ABSTRACT
Artificial Intelligence (AI) is a constellation of technologies that allow computers and machines to sense, comprehend, act, and learn. Unlike IT systems of the past that merely generated or stored data, the value of AI systems is that they can increasingly learn, adapt, and complete tasks in ways that are similar to a human being. Machine learning-enabled processes rely on the development and use of computerized algorithms that “learn” from data sets rather than strictly following rule-based, preprogrammed logic. An algorithm is a mathematical model based on sample data, known as “training data.” Machine learning uses algorithms to identify patterns in the data and then make predictions from those patterns with a degree of certainty. In spite of lacking deliberate understanding and being a mathematical process, machine learning can prove useful in many tasks. AI is sometimes classified by the level of sophistication or type of use.
