In the information era, enormous amounts of data have become available on hand to decision makers. Big data refers to datasets that are not only big, but also high in volume, velocity, variety and veracity (the four V’s of big data), which makes them difficult to handle using traditional tools and techniques. Due to the rapid growth of such data, solutions need to be studied and provided in order to handle and extract value and knowledge from these datasets. Furthermore, decision makers need to be able to gain valuable insights from such varied and rapidly changing data, ranging from daily transactions to customer interactions and social network data. Such value can be provided using big data analytics, which is the application of advanced analytics techniques on big data. This paper aims to analyse some of the use of big data for the artificial intelligence development and its applications in various decision making domains.