AI and Its Impact on Business and Society

AI and Its Impact on Business and Society

Aditya Pai H. (Jain University, India), Mahesh T. R. (Jain University, India), Jyoti Agarwal (Graphic Era University, India), Vinoth Kumar V. (Vellore Institute of Technology University, India), Sharon Christa (School of Computing, MIT ADT University, India), and A. Suresh Kumar (Independent Researcher, India)
DOI: 10.4018/979-8-3693-0683-3.ch002
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Abstract

Industries follow the reactive approach in finding the errors and threats in the development process and mitigating them. In the chapter, an IT industry of small and medium levels is taken as a part of the case study. In small and medium level enterprises (SMEs), the predictive maintenance technique is used rather than the reactive approach. The transition from reactive to predictive was essential for the SMEs to help the managers and the development team anticipate future problems based on past data. An SME has been taken as a case study. The study uses a data set of 6 months for the prediction. The dataset generates the software development process and rules matrix. The matrix is used for analyzing and predicting the accuracy of the software development results of the project. Here, three AI algorithms are used for the prediction. After getting the result, comparative analyses are done between the three AI algorithms to select the best among the three. The chosen algorithm will be used in the development process to improve the business prospects of the enterprise.
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