Nowadays, industrial enterprises and companies are addressing the challenge of transforming the Industrial IoT (IIoT) ideas, Industry 4.0, Cyber-Physical Systems (CPS), and similar concepts into reality. In the Industry 4.0 era, various data management research challenges have to be addressed. Huge amounts of heterogeneous sensor data have to be processed in real-time to control the production machines. Data processing through smart devices is more significant compared to information processing capacity. Nowadays, data becomes humongous, even coming from a single source. Besides, unstructured data from production reports or external sources must also be integrated to analyze and optimize the production process. Therefore, when data emanates from all heterogeneous sources distributed over the globe, its magnitude makes it harder to process up-to a needed scale.
The world has seen many breakthroughs in machine learning and artificial intelligence research. By integrating the advances in smart devices, and big data analysis with the advances in machine learning, the future role of smart systems, networks, and applications is becoming limitless. It’s expected to revolutionize the future of the world within the next few years.