Today's topic is AI Powered Predictive Analytics for Multi Cloud Management. Artificial intelligence and cloud computing are converting to revolutionizing as organizations manage cloud resources. This presentation explores the transformation impact of AI driven solutions across the resource management operations and operational technologies. Discover how loading technology providers are leveraging AI to enhance the cloud platform's driving efficiency. Point performance and cost optimization learn how this technological convergence or fostering innovations, operational excellence across the diverse industries. So resource management revolutions, we can divide this topic into, two parts. Like the first one is the dynamic scaling and the second one is the automated provisioning. The dynamic scaling advanced AI algorithms analyze the historical patterns on real time metrics. To predict resource demands with up to 95 percent accuracy, this intelligent scaling automatically adjusts cloud resources within seconds, maximizing the performance during the traffic spikes while reducing the cost by 30 to 40 percent during the low utilization periods. The second part is automated provisioning. AI driven provisioning system orchestrates resource deployment across complex cloud environments in minimum instead of hours, minutes instead of hours. The automation eliminates the configuration errors, cuts deployment time by 80 percent, and the, and ensures It's consistent resource allocation across the entire cloud infrastructure. By harassing AI predictive capabilities, the organizations are fundamentally transforming their resources, management, and management strategies. The combination of, Precise dynamic scaling and intelligent automated programming report 40 percent lower operational cost and 99. 9 percent resource availability and five times faster the deployment cycle, proving that AI powered cloud management is not just an improvement, it's a competitive necessity. The next topic is optimization strategies enhanced by AI. So work done, I, we can divide the whole topic into three parts. The first one is workload placement, cost optimization, and security optimization. AI, in the, while we go with the workload placement, AI algorithm analyze the resources requirements, network latency, and performance metrics to automatically distribute workloads across the cloud infrastructure. maximizing efficiency and throughput. Cost optimization machine learning models continuously monitor resource consumption pattern automatically identifying, identifying the unutilized assets and recommending strategic adjustment to the pricing types and the instance types, the security optimization. Advanced AI systems leverages the pattern recognition and behavioral analysis to proactively identify the security and MLTs. Automatically implementing the predictive measures. before breaches occurred by integrating AI into cloud optimization, organization achieve unpredictable levels of operation efficiency, advanced algorithms for continuously to balance the performance cost and security, delivering up to 40 percent cost saving while maintaining the peak performances. This intelligent approach of cloud management transforms traditional infrastructure into a self optimizing system but adopts a real time challenge in the business network. The next one is the transform. The first part is predictive maintenance, advanced AI algorithms analyze the system performance to forecast potential hardware failures, enhancing proactive maintenance, scheduling the maximizing, and operational efficiency. The second part is anomaly detection, a sophisticated AI systems continuously monitor cloud environments for irregular patterns and deviations from the normal behavior enabling early invention before minor issues escape into the major problem. Automated remediation. Intelligent AI systems swiftly diagnose and autonomously resolve the operational issues in cloud environments. It's dramatically reducing the manual intervention and accelerates the problem, problem resolution. Leading technologies providing Embraer CIM. Amazon Web Services, Azure, Google Cloud are the now leading technology providers in the Embraer CIM. So Amazon Web Services leads within SageMaker, enabling organizations to build, train, and deploy machine learning models at scale with automated workflows and built in security. On the other side, Azure Microsoft comprehensive services include advanced natural language processing, computer vision and automated machine learning and making AI accessible to Thank you. enterprise to all the sizes, Google Cloud. While coming to the Google Cloud platform combines its AI research expertise within expertise ready tools, offering pre trained models and customize the AI solutions that reduce the time to market. Major cloud providers are revolutionizing the enterprise adoption through The innovative platforms integration. Their AI powered solutions democratize across all advanced capabilities, enabling business to implement the predictive analytics, automotive complex, and workflows, and develop custom AI applications without extensive data science expertise. This transformation is accelerating digital innovation across the industries while reducing the implementation barriers and operational costs. business implications of AI in the cloud, so there are three levels if you see the pyramid of the triangle, the top of the iceberg is like competitive advantage, the second one is the operational exchange and the core is the cost