How firms in UAE can successfully integrate AI

Reference no: EM132883788

Artificial Intelligence in Industrial Management

Slide Number 1
The research will also study how successful adaptation and adoption can lead to competitive advantage for the said business. Since extant literature is riddled with the worth of Artificial Intelligence for different industrial sectors, the current research aims to pave a path that firms in different industries can use to adopt and successfully utilize Artificial Intelligence, thus characterizing the growth of sustainable and productive technology in the world. The extant literature on the importance and application of Artificial Intelligence for industries in the UAE seems to be lacking. The current research aims to bridge the gap by exploring how firms and industries in UAE can successfully integrate AI into their organizational infrastructure.

Slide Number 2
The notion of a Literature Review invites an exploration of different valid research articles to understand the foundation of a research subject. Analysis on the subject informs that literature review is a reserve of information that researchers can tap at any given moment to understand the roots of a research subject. The literature review empowers a researcher to study the extent to which research and evaluation on a subject have already been. It is a great reserve to understand the strengths and weaknesses in a research field, the gaps that threaten the application of a procedure, and the extent to which the use of a technique will bring about success in a procedure.

Slide Number 3
The central aim of the research is to propose a framework that aids in manufacturing operations and proactive management, an outcome where methodology will guide the research
The primary stage of the methodological process, a research design, aims to evaluate the data and its nature to understand how it can be categorized
The information will be characterized in the form of a proposed framework for manufacturing operations and proactive maintenance

Slide Number 4
The nature and construct of the current assessment are that the role of AI for industrial management is under question. The previous segment has highlighted the need for data to be primary and inspected in the light of quantitative research.

Slide Number 5
The sample is closely associated with population, which refers to the entire set of people or objects upon which research will be conducted. A sample is a small segment of the population, and statistical experiments highlight that effectively constructed samples can emulate the characteristics of a population (Eriksson & Kovalainen, 2015). Sampling techniques focus on constructing effective samples through probability and non-probability techniques called sampling techniques. Extant literature informs that each sampling technique suits the research subject

Slide Number 6
In the last stage in the methodological process, data analysis methods aim to understand and select the data analysis techniques that suit a research subject. The study finds that accumulating data and simply keeping it in a raw form does not cater to any research subject. It is imperative to collect the information and process it using data analysis techniques to ensure that the information is understandable

Gradual increase in complexity leads the data towards complex data analysis techniques such as inferential statistics. If the information caters to basic information, simple techniques such as data representation and content analysis can easily explain the information

Reference no: EM132883788

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