Discover how AI is revolutionizing cloud operations! Learn actionable strategies to slash costs by 42%, boost efficiency by 53%, and achieve 99.7% threat detection accuracy. With real-world case studies and this session equips you to transform SRE practices for unmatched reliability and scale.
As enterprises scale their cloud infrastructures, the integration of AI and ML into Site Reliability Engineering (SRE) practices is emerging as a critical driver of cost optimization and operational resilience. This session showcases how AI-powered solutions have revolutionized over 250 cloud environments, cutting operational costs by 42% and enhancing process efficiency by 53%. Attendees will gain insights into innovations like predictive resource management with 91% accuracy, which optimizes infrastructure usage, and automated scaling that has reduced overprovisioning by 67%, paving the way for sustainable cloud resource allocation.
Through real-world case studies, such as a Fortune 500 manufacturing company saving $4.2 million annually and reducing unplanned downtime by 47%, the presentation will illustrate the transformative impact of hybrid and multi-cloud strategies. Key AI applications in predictive maintenance and real-time resource optimization have also achieved significant gains, including a 38% reduction in energy costs and a 52% improvement in resource allocation efficiency.
The session delves into the architectural underpinnings of AI-enhanced cloud environments, focusing on real-time and batch data processing, AI/ML integration layers, and robust security frameworks with a 99.7% threat detection accuracy. It will conclude by highlighting emerging trends in quantum computing, multi-cloud orchestration, and actionable strategies for SRE teams to harness AI for unparalleled reliability and efficiency. This presentation equips SRE professionals with a blueprint for leveraging AI to deliver high-performing, cost-effective, and resilient cloud operations.
Babita Kumari is a Senior Software Engineer at Microsoft, bringing over a decade of expertise in cloud solutions architecture and advanced data analytics. She is highly skilled in Microsoft Azure, AWS, and Dynamics 365, with a proven track record of driving innovative cloud strategies that enhance enterprise operations globally. Babita has led numerous cloud migration and system optimization projects, significantly reducing operational costs and improving service efficiency across multiple regions.
With experience in both public and private cloud environments, she has architected high-performance, scalable solutions tailored to meet complex enterprise needs. Her expertise spans across AI/ML integration, system migrations, CRM customization, and creating robust data management frameworks. Babita has also pioneered projects to streamline supply chain processes and improve customer experience, saving millions in operational costs.
Babita’s comprehensive background includes senior roles in cloud solutions architecture at Microsoft, where she led architectural design sessions and facilitated successful cloud implementations for major clients. She has demonstrated leadership in driving cloud adoption, managing technical teams, and providing expert guidance on cloud-based Dynamics 365 solutions. Her technical proficiency is complemented by certifications in Microsoft Dynamics 365 and AWS Solutions Architect.
Her work also includes the development of custom applications for CRM integration, training teams on cutting-edge cloud technologies, and optimizing resource utilization. Babita holds a Master’s in Information Systems from Georgia State University and a Bachelor’s in Technology from Anna University, India.
