People used to do makridakis 2017 and thus to create

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people used to do (Makridakis, 2017), and thus to create more jobs rather than to destroy them. As such, it enables firms to achieve significant productivity improvement and at the same time remain competitive in the market. It is clear that the transformation from digital to AI has provided significant productivity improvements, shifted employment patterns and providing learning capabilities in the process. Many organisations have now resorted to the use of AI which has resulted in growing the fear of replacing people by robots when it comes to decision-making processes (Jarrahi, 2018). According to Mart (1977), AI tries to make computers smart since machines are highly thought to acquire intelligence as compared to that of human beings (Mart, 1977). Therefore, to explore a more in-depth understanding of how AI works, this chapter introduces the application of AI in best practice management and the main aims and objectives to be addressed in this dissertation. Focus will be placed on the use of existing literature and the usefulness of AI in the real world.
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1.2 The rationale for doing the research The concept of AI has been broadly described, combining hybrid intelligence systems, new crowd intelligence systems and more complex intelligence systems (Pan, 2016). Its application is varied and ranges. Thus, AI becomes advantageous as it is a tool that retrieves and analyses a vast amount of data which exceeds the human capability. Different sectors ranging from real estate to medicine, to construction, to transportation and also in marketing/business have applied AI in their day-to-day operations. For instance, in its application, AI can contribute to assessing a person's credit risk (Marwala, 2015). AI as a decision-making tool is attributed to its deep learning qualities. It is a complicated situation that limits the human's capability thus prompting machines to deliver higher decision quality. Studies such as Pan (2016) have indicated that the information environment plays a crucial role in promoting the application of AI thus making it a key area of interest in research. The use of AI application provide enough evidence that has enabled the transformation of the world from double space to a ternary area (Pan, 2016). Moreover, the rising social demands for AI promotes new AI research. It is seen in its broad applications as it has undergone significant changes from using a computer to simulating human intelligence. As part of its transformation on intelligent systems, AI enables new business models as it supports essential initiatives (Cearley, et al, 2018). It makes things become increasingly digitalized. As a result, AI will require data resources which enhances significant advancements in the AI technology. In view of the above background, this dissertation aims to explore a broader point of view on AI and its application regarding to best practice management. The 2
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results will be helpful in determining the effectiveness of AI and its application in best practice management, through the following questions: 1. What is the current trend of AI and its application in best practice management?
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