savings. The coverages The convergence of AI and cloud computing has significant business implications, organizations and can achieve cost savings throughout the optimized resources utilization, and hence the operational excellence and automated process, and gain competitive advantage leveraging AI innovations, embracing AI in the cloud, drivers growth and position business in the long term sources. Driving innovations on AI powered cloud. So there are new products, improved services, and, enhanced customer experience. AI powered clouds drive innovative by enabling the creation of new products, improving the existing services, and enhancing the customer service experience. AI algorithms analyze vast amounts of data to identify the trends and opportunities and loading. Innovative solutions. These solutions transform industries to deliver uploaded value and embrace AI to unlock the new possibilities and stay ahead of the competition. In the enhanced operational excellence, there are, three categories like automation, efficient and accuracy and automation transform the operation by integrity, automating the repetitive task, enabling your workforce, workforce to focus on innovation strategy and high value and activities that don't. Drive business growth and efficiency. Maximum operational efficiency through AI powered resources allocation, predictive maintenance, and intelligent workflow optimization that reduces the cost and accelerates the delivery times. Accuracy achieve the unprecedented levels of precision by leveraging AI analytics and capabilities of data driven decision making, quality controls, and risk management. Creating new opportunities across the industries. The Healthcare, Transportation, and Manufacturing. The Healthcare AI revolutionized healthcare through the advanced diagnostic algorithm, precision medicine, and intelligence of patient monitoring systems that dramatically improve the treatment outcomes. The transportation domain all transformed mobility with self driving vehicles, predictive maintenance systems, and intelligent traffic management that enhances safety and efficiency. In the manufacturing, AI revolutionized manufacturing. through real time quality control, predictive maintenance, and dynamic supply, supply chain optimization that, minimize the waste and maximize the product. The powerful fusion of AI and cloud computing is catalyzing the unprecedented transformation across the industries. In healthcare, AI sophisticated algorithms are not just improving diagnostics. They are revolutionizing the patient care by enabling personalized treatment plans and early disease detection. The transportation sector is wishing a paradigm shift in the AI powered autonomous vehicles and smart traffic systems and leading to safe and more efficient mobility solutions. In manufacturing AI driven automation, predictive analytics dynamically boosting the productivity while reducing the operational cost. This technological advance are not just improving the existing process, they are creating entirely new business models and revenue streams that were, that are reshaping the global economic landscape. Key takeaways, AI revolutionized that, cloud operations. That the second thing is industry's leaders set to new standards and transformative business outcome. AI powered, AI powered algorithms optimize the reduced allocation, automated scaling decisions, and enhancing the security monitoring. And delivering up to 40 percent improvement in operational efficiency. Industry leaders set new standards. Major cloud providers are enabling AI capabilities into their the core services enabling the predictive maintenance and intelligent automation and advanced analytic and enterprise customers. Transformative and business outcomes are organization leveraging AI and cloud environment repeat accelerated innovation cycles with 30 percent reduction on in operational costs and breakthrough the opportunities in customer experience and product development. The integration of AI into cloud management represent a fundamental shift in how organization innovative by combining AI predictive capabilities with the cloud scalability and business are achieving unpredictable levels of efficiency and agility. The convergence not only optimize the current operation but also unlocks a new possibilities for growth enabling organization to thrive in an Increasingly distal first, first one, the next steps conduct comprehensive audit for your existing cloud infrastructure include resource utilization patterns and performance metrics map critical business process to identify high impact opportunities for intelligence and automation. Avaliate and benchmark leading AI powered cloud solutions against specific organization needs and objectives are developed. And execute phased AI implementation strategies prioritizing quick wins while building towards a long term transformation. Success in AI driven cloud management requires a method, methodical, strategic approach begin with a through assessment of your current, infrastructure to establish a clear business identifier of optimization opportunities. Systematically evaluate where AI can deliver the most significant impact considering both immediate efficiency gains and long term strategy advantage. By carefully selecting the, implementing the AI solution that align with the specific needs, you can accelerate your digital transformation journey while maximize return of, return on investment. Thank you. Thanks everyone for the, for the opportunity, thank you everyone.