Additionally ai technologies could also help public

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be solved. Additionally, AI technologies could also help Public Relations agencies improve their creativity especially when it comes to ideas. It increases the opportunities for such agencies to focus on what is really important and what defines them as a Public Relations agency. With an influx of ideas from these technologies, the agency could also be in a position to identify areas of inefficiency and this will help minimize wastage of different kinds (Galloway and Swiatek, 2018). In spite of the multiple benefits that AI offers in the Public Relations industry, future implications are negative and cannot be overlooked. This is because many people fear that using these technologies could make their jobs obsolete and they will be rendered jobless (Makridakis, 2017) . b) Healthcare and Medicine The way medical science was perceived several years back and the way it is currently being perceived is totally different. This is due to the advanced AI technological development as more efficient healthcare services have been introduced in the medical field. Patients can now receive constant support from the healthcare bots which are very 12
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effective in answering frequently asked questions as well as schedule appointments in a quick manner (Galloway and Swiatek, 2018). With the increasing use of advanced technologies, access to clinical and patient data as well as images has become more accessible. AI allows detailed analysis of the clinical data in a way that cannot be accomplished by a single physician (Kapoor, et al, 2018), particularly in ophthalmology. The IBM Watson Health has implemented the advanced technology which enables professionals to share health data deliver insights to further care through hospitals, providers, insures researchers ad patients as well. By doing so, it is able to address the world’s most pressing health challenges. c) Financial Services Industry This industry has attracted considerable interest in technology advancements as it can be transformed in its early stages of development. The application of AI to the finance industry provides opportunities to enhance compliance and safety within the institution (Wall, 2018). Supervisors can efficiently and effectively deploy the resources they have in order to accomplish their missions. As such, they are able to explore different financial problems using machine learning in a variety of ways to address such problems. Banks are currently using AI technologies to handle a lot of activities on a day-to-day basis (Wall, 2018). These could be financial operations, investing money in stocks or even managing different properties. All these activities need to be done accurately. AI, therefore, helps banks to achieve accurate and efficient results in quick turnaround time (Cearley, et al, 2018). It also helps banks handle their customers and give them quick solutions to whatever financial assistance 13
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they may need, leaving them happy and satisfied. The use of machine learning techniques in banks is also not new as they are used to detect credit card fraud (Dirican, 2015).
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