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Introduction
The Internet of Things (IoT) is one of the most innovative concepts implemented in diverse spheres of production, technology, sales, communication, and medicine. IoT defines a union of diverse devices in one network where the machines can collect information, process, estimate it, and exchange the data between these devices, people, and servers. Hence, such a concept is useful when speaking about the utilization of technology in various spheres. IoT can be as productive in medicine as it could be in the blockchain.
IoT Application in Healthcare
Many innovative ways of IoT implementation have been suggested recently. An example of such usefulness is its effective usage under the COVID-19 pandemic circumstances. In addition, the Internet of Things can be utilized in healthcare not only under coronavirus pandemic conditions. According to Singh et al. (2020), communication with patients and their reachability are the second concern after vaccine development. Patient reachability is a considerable question that needs to be solved, as many people in need cannot get appropriate medical support because they simply cannot reach hospitals or healthcare workers. Hence, IoT can help establish a successful connection between people in need and service providers, increase the patients’ reachability, and provide them with significant care that can help ill people stop their disease (Singh et al., 2020). Therefore, a stable source of collecting data about the patients, their illnesses, and health conditions is suggested in the example of the Internet of Things.
IoT Application in Technology and Machine Learning
Moreover, technology and machine building are constantly developing spheres of people’s lives, and the utilization of the Internet of Things could bring many benefits for both manufacturers and their clients. According to Mahdavinehad et al. (2018), simplifying and enriching human activities and experiences is one of the long-standing central objectives of computing. This goal can be achieved with the correct and effective Internet of Things application. Many examples of IoT technological applications in modern life can be presented. For instance, Smart City is one of the cases of handling IoT smart data characteristics (Mahdavinehad et al., 2018). Although the researched concept may seem quite developed, it requires further research and broader implementation, its intelligence should be increased, and new machine learning mechanisms and methods should be introduced.
Successful Application of IoT
To be successful in the Internet of Things application, managers should be well acquainted with the basic aspects of this concept, know effective ways of its utilization, and define the areas of IoT’s useful implementation for the organization. For example, by defining the areas of necessity, managers can decide what kind of devices they can use in certain departments. For instance, in the sphere of security, such examples of IoT as fire, fog, carbon monoxide, and water escape detectors can be used to protect the headquarters. In this case, managers should estimate the effectiveness of such device implementation, risks of failure, reliability, security, and many other factors that could affect its successful application. Moreover, managers have to be acquainted with how these technical machines and services work before making a decision about their utilization. They need to understand whether the organization possesses qualified specialists that could handle these tools or whether the company will need to hire additional employees, which will result in higher expenses.
Conclusion
The Internet of Things is an innovative concept that can bring many benefits to companies with its successful application. Data is the most valuable resource that manufacturers, businessmen, employees, and individuals could ever get; therefore, the competition for information constantly arises. As IoT allows the collection of the needed information, it can be concluded that this concept can be utilized almost in every sphere of people’s lives.
References
Mahdavinehad, M. S., Rezvan, M., Barekatain, M., Adibi, P., Barnaghi, P., & Sheth, A. P. (2018). Machine learning for internet of things data analysis: A survey.Digital Communications and Networks, 4(3), 161-175. Web.
Singh, R. P., Javaid, M., Haleem, A., & Suman, R. (2020). Internet of Things (IoT) applications to fight against COVID-19 pandemic. Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 14(4), 521-524. Web.
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