AI and IoT: How Do They Complement One Another?
The Internet of Things (IoT) and artificial intelligence (AI) are among the most prominent topics in the technology sector. Consequently, it is imperative for enterprise technologists to possess a deep understanding of these subjects. It is crucial to strategize on how these two technologies can work together to benefit organizational users, as their integration can yield significant synergies.
AI sensors are capable of producing massive amounts of data. The mentioned data can be used for business analysis and optimization, which may boost accuracy and efficiency.
Artificial intelligence is fundamental to the Internet of Things (IoT), and every IoT application that employs software to respond to a trigger event is at least a rudimentary type of AI. For IoT developers and users, the question is not whether AI should be used, but rather how far it can advance. The adaptability of the real-world systems that IoT supports will determine that.
Like all automation projects, the Internet of Things (IoT) aims to eliminate the need for direct human engagement by automating real-world processes with computer tools. IoT does not replace human judgment and decision-making, despite its goal of minimizing human labor. In this situation, artificial intelligence (AI) can be used to greatly enhance the Internet of Things system, so long as the AI tools’ capabilities surpass those of basic IoT programming and controllers and as long as using AI doesn’t cause a delay in the control loop that could jeopardize real-time control.
AI’s potential contribution to IoT applications will significantly increase as the technology develops and mimics human capabilities. The sector is expanding rapidly, and IoT users should keep a close eye on AI advances and constantly look out for new opportunities.