Artificial intelligence (AI) has dominated the fourth industrial revolution (4IR), and it is the framework for driving many of the automation processes at the centre of the revolution. Statistical learning and machine learning are methodologies used in the AI framework, and aimed at estimating and predicting unknown scientific and business phenomena using pertinent information in data. These methods originated as data set sizes increased, data sources diversified, information dynamics changed and computation power increased.
Statistics is a fundamental contributor to this broad field, and includes research areas such as unstructured and latent data analysis, computer intensive non-parametric methods, and in time predictive modelling. Rapid developments in data analytics necessitates in-depth skills training and research development, balancing fundamental understanding, and research contributions with practical implementation for business and scientific decision-making.