Mayowa Oyatogun | Manchester Metropolitan University (original) (raw)

Mayowa Oyatogun

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Papers by Mayowa Oyatogun

Research paper thumbnail of Report detailing the initial analysis of applications of machine learning using Kromium Health as Case Study

Research paper thumbnail of A review of the societal Impact and Challenges of Industry 4.0

For others, "Industry 4.0," "digital transformation," or "Industry X" (a phrase invented by Accen... more For others, "Industry 4.0," "digital transformation," or "Industry X" (a phrase invented by Accenture to widen the benefits of Industry 4.0 beyond manufacturing) are interchangeable names for the fundamental business shifts that businesses are confronting. Industry 4.0 can be thought of as a very broad research subject because it encompasses a wide range of current and future applications at various scales. I4.0 proponents think that next-generation technologies will play a larger role in economic, production, and societal growth, especially as all I4.0 applications demonstrate the potential of cutting-edge technology as well as system-level requirements.

Research paper thumbnail of Google Analytics assesment of a technology company as a case study

Research paper thumbnail of Business Statistics: Analysing the optimal product combination for expansion plans in Comcast South Africa

Several strategies have been developed to extract meaningful data for analysis, summarization, an... more Several strategies have been developed to extract meaningful data for analysis, summarization, and, in general, to assist in the decision-making process. Furthermore, several software tools, including as SPSS, R, Python, and others, have been developed to speed up and simplify analytic procedures. The goal of this analysis is to figure out what product combination is best for Comcast's expansion aspirations in South Africa.
Organizations can profit from investing in these tools by using three statistical methodologies to look at revenue and see how the product mix affects it. Comcast group data will be able to reveal valuable information giving more specific and exact advice towards a decision using approaches such as forecasting, analysis of variance, and regression modelling, and the process will be made faster and more efficient with the use of SPSS.

Thesis Chapters by Mayowa Oyatogun

Research paper thumbnail of An Investigation of Factors Influencing AI Ecosystems and AI Startups in Emerging Markets

The objective of the thesis is to investigate the success factors that influence Artificial Intel... more The objective of the thesis is to investigate the success factors that influence Artificial Intelligence ecosystems, including the success factors that influence Artificial Intelligence startup firms in emerging markets. The primary objective of the study was to identify the factors that influence the growth of AI startup ecosystems.

Research paper thumbnail of Report detailing the initial analysis of applications of machine learning using Kromium Health as Case Study

Research paper thumbnail of A review of the societal Impact and Challenges of Industry 4.0

For others, "Industry 4.0," "digital transformation," or "Industry X" (a phrase invented by Accen... more For others, "Industry 4.0," "digital transformation," or "Industry X" (a phrase invented by Accenture to widen the benefits of Industry 4.0 beyond manufacturing) are interchangeable names for the fundamental business shifts that businesses are confronting. Industry 4.0 can be thought of as a very broad research subject because it encompasses a wide range of current and future applications at various scales. I4.0 proponents think that next-generation technologies will play a larger role in economic, production, and societal growth, especially as all I4.0 applications demonstrate the potential of cutting-edge technology as well as system-level requirements.

Research paper thumbnail of Google Analytics assesment of a technology company as a case study

Research paper thumbnail of Business Statistics: Analysing the optimal product combination for expansion plans in Comcast South Africa

Several strategies have been developed to extract meaningful data for analysis, summarization, an... more Several strategies have been developed to extract meaningful data for analysis, summarization, and, in general, to assist in the decision-making process. Furthermore, several software tools, including as SPSS, R, Python, and others, have been developed to speed up and simplify analytic procedures. The goal of this analysis is to figure out what product combination is best for Comcast's expansion aspirations in South Africa.
Organizations can profit from investing in these tools by using three statistical methodologies to look at revenue and see how the product mix affects it. Comcast group data will be able to reveal valuable information giving more specific and exact advice towards a decision using approaches such as forecasting, analysis of variance, and regression modelling, and the process will be made faster and more efficient with the use of SPSS.

Research paper thumbnail of An Investigation of Factors Influencing AI Ecosystems and AI Startups in Emerging Markets

The objective of the thesis is to investigate the success factors that influence Artificial Intel... more The objective of the thesis is to investigate the success factors that influence Artificial Intelligence ecosystems, including the success factors that influence Artificial Intelligence startup firms in emerging markets. The primary objective of the study was to identify the factors that influence the growth of AI startup ecosystems.

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