Thank you, Mike, and good morning, everyone. It's a pleasure to be here with you all, and I look forward to seeing many of you again in just a few weeks at our Investor Day in Boston. Today, we are pleased to share another quarter of strong results as we close out a very successful 2025 and continue to execute our long-term growth strategy, further positioning ourselves to win in the AI native area. We are confident of our unique differentiation and look forward to building on the momentum we created throughout 2025. At the start of last year, we noted that for us it was going to be a year of transition. In fact, today marks my second earnings call and my very first year-end report, underscoring the fast pace at which we continue to operate and adapt to conditions both extraordinary and operational here at EPAM. As we look ahead to 2026, we see a year of AI momentum marked by our clients' ongoing shift in spending towards AI investments and strategic deployments. Importantly, we expect to build on our growing momentum in AI native services, supported by our AI foundational services that enable clients to scale AI across their enterprises. These offerings are becoming a more substantial piece of our total services mix, illustrating our ability to capture higher volume and more strategic opportunities as AI investments accelerate across the market. Let me share why we believe EPAM is positioned to win this new AI native services category. While we are seeing measurable productivity gains at scale, we are also seeing complexity dramatically increase at faster pace than we have seen in prior cycles. Clients are facing growing pressure to continue to invest in AI, and that means platform modernization, data and cloud foundations, security and critical AI-native upskilling. As a result, AI presents a favorable opportunity for EPAM within the build versus buy value proposition. EPAM continues to be positioned in this sweet spot as we believe we are entering an age of building. With our internal AI-native engineering transformation nearly complete, we are now shifting to develop more verticalized AI-native business offerings and consultancies. This positions us to deliver a strategy and execution to clients simultaneously, helping them build their own AI native businesses and platforms. Before getting into details, I would like to quickly reflect on a few things from the past year, which highlight our differentiated position and underpin our confidence as we continue to grow our revenue and improve our bottom line trajectory over the long term. First, we believe we have clearly demonstrated and we'll continue to demonstrate that we're positioned to win in the AI native engineering category or advantage comes from our highly differentiated engineering and AI-native talent, along with the tooling and workflows that enable us to deliver production grade at scale. Notably, in Q4, we generated more than $105 million in pure AI native revenues, where we continue to see solid momentum and strong sequential growth. As a reminder, our AI native revenues are defined across 2 groupings, number one. AI native IP products, platforms and solutions where AI was the core of the solution versus simple work accelerated by the use of AI tools. And number two, AI-led transformation initiative across the entire enterprise. Importantly, our definition excludes all the [ IF ] foundational services along with any AI assisted work performed by EPAM employees within the software delivery life cycle. Looking ahead, we continue to see robust demand for our AI native services and expect to scale these revenues in excess of $600 million in 2026. Second, our developers and builders DNA forged by over 30 years of experience in custom software product and platform engineering, prepare us incredibly well for this new super cycle to stay ahead of the curve. We expanded our 3-year AI readiness mandate to keep pace with advancing technology new agentic delivery and new commercial models that help us meet our clients where they are to enable their unique AI journeys, even under extreme geopolitical and macro adversary or business model and brand of very high quality and execution have persisted and today give us a leading edge on AI strategy and delivery at scale. Third, we are supercharging our client 0 mentality by extending AI capabilities across our entire business. We have been pioneers builders and change agents in transforming the software delivery life cycle and advancing the [ AI ] maturity model with talent IP and the ways of working. Now we are adapting our go-to-market approach for a more AI-centric environment, focusing on industry and verticalized expertise and innovating engagement and commercial models to adopt new and emerging trends. We are transforming the way we engage with existing and new buyers, expanding our market growth opportunities across all regions and buyers personas. Our most recent announcement of empty lab expansions demonstrates this AI-native momentum with our proven AI native agency now expanding to help CMOs across North America become the growth [indiscernible] tax for their businesses. We are bringing AI-powered creative talent, accelerators and innovation frameworks to the business of marketing. We will be sharing much more on this at our upcoming Investor Day in