Essay Example on AI & IoT: Enhancing the Internet Experience

Introduction

According to Harkiran (2019), artificial intelligence is the ability of computers to do tasks following prior experience without human assistance. On the other hand, the Internet of Things is the connection of networks that enable them to collect data and share. As such, for the internet of things to work in various situations, it requires the assistance of artificial intelligence to collect and send information. Artificial intelligence impacts how people use the internet in multiple activities (Artificial Intelligence, 2017). The collection of extensive data and expansion of the Internet of Things is based mainly on artificial intelligence use. This has been seen in various sectors such as diagnosis in healthcare, transportation, education and entertainment, among other places. This essay will focus on the application of the Internet of Things based on the assistance of artificial intelligence.

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Research Questions

1. What are the applications of artificial intelligence in the Internet of Things?
2. What improvement has artificial intelligence made in the Internet of Things?
3. What are the challenges in the integration of artificial intelligence and the Internet of Things?

Problem Statement and Research Objectives

Application of Internet of Things based on artificial intelligence is of great importance in today's world. Since the Internet of Things involves the collection and transfer of extensive data, artificial intelligence is helpful through the automation of services to ensure that it works well. According to Osuwa, Ekhoragbon & Fat (2017), artificial intelligence is the best solution in managing huge data in the IoT networks. Failure to use artificial intelligence can be costly to an organization or people using the Internet of Things. For example, manual use of the Internet of Things requires the employment of many people which increases the expense of an organization. Considering all these advantages, AI is essential and can help in improving the effectiveness of IoT in the collection and easy transfer of data. Therefore, the research objectives are as follows:

1. To extensively review and analyze the application of artificial intelligence in the Internet of things.
2. To assess the improvement that artificial intelligence has made on the Internet of Things that make it the best solution in transferring extensive data.
3. To assess the challenges in integrating the Internet of Things and artificial intelligence.

Literature Review

Internet of Things helps in easier communication by collecting and transferring data from one computer to another. This works well with artificial intelligence that ensures that data is collected without human assistance. According to Vermesan, Bröring, Tragos, Serrano, Bacciu, Chessa & Simoens (2017), AI helps programming and automation of communication, making it easy to communicate with IoT. Similarly, Zhang, Ma, Zhang, Hossain, Muhammad & Amin (2019), argued that artificial intelligence help in improving interactivity through IoT. This is because of high connection between various people. With automation, people can interact anytime they like to. IoT also helps in monitoring and control of communication. According to Hwang (2019), AI helps improves monitoring and control of communication as it works all time. Artificial intelligence is essential in ensuring that IoT works for enhancing the communication of organizations allowing them to send and receive data all time.

IoT has helped in reducing the crime rate through speech recognition and object identification. AI is essential in recognizing speech and identifying objects as it can record the faces and speech when people visit a given place (Ghosh, Chakraborty & Law, 2018). This help the police and security officers in identifying persons who might have committed a crime in a given place. Also, through speech recognition, police can track hate speech made by some people in public platforms. AI assist in language processing that helps in identifying who said certain words should the word be said in crowd (Rani, Bakthakumar, Kumaar, Kumaar & Kumar, 2017). Under the identification of objects and people, it is useful in healthcare to contain the spread of contiguous diseases. In the research of Vaishya, Javaid, Khan & Haleem (2020), artificial intelligence helped in identifying people who might have contacts with COVID19 patients through face identification.

IoT with the help of AI improves decision making of an organization. According to Tschider (2018), AI helps in the proper collection of enough and reliable data making people have enough evidence to base their decision on. Also, its automation creates a timely transfer of data making people make a decision on time. This postulate with the research of Bandaragoda, Adikari, Nawaratne, Nallaperuma, Luhach, Kempitiya & Chilamkurti (2020), artificial intelligence has in real-time decision making through enough and timely data collection and transfer. This shows the improvement that it has made in decision making as manual use of IoT can result in the delay of delivering data collected due to much work. Further, AI has improved decision making in the healthcare sector by reducing errors occurring. According to Le, Van, Tromp & Nguyen (2018), artificial intelligence enhances accuracy and efficiency. This makes the medical professionals to reduce errors such as wrong labelling that can lead to doing surgery on a wrong patient.

