Hi all,
Running a short research survey on Edge AI deployment pain points — specifically for people who have tried (or want to try) running inference on microcontrollers and embedded devices.
The focus is on the tooling gap: what makes the journey from a trained model to a working embedded deployment so painful, and where the biggest time sinks are.
Takes 5 minutes, fully anonymous: https://forms.gle/are2Js3q7fABUXBT6
Will share aggregated results with the community. Thanks in advance.