Edge AI has reached early promise and success and with it has come a vast expansion of use cases and contexts and also options for hardware and algorithms. Now the technology is maturing, but what should the operational picture look like? As AI enters everything, what does edge AI even mean and where should we look for common aspects? The presentation explores the cambrian explosion of real-world edge AI and offers structure for its breadth and complexity.

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