Artificial Intelligence (AI): The science of making computers mimic humans using logic, decision trees, deep learning and machine learning.
Description Examples Current Use Cases
Machine Learning (ML)
A sub-set of AI that uses algorithms to parse, learn and predict from data sets or corpuses. Allows software to become more accurate in predicting outcomes without being explicitly programmed.
 Provides the ability to automatically gain insights, recognise patterns, and create predictive models.
  • Fraud detection in credit card transactions
  • Price prediction
  • Weather prediction
  • Spam filtering
Deep Learning (DL)
An approach related to machine learning that uses a computational model (or neural network) that learns, processes and trains itself to execute functions from language, images, raw data, etc.
 The automatic construction of meaningful features of often unstructured, heterogeneous data in an unsupervised manner.
  • Improving voice search on smartphones
  • Pattern recognition
  • Image recognition and classification
  • Natural language processing/understanding