Hello everyone. This is Kumar. I have about 20 plus years of experience in the IT industry, working as a lead software engineer at Mini of Technologies. Prior to this, I worked at IBM and TCS. Today I will be discussing the topic, observability driven return on investment, unifying multi-cloud data for actionable intelligence. In today's rapidly evolving digital landscape, most of us are operating in a cloud environment. This brings incredible opportunities, but also significant challenges, particularly when it comes to integrating data across those different cloud platforms. In this session, we'll explore how to turn multi-cloud complexity into. A powerful competitive advantage. We'll demonstrate how our comprehensive framework delivers measurable business outcome. By leveraging AI driven automation to reduce complexity and cut expenses, we'll also show how organization using our approach have optimized cross cloud data pipelines with decreased latency. Enabling faster decision making through real time insights. By the end of this presentation, you will understand how leading enterprise are achieving substantial ROI through effect two multi-cloud data unification. The multicloud reality 87 percentage of enterprise are using multicloud platform. This highlights the widespread recognition of the benefit of the multi-cloud. Things like avoiding vendor lock in, optimizing cost by choosing the best cloud for each workload and increasing the resiliency. However, this widespread adoption comes with challenges. 42 percentage of organizations face a significant cross cloud data barriers. Think about the complexity of the how data spread across AWS is Azure Cloud and Google Cloud and may be even some on-premises systems. The good news is that optimized integration can lead to significant benefits organizations see. On average, a 63 percentage of reduction in cloud expense with optimized integration. This is from the things like eliminating data duplication, automating process, and making more efficient use of cloud resources. Furthermore, effective cross cloud pipelines, acceleration making, we see a 78 percentage improvement. This critical in today's fast paced business, then being able to react quickly to changes in the market can be a major competi to advantage. Our research clearly shows that while cloud. Adoption continues to accelerate. Many organizations struggle with integration barriers that prevent them from realizing the full potential of their cloud investments. That's where our framework comes in business outcome. Across industries in healthcare, we have seen organizations achieve a 99 percentage of HIPAA complaints rate. We also see a 73 percentage reduction in the patient data retrieval times leading to enhanced care coordination through unified records. Imagine the impact on patient care when doctors can access complete and up to date information quickly and easily. In financial services, our framework has enabled 82 percentage faster fraud detection. This translates directly to significant cost saving and reduce the cost real time. Cross cloud analytics, improve customer risk assessment, allowing for more information station about lending and investment. Finally, in the government sector, we have seen 91 percentage improvement. In data sharing, this leads to enhanced security protocols and streamlined citizen services. Think about how much more efficient government agencies can easily share information and collaborate. These outcomes clearly demonstrate that effective data integration strategies deliver measurable improvements in the efficiency. Complaints, security and customer experience, AI driven integration framework. Let's dive into a core of our solution, our AI driven integration framework. This framework is designed to a dramatically simplifies cross cloud integration by leveraging the power of artificial intelligence. The foundation is built on standardized connectors. These are prebuilt and custom API integrations that enables seamless communication between different cloud platforms. Think of them as a universal translators that allow different systems to talk to each other regardless of their technology. Adaptive security is another critical component. This involves automated complaints and threat detection, continuously monitoring and responding to changing security and complaints requirements. In today's threat landscape, this level of proactive security is essential. Finally we have intelligent orchestration. This is where AI comes into automatically optimize workflow based on real time performance metrics and business needs, the system lens and adapts ensuring that your integration is always running at peak efficiency. This layer approach ensures a robust, scalable, and intelligent integration solution. Implementation challenges and solutions. Implementing cross Cloud integration is not without its challenges. Security concerns are another major hurdle. We mitigate this with end to an encryption and zero trust are securing all touch points governance requirement. Can also be complex. You need to ensure data quality, consistency, and compliance across all our clouds. Our framework provides prevent solutions for each of these obstacles, enabling organizations to overcome implementation and achieve successful outcomes. We have learned from numerous deployments. And built those lessons into our approach. Real time station acceleration. One of the most transformation benefits of our cross cloud integration framework is the dramatic acceleration of station making process. In today's world, speed is essential. Automated response are another key benefit. Our framework automates 93 percentage of protein conditions freeing up your team to focus on more strategic initiatives. This is enabled by event driven workflows and self optimizing systems that react automatically to. Changes in the environment. Reduce latency is crucial for real time decision making. We achieve an 81 percentage decrease in data transfer time through optimizer traffic, quoing, and smart catching strategies. This ensures that data is available when and where it's needed. Security first integration approach. Data classification. Encryption is the first line of defense. We automatically categorize data sensitivity and apply appropriate encryption at the rest and transit across all cloud boundaries. This ensures that your data is protected no matter where it is. Continuous monitoring and auditing is essential for detecting and responding to threats. We deploy AI powered anomaly detection with real time alerts. This gives you visibility into everything that's happening in the environment, this comprehensive strategy. Has enabled organizations to achieve both robust security and seamless integration objectives that were previously seen as a conflicting priorities in multi-cloud architectures case study global financial institution. To illustrate the power of our framework, let's look at the real case study. This is a global financial institution with operations in 43 countries. Their challenges was that they had data across six clouds preventing a unified customer review. This made it difficult to understand their customer needs. Our solution was to implement. A cross cloud data fabric with AI driven integration. This created a unified customer data platform that enabled real time analytics across all platforms. The results were remarkable. They achieved a 4 21 percentage, ROI with the first year. Primarily through fraud prevention, operational efficiencies, and improved customer retention. They also saw a 92 percentage faster fraud detection rate. This case study demonstrate the significant business value that can be achieved through effect two. Cross cloud data integration, automated complaints management. Policy definition allows for centralized complaints, rules that are translated to cloud specific controls. This ensures consistency and reduce the risk of error. Automated enforcement involves continuous verification and remediation of policy violations. The system automatically monitors for complaints and takes action in any issue are detected. Audit and reporting provides comprehensive documentation and evidence generation for complaints. Audits, this simplifies the audit process and reduce the button on your team. Measurement framework. To truly understand the value of cross cloud integration, you need a comprehensive RY measurement framework. It's not just about cost saving, it's about broader business impact or methodology involves key categories, cost reduction, operational efficiency. Addition, velocity, risk mitigation, and customer experience. This provides a holistic view of RYI. As you can see, while cost reduction is important, the highest RYI often comes from risk mitigation through improved security and complaints, customer experience improvements also deliver. It's written through increased loyalty and lifetime value. Happy customers are more likely to stay with you and recommend you to others. By measuring RYI across the file categories, you can get complete picture of the value of your cross cloud integration initiatives. Implementation roadmap and next steps. Implementing Cross Cloud integration is a journey, not a destination. It's the best approach in a phase manner to deliver incremental value. The first phase is assessment strategy. This involves evaluating your current cloud landscape. Defining your business objectives and developing a tailored integration strategy. Key activities include cloud inventory mapping, data flow analysis, and RI target definition. The second phase is foundation building. This is where you implement the core integration architecture and security framework. This includes data fabric deployment. Security control implementation and governance framework establishment. The final phase is it expansion. This evolves progressively extending integration across additional workload and clouds. Thank you all for your time. I appreciate the opportunity to share this with you today. Thank you once again.