How to take A.I. from the cloud to the edge

Advancements in artificial intelligence (A.I.) and machine learning have taken the cloud to new heights over the past few years. Despite this progress, however, one vexing problem remains: mobile apps with A.I. and machine learning algorithms tend to have higher latency. This is because they require a vast amount of data and computing power provided by either the cloud or an aloof data center. Consequently, there has been a growing need to enable distributed intelligence with edge devices. Before proceeding, it would be well-advised to clarify terms, especially A.I. and machine learning, which are often conflated.