Generative AI and autonomous agents are transformative, but often come with high cloud costs and data movement concerns. This session dives into the cost-effective revolution of Edge AI, demonstrating how to deploy powerful GenAI models using Microsoft's technologies and intelligent agents directly onto edge devices. The session will explore practical use cases where Edge AI drastically reduces latency and operational expenditure. Crucially, learn how keeping data local on the edge provides a robust layer of data protection and regulatory compliance. Finally, it'll demystify the AIOps pipeline, detailing best practices for productionizing Edge AI scenarios or seamlessly integrating an Edge-to-Cloud hybrid architecture for scalable AI deployments all using the Microsoft's products and services. This is the blueprint for delivering next-gen AI with both financial and security prudence.