TO: Prof. Jason W. Ellis
FROM: Hector Dextre
DATE: September 17, 2019
SUBJECT: 500-Word Summary of Katare, Padihar and Qureshi’s “Challenges in the Integration of Artificial Intelligence and Internet of Things”
To understand better the challenges in the integration of Artificial Intelligence (AI) and Internet of Things (IOT), it is important to know what these technological terms are. According to the authors, “Internet of Things (IOT) (‘Thing’ refers to a device which is connected to the internet and transfers the device information to other devices.)” and “Artificial Intelligence (AI) is the intelligence which is not natural but used by machine in some order based on instructions” (Katare, Padihar and Qureshi, 2018, p.10). IOT, usually located at an early stage of development due to the limited capacities of its processor, needs an AI’s speed injection to allow the increase of the capabilities of IOT. Knowing more about IOT and their applications, AI and its uses cases and their challenges will permit individuals to comprehend the rapid development of technology.
Internet of Things are the access to objects with the use of internet. The authors stated, “the main goal of development of IOT is to connect the internet with physical world and the environment with wireless networks” (Katare, Padihar and Qureshi, 2018, p.10). In other words, IOT is basically a network of physical gadgets and it is a system of apparatuses equipped with information gathering technologies so they can interact and interchange data with one another. There are many applications of IOT, but just to indicate some of them that are applicable in agriculture, poultry, farming, health care, environment, education, technology, manufacturing, housing, finance, sports, energy and transportation.
Artificial Intelligence, according to John McCarthy, the father of AI, is “the science and engineering of making intelligent machines, especially intelligent computer programs” (Katare, Padihar and Qureshi, 2018, p.11). In other words, AI is the method of making a robot controlled by computing machine or software that thinks intelligently. The applications of AI are machine learning and deep learning with the capacity to automatically acquire and enhance performance from experience. The correlation between these two applications is that deep learning is a subcategory of machine learning which is made up of algorithms that train it to do every task like face recognition using large amounts of data. AI uses cases, just to indicate some of them, are image recognition, warehouse optimization, credit verification and medical diagnosis.
When IOT and AI connect, the challenges become more complex. First, in terms of security, it is indispensable to make sure that data is secure and in reliable hands. Second, in terms of compatibility and complexity, many devices that have many different technologies may cause many difficulties after merging all these devices in one. Third, in terms of artificial stupidity, the incapacity of AI program to do basic tasks perfectly. Fourth, in terms of lack of confidence, the concern of consumers and businesses about security to protect IOT devices. Fifth, in terms of cloud attacks, the unwished attention from detrimental viruses has been drawn by the quick growth of cloud computing technologies. Finally, in terms of technology, the biggest challenge is the competition of all technologies; however, we have many more challenges and having these challenges and giving competition to every technology is a very tough operation.
The integration of AI and IOT tends to arise rapidly, which will make the internet more useful. AI and IOT will change the future of humans but it requires the support and patience of us. Connecting them together will give a valuable innovation and experimental technology which will benefit companies and user by supplying good and efficient products.
References Katare, G., Padihar, G., Qureshi, Z. (2018). Challenges in the Integration of Artificial Intelligence and Internet of Things. International Journal of Systems and Software Engineering, 6(2), 10-15. Retrieved from http://search.ebscohost.com.citytech.ezproxy.cuny.edu/login.aspx?direct=true&db=aci&AN=134633037&site=ehost-live&scope=site