As AI Algorithms Become More Sophisticated in Edge Devices, Persistent Data Requirements Must Advance at the Same Pace
SEPTEMBER 12, 2019
AI algorithms are also migrating from centralized data centers (both on-premise and in the cloud) to distributed devices on the edge of networks. Companies use distributed AI algorithms to monitor and optimize real-time operations – receiving inputs from embedded sensors, GPS-enabled mobile applications, IoT devices, and video cameras and aggregating this data into a holistic, digital representation of the physical operations. The need for persistent data.