Postgraduate Research &
Innovation Symposium (PRIS)

Theme

Big data and the 4th Industrial Revolution

Big data analytics is the use of advanced analytic techniques against very large, diverse data sets that include structured, semi-structured and unstructured data, from different sources, and in different sizes from terabytes to zettabytes. To efficiently deal with big data one needs hybrid methods from Mathematics, Statistics and Computer Science. Approaches that combine Machine Learning, Artificial Intelligence and Statistical approaches are becoming increasingly popular in dealing with big data, among them Artificial Neural Networks, Support Vector Machines, Regression Trees and Random Forests just to mention a few.

The main challenge that the 4th Industrial Revolution (4IR) will bring is for Society to be able to handle big data efficiently in order to harness the full benefit of the technologies that come with it. In fact, the main technologies that are shaping the 4IR include robotics, the Internet of things (IOT), Artificial Intelligence and big data. The role of big data in the 4IR is critical. No sector or business will be untouched by the 4th Industrial Revolution, and it is happening at an exponential speed rate.