DEMYSTIFYING MLOPS FOR CONTINUOUS DELIVERY OF THE PRODUCT

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Published: 2022-02-18

Page: 335-339


J. PRAVEEN GUJJAR *

CMS Business School, Jain (Deemed-to-be University), Bengaluru, Karnataka, India.

V. NAVEEN KUMAR

CMS Business School, Jain (Deemed-to-be University), Bengaluru, Karnataka, India.

*Author to whom correspondence should be addressed.


Abstract

Machine learning is becoming integral part of the development of the product and has its own popularity. Once the model is developed and putting to the deployment stage it has to undergone series of stages. Development team should be constant touch with the operation team to deploy the final product. To make the process smoother MLOps come into existence. MLOps is the acronym for Machine Learning Operations (MLOps). It is the discipline make sure that machine learning model delivery through efficient and repeatable workflows. This paper demystifies the machine learning operations and also focus on the challenges and issues present during the delivery of the machine learning models. In this paper, it has been shown the similarity between DevOps and MLOps during the deployment stage. Result of the paper shows the importance of MLOps for the life cycle of machine learning product development.

Keywords: DevOPs, MLOps, model preparation, model deployment, SDLC


How to Cite

GUJJAR, J. P., & KUMAR, V. N. (2022). DEMYSTIFYING MLOPS FOR CONTINUOUS DELIVERY OF THE PRODUCT. Asian Journal of Advances in Research, 5(1), 335–339. Retrieved from https://mbimph.com/index.php/AJOAIR/article/view/2826

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