A Comparison of Machine Learning Applications Across Professional Sectors

The IUP Journal of Information Technology, Vol. XIV, No. 4, December 2019, pp. 7-20

Posted: 13 Jun 2019

See all articles by Allison Joffrion

Allison Joffrion

University of Texas at Austin - School of Information

Gabriel Bailey

University of Texas at Austin - School of Information

Megan Pearson

University of Texas at Austin - School of Information

Date Written: May 30, 2019

Abstract

Outside the technology world, there is a great deal of confusion surrounding artificial intelligence and its related concepts. The terminology can be confusing and often prevents the general public from engaging in conversation about its impact and implications in a substantial way. This review will cover the uses of machine learning in the financial, healthcare, and advertising industries in order to shed light on its various applications in an accessible way. By synthesizing the literature associated with each sector’s uses of machine learning, the paper contributes to the conversation in a way that seeks to clarify an often mythologized subject in a way that can be understood by anyone who wishes to engage in the larger conversation about the role, scope, and ethics of machine learning in the future.

Keywords: Machine learning, Applied machine learning, Healthcare, Advertising, Finance

Suggested Citation

Joffrion, Allison and Bailey, Gabriel and Pearson, Megan, A Comparison of Machine Learning Applications Across Professional Sectors (May 30, 2019). The IUP Journal of Information Technology, Vol. XIV, No. 4, December 2019, pp. 7-20, Available at SSRN: https://ssrn.com/abstract=3396338

Allison Joffrion (Contact Author)

University of Texas at Austin - School of Information ( email )

Austin, TX
United States

Gabriel Bailey

University of Texas at Austin - School of Information ( email )

Austin, TX
United States

Megan Pearson

University of Texas at Austin - School of Information ( email )

Austin, TX
United States

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