Council Post: Demystifying AI Deployments: In The Cloud And At The Edge

Dr. Eli David is a leading AI expert specializing in deep learning and evolutionary computation. He is the Co-Founder of DeepCube. Today, there are two possible deployments of deep learning technology: in the cloud and at the edge, directly on a device. A majority of these deployments rely on the cloud, due to the extensive requirements of processing power and memory consumption, as well as the size of AI models. While cloud deployments allow AI to benefit from the power of high-performance computing systems, challenges remain. Privacy concerns arise with the need for data to be sent back and forth from device to cloud for processing, and there are limitations due to latency, bandwidth, and connectivity.