Will Edge AI be the ML architecture of the future?

Edge AI offers lots of improvement over conventional ML architectures. First of all the latency involved with any network transfer is removed, which can be critical in some use cases. The battery drain involved with streaming data is no longer an issue, allowing for better battery life, and associated costs for data communication are significantly reduced. This is highly beneficial for a number of use cases. Sensors in remote locations like offshore wind farms can come pre-loaded with the algorithms that enable them to make decisions without the complex infrastructure of getting them internet-connected.