Omer F. Metin

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Primary Research

on June 04, 2023

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Case Study(Introduction)

Steve Jobs Steve Jobs was an American inventor, designer, and entrepreneur who was the cofounder, chief executive, and chairman of Apple Inc. Born in 1955 to two University of Wisconsin graduate students who gave him up for adoption, Jobs was smart but directionless, dropping out of college and experimenting with different pursuits before cofounding Apple with Steve Wozniak in 1976. Jobs left the company in 1985, launching Pixar Animation Studios, then returned to Apple more than a decade later. The tech giant’s revolutionary products, which include the iPhone, iPad, and iPod, have dictated the evolution of modern technology. Jobs died in 2011 following a long battle with pancreatic cancer. reference: Piccotti, T. (2023) Steve Jobs , Biography.com . Available at: https://www.biography.com/business-leaders/steve-jobs (Accessed: 05 June 2023).

Case Study(discussion)

https://www.cbsnews.com/news/apple-co-founder-steve-jobs-dead-at-56/ Future-Focused Vision: Steve Jobs had a remarkable ability to envision the future of technology and anticipate consumer needs before they even emerged. He had a clear sense of where he wanted to take Apple and the technology industry as a whole. Jobs famously said, "Innovation distinguishes between a leader and a follower," emphasizing his commitment to pushing the boundaries of what was possible. Building a Culture of Innovation: Jobs fostered a culture of innovation at Apple, encouraging employees to think differently and challenge the status quo. He surrounded himself with a team of talented individuals who shared his passion for excellence and his drive for innovation. This culture of innovation permeated throughout the organization and fueled Apple's ability to consistently deliver groundbreaking products. Long-Term Vision and Market Disruption: Jobs had a long-term vision for Apple, aiming to di...

Methodology

Methodology of Artificial Intelligence (https://www.researchgate.net/figure/Several-sub-problems-in-artificial-intelligence_fig5_337002721) This study examines the key issues, developments, technological strategies, and artificial intelligence techniques created by new researchers and experts in the field of machine learning, with a focus on the most notable and pertinent works to date. This review of the literature rates machine learning's major methodological contributions to artificial intelligence. Content analysis was the method used to analyse the documents, and the key terms used in the study between 2017 and 2021 are big data, artificial intelligence, and machine learning. 120 of the 181 references we chose for this study are included in the literature review. Four groups, eight subgroups, and twelve categories make up the conceptual framework. The four machine learning groups—supervised learning, unsupervised learning, semi-supervised learning, and reinforced learnin...

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