Mayowa Oyatogun - Profile on Academia.edu (original) (raw)

Mayowa Oyatogun

Arnab  Bhattacharya related author profile picture

Steven Pinker related author profile picture

Charalambos  Tsekeris related author profile picture

Maurizio Forte related author profile picture

David Seamon related author profile picture

Ömer Tuğsal Doruk related author profile picture

Armando Marques-Guedes related author profile picture

Fabio Cuzzolin related author profile picture

Willeke Wendrich related author profile picture

Carlo Bianchini related author profile picture

Uploads

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.

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 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.

Log In