We are now witnessing the rapid development and powerful application of advanced technologies, leading to the fourth industrial revolution, or Industry 4.0. The wide use of cyber-physical systems (CPS) and the internet of things (IoT) lead to the era of Big Data in industrial manufacturing. Artificial intelligence (AI) algorithms emerge as powerful analytic tools to process and analyze Big Data. These advanced technologies resulted in the introduction of a new concept in Industry 4.0: smart manufacturing. In order to fully understand this new concept in the context of Industry 4.0, this chapter presents a survey on the key components of smart manufacturing as well as the link between them, including the industrial internet of things (IIoT), Big Data, and AI. Several studies enabled smart manufacturing, and perspectives for further research are reviewed and discussed. Finally, we provide a case study where the problem of remaining useful lifetime (RUL) prognostic is considered using AI algorithms.