Which of the following technologies enhances real-time monitoring in manufacturing?

The Internet of Things (IoT) is pivotal in enhancing real-time monitoring in manufacturing because it connects various devices, sensors, and systems throughout the production process. By enabling these devices to communicate with one another and transmit data continuously, IoT allows manufacturers to gather real-time information about operations, equipment status, and environmental conditions. This connectivity supports quick decision-making and proactive management of production processes since manufacturers can easily access real-time insights and analytics.

In this context, machine learning, autonomous robots, and big data each play important roles in manufacturing but do so in different ways. Machine learning can analyze data patterns and help optimize processes, while autonomous robots improve efficiency and take on complex tasks. Big data involves the large volumes of data generated but relies on connectivity—such as that provided by IoT—to gather and analyze the information effectively. Therefore, while all these technologies contribute to advancements in manufacturing, IoT specifically focuses on real-time data monitoring and responsiveness, making it the most relevant choice for this question.