OPTIMISING SOFTWARE DELIVERY PIPELINES FOR AI-DRIVEN APPLICATIONS USING DEVOPS PRINCIPLES

Authors

  • Satish Reddy Goli Author

DOI:

https://doi.org/10.48047/1bhhyr65

Keywords:

powered applications, DevOps, MLOps, continuous integration, software delivery pipeline, automation, scalability, model retraining, pipeline optimisation, CI/CD.

Abstract

The process of optimising software delivery pipelines to be used in AI-driven applications focuses on increasing automation, scalability, and reliability when it comes to the deployment of machine learning models. The use of AI 

 

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Published

15.11.2022

How to Cite

OPTIMISING SOFTWARE DELIVERY PIPELINES FOR AI-DRIVEN APPLICATIONS USING DEVOPS PRINCIPLES . (2022). International Journal of Information and Electronics Engineering, 12(4), 35-44. https://doi.org/10.48047/1bhhyr65