Integrating MLOps and DataOps for End-to-End Intelligent Data Platforms
Abstract
The convergence of DataOps and MLOps is essential for delivering scalable and maintainable intelligent systems. This paper presents an integrated operational model that aligns data engineering and machine learning lifecycles, improving deployment velocity and governance.
Cite this article
(2025). Integrating MLOps and DataOps for End-to-End Intelligent Data Platforms. Research Explorations in Global Knowledge & Technology (REGKT), 4 (2). Retrieved from https://regkt.com/article.php?id=754&slug=integrating-mlops-dataops-intelligent-platforms