Hello, good morning and welcome to Conference 42, Cloud Native 2025. My name is Krithvi and we are going to discuss today about demystifying cloud technologies, harnessing scalable data analytics for enterprise growth. So today we are going to discuss about cloud technologies and how we can, how enterprises can leverage the advantage of cloud computing and, and then, improve their business. Transform your businesses with cloud powered data analytics. Discover how modern cloud solutions can drive innovation, optimize operations, and accelerate your enterprise digital transformation journey. cloud computing, so it comes as, as a package components. So main components are infrastructure as a service. Platform as a service. Cloud compute technologies are revolutionizing how enterprises handle process and extract value from data analytics. So real time analytics organizations can now analyze. data in real time, enabling instant business insights and data driven decision making as infrastructure as a service enterprises, enterprise grade computing resources on demand, offering scalable virtual machines and stories that grow with your needs. so in this enterprises need not to investor. Much on their infrastructure. So they just, utilize, utilize the, storage that they needed at the beginning. So and then increase as their business grows. So platform as a service, cloud offers pre configured environment, environments and tools that, dramatically reduce. Deployment time, enabling teams to focus on innovation. So here, it, there would be a pre configured or pre, pre developed tools so enterprises can use those tools and then, they are ready made available. readily available and, they can use the software, so instantly. They don't need to invest, time, buying new softwares or, or to cover their business requirements. Cloud service models. Cloud, computing offers three service models that provide different levels of control and functionality. So infrastructure as a service, IAAS, called IAAS, provides on demand computing resources, including, servers, storage, and networking, offering maximum control over IT infrastructure. So in this way, so the companies need not invest on their infrastructure in the beginning, second, platform as a service. The cloud offers, cloud technologies offers a complete cloud based development. environment, removing infrastructure management overhead to speed up application development and deployment. Third, a software as a service delivers ready to use applications via internet, eliminating installation and maintenance while providing immediate access to software. So software will be, readily available, so you don't need to, invest on, softwares, So Infrastructure as a Service, Scalable Infrastructure. So, Infrastructure as a Service, delivers virtualized computing resources. Through internet, giving enterprises full infrastructure control without hardware management or head. So hardware will be managed by the cloud systems cloud, companies so that, uh, clients or business owners, they don't need to, spend money on that platform like, aws. Easy. Two google cloud com. Google Cloud, compute engine provide a secure global distributed computing power that enables high performance analytics while maintaining enterprise security standards. Scalable, when it comes to scalability, instantly just computing resources to match workload, demand of. business or company that needs more resources on demand so they can increase their, resources. so, for a specific period, and then they can, decrease, their resources so that, they, they have the flexibility, of, using more resources when needed and, Reduce the resource size when it is not needed so that they can optimize some of the cost, our resources and when it comes to flexibility, custom configured operating systems, security and performance settings so we can always configure, security components and performance settings as per the business needs. So it has, got more flexibility so you can implement, on demand security, additional security features, and performance settings. So cost effectiveness when it comes to, pay only for those resources used while eliminating the capital expenses. So, organizations and enterprises, they don't need to invest. more in the beginning, so they can only pay, for the services they, use, not that, entire, services that comes as a package, platform as a service, so it offers accelerate development, so development and deployment, platform as a service, platforms accelerate application development. example include Microsoft Azure App Services, AWS Elastic, being tack, reduce time to, insight, by up to 40%. So rapid deployment, quickly deploy and manage applications. So deployment time would be. So shortened. so it's, it's very, it takes less time to deploy automation, automate the data pipeline task so you can automate the processes so that, so you can, you can schedule, To run them on a specific, time where whenever the more resources are available or based on the, availability time, which suits your business, collaboration, enhanced team collaboration. So, you can collaborate, With our different teams, which works, which availability will be 24 by seven. So, you can collaborate, with multiple teams working from different time zones. Software as a service, real time analytics. SAS applications, empower business with real time analytics. Salesforce and Google Analytics are popular options. Improves operational efficiency by 30 percent or more. Data visualization. Visualize data for better insights. so it comes, with a pre configured or pre analytical