Artificial Intelligence (AI) is only possible with big data, because we need a tremendous amount of data to “teach” or “train” AI systems. As its name suggests, AI has a form of intelligence of its own. It figures out which rules to follow based on the data that we feed them.

An AI application doesn’t just do what it’s been programmed to do. AI can go further than that. It responds to changing information and makes adjustment based on what it learns as it goes along. AI differs from supercomputers and other systems with powerful computing capabilities in one important way. AI systems are capable of not just computing, but actual learning — machine learning. The more data you give these machine learning networks and the more computational capability you give them, the better the result becomes because the results of previous machine-learning exercises can be fed back into the algorithms.