The importance of artificial intelligence - Myassignmenthelp.Com

Question: Discuss aboutThe importance of artificial intelligence. Answer: Introduction The main objective of developing artificial intelligence is to formulate intelligent machines that are able to accomplish work for humans with efficiency. The information technologys experts have research on several perspectives like knowledge, reasoning ability, problem solving, learning and planning ability for designing the artificial intelligence. Katsalis, et al. (2016) stated that with the help of artificial intelligence machines are able to do repetitive work faster and accurately that furthermore enhance the overall productivity of the organization. However, some organizations use the artificial intelligence for giving quality services to the customers that can make their life easier. Katsalis et al. (2016) moreover, depicted that in recent times, telecommunication sector utilize the concept of AI for effective exchange of information by electrical means irrespective of the distance between a sender and the receiver. The telecommunication industry comprises of the Software-De fined Networking (SDN) for evaluating the Operations Maintenance (OM) systems, Service-Oriented Architecture (SOA) and Network Functions Virtualization (NFV). The major benefit of this artificial intelligence is transferring of the electronic messages quickly and optimized in real time. This technology not only helps the organization to obtain efficient network management but also help people to deliver their message to the desired people effectively without any data loss. Thus, this research will highlight the importance of big data and artificial intelligence in telecommunication industry in improving customer experience and life style. Significance of the research Research papers developed by other research scholars highlights the importance of the artificial intelligence and big data in a particular sector like automobile industry but this research study will highlight the significance of the big data and artificial intelligence on consumers. This research will focus more on how communal are benefited from these technology through telecommunication industry. Aim of the research The aim of the research is to highlight the importance of big and artificial intelligence in telecommunication sector and how this technology helps in improving the customer experience and their life style. Research objectives To identify the benefits of big and artificial intelligence in telecommunication sector To critically evaluate the importance of big and artificial intelligence in improving customer experience To investigate the significance of big and artificial intelligence in improving customer life style Research questions What are the benefits of artificial intelligence in telecommunication sector? What is the importance of big and artificial intelligence in improving customer experience? What are the significance of big and artificial intelligence in improving customer life style? Literature review Background of the company Ethicality group represents from Emirates Telecommunication Group Company PJSC and serving telecommunication services to all the communication in 16 countries from last four decades and they provided their innovation solutions to 140 million subscribers (Etisalat.com 2018). The current market share of Etisalat is over 42.5 billion USD or AED 156 billion (Etisalat.com 2018). The net profit of the concerned organization in the year 2016 was AED 8.4 billion (Etisalat.com 2018). Etisalat offers 3G and 4G mobile internet access, prepaid and post-paid dialup internet access and broadband internet services (Khaleejtimes.com 2018). They also provide free Wi-Fi facility in central locations like- cafes, resturamts and shopping malls. Benefits of big and artificial intelligence in telecommunication sector Verbeke et al. (2012) stated that telecommunication sector has a close relationship with the use of artificial intelligence as it enhances the connectivity between the different entities in the digital ecosystem. Telecommunication experts also depicted that in recent times, the major focus of the telecom marketers is to improve the customer experience, reduced cost of the services that they are providing and increase compliances by reducing the human errors. There are several AI used in telecom industry like- customer service chat bots, predictive maintenance and speech and voice services for customers (Chen et al. 2012). The benefits that telecommunication sector get from big and artificial intelligence are as follows: Quick response to customers Ramchurn et al. (2012) stated that human face problem when they intend to use a new product or services and then they contact the customer care to get the perfect solution. In traditional time, staffs handled the queries and try to answer them all. Kumar (2012) however argued that not all the time the answer given by these staffs are satisfactory but by the use of AI, customer do not have to wait long on calls. The AI use in telecom services automatically route customers call to the proper agent. Fast identification of the faulty tower The incorporation of AI allow the telecommunication industry to quick identify the damaged power lines and cell towers from the time the signals from these towers started being faulty. Hashem et al. (2016) stated that this intelligent machine raise an alarm and send the message automatically to repair the cable to provide uninterrupted telecom service. Satisfied customers One of the