By processing data locally on mobile devices, the industry will achieve much lower latency, better privacy, and lower bandwidth usage. This approach is critical for real-time applications such as autonomous vehicles, augmented reality, and personalized AI assistants. The edge is where new AI use cases will develop, especially for personal use. Not only will supporting these programs become more affordable at the edge, but it will also become more reactive and customizable, benefiting consumers and researchers alike.
