THE CONVERGENCE OF DEVOPS, DATA SCIENCE, AND AI IN SOFTWARE DEVELOPMENT

Authors

  • Gopalakrishnan Mahadevan Independent Researcher, USA. Author
  • Murali Kadiyala Independent Researcher, USA. Author
  • Santosh Panendra Bandaru Independent Researcher, USA. Author
  • N V Rama Sai Chalapathi Gupta Independent Researcher, USA. Author
  • Chandra Jaiswal Independent Researcher, USA. Author

Keywords:

DevOps, Machine Learning, Continuous Integration

Abstract

This report focuses on the interaction and the impact that can be achieved when DevOps, Data Science and AI are adopted in the software development process. However, by reviewing relevant literature and evaluating the existing practices in software development fields, several aspects that may improve development processes are revealed. These complex combined elements contribute to innovation, enhancement of software quality, and effective decision-making as pointed out by our research. However, some challenges should be overcome; these may include the shift in cultures and technical issues. Finally, it presents suggestions for practitioners and offers questions for future research to enhance the development of this interprofessional perspective.

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Published

2025-02-12

Issue

Section

Original Research Articles

How to Cite

THE CONVERGENCE OF DEVOPS, DATA SCIENCE, AND AI IN SOFTWARE DEVELOPMENT. (2025). International Journal of Artificial Intelligence, Computer Science, Management and Technology, 2(1), 47-56. https://ijacmt.com/index.php/j/article/view/19

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