AI at the edge: 3 tips to consider before deploying

As artificial intelligence (AI) matures, adoption continues to increase. According to recent research, 35% of organizations are using AI, with 42% exploring its potential. While AI is well-understood and heavily deployed in the cloud, it remains nascent at the edge and has some unique challenges. Even though a user accesses these services often on a mobile device, the compute results reside in cloud usages of AI. More specifically, a person requests information, and that request is processed by a central learning model in the cloud, which then sends results back to the person's local device.