Application of AI in IoT has some challenges. According to Katare, Padihar & Quereshi (2018), integration of AI and IoT has issues such as security, complexity and cloud attacks among others. This might make its application to be doubted by the users. When information sent to people are attacked, they can reach unauthorized persons that can result in losses. This is in align with the research of Gill, Tuli, Xu, Singh, Lindsay, & Pervaiz (2019), application of artificial intelligence in the Internet Of Things face a challenge of confidentiality. There is a lack of enough privacy in the transfer of data as it can reach the hands of the third party. Similarly, Lee & Kim (2017), in their research, identified that the Internet of Things faces a challenge of security of data in their integration. Even though there are challenges, appropriate use of artificial intelligence has a great benefit to an organization.

Methodology

The study will use interpretivism philosophy. The research method that will be used in this study is qualitative that involves all qualitative techniques of data collection. A semi-structured interview will be used in the collection of data. Due to current COVID19 pandemic, all data collection will be done through online platforms and tele-interview. It will be based on primary data together with secondary data majorly using scholarly references with some Internet-based references talking about application and research of Internet of Things technology based on artificial intelligence. The participants will involve all users of the Internet and various managers from selected organizations on their experience on the application of the Internet of Things based on artificial intelligence. The study will follow ethical consideration such as honesty, confidentiality and accuracy of data that will improve the reliability of data.

References

Harkiran. (2019). The role of Artificial Intelligence in the Internet of Things. GeeksforGeeks. https://www.geeksforgeeks.org/the-role-of-artificial-intelligence-in-internet-of-things

Vermesan, O., Bröring, A., Tragos, E., Serrano, M., Bacciu, D., Chessa, S., & Simoens, P. (2017). Internet of robotic things: converging sensing/actuating, hypoconnectivity, artificial intelligence and IoT Platforms.

Zhang, Y., Ma, X., Zhang, J., Hossain, M. S., Muhammad, G., & Amin, S. U. (2019). Edge intelligence in the cognitive Internet of Things: Improving sensitivity and interactivity. IEEE Network, 33(3), 58-64.

Hwang, S. (2019). A network clock model for time awareness in the internet of things and artificial intelligence applications. The Journal of Supercomputing, 75(8), 4309-4328.

Ghosh, A., Chakraborty, D., & Law, A. (2018). Artificial intelligence in internet of things. CAAI Transactions on Intelligence Technology, 3(4), 208-218.

Vaishya, R., Javaid, M., Khan, I. H., & Haleem, A. (2020). Artificial Intelligence (AI) applications for COVID-19 pandemic. Diabetes & Metabolic Syndrome: Clinical Research & Reviews.

Rani, P. J., Bakthakumar, J., Kumaar, B. P., Kumaar, U. P., & Kumar, S. (2017, March). Voice-controlled home automation system using Natural Language Processing (NLP) and Internet of Things (IoT). In 2017 Third International Conference on Science Technology Engineering & Management (ICONSTEM) (pp. 368-373). IEEE.

Tschider, C. A. (2018). Regulating the Internet of things: discrimination, privacy, and cybersecurity in the artificial intelligence age. Denv. L. Rev., 96, 87.

Bandaragoda, T., Adikari, A., Nawaratne, R., Nallaperuma, D., Luhach, A. K., Kempitiya, T., & Chilamkurti, N. (2020). Artificial intelligence-based commuter behavior profiling framework using Internet of things for real-time decision-making. Neural Computing and Applications, 1-15.

Le, D. N., Van Le, C., Tromp, J. G., & Nguyen, G. N. (Eds.). (2018). Emerging technologies for health and medicine: virtual reality, augmented reality, artificial intelligence, Internet of things, robotics, industry 4.0. John Wiley & Sons.

Katare, G., Padihar, G., & Quereshi, Z. (2018). Challenges in the integration of artificial intelligence and Internet of things. International Journal of System and Software Engineering, 6(2), 10-15.

Lee, J. H., & Kim, H. (2017). Security and privacy challenges in the Internet of things [security and privacy matters]. IEEE Consumer Electronics Magazine, 6(3), 134-136.

Gill, S. S., Tuli, S., Xu, M., Singh, I., Singh, K. V., Lindsay, D., & Pervaiz, H. (2019). Transformative effects of IoT, Blockchain and Artificial Intelligence on cloud computing: Evolution, vision, trends and open challenges. Internet of Things, 8, 100118.

Artificial Intelligence. (18 April 2017). Artificial Intelligence and Machine Learning: Policy Paper. Internet society. https://www.internetsociety.org/resources/doc/2017/artificial-intelligence-and-machine-learning-policy-paper/

Osuwa, A. A., Ekhoragbon, E. B., & Fat, L. T. (2017, September). Application of artificial intelligence in the Internet of Things. In 2017 9th International Conference on Computational Intelligence and Communication Networks (CICN) (pp. 169-173). IEEE.