Machine learning is more tactical in nature. It imbeds intelligence into business processes to reach decisions more quickly. For example, it can analyze data to learn when to reorder more raw materials based on factors such as inventory, manufacturing productivity or market demand. It can evaluate all of these factors at the same time, much like a human with years of experience predicting when you need to reorder materials -- but can do so in less than a second. The interest in machine learning stems from the number of business applications there are for the technology, and its ability to make AI more practical for enterprises. Deep learning, also known as deep neural networking, takes it a step further and focuses on a narrower subset of AI.