PUBLIC ENTERPRISE, 2023, ISSUE 27., VOL.1, ARTICLE 3

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Using Machine Learning to improve the performance of Public Enterprises

Authors

Naresh C. Saxena
Independent Researcher, Canada
https://doi.org/10.21571/pehyj.2023.2701.03

Abstract

Governments all over the world are aiming to improve the performance of their public enterprises. The goal of this method is to help public enterprise CEOs transition from a bureaucrat mentality to a leader mentality. Profitable operation of public sector enterprises through cutting edge technology is included in this effort. Machine learning is a subset of Artificial Intelligence using mathematics and statistics to learn from data and, sometimes, make predictions. is able to analyse massive quantities of data, and identify patterns in that data. In doing so, it provides new sources of inspiration and innovation. Machine learning opens new possibilities to drive positive change; helping computers learn from data to create models humans would not be able to build otherwise. The challenge is to maintain trust and deliver real benefits for everyone. To be useful, the applications of machine learning will, require close interaction between IT professionals and public enterprise executives.

Keywords

Machine learning, Public enterprise, Artificial intelligence

Reference to this paper should be made as follows: Saxena, N. C. (2023). Using Machine Learning to improve the performance of Public Enterprises, 27(1), 39-51. https://doi.org/10.21571/pehyj.2023.2701.03