AI is undergoing a major shift—from cloud-based processing to on-device intelligence. In this talk, Krishna Sridhar, Vice President of Engineering at Qualcomm Technologies, explores what this transformation means for developers, products, and users. Drawing from Qualcomm’s deep expertise in R&D and its work on Snapdragon platforms and the Qualcomm AI Hub, Krishna highlights how edge AI enables lower latency, enhanced privacy, and greater efficiency—opening new possibilities for mobile, automotive, compute, and IoT applications. This session dives into the technical, practical, and strategic considerations of deploying AI closer to the user—and what it takes to build performant, scalable AI at the edge. A must-watch for anyone working at the intersection of AI and embedded systems. Keep building, DeepLearning.AI