Edge AI is essentially bringing the data processing near to the source. AI algorithms run locally on the hardware device or edge nodes utilizing the edge computing infrastructure. Data is thus processed in real-time at the source or near to the source. It helps to mitigate few of the challenges associated with cloud AI like latency, privacy concerns, network, and bandwidth issues.
The adoption of AI on Edge has been on the rise across various industries. Some of the factors driving Edge AI are data privacy, real-time data processing, overcoming latency issues, 5G, increasing use of smart devices, and better customer experience.