March. Finally, our strategy is being validated by the market and our partners in a significant way that underscores our unique AI native capabilities. With Microsoft, we were thrilled to be named the 2025 Microsoft Innovate with Azure AI Platform Partner of the Year. With AWS, we are recognized as 2025 AWS Global Innovation Partner of the Year. With Google Cloud, we launched several advanced AI agents on Google Cloud Marketplace. Most recently, we announced a strategic partnership with [ Cursor ] to build and scale AI native teams for global enterprises. Beyond partnerships or technical [ acumen ] is recognized by independent benchmarks. EPAM's [ AIron ] developer agent was recently ranked in the top 5 on SWE bench verified leaderboard an industry-leading benchmark designed to evaluate large language models and AI agents on real world software engineering tasks. Furthermore, Gartner has positioned us as a leader in the emerging market quadrant for generative AI consulting and implementation services, further solidifying our standing as a trusted guide in this complex landscape. Now let's turn to some Q4 highlights. Our fourth quarter results came in better than expected, marking another quarter of outperformance. In Q4, we delivered double-digit revenue growth, including solid year-over-year organic revenue growth of 5.6%. Our underlying growth momentum remains broadly intact, with 5 of the 6 verticals growing year-over-year and 4 out of the 6 verticals growing organically. Notable standouts included financial services, emerging verticals and software and [ high tech ]. Across geographies, [ EMR ] delivered strong year-over-year growth, followed then by the Americas and APAC. We continue to add talent across all key geographies. Now turning to the demand environment. Overall, the client sentiment remains intact with no material change over the past 90 days. AI continues to trigger both incremental and sustained demand and is driving positives in our pipeline. Based on our current visibility, we expect client budgets to remain relatively intact in 2026 compared to 2025 with the continued shift in spending towards scaled AI deployment. Even with the progression of AI towards larger programs, there is a growing emphasis on ROI and the need for scalable enterprise-grade solutions. While these are larger programs naturally introduce a more mature procurement process, including RFPs and a modest extension of sales cycle, it also represents a larger opportunity for EPAM to deliver even greater volume through bigger and more strategic, higher impact initiatives, something we are observing in our sales pipeline today. Now turning to our AI progress. EPAM is uniquely positioned to guide clients through the market towards AI-native transformation. We continue to invest in people, accelerators and advanced tooling to capitalize on our expanding growth opportunities. As a part of evolution to a pure-play AI native company, last quarter, we launched our [ AI on Transform ] playbook and frameworks, along with our AI native business transformation offering. Together, [ AIron ] for SDLs and [ AIron transform ] are the building blocks for our IP-enabled go-to-market strategy and I'm pleased to say both are picking up early adoption in 2026. These frameworks and tools support the hundreds of AI native projects we had active in Q4. In line with last quarter, between 60% to 70% have expanded from initial proof of concept into larger programs, a clear indicator of our ability to scale AI native solution into production and convert early wins into more meaningful revenue. Incremental and highly connected to our AI native services is our AI foundational services, which encompasses the critical AI readiness and preparation work for our clients are undertaking. Demand for these services remain quite strong, and the size of this portfolio is already significantly larger than our pure AI native revenue base. Once again, in Q4, we saw outsized growth in both our data and cloud practices compared to the rest of the business. Now turning to some client examples to illustrate the impact we are making. EPAM partnered with [ ASCO information services ] to enhance software development processes using the [ AI run ] transfer framework. EPAM played a critical role by providing AI guidance, helping to establish governance framework and building an adoption dashboard to measure real-time performance metrics. Through each phase of the rollout, EPAM and ASCO maintained a strong emphasis on measurable outcomes using the dashboard to track metrics such as [ Velocity Cycle ] could review lead time, AI impact and productivity gains. In addition to measurable productivity gains, [ Asco ] also established a robust foundation for future continuous improvement in the use of AI development tooling. [ Bayer ] partnered with EPAM to develop an AI-powered pricing tool that optimize pricing strategies across 35 countries. Leveraging machine learning, the tools delivered EUR 20 million to EUR 30 million in incremental yearly profit, reduced analytics time by [ Tenex ] and provided advanced scenario planning capabilities. This collaboration transferred [ Bayer's ] pricing processes, enabling smarter data-driven decisions. We've also seen compounding value of our long-term trusted partnerships with our clients like [