tools, or pre configured analytical tools, which Gives, more, most of the business analytics, capabilities, on demand and in a ready mode. ready made, ready made, package. So, you can, use, those, pre configured or pre, pre configured, tools and, you can visualize the data, on our demand. AI driven insights. Leverage AI for, smarter decisions. it also comes with the AI, algorithms, tools. which, gives much more, insight, of the data so that the users can understand. They can do calculations, they can do some predictive analytics. So, they can, businesses or users can, understand, the data in a much more simpler and, effective way. Operational efficiency, streamlined business process. operational efficiency is more, as, these are proven technologies or proven tools and, stream, streamlined business processes. Cloud Analytic, use cases. Cloud based analytics is revolutionizing how enterprises extract value from their data. Organizations leverage advanced analytics to drive strategic decision making and operational excellence. Here are three transformative applications that demonstrate the power of cloud analytics. First one is predictive modeling. So leverage machine learning to forecast market trends, demand patterns and business outcomes with unprecedented accuracy. So second one is a fraud detection. Use real time pattern recognizing to protect against financial fraud and security threats across digital channels. Third, third example is custom customers. Segmentation. Analyze behavioral data to create precise customer segments for personalized, marketing campaigns and improved, conversion rates. Forecoming, cloud challenges. So obviously there would be challenges when shifting from traditional, traditional, onshore or traditional, infrastructure to cloud infrastructure. As organizations migrate to cloud, they face critical challenges that must be strategically addressed to ensure successful digital transformation. Understanding and proactively managing these challenges is essential for maximizing cloud benefits. Security. Protecting sensitive data from cyber threats and unauthorized access. While maintaining business continuity and customer trust. Second is a compliance meeting complex regularity requirements across different, jurisdictions while insurance data sovereignty and privacy standards. Cost optimizing cloud Spending through proper resources allocation, preventing unexpected expenses and maintaining budget control, which is most important. If you don't plan these, resources, I had you may end up spending more budget on the cloud services. So this is a critical challenge that many of the organizations will face. But it can be optimized. It can be controlled with much planned with a good plan. Successfully navigating these challenges requires. A comprehensive strategy that balance security measures, regularity compliance and cost optimization efforts. Organizations must develop robust frameworks and policies to address each, aspects while maintaining operational efficiency. Strategies for, cloud governance. effective cloud governance requires a comprehensive framework that ensures security, compliance and cost optimization. and optional, optimal resource utilization across your organization's cloud infrastructure. Success depends on implementing well defined protocols, establishing clear accountability structures, and maintaining vigilant oversight of cloud operations. Organizations must balance Agility with control by creating scalable governance mechanisms that adapt to evolving business needs while maintaining strictly security standards. Maximize cost and performance optimizations. Maximize return on investment through resource optimization. Continuous monitoring and compliance. Track usage patterns and ensure regularity alignment. Foundation policies and standards. Establish a core governance framework. The future is cloud based, so most of the companies are enterprises. They're shifting, towards the cloud based as, it reduces, their operational hands, especially maintaining the infrastructure and, software services. By 2025, a remarkable 83 percent of enterprise data workloads will migrate to cloud, making a fundamental shift in how organizations, manage and process. Information cloud platforms are driven business operations by streaming, seemingly seamlessly, in introducing AI and machine learning capabilities, enabling organizations to automate complex process. predict market trends and deliver personalized customer experiences at scale. Through cloud powered business intelligence, companies can transform raw data into actionable insights. Enabling real time decision making, predictive analytics and data driven strategy, and development across all organizations level in cloud. in this graph, you could see, cloud-based applications, is, expected to grow. our out, our out phase, on, on, on premises. On for instance, services. So, here are key takeaways. Cloud technologies transform enterprise data analytics by enabling scalability, real time insights and advanced automation capabilities. Choose the right service model, infrastructure as a service, platform as a service, software as a service based on your organization's specific needs. for control flexibility and managed services. Implement robust security measures and maintain regularity compliance through comprehensive governance frameworks and continuous monitoring. Drive business value by optimizing cloud cost through efficient resource allocation, automated scaling, and strategic work, workload management. Thank you. Hope you understand my concept. Thank you.