As artificial intelligence evolves beyond the data center, a new frontier is emerging at the edge—where smart sensors, microcontrollers, and low-power devices are enabling real-time intelligence closer to the physical world. This panel explores the transformative journey from tinyML—AI on resource-constrained devices—to full-fledged edge AI systems that bridge the gap between digital models and real-world action.
Join industry leaders and innovators as they discuss the latest advancements in on-device learning, edge computing architectures, and AI deployment in environments with limited bandwidth, power, or compute. Topics will include practical applications across industries such as healthcare, manufacturing, agriculture, and smart cities, as well as challenges like model compression, latency, privacy, and security.
Whether you're building smart sensors, designing AI pipelines, or looking to understand the future of decentralized intelligence, this session will offer insights into how tinyML and edge AI are reshaping how machines sense, interpret, and interact with the world around them.