most important benefits that telecom industry gets from using AI is online chat interactions, where a telecom user can talk with their device and they get all the desired information related to the question. These quick interactions with the telecom facility results in more customer satisfaction as they do not have to select a knowledgeable person or do not have to search for books for getting the information (Zhou et al. 2015). The uninterrupted connectivity also enhances their services. Tien (2013) furthermore highlighted that telecom sector have also developed AI technology that connected that mobile device to other distant device like printer and the connection allow to print the picture clicked in the phone directly printed from the printer even though the person is living miles away. Huge coverage of internet network Coppa et al. (2016) stated that it is not possible to built telecom tower for providing internet connectivity. This is the reason the telecom industry have formulated drone in the form of a Flying COW also known as Cell on Wings. This will help the concerned industry to expand their LTE network coverage and people can do video chat with person sitting at any corner of the world. Importance of big and artificial intelligence in improving customer experience Diminished distance Hossain (2013) highlight that several people are living away from their family and desire to stay in touch with them. The connectivity of different devices through telecom services allows the distant family members to remain closely connected with other members of the family. This approach also reduced the time to send the data from one place to another and irrespective of the distance, the message is sent in real time to the desired person. Greater accuracy The online customer support or customer service chat bots are designed with some predefined answers to the most common form of queries that a customer can ask when they face problem. Omoteso (2012) stated that this needs an in-depth survey from the users and experience from the customers and their suggestions. This will allow them to attend most of the customers through pre-defined answer which is also comes with optimized solutions which guarantee resolution of the queries. However, in some special case, the calls get automatically re-directed to the particular expertise staffs and this will allow the user to directly communicate with the correct person. Faster Connectivity In recent time, telecom industry has developed technology and intelligent devices that uses 5G connectivity. This improves the customers experience as they can accomplish their communicational work faster than the traditional way of connection. Hossain (2013) stated that with the help of artificial intelligence, telecom industry is now able to handle traffic classification, anomaly detection, network optimization, resource utilization, network orchestration and formulated adaptive customer journeys. All these activities are obtained at faster rate that makes the help communal to get in touch with their desired person more effectively. Significance of big and artificial intelligence in improving customer life style Customer can communicate with more people The uninterrupted services not only diminished the faulty connections it also improves the rate of connectivity that a person can make in their daily life. The technology for video conferencing or call conferencing has also improved the technology through which more than one person can communicate with each other. Thus, the AI technology results in building a close relationship with all the close members. More focused to work-oriented tasks In recent times, the AI in telecom industry provide user to connect with the device with voice recognition technology. Minelli et al. (2012) also stated that human now do not have to make a call or type the question that they want to know. The AI will answer all the queries within lesser time and they can focus more on the task for which they have raised a query to the operator. More secured communication with the chat bots helps people to rely on their telecommunication operator. One such benefit is to get the automatically generated message over the phone in offline even a call has been made from internet. This makes the sender acknowledged about that the process is secured and they have communicated with the correct person. Methodology Research philosophy The research philosophy is used to gain the knowledge regarding the research topic from the data collected through the research. Positivism, realism and pragmatism are the three research philosophies. The positivism research philosophy is used when the sample size is large and the research is highly structured (Neuman 2013). The knowledge is developed from the analyzed data; while in realism philosophy, the knowledge is gained through the social believe on the research topic. Lastly, the pragmatism philosophy is the combination of both the positivism and realism philosophies. In this research study, the pragmatism research philosophy is used as both the quantitative and qualitative analysis technique will be used. The quantitative analysis shows the statistical data that are given by customers; while the qualitative review will explain the future development that will be taken to improve the customers life style. Research approach There are two research approaches that are inductive and deductive approaches. Kumar (2014) explains that in inductive approach, new facts and ideas are developed after the data analysis and literature