TLDR
The ability to apply AI to “see” events in the physical world enables an immense opportunity for innovation in areas such as object recognition, safety and security, quality control, predictive maintenance and compliance monitoring. The need for AI (and ML) at the edge will only continue to grow with the explosion of devices and data. In Part One of this two-part Q&A series we highlighted some key considerations for edge AI deployments. In this installment, our questions turn to emerging use cases and key trends for the future.via the TL;DR App
no story
