bring together industry expertise, Pega technology, the wisdom of the internet, and our clients' insights. Third, we're looking to try to maximize revenue and efficiencies for our clients by giving them real-time optimization and personalization of customer interactions and making it, so that they can continually optimize. And finally, being able to streamline work processes and customer experiences by giving the right people instant access to the right real-time systems and capabilities, so they can literally get the work done. Let me tell you how we're delivering on the strategy today and what to expect in the future. Now we started by introducing 20 Gen AI boosters as part of Pega Infinity '23 in the fourth quarter, supporting our goal of improving developer productivity and showing our clients how these tools can be used safely and responsibly. We launched an interactive demo on our website that lets clients immediately experience the power of our Gen AI capabilities. You went through the description of a business process you want to optimize and Pega Gen AI helps you design the optimal processes, the stages, the steps, the data model, the user personas, all in seconds. It's available to any of you. Since its launch, thousands of visitors have experienced the demo and doing workflows from client onboarding to 5G network rollout, and we're hearing terrific things. Do, get on, trying it yourself. And in the last few weeks, we announced two new powerful offerings that I think are going to be game changing. The Pega GenAI Knowledge Buddy and the Pega GenAI Blueprint. The Knowledge Buddy is an enterprise grade generative AI powered knowledge assistant to quickly and easily help customers and employees get specific answers based on a company's own content. But since it's synthesized by generative AI, so employees don't have to search across siloed and scattered knowledge bases. Now there are lots of Gen AI based assistants in the market that ingest content or answer questions. But when we looked at them, we think that they're generally not built for true enterprise needs. So we've designed a product that is fortified with enterprise grade integration, auditing and controls. It puts organizational knowledge at employees and customers fingertips, allowing them to ask questions through simple conversational interfaces, and get specific, accurate and concise responses with transparent attributions to where the source content is coming from. We're using Knowledge Buddy to embed all the Pega documentation and support library into our design environment, so developers can easily find answers about how Pega can make them more productive and operate faster and with less training. This powerful combination of our innovative AI architecture with security features means that our clients can use this latest technology and feel confident and safe, knowing they're adhering to high standards of trust and responsibility. And just a few days ago, we announced something I think is going to be truly remarkable as it develops. It's the Pega GenAI Blueprint. This is a collaborative SaaS application that automates enterprise grade workflow application designs to catalyze enterprise innovation and significantly increase developer productivity. I'm going to ask Kerim Akgonul, our Chief Product Officer, to tell you about this groundbreaking product. Kerim?