Hello everyone, my name is, and today I'm excited to share our journey and insight on machine learning and system modernization. A critical topic for 2025 and beyond. We are living in an era where technology evolves faster than our nation can adopt. Legacy system legacy that once served us well, have now become barriers. It. If we modernize, but how fast, how smartly we can do it. Today, 60 to 80% of IT budgets are consumed. Just maintaining whole systems. That leaves very little room for innovation and even less for competitive differentiation is not. Servers are moving to the cloud. It's about rethinking the way business operates, making system smarter, faster, and most importantly, feature proof. Without modernization, organizations face air costs slower response to the market changes and frustrated customers and employers. So legacy modernization is essential in today's digital landscape organization. Face technical, operational, and human challenges while balancing system reliability With modern capabilities, including cloud AI and advanced analytics, we shall explore the strategic approaches. Performance considerations and implementation methodologies for successful moderation. Focusing on based implementation, stakeholder management, and technology integration that maintains system stability throughout the transformation. Okay, let's talk about the strategic overview and challenges. Modernizing is tough. There are three big challenges. The first, the financial burden. Big transformation requires investment before you see returns. Legacy system, 60 to 80% of IT budget severely limiting resources for digital innovation and competitive growth initiatives. Second, the. Legacy process and organizational culture resist transformation. Three quarters of organizations identify outdated infrastructure as the critical roadblock, preventing deployment of modern digital services and capabilities. And the third balancing performance and innovation Legacy systems, 99.9%. Lack essential agility, effective modernization strategies, maintain operational stability while introducing advanced technology capabilities. So we must keep critical systems stable while introducing newer, riskier technologies like AI and real time analytics. It's like fixing an airplane. Where while it's still flying. Let's talk about the numbers. Imagine slashing cash cost by up to 30%, improving system response by 60% and boosting market adapt by 35%. That's the moderation. Promising success is not technology alone. Its. Tangible business outcomes like adaptability and customer satisfaction. So do we measure success. In modern, we use clear hard metrics, 15 to 30% cost reduction. Successful moderation project typically achieve significant operational cost savings, 40 to 60% faster System responses, improvement in system response. Time after successful modernization, 25 to 35% better adaptable to market changes. This will enhance ability to respond to market changes and customer needs, and aiming for 99.9% system availability. Nearly perfect time. So maintain throughout the transition is successful transformation. So these are not just big goals. Their directly impact customer experience, revenue, and long-term survival. If we talk about the performance architecture considerations for current legacy and modern system, and we will talk about the impact assessment. So architectural discussion today determine whether we through tomorrow scalability, the silence. And flexibility must be at the heart of every edition. Hybrid cloud, microservices and ation are no longer buzzwords. They are the building blocks for a responsive enterprise. If you look at the moderation aspects, if we compare with current legacy and modern system. The transformation transition processing the legacy system, it is handling 1 million transaction per day with 99.99% reliability. And if you can, if you see that modern system, 40 to 50% better resources, utilization, that really the impact is high positive impact on response time, milliseconds response time. But if you use the modern system, it's gonna be 65% faster time to market, significant improvement, operational costs, baseline costs, and then it's gonna reduce 40% in modernized system. Major cost savings over here. Let's talk about cloud migration patterns. Moderation also demands rethinking of technical foundations. We prioritize scalability, the silence, flexibility. So scalability system that can grow as business grows. The silence system that recovers instantly from failures, flexibility system ready for ai, automation and feature tech. So cloud migration plays a massive role, but migration. Is not just lift and shift, we carefully choose between rehosting, replatforming, and refactoring based on business needs. Choosing the right migration pattern ensures we are not just moving problem to the cloud, we are solving them. The six R approach provides a structured framework for moving advocacy applications to cloud environments. Organisms carefully evaluate each application against these patterns. Considering factors such as business criticality, technical dip, and required performance levels, the strangler big patterns has emerged as a particularly effecti. Replace legacy functionality while maintaining system stability. It studies showing successful implementation, achieving a 30 to 40% reduction in risk compared to the big Bang approaches. If you see the user experience and change management. Technology alone does not drive success. It's the people. A shocking 70% of digital transformation fail because of poor change management, not poor technology. To overcome this, we focus on gradual interface improvements, 80. Success rate when organization implement incremental changes to user interfaces, allowing for adoption and feedback change champions. So 80% of success rate when organization like change champions compared to just 30% success without dedicated adoption leaders complete system or. Only 35% success rate with all at one system changes, creating significant disruption and adoption challenges. And the last one is dig digital adaptation platforms, organizations implementing comprehensive digital adaptation platforms experience 50% user adoption rate. 45% reduction in support tickets. If we don't manage that well, even the best technology will be rejected. Training and supporting strategies, training should not be an afterthought. It should be embedded into the modernization journey from day one. Documentation and interactive feedback loops creates self-sufficient users and drastically reduce support costs. Comprehensive training, interactive e-learning modules, and micro running segments, and modern documentation like videos, tutorials, and interactive guide. Chain champions, network advocates across departments and feedback systems, real-time user input channels. So organization implementing real-time feedback system report, a 65% implement in system usability and user satisfaction. Modern documentation approaches including video tutorials and interactive guides, 75%. Better knowledge retention compared to traditional methods. Okay. Innovation, integration and technology. So mission learning and are becoming the heart of modernization. We use AI to predict customer behavior. Optimize operations detect an in real time. Meanwhile, the other microservices architecture breakdown mono system into smaller dependent parts, making them more flexible and silent. Also embarrass embracing mobile first and self service. Technologies empower customers and employees reducing operational cost and boosting satisfaction. The AI mission learning organizations implementing AI driven analytic experience, 25 to 30% implement indecision making accuracy, and three by percent reduction in processing time for complex transactions. 45% higher success rate with the structured approach. If you take it, mobile and self services organization, prioritizing mobile first approaches achieves 55% higher user engagement rates, 45% increase in service accessibility, and 30% reduction in support costs. So microservice architecture organization adopts microservice, Experian, 33% I improvement in system flexibility, 28% reduction in deployment type. 40%. Integration issues, fewer integration issues, migration and strategy and implementation. Risk assessment, when is going to be 65% fewer critical incidents and phase implementation. It's gonna be three x higher success rate and integration patterns. It'll reduce 50% reduction in downtime and AI assisted testing. 75% more issues identified redeployment itself. While 94% of organizations acknowledge the need for legacy system migration, only 25%, 28% report successful completion of their modernization project. Organizations leveraging large language model. For code analysis and documentation achieved 45% faster migration planning, and 60% more accurate dependency mapping, stakeholder management and value delivery. So the comprehensive RO 80, tracking the organizations implementing value tracking framework. 2.5 times higher stakeholders buy-in, and 40% better resource allocations and realtime progress visualization organizations utilizing realtime progress visualization tools achieve 70% better alignment between technical teams and business stakeholders. So to the performance monitoring. Organizations implementing comprehensive performance monitoring framework identify 60 per 65% more optimization opportunities and achieve 50% better business outcomes and the long-term support. Planning organizations with well-defined support strategies achieve 45% better system sustainability and 35% lower total cost of ownership. Okay, so what are the takeaway, key takeaways, and next steps? Let's wrap up with the a few takeaway. Few key takeaways. Balance, stability with innovation. Do not sacrifice one for the another, so ensure continuous operation while introducing advanced capabilities. Through strategic planning and methodological implementation phases, prioritize people, not just technology. So invest in change management, such as in cloud solutions. So we need to allocate 15 to 20% of your moderation budget to comprehensive training programs, technical support and adoption acceleration in situs. Measure success holistically, cost savings, agility, adaptability, and user satisfaction all matters. So when we implement robust tracking of both the technical performance metric and the business outcome, to demonstrate tangible ROI and sustain executive stakeholder commitment. The last one is adopt face phased approach. It should be a phase adopt phased approach, not a big bang approach. Transformation is a marathon, not a sprint. So execute migration through strategic incremental steps with well-defined success milestones to. Threefold higher success rate compared to all at once implementations. So moderation is not just a tech project, it's a business evaluation strategy. Thank you all for your attention. Mission learning and moderation are not just futuristic trends. They are the foundation of sustainability, silent and innovative enterprises. I look forward to discuss discussing this more during the session. Thank you.