Artificial intelligence is poised to take a large step out of the cloud and into edge computing, which will benefit edge AI hardware vendors.
The shift from the cloud to edge AI, which includes devices, gateways and on premise services, will be driven by machine learning, or inference, and then by training, according to a report by ABI Research. Edge AI inference will increase from just 6% last year to 43% by 2023, according to ABI.
For the telecom industry, moving network technologies from the core to the edge results in faster provisioning of new services and applications. When paired with machine learning and analytics, AI holds promise for Internet of Things applications, virtual reality, autonomous vehicles, and the rollout of 5G services.
