Edge AI promises its users an enhanced user experience through minimal latency and privacy risk. As more machine learning workloads shift to the edge, edge AI has become a critical change agent driving digital transformation. This session will focus on the current state of edge AI by key vertical, prominent hardware, software, service players, and major trends in the industry. With more intelligent devices deployed, hardware manufacturers and software vendors are looking for innovative solutions to avoid heavy investments and long development cycles. The session offers a closer look at methods that accelerate edge AI design, development, and deployment, such as new hardware architecture, integration with cloud services, and increased focus on edge AIOps.