Artificial Intelligence, in Pegasystem’s definition, “is a broad term that covers many sub-fields of computer science that aim to build machines that can do things that require intelligence when done by humans. These sub-fields include:
Machine learning – rooted in statistics and mathematical optimization, machine learning is the ability of computer systems to improve their performance by exposure to data without the need to follow explicitly programmed instructions. Machine learning is the process of automatically spotting patterns in large amounts of data that can then be used to make predictions.
Deep learning – this is a relatively new and hugely powerful technique that involves a family of algorithms that processes information in deep “neural” networks where the output from one layer becomes the input for the next one. Deep learning algorithms have proved hugely successful in, for example, detecting cancerous cells or forecasting disease but with one huge caveat: there’s no way to identify which factors the deep learning program uses to reach its conclusion.