review. On the other hand, the deductive approach highlights the process of addressing all the research questions based on the literature review and data collection. In this research study, the deductive research approach will be used as the importance of the big and artificial intelligence n telecommunication industry for improving the customers life and experience will be described from the primary collected data and the literature review formed through secondary research. Purpose of the research The research purpose shows the way to answer the research objectives and there are two ways of research purpose- exploratory and descriptive purpose. Mackey and Gass (2015) stated that in exploratory purpose no concluding statement will be obtained as it explores new ideas related with the research topic. On the other hand, the descriptive purpose will describe the knowledge attained through the literature review and data collection to answer the research questions. In this research study, the description purpose will be utilized as the main aim of the research that is to investigate the importance of big and artificial intelligence in improving customer experience and life style. Data collection process Primary and the secondary data collection process are the two main processes that is utilized in a research. Taylor et al. (2015) stated that when data are collected directly from the respondents through survey, e-mail questions and interview, it is known as primary data collection process. Moreover, in secondary data collection process, the data are gathered from sources like research papers, related journal articles, newspaper excerpts and companys website. In this research study, primary data collection process will be utilized. Some customer of Etisalat telecom will be selected and will be asked to answer a questionnaire survey and some manager from the some organization will also be selected to obtain information on strategies that is taking to making customers life better. A questionnaire survey will be developed that comprise of question related to the importance of big and artificial intelligence for improving customer experience and life style. Data analysis techniques There are two ways to analyze the data obtained through collection process- quantitative and qualitative data analysis techniques. Silverman (2016) explained that when there is evaluation of numerical data in the research, it is known as quantitative analysis process and on the other hand, when only theoretical data is analyzed to obtain the research objectives, the process is known as qualitative data analysis process. In this research both quantitative and qualitative data analysis techniques will be used. The research outcome from the data collection will be evaluated through ventral tendencies from mean, median, mode and standard deviation. Moreover, the interview question asked from the telecommunication and artificial intelligent departments managers will be evaluated through qualitative data analysis. Sampling technique There are two types of sapling techniques- probability and non-probability techniques. Flick (2015) stated that when there is equal chance of section of the research respondents, it is known as probably sampling technique; however, when not all the research respondents get the same chance to participate in the research, the process in known as non-probability sampling technique. In this research, all the 100 customers are selected who are taking the service of the Etisalad Group and 3 managers from the artificial intelligence department will be selected. Thus, it can be said that the selection of the customer will be done through probability sampling technique wile the selection of managers are selected following the non-probability technique. Ethical consideration The research will be carried by maintaining all the research ethics. The research respondents are provided with a consent form, which will be duly signed by them. This will indicate that they have participated in the research willingly. All the data collected from the respondents are protected under the legislation of Data Protection Act 1998. The collected data will not be used in other business benefits and only used for research purpose. The respondents will be contacted through e-mail and the research outcome will be shared with them after accomplishment of the research. Expected Outcomes This research highlighted the importance of the big and artificial intelligence adapted by telecommunication industry for improving the user experience and life style. The primary research based on the experience that they receive from Etisalat will be asked and it is expected that they will give positive answer as the company claims that they are giving the most prominent and useful telecom services to their users fro the last 40 years. Thus, it is also expected that the research will show a positive result that highlighted the beneficiary side of the telecommunication services and its impact on the customers life and experience. Timescale Main activities/ stages Week 1-2 Week 3-4 Week 5-6 Week 7-8 Week 9-10 Week 11-12 Topic Selection Data collection from secondary sources Literature review Formation of the research Plan Appropriate Research Techniques Selection Process Primary data collection Analysis Interpretation of Collected Data Conclusion of the Study Submission of Final Work Table: Timescale of the research (Source: Created by Author) Reference Chen, H., Chiang, R.H. and Storey, V.C., 2012. 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