Seven Examples of AI at the Edge Using IoT
Artificial intelligence at the edge has become central to our data-driven, fast-moving world.
While for years data-intensive processes have used the cloud for compute and processing, IT pros increasingly turn to the edge for faster, and potentially more secure, data processing.
By moving workloads to the edge of the network, devices can run AI algorithms to analyze and act on data locally, sending only what’s needed to the cloud for further processing. AI at the edge thus reduces bandwidth and enables real-time decision making.
In what follows, we review top examples of AI at the edge, and how the technology has matured to enable several new data-intensive experiences.
