Enhancing the MLOPS Deployment Process Using Gen AI

This paper examines the current state of MLOps and emphasizes the importance of developing ML and AI-powered applications. The study commences by defining MLOps and conducting a Literature Review to highlight critical studies in this area. It then delves into the current state of MLOps, providing examples of how major tech companies implement MLOps across their organizations. Additionally, the paper discusses the benefits of utilizing MLOps and addresses deployment challenges in the current process. Furthermore, it proposes an innovative solution to improve existing practices. It presents a technical architecture system design for implementing this novel approach using GenAI to enhance and streamline the MLOps deployment process.

Authors

Publication Details

Published
2024-10-26
DOI
https://doi.org/10.5121/csit.2024.142002
Primary Topic
Service-Oriented Architecture and Web Services
Type
article
Field-Weighted Citation Impact
0.00
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article

Enhancing the MLOPS Deployment Process Using Gen AI

Gurpreet Singh Chhabra, Azmeera Chandu Naik, Pankaj Pilaniwala
Service-Oriented Architecture and Web Services
article

Enhancing the MLOPS Deployment Process Using Gen AI

Gurpreet Singh Chhabra, Azmeera Chandu Naik, Pankaj Pilaniwala
article en

Abstract

This paper examines the current state of MLOps and emphasizes the importance of developing ML and AI-powered applications. The study commences by defining MLOps and conducting a Literature Review to highlight critical studies in this area. It then delves into the current state of MLOps, providing examples of how major tech companies implement MLOps across their organizations. Additionally, the paper discusses the benefits of utilizing MLOps and addresses deployment challenges in the current process. Furthermore, it proposes an innovative solution to improve existing practices. It presents a technical architecture system design for implementing this novel approach using GenAI to enhance and streamline the MLOps deployment process.

Industry, innovation and infrastructure
Openalex Percentile: Top 68%
Service-Oriented Architecture and Web Services
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