Ai Integration in Data Driven Decision Making for Resource Management in Internet of Things(Iot): A Survey

Decision making is an integral part of everyday life. Decision refers to the ability to make moving towards correct direction. Millions of people are now benefiting from AI-based data-driven decision-making. To deal with a wide range of technical process in managing IoT system resources, Data Driven Decision Making offers recommendations on how to utilize data-driven decision-making techniques which leads to better resource management. This article focuses on the most significant of those suggestions: The IoT devices can sense, analyses, communicate, and store data collected from the real world. They can also communicate with one other. Because IoT devices are limited, the IoT ecosystem presents several problems owing to the ubiquitous nature of many of the applications being developed using the technology. Using data to assist decision-making in effective resource management in an IoT context with limited resources is the primary emphasis of this article. It also includes key methods, techniques, and procedures. This paper proposes a framework for conceptual Data Driven Machine learning model ie. an intelligent decision-making model based on Internet of Things (IoT) data-driven technology, which offers significant insights and ideas on the various difficulties and future research paths